Translating Molecules into Imaging—The Development of New PET Tracers for Patients with Melanoma

Abstract

Melanoma is a deadly disease that often exhibits relentless progression and can have both early and late metastases. Recent advances in immunotherapy and targeted therapy have dramatically increased patient survival for patients with melanoma. Similar advances in molecular targeted PET imaging can identify molecular pathways that promote disease progression and therefore offer physiological information. Thus, they can be used to assess prognosis, tumor heterogeneity, and identify instances of treatment failure. Numerous agents tested preclinically and clinically demonstrate promising results with high tumor-to-background ratios in both primary and metastatic melanoma tumors. Here, we detail the development and testing of multiple molecular targeted PET-imaging agents, including agents for general oncological imaging and those specifically for PET imaging of melanoma. Of the numerous radiopharmaceuticals evaluated for this purpose, several have made it to clinical trials and showed promising results. Ultimately, these agents may become the standard of care for melanoma imaging if they are able to demonstrate micrometastatic disease and thus provide more accurate information for staging. Furthermore, these agents provide a more accurate way to monitor response to therapy. Patients will be able to receive treatment based on tumor uptake characteristics and may be able to be treated earlier for lesions that with traditional imaging would be subclinical, overall leading to improved outcomes for patients.

1. Introduction

Melanoma of the skin is the deadliest form of skin cancer and can also be found in other organs including the eyes and mucosa. The lifetime risk of being diagnosed with melanoma is now 1 in 54 individuals [1]. Prior to the advent of targeted and immunotherapies, stage IV disease had a dismal prognosis, with a median survival time of 7.5 months and a five-year survival rate of approximately 6% [2,3].

2. Recent Paradigm Shift in the Systemic Therapeutic Armamentarium

Dacarbazine was previously the standard of care therapy in metastatic melanoma [4], with response rates of approximately 20% but with a dismal five-year overall survival rate of less than 10% [5,6,7,8]. Imaging plays a key role in staging melanoma with CT of the chest, abdomen, and pelvis and/or whole body.¹⁸F-FDG PET-CT most is commonly performed to evaluate patients for metastatic disease. ¹⁸F-FDG PET-CT is also used to evaluate progression of disease and response to therapy [9]. Research has shown PET-CT to have superior sensitivity for the detection of melanoma metastases, with sensitivity of 94.2% compared to 55.3% for CT alone [10]. More recently targeted inhibitors, especially those against BRAF and MEK inhibitors, have emerged as important therapeutic agents in melanoma therapy. A significant portion of cutaneous melanomas have a BRAF mutation, which has led to the development of drugs targeting proteins produced by this mutant gene [11,12]. Two BRAF inhibitors, vemurafenib and dabrafenib, are approved in the United States and Europe for treatment of patients with unresectable or metastatic melanoma with BRAF V600E mutations and function as small molecule inhibitors of BRAF kinase [13]. The BRIM-3 trial examined the efficacy of vemurafenib for the treatment of metastatic melanoma, and found an overall 84% six-month survival rate compared to a 64% survival rate in those treated with dacarbazine. Vemurafenib was also associated with increased overall and progression-free survival [14]. Similarly, MEK inhibitors have offered hope to patients with melanoma. Mitogen-activated protein kinase (MEK) 1/2 are downstream targets of BRAF and drive oncogenesis in melanoma. An early study by Flaherty et al. demonstrated that administration of the MEK inhibitor trametinib improved overall survival and progression-free survival compared to those treated with dacarbazine [15]. Subsequently, several studies evaluated combined BRAF and MEK inhibition and found improved outcomes with the combined regimen compared to either alone [16].

The advent of checkpoint inhibitor immunotherapy represented a major advance in the treatment of melanoma. In 2010, a seminal study in the New England Journal of Medicine using the CTLA-4 inhibitor ipilimumab demonstrated an increased overall survival rate of 10.1 months compared to 6.4 months when patients were treated with an experimental peptide vaccine alone. Importantly, researchers demonstrated that approximately 20% of patients achieved a durable response [17]. A meta-analysis by the same group assessing response rates to ipilimumab in patients with unresectable or metastatic melanoma in 12 studies, including both prospective and retrospective research, confirmed a durable response in approximately 20% of patients [18]. PD-1 inhibition provided another opportunity to modulate the immune activation pathways, increasing the number of patients achieving a durable response. A head-to-head study of PD-1 inhibitor pembrolizumab and ipilimumab demonstrated that pembrolizumab resulted in a 46–47% six-month progression-free response compared to ipilimumab, which demonstrated a 27% progression-free response [19]. Ultimately, research demonstrated that combined CTLA-4 and PD-1 blockade was more efficacious than ipilimumab alone, leading to FDA approval of combined treatment for melanoma [20,21].

Immunotherapies are an important systemic therapy option for patients with metastatic or unresectable melanoma and have emerged as the preferred first-line treatment in most melanoma populations in various guidelines [22,23]. This includes its use as an initial treatment for treatment-naïve patients with metastatic melanoma with or without BRAF V600 mutation where immunotherapy agents have been associated with durable long-term survival in patients with responding disease.

3. Current Role of Medical Imaging

In patients with a diagnosis of melanoma, medical imaging is essential for the tumor stage assessment, the evaluation of prognosis, and defining the therapeutic algorithm. Currently, for cutaneous melanoma (CM), T stage is only defined on primary tumor pathological analysis according to Breslow thickness and ulceration. Nodal involvement is one of the main prognostic factors in melanoma as N+ patients are considered as stage III by the Union for International Cancer Control (UICC), with a high risk of distant metastases, requiring adjuvant immunotherapy [24]. For cN0 patients both clinically and radiologically (CT scan and/or ultrasound), sentinel node (SN) biopsy coupled with SPECT-CT is the standard of care to evaluate the potential nodal involvement [25]. SN status remains the strongest prognostic factor for patients with CM [26].

In CM treatment, surgery is not only required for primary tumor resection with clear margins, but also for tumor staging for the evaluation of nodal involvement in cN0 patients. Improving the accuracy of SN detection with better pre-operative visualization on SPECT-CT may be useful to limit the rate of false negative cases. Moreover, in some specific regions such as the head and neck, SN detection may be more difficult due to “shine-through” radioactivity of the primary tumor, which could mask the positive lymph nodes in close proximity [27]. Therefore, new detection methods of SNs are needed, including the use of new tracers that rapidly clear the injection site but would be selectively retained within the SN [28].

Considering the surgical management of patients with mucosal melanoma (MM), two main issues remain: the poor prognosis linked to the disease’s high metastatic potential and the morbidity related to the primary tumor resection [29]. The decision of tumor resection feasibility and morbidity often rely heavily on CT or MR imaging. However, current imaging techniques are limited in their ability to visualize melanoma given that it is often multifocal with superficial and mucosal extensions that are not well visualized on these modalities or PET-CT [29,30,31]. Tumor resection feasibility and morbidity are determined according to CT-scan and MRI analysis. Combining imaging techniques, such as PET-MRI with specific melanoma tracers may increase sensitivity in detecting the extent of the disease that can more precisely guide surgical planning and avoid unnecessary surgeries in patients with unresectable disease. Moreover, an earlier detection of patients with metastatic disease and/or locally advanced tumors could be very useful for avoiding unnecessary surgery (e.g., maxillectomy).

Recently, specific tumor characteristics on ¹⁸F-FDG PET-CT were described as prognostic biomarkers of oncological outcomes and response to immune checkpoint inhibitors [32]. Thus, these imaging biomarkers could be of primary importance in choosing between local treatment and immunotherapy. In the case of neo-adjuvant therapy (e.g., immunotherapy or targeted therapy), the imaging response assessment with the distinction between tumor necrosis, “flare” phenomena and residual disease constitute another challenge to address in order to adapt the therapeutic strategy and determine the ideal timing for surgery.

While PET-CT and CT imaging are the standard of care for staging and monitoring the progression of melanoma, other imaging modalities may be used for problem solving or to provide supplemental information. One such modality is high frequency ultrasound (HFUS), or ultra-high frequency ultrasound (ultra-HFU). Because of the high resolution of superficial structures, studies have shown that HFUS can determine the Breslow index in a significant number of patients, providing important clinical information previously only obtained via biopsy [33,34]. Another recently developed approach is the use of multispectral imaging for the diagnosis of melanoma. A prospective study using a multispectral imaging system on 1391 skin lesions, including 184 melanoma lesions, demonstrated that with the use of a neural network trained to automate diagnosis, the network was able to discriminate between non-melanomatous lesions and melanoma with a sensitivity of 80.4% and a specificity of 75.6% using histology as the gold standard diagnosis [35]. While neither of these techniques have reached widespread use, they offer promise to supplement PET-CT and CT imaging in cases where these traditional modalities are non-diagnostic.

Despite advances, progressive or recurrent disease remains a major concern for patients with melanoma. Sentinel lymph node biopsy is widely used to stage the disease and it assesses both micrometastatic and macrometastatic disease [36]. While most research has focused on metastatic disease in sentinel lymph nodes [37,38,39], disseminated micrometastatic disease including lesions less than 2 mm in greatest dimension, which is below the resolution of traditional imaging, may have a significant clinical impact and is currently not well identified. Similarly, metastatic dormancy in melanoma has been observed in both cutaneous and uveal melanoma, representing a clinical risk but also an area of opportunity to improve outcomes [40]. The ability to identify micrometastatic or dormant metastatic disease that is below the resolution of current CT or PET-CT would constitute a major advance in the field and allow for more accurate staging and monitoring of the progression of the disease. Targeted molecular imaging represents the best strategy for identifying disease that is not visualized on traditional imaging modalities. Thus, there has been keen interest in developing targeted molecular imaging agents to better visualize micrometastatic disease. Numerous cancer-specific or melanoma-specific tracers are in preclinical development and may change the landscape of melanoma diagnosis and monitoring. Here, we detail some of the most promising new agents and describe their progress toward approval for clinical use.

4. Clinical Challenges and Unmet Need

Imaging is critical to assess the extent of disease, detect recurrence, or monitor disease progression and therapeutic response. Different imaging techniques pose their own clinical challenges with limitations in sensitivity and specificity and risks of both false-positive and false-negative results. While false-positive findings may result in unnecessary and invasive procedures, false-negative findings may result in delayed diagnosis and treatment. In one study of 154 patients with stage III melanoma who underwent surveillance using CT or PET-CT, the false positive rate was 53%, with 88% of lesions found to be benign [41]. Non-malignant conditions such as benign skin conditions, post-vaccine nodal uptake, and treatment-related findings such as that seen with immunotherapy can limit accurate imaging interpretation [42]. Furthermore, PET-CT imaging uses ionizing radiation both via radiotracer administration and the CT portion of image acquisition, posing a small, but nevertheless non-zero risk to the patient. Compared to other cancers, melanomas often occur in patients at a younger age and therefore the cumulative risk of radiation exposure over time may become significant with lifetime post-treatment surveillance. Given these limitations, there remains an ongoing need to develop imaging modalities that are both highly sensitive and specific in detecting melanoma.

5. PET Imaging Agents for Cancer

Many new PET imaging agents developed for cancer imaging can be used in patients with melanoma and this strategy may address many limitations of current imaging, providing prognostic information and mapping of tumor heterogeneity, and may help detect lesions below the resolution of CT imaging. Here, we present several of the most promising new imaging agents that may transform the diagnosis, staging, and monitoring of metastatic melanoma. We focus on novel imaging agents; however, often there is a companion therapeutic treatment using the same targeting molecule and a therapy radionuclide, which we briefly touch upon in the text. Figure 1 summarizes PET imaging targets to illustrate the melanoma discussed in this paper.

6. ¹⁸F-FDG Targeting

¹⁸F-FDG PET is a “non-melanoma” specific agent that has demonstrated its usefulness for several indications such as staging, prognostication, and treatment response assessment, and it may have theranostic applications [43]. Its main advantages are its cost, availability, FDA approval, and the fact that most non-resectable melanoma tends to be ¹⁸F-FDG avid, including cutaneous, mucous, and uveal melanoma [32].

Its main limitations are two-fold. First, it has limited utility for the detection of subcentimeter lesions and hence limited performance for the detection of micrometastases [43]. Second, ¹⁸F-FDG avidity is not a specific biomarker since glucose metabolism is increased in a wide range of inflammatory processes. For instance, one of the challenges is that new ¹⁸F-FDG avid lesions may represent potentially life-threatening treatment-induced, immune-related adverse events which should be promptly diagnosed to initiate dedicated treatment [44,45].

¹⁸F-FDG PET-CT has been demonstrated to be a powerful prognostication tool. Several studies have demonstrated that increased tumor volume and increased glucose metabolism in hematopoietic tissues (i.e., spleen and bone marrow) are typically associated with poor prognosis, lower response rate, and an immunosuppressive environment in cutaneous, uveal, and mucosal melanoma. In non-resectable mucosal melanoma, high baseline maximal glycolytic activity (SUVmax) was correlated with poorer outcomes in immunotherapy [32]. In non-resectable cutaneous melanoma, high baseline metabolic tumor burden and high bone marrow metabolism were correlated with poorer outcomes in immunotherapy [46]. In a literature review, the prognostic and predictive value of spleen glucose metabolism has been demonstrated. High spleen glucose metabolism at baseline was associated with a poor outcome while treatment-induced change in spleen glucose metabolism was a more equivocal imaging biomarker [47]. Strikingly, biomarkers derived from the analysis of hematopoietic tissues seemed not only a strong prognosticator of outcome but also are reproducible metrics [48].

For treatment response assessment, the pivotal role that ¹⁸F-FDG PET-CT is playing in the field of immunotherapy is demonstrated by the multiple response criteria that have been developed and then finely tuned by the medical community, such as PECRIT, PERCIMT, imPERCIST, and iPERCIST [49,50]. There is growing evidence that FDG PET-CT outperforms conventional imaging with CT-scan for early prediction of response and to provide an early readout on survival in melanoma [51,52,53,54].

Since ¹⁸F-FDG PET-CT is the current standard of care for molecular imaging of patients with a diagnosis of melanoma, the emerging imaging techniques will need to demonstrate how they can outperform and provide additional value to this current benchmark.

7. PD-1/PD-L1 Targeting

PD-1 and PD-L1 inhibitors have been approved by the FDA and EMA for management of advanced and metastatic melanoma as well as other types of cancer and have paved the way for radiolabeled agents for imaging using these antibodies. These agents now constitute first line therapy in most patients, alone or in combination with ipilimumab, an anti-CTLA-4 molecule, even in those with BRAF mutation [23]. About 40% of patients will have a durable response, but no existing biomarkers can accurately predict which patients will respond to therapy at this time. One option to attempt to predict response is to perform anti-PD-1 and/or anti-PDL-1 immunohistochemistry; however, this approach has limitations related to sample heterogeneity from sampling bias and differences in staining techniques. Imaging PD-L1 could overcome some of these limitations and potentially show micrometastatic lesions that are PD-1/PD-L1 positive [55]. Furthermore, longitudinal imaging of these targets might be useful for providing an early and reliable assessment of therapeutic response. Several radiotracers targeting PD-1 and PD-L1 have been developed and are at varying levels of preclinical and clinical development, with some advancing to proof-of-concept studies in humans.

PD-1 and PD-L1 inhibitors are monoclonal antibodies with multiple sites that may be radiolabeled for imaging. The prolonged clearance time of these molecules from the circulation, which takes several days, requires the use of radionuclides with long half-lives. Thus, radionuclides that are more commonly used to image full PD-1/PD-L1 molecules include ⁸⁹Zr (half-life: 78 h) or ⁶⁴Cu (half-life: 12.7 h). Researchers have found that ⁸⁹Zr labelled recombinant human antibody targeting an extracellular domain on human and mouse PD-L1 could evaluate the PD-L1 levels in xenografts derived from non-small cell lung cancer (NSCLC) that subsequently responded to PD-L1 blockade [56]. The optimal time point for imaging was 48 hours post-injection. The group also demonstrated that the radiotracer could detect low levels of PD-L1 in xenografts of other tumor types and therefore could be used to quantify changes of PD-L1 expression resulting from treatment [56].

A radiolabeled monoclonal antibody which is similar to atezolizumab, ⁸⁹Zr-DFO-6E11, has been used for imaging of PD-L1 positive tumors, identifying levels of PD-L1 expression and variation of PD-L1 expression with treatment. Tumors with the highest uptake responded better to therapy [57]. Another study evaluated an ⁸⁹Zr labeled anti-mouse PD-L1 antibody fragment for in vivo assessment of PD-L1 levels in a melanoma mouse model. This agent demonstrated better imaging qualities than the full radiolabeled antibody, with earlier and higher uptake in tumors expressing PD-L1 at 2, 24, and 48 hours [58]. A separate study of ⁶⁴Cu-atezolizumab showed PD-L1 expression across 5 different tumor cell lines, with imaging performed at 24 and 48 hours [59]. While these results have been encouraging, the delay between injection and imaging necessary for imaging these agents may be suboptimal for clinical use, and their dosimetry has been shown to be less favorable than for other agents utilizing radionuclides with shorter half-lives such as ¹⁸F and ⁶⁸Ga. The use of small molecules targeting PD-1 or PD-L1, such as antibody fragments, small proteins, or peptides, confers the possibility of using a radionuclide with a shorter half-life, thereby allowing for same day imaging [60].

The imaging properties of ⁶⁸Ga make it an attractive option for PD-1/PD-L1 imaging. Nb109 is a non-blocking single-domain anti-PD-L1 antibody. A study evaluated ⁶⁸Ga-NOTA-Nb109 uptake using mice bearing tumors generated from the human melanoma cell line A375 transfected with the human PD-L1 gene. Their data demonstrated that the optimal imaging time was 1 hour after injection and that uptake in tumors correlated with PD-L1 expression as assessed by immunohistochemistry. The same radiotracer, ⁶⁸Ga-NOTA-Nb109, was evaluated in another preclinical study of non-melanoma tumors and demonstrated changes in PD-L1 expression in response to cisplatin therapy, which could provide clinically useful information in patients undergoing therapy [61].

Although many tracers have been evaluated in preclinical models, few have led to first-in-human studies. Researchers assessed clinical ⁸⁹Zr-atezolizumab PET-CT imaging in 22 patients with different tumor types before initiation of atezolizumab therapy [62]. The injection was safe and generally well-tolerated. The optimal timepoints for imaging were 4 and 7 days after tracer injection. Analysis of biodistribution of ⁸⁹Zr-atezolizumab demonstrated uptake in non-malignant lymph nodes, lymphoid tissues, spleen, and at sites of inflammation. Radiotracer uptake was heterogeneous and varied with the site of the lesion and the type of cancer. Heterogeneity was also observed across the different lesions within the same patient. Patients with higher uptake values had a better objective treatment response. They also had better progression-free and overall survival. ⁸⁹Zr-atezolizumab better predicted patients’ outcomes than immunohistochemistry performed for comparative analysis [62].

PD-L1 PET imaging using ¹⁸F-BMS-986192 [60] and PD-1 PET imaging with ⁸⁹Zr-nivolumab [63] has also been further evaluated in clinical studies. The optimal imaging time points were 70–90 min after injection of ¹⁸F-BMS-986192 and 7 days after injection of ⁸⁹Zr-nivolumab. Radiotracer uptake was heterogeneous with both radiopharmaceuticals, varying between patients and among lesions within the same patient. Uptake intensity correlated with PD-1 or PD-L1 expression as determined by immunohistochemistry. For both agents, lesions with the highest uptake as assessed by SUVpeak responded better to checkpoint inhibitor therapy.

¹²⁴I-JS001 is a radiolabeled toripalimab, a humanized monoclonal antibody against the PD-1 receptor that has been used for PET-CT and PET-MR imaging in patients with melanoma and urologic cancers [64]. Biodistribution and uptake was studied at 24 and 48 hours post-injection. Primary tumors and metastatic lesions showed different levels of uptake, with intra- and inter-individual heterogeneity. Interestingly, two patients previously treated by toripalimab showed no lesion uptake, suggesting that this agent may have the potential to monitor if toripalimab has reached a target lesion. While this study confirmed the potential of ¹²⁴I-toripalimab as a PET imaging agent, it lacked correlation with PD-1 immunohistochemical staining and did not evaluate response to treatment, and thus the agent warrants further investigation before it could be considered for clinical use.

A prospective phase I study evaluated ⁶⁸Ga-NOTA-WL12, a radiolabeled small peptide with a high affinity with PD-L1 in 9 patients with immunohistochemistry-positive PD-L1 non-small cell lung cancers, along with ¹⁸F-FDG PET [65]. These patients were subsequently treated with a combination of pembrolizumab and chemotherapy [65]. Tumors were identified as soon as one hour post-injection. Furthermore, the injection was safe and well tolerated with significant hepatobiliary clearance and urinary excretion. Patients with high PD-L1 expression had higher radiotracer uptake than patients with low PD-L1 expression, and there was a strong correlation between most ⁶⁸Ga-NOTA-WL12 PET uptake measures and PD-L1 expression, whereas only SUVmean uptake values of ¹⁸F-FDG PET correlated with PD-L1 expression.

While much work remains to be done, these proof-of-concept studies offer great prospects for the future of PD-1- and PD-L1-targeted PET imaging agents in melanoma for the prediction of response to immune checkpoint inhibitors. Further large-scale trials are needed before approval for clinical use. Several clinical trials are ongoing worldwide for these agents, recruiting patients with multiple types of cancer, including melanoma. These studies may provide evidence for the widespread use of PD-1- and PD-L1-targeted PET imaging agents [66].

8. FAP Targeting

The development of fibroblast activation protein (FAP) imaging has represented a major advance in oncological PET imaging given that it can be used to image many tumor types. It has proven to be an excellent imaging agent particularly in tumors that are poorly imaged by FDG-PET, owing to the ubiquitous nature of fibroblasts in cancer. Given that cancer associated fibroblasts (CAFs) are disease specific, there is high tumor-to-background uptake. The main limitation of FAP-targeting ligands is that they also image other disease states that result in fibroblast activation, such as pulmonary fibrosis. Despite this, FAP-targeted PET imaging is highly promising for the detection of primary and metastatic disease.

Fibroblast activation protein (FAP) is a serine protease expressed in activated fibroblasts that infiltrate tumors and provide support for cancer cells [67,68]. Given that fibroblasts are ubiquitous within tumors, scientists recognized that targeting FAP would have great potential for imaging tumors and for the delivery of molecular targeted radiotherapy [69,70]. In 2017, researchers published their work optimizing FAP targeting molecules. Using a quinolone-based backbone, they made a series of 15 compounds with slight variations in chemical moieties. They characterized each of these in terms of binding, internalization, and preclinical pharmacokinetics in order to identify a lead compound which was ultimately FAPI-04. The group performed first-in-human studies of this molecule conjugated to ⁶⁸Ga (⁶⁸Ga-FAPI-04), imaging two patients with metastatic breast cancer, and demonstrating high uptake in metastasis. They also conjugated FAPI-04 to ⁹⁰Y (⁹⁰Y-FAPI-04) and administered this compound, which resulted in palliation of pain associated with metastasis [61].

Given the success of FAPI-04, the group went on to demonstrate ⁶⁸Ga-FAPI-04 PET imaging in 28 types of cancer, including some cancers—such as small intestine cancer—that are difficult to image on ¹⁸FDG-PET [71]. They further evaluated ⁶⁸Ga-FAPI-04 PET as an imaging agent for rare tumors, defined as tumors having an incidence of less than 1 in 2000, and found that it was an effective PET imaging agent for the primary tumor in approximately 20% of these tumors and more than 50% of metastatic lesions [72]. A separate group validated the use of ¹⁸F-FAPI-04 PET as a comparable alternative to ⁶⁸Ga-FAPI-04 PET [70]. Given the avidity of FAP for tumors as demonstrated by the remarkable success of FAP imaging agents, newer compounds including FAPI-42 are being developed to increase tumor retention time [73]. More recently, clinical FAP-targeted PET imaging has been used to image lymphoma in addition to solid tumors [74]. Other FAP-targeting imaging agents such as (4-quinolinoyl)-glycyl-2-cyanopyrrolidine-based small molecules [75,76] and FAP-2286 [77] are also in development; however, they have not yet been as widely used as FAPI-04.

Early clinical research studies have now given way to larger studies evaluating FAP-targeted imaging agents. An ongoing clinical trial (NCT04441606) is currently enrolling patients with the goal of evaluating ⁶⁸Ga-FAPI-04 PET compared to ¹⁸FDG-PET to evaluate disease burden, with an emphasis on malignancies with variable ¹⁸FDG uptake [78]. Another clinical trial (NCT04499365) plans to enroll 500 patients for ⁶⁸Ga-FAPI-04 PET to provide robust clinical data regarding the use of FAP-targeted imaging to diagnose and monitor cancer [79]. Several FAP-targeted radiotherapies are in clinical trials and others are in preclinical stages of development. Given the ubiquitous nature of fibroblasts in cancer and the avidity of FAP-targeted imaging agents, FAP-targeted PET imaging may significantly change the landscape of oncological PET imaging.

9. Melanin Targeting

Melanin imaging is specific to melanoma and has demonstrated its usefulness for several applications such as early diagnosis, staging, progression monitoring, and management of both local and disseminated melanoma. The main advantages are its broad applicability to all pigmented melanoma patients, its high specificity, and the potential to use melanin-targeted radionuclide therapy. Its limitations are potential off-target toxicities. Recent studies have demonstrated that targeting melanin may be more complicated than originally thought, given the plasticity of melanoma cells, the wide range of cell states, and differences in gene expression in patient-derived cell samples compared to cell lines, which have traditionally been used in many research studies. A recent study evaluating patient-derived samples demonstrated that tyrosine levels, a precursor in melanin synthesis, promoted phenotypic drift towards a mesenchymal phenotype and was associated with resistance to MAPK inhibitors [80]. Overall, this and other studies have highlighted the complexity of melanin targeting and its effects on melanocytes, which implies that while it may serve as a target for melanoma, its role is complex and may complicate the use of these inhibitors clinically [81].

The pigment melanin is endogenously synthesized by melanocytes in multiple steps and is present in many tissues of the human body, including the epidermis, hair follicles, eyes, inner ear, bones, heart, substantia nigra, locus coeruleus, and leptomeninges [82,83,84]. Melanin molecules are biopolymers with non-hydrolysable bonds and have both homeostatic and protective functions, including thermoregulation, photoregulation, and protection against UV damage. Most melanomas also produce melanin. High melanin content in melanoma cells has been correlated to disease progression and lower survival as it is involved in immunosuppression and resistance to chemotherapy and radiotherapy [85,86]. Given that 90% of melanomas express melanin, it is an attractive molecular target for PET imaging of melanoma [87], and because it is highly overexpressed in pigmented melanoma, melanin-binding probes can be excellent imaging agents for early detection of the disease [88]. As a companion therapeutic, melanin-targeted radionuclide therapy has demonstrated promising therapeutic responses in vivo [89,90]. Given the promise of melanin-targeting imaging and therapy radionuclides, researchers have worked to develop and optimize these agents to have improved tumor uptake and retention, excellent tumor-to-background ratio, and low toxicities with rapid renal clearance.

Melanin-targeting tracers have the potential to address current shortcomings in detecting melanoma microlesions and are easy and cost effective to produce on site; in particular, three tracers have demonstrated in vivo imaging performance superior to ¹⁸F-FDG: ¹⁸F-5-FPN, which is also called ¹⁸F-P3BZA [91,92,93,94], 18F-DMPY2 [95], and ¹⁸F-ICF01006, which is also called ¹⁸F-MEL050 [88,96,97,98]. ¹⁸F-5-FPN (¹⁸F-5-fluoro-N-[2-(diethylamino)ethyl] picolinamide) synthesis has been optimized and has shown significantly higher uptake in B16F10 cells than ¹⁸F-FDG (13.29 ± 3.80% ID/g compared to 7.24 ± 1.95%) [91]. Lung metastases less than 2 mm were better visualized with ¹⁸F-5-FPN than ¹⁸F-FDG, allowing earlier detection of both regional and distant metastases in mice [95,98]. The radiotracer was also tested clinically in a pilot study with healthy volunteers and in patients with pigmented melanoma, who received ¹⁸F-5-FPN with an average dose of 5.72 ± 0.42 mCi. Despite the small cohort, results were concordant with preclinical studies demonstrating superior imaging capacity for subcentimeter lesions and no serious adverse effects. In addition, the whole-body effective dose received was less than standard ¹⁸F-FDG imaging [92].

DMPY2 (N-(2-(dimethylamino)ethyl)-5-¹⁸F-fluoropicolinamide) resembles ¹⁸F-5-FPN but contains a reduced alkyl chain bearing the amine residue. It also presents high cell uptake and retention, with more than 103-fold higher uptake in B16F10 melanoma cells compared to control cells [95]. In primary tumors, the tracer can be visualized as early as 30 min post-injection with tumor retention up to 4 hours and extremely low background activity 2 hours after injection. DMPY2 uptake in lung metastasis was 115-fold higher than in normal lung tissue. Given that many tumors categorized as amelanotic are actually hypomelanotic, this excellent imaging quality with prolonged tumor retention time and high signal-to-background ratio suggests that it may be clinically relevant for identifying micrometastatic lesions in these cases.

¹⁸F-MEL050 is a benzamine-based agent used for imaging melanin that is detailed below. Together, these melanin-targeting agents have demonstrated high specificity and avidity for melanin, with superior lesion identification in vivo compared to ¹⁸F-FDG. Targeting melanin allows earlier detection of primary lesions and micrometastases that can be occult on ¹⁸F-FDG PET. Unlike other benzamides such as ¹⁸F-FBZA [99], these compounds did not show dose-limiting toxicities. Given that melanin expression is a predictor of therapy response, these probes could be used as predictive biomarkers to determine which patients will respond to therapy. Additional studies are needed to determine the best compound and define the threshold of detection.

As above, targeting melanin for therapy is also a rational strategy that has demonstrated early promise. A group utilized antibodies to treat melanin generated initially for studying Cryptococcus neoformans melanogenesis, and they were repurposed for radioimmunotherapy [100]. They radiolabeled this antibody with ¹⁸⁸Re, which is both a beta and gamma emitter and therefore could be both an imaging and a therapy agent, and demonstrated in a preclinical murine model of melanoma that tumor growth was reduced [101]. This compound was subsequently translated to early clinical trials and showed antitumor efficacy with no dose-limiting toxicities [102]. Given these initial results, more in-depth study is needed to evaluate if this melanin-targeted radiotherapy is appropriate for widespread clinical use.

A concern regarding melanin-targeting molecules is that they may have increased toxicities because of their greater dissemination and retention throughout the body within different sites of metastases. However, studies of ¹³¹I-ICF01012 and ¹³¹I-ICF15002 have demonstrated promising anti-tumor results in vivo with limited toxicities [86,103].

10. Benzamide Targeting

Benzamine imaging is melanoma-specific and has demonstrated its usefulness for several indications such as accurate detection of melanoma metastasis, staging, and evaluation of new treatment strategies. The mechanism of action is based on binding to melanin with a strong affinity in melanoma cells and melanocytes [104].

The main advantages are early, sensitive, and specific detection of pigmented malignant melanoma. Indeed, ¹⁸F-FDG PET imaging, routinely used for initial staging of III/IV malignant melanoma, is not sensitive for the detection of local and lymph node metastasis [97]. Sensitivity and specificity for detecting melanoma metastases depend on the level of melanin expression, which may change depending on the stage of disease development [86].

Benzamide-based PET imaging agents are another rational strategy for PET imaging of melanoma. Iodobenzamides have been shown to be good candidates for this application given that they have a strong affinity for melanoma [105]. Early studies investigated the influence of structural variations on the biodistribution of six isomers of N-(N-dialkylaminoethylene)-¹²³I-iodobenzamide (ABA) in melanoma-bearing murine models. Among these isomers, o-¹²³I-ABA 2-2 exhibited the most favorable pharmacokinetic properties as a melanoma imaging agent [106]. Subsequent preclinical studies have demonstrated radiotracer uptake and imaging in a murine model of melanoma after administration of N-(2-diethylaminoethyl)-4-iodobenzamide (¹²⁵I-BZA) in tumor-bearing mice [107]. Its ¹²³I analogue (¹²³I-BZA) has also been translated for human use and was evaluated in a phase 2 clinical trial as an imaging agent for the detection of primary and metastatic melanoma [108].

More recently, another phase 2 clinical trial studied an ¹²³I-BZA isomer, ¹²³I-BZA(2). Compared to ¹²³I-BZA, ¹²³I-BZA(2) showed a similar affinity associated with better clearance allowing for scintigraphy to be more easily performed (2–4 hours after injection) in patients with ocular melanoma and melanin-expressing metastasis [98]. Another clinical trial evaluating ¹²³I-BZA(2) showed a sensitivity of 100% and a specificity of 95% for the detection of melanoma lesions in histologically proven cutaneous melanoma patients with or without secondary metastases [109]. A prospective and multicentric phase 3 clinical study compared the sensitivity and specificity of ¹⁸F-FDG and ¹²³I-BZA(2) for the diagnosis of melanoma metastasis in 87 patients with a history of cutaneous or ocular melanoma. While the specificity of detection was not significantly different between ¹⁸F-FDG and ¹²³I-BZA(2) (78% vs. 94%, respectively), the study was ultimately terminated early given the higher sensitivity of ¹⁸F-FDG compared to ¹²³I BZA(2) for diagnosis of melanoma metastases (87% vs. 39% respectively) [110].

More recently, researchers have reported the synthesis and preclinical evaluation of a 4-¹¹C-methoxy N-(2-diethylaminoethyl) benzamide (4-¹¹C-MBZA) for melanoma PET imaging [104]. As a melanoma PET imaging agent, 4-¹¹C-MBZA displayed favorable properties compared to its ¹⁸F analogues with low uptake in normal tissue and rapid and persistent accumulation in tumors, resulting in a high tumor-to-background ratio [111].

A new method of ¹⁸F radiolabeling based on coordination chemistry with Al-¹⁸F complexes is being increasingly used. This method presents several advantages: faster total synthesis time, higher radiolabeling yield, and a simpler radiolabeling process [112,113]. A novel NOTA-benzamide derivative, Al-¹⁸F-NOTA-BZA, has been developed with this radiolabeling strategy [114]. MicroPET-CT imaging in two melanoma-bearing mouse models displayed positive pharmacokinetic proprieties, including rapid clearance of Al-¹⁸F-NOTA-BZA from the normal tissues and high uptake within the tumor compared to normal tissue [114].

Another line of research into benzamine-based PET imaging agents for melanoma imaging investigated the radiopharmaceutical (¹⁸F-MEL050) [33]. It was used as a PET tracer for pigmented melanoma after radiolabeling with ¹⁸F in experimental models [96,98]. In vivo PET-CT evaluation was obtained in mouse models of pigmented melanoma, in which higher ¹⁸F-MEL050 uptake was observed in sub-millimeter pulmonary metastasis compared to ¹⁸F-FDG [97].

11. Nicotinamide Targeting

Nicotinamide is a melanin-specific agent, acting via the metabolic pathway related to tryptophan metabolism. Nicotinamide deamidation produces nicotinic acid which binds endogenous ligands HCAR2 and HCAR3 [115]. Data pertaining to nicotinamide imaging are primarily preclinical, and its role in prognostication has yet to be evaluated in the clinical setting and it is not FDA approved for PET-CT imaging in humans. Notable advantages of nicotinamides include early tumor uptake at 2 hours, with additional benefits of renal excretion and a short radiosynthesis time.

As detailed above, overexpression of melanin due to elevated tyrosine kinase activity means that it is an attractive target for both imaging and therapy [116,117]. As discussed above, labeled benzamide and its derivatives are established probes that bind to melanin both in vivo and in vitro and show high tumor accumulation and retention. However, a limitation of these benzamide-based probes is their clearance via the hepatobiliary system resulting in significant retention in some normal organs, particularly in both the liver and gastrointestinal tract, which could potentially limit detection of abdominal lesions including small bowel and liver metastases, which are not uncommon in melanoma patients [104,118,119].

Recently, attempts to overcome this limitation and improve tumor-to-background ratios of melanoma lesions on PET have resulted in the synthesis of radiolabeled nicotinamide analogues, including ¹⁸F-6-fluoro-N-((2-(diethylamino)ethyl)pyridine-3-carboxamide (¹⁸F-MEL050), described above [98,120], as well as ¹²³I-N-(2-(diethylamino)ethyl)-5-iodonicotinamide (¹²³I-MEL008) [121], ¹³¹I-Iochlonicotinamide (¹³¹I -ICNA) [114], ¹⁸F-N-(2-(diethylamino)- ethyl)-6-fluoronicotinamide (¹⁸F-2), and ¹³¹I-iodofluoronicotiamide benzamide (¹³¹I-IFNABZA) [122]. These agents show early and high tumor uptake and renal excretion, which is more rapid than benzamides, in part due to the enhanced hydrophilicity of their pyridine nitrogen. An additional benefit of nicotinamides includes a shorter ‘one-step’ radiosynthesis time. Whereas benzamides require multistep synthesis to incorporate a variety of radiohalogens directly onto the nicotinamide molecule ring, activation of the nicotinamide pyridine ring permits nucleophilic substitution reactions allowing for a more rapid radiosynthesis. For example, the radiosynthesis time for N-[2-(diethylamino)-ethyl]-4-¹⁸F-fluorobenzamide (¹⁸F-FBZA) is 3 h. Clearance via urinary excretion is more rapid for N-alkyl-nicotinamides ¹²³I-1, ¹²³I-2 and ¹²³I-3 than for piperazinyl derivatives ¹²³I-4 and ¹²³I-5. For example, the urinary excretion of ¹²³I-iodo-N-alkyl-nicotinamides is 66% injected dose (ID) is within 1 hour compared to ¹²³I-benzamides (60–80% ID in 24 hours) [98,120,123]. In addition, radiolabeled nicotinamides demonstrate high radiochemical stability and favorable pharmacokinetic properties, making them attractive agents for clinical translation [114].

Synthesis of ¹⁸F- nicotinamides can be achieved via direct nucleophilic substitution of a halogen derivative using a radiofluorination reagent such as Kryptofix (Hexaoxa-l-10-diazabicyclo[8.8.8]hexacosane) [124] or by using the AllInOne™ module [97]. Fluorination typically involves treating a precursor molecule with a complex of M+¹⁸F to generate a “naked fluoride” which can then undergo nucleophilic substitution. Radiosynthesis time is typically about 40–60 min with a radiochemical yield greater than 50%. A typical tumor uptake at 2 hours is 9% ID/gram, with a tumor:blood ratio of about 60. Optimization of nicotinamides radiolabeled with halogens (including ¹⁸F, ⁷⁶Br, ¹²³I, ¹²⁴I, and ¹³¹I) for the purpose of both PET and SPECT imaging in melanoma patients can be achieved by incorporating alkyl amide side chains allowing for their optimal binding to melanin [125].

Further research involved the conjugation of nicotinamide with ¹³¹I-MIP-1145 to form ¹³¹I-iodofluoronicotiamide benzamide (¹³¹I-IFNABZA) and evaluated its biological characteristics in melanoma-bearing mouse models. In cellular uptake studies, the accumulation of ¹³¹I-IFNABZA in melanotic B16F10 cells was almost five times higher than that in amelanotic A375 cells after a two-hour incubation time, which is consistent with rapid and strong binding to melanin. In addition, the authors calculated the absorbed dose in normal organs using the OLINDA software and found that ¹³¹I-IFNABZA exhibited high tumor-to-muscle ratio. The authors concluded that ¹³¹I-IFNABZA demonstrated a potential use for ¹³¹I-IFNABZA as a theranostic agent in patients with metastatic melanoma [124]. Despite these advances, researchers have yet to progress nicotinamide targeting agents to clinical translation for the molecular targeted melanoma PET-CT imaging.

12. MEK Targeting

MEK PET imaging can be used specifically for melanoma given that MEK is directly downstream of BRAF, which is constitutively activated in melanoma in more than 50% of cases. It can be used for imaging both primary and metastatic disease and to assess tumor heterogeneity and dose-targeted radiotherapy accordingly. Mitogen-activated protein kinase (MAPK) kinase (MEK) is an enzyme that phosphorylates MAPK as part of the cell proliferation pathway and is directly downstream of BRAF [126]. It was first identified as a key pathway in melanoma through the demonstration that the temporal activation of MEK results in transient activation of ERK, initiating signal transduction and subsequently resulting in activation of downstream modulators of cell proliferation, differentiation, survival, adhesion, angiogenesis, and cell motility [127,128]. This led scientists to target this pathway as an anti-cancer strategy in melanoma. Trametinib was the first FDA approved MEK inhibitor. This novel anticancer therapy serves as an inhibitor of MEK1 and MEK2, leading to reduced cell proliferation [129]. Though efficacious, trametinib can have severe side effects, including diarrhea, heart failure, alterations of blood glucose levels, and fever [130], making accurate dosing a key strategy to balance the risk–benefit ratio. Trametinib is also known to cause skin toxicities, most commonly on the face, chest, and back due to the sebaceous glands found preferentially in these areas [131].

Researchers sought to develop radiolabeled trametinib in order to risk-stratify patients into those who would benefit most from treatment with this therapy, similar to what has been done in other cancers and with other theranostics. ¹²⁴I-trametinib PET imaging was evaluated to monitor MEK1/MEK2 levels in a panel of cancer cell lines and in a murine B16F10 model of melanoma [124]. The study demonstrated that ¹²⁴I-trametinib was taken up at higher rates in BRAF and KRAS mutant cancers compared to wild type and that peak tumor concentrations in the tumor occurred at approximately 24–48 hours, compared to peak uptake in the skin and gastrointestinal tract which occurred between 6 and 24 hours. This led researchers to conclude that ¹²⁴I-trametinib PET imaging had potential for clinical translation to personalize trametinib dosing in melanoma [132]. While initial results were promising, more studies of ¹²⁴I-trametinib PET imaging are needed before approval for widespread clinical use.

13. Integrin αvβ3 Targeting

Integrin is a transmembrane receptor expressed on angiographic endothelial cells, which are players in the neovascularization process. αvβ3 integrin PET and SPECT imaging can be used for multiple tumor types given that it visualizes neovasculation beds surrounding and infiltrating tumors. Beyond tumor uptake, the highest uptake is evident in the urogenital tract, liver, spleen, and gut. ¹⁸F-galacto-RGD is a safe and effective tool for αvβ3 imaging in humans.

Integrin αvβ3 is a transmembrane receptor comprised of α and β subunits which is abundantly expressed on angiogenic mammalian endothelial cells [133]. αvβ3 integrin plays a significant role in neovascularization surrounding a growing tumor and initiates cell signaling cascades leading to cell migration and proliferation [134]. Specific to melanoma, αvβ3 integrin signaling promotes the transition from radial to vertical growth, resulting in penetration of the basement membrane, a critical threshold in progression to metastatic disease [135]. Due to the abundant expression of αvβ3 integrin in tumors, αvβ3 integrin-based PET imaging agents have been developed for melanoma imaging.

Tumor-induced angiogenesis can be disrupted by peptides containing the arginine-glycine-aspartic (RGD) amino acid sequence. Researchers initially discovered that the extracellular matrix protein fibronectin mediates cell attachment and demonstrated that the RGD on certain matrix proteins, mainly the fibronectin sequence, acts as a ligand for αvβ3 integrin [136]. The cell attachment activity of fibronectin can be mimicked with cyclical synthetic peptides containing the RGD sequence. Research has demonstrated that bioengineered peptides take advantage of the selective expression of αvβ3 for imaging and the delivery of therapeutic agents at neovascularization sites. The selective expression of αvβ3 shows accumulated RGD-targeted nanoparticles in angiogenic vascular beds and minimal accumulation in peripheral beds [137]. This selective expression allows for targeting of tumors while sparing healthy tissue.

Multiple radiolabeled cyclic RGD peptides have been developed and tested for imaging integrin αvβ3-positive tumors using both PET and SPECT in both preclinical and clinical investigations. One of the most widely used αvβ3 PET tracers is ¹⁸F-Galacto-RGD. ¹⁸F-Galacto-RGD is composed of the arginine-glycine-aspartic amino acid sequence conjugated with galactose and radiolabeled with ¹⁸F [138,139,140]. Given that αvβ3 fundamentally reflects pro-angiogenic signaling, αvβ3-PET imaging reflects the degree of angiogenesis associated with the tumor. In light of the great potential of αvβ3-PET imaging, groups sought to modify the RGD compound to optimize imaging characteristics. Research demonstrated excellent in vivo pharmacokinetics using ¹⁸F labeling of GD-containing glycopeptide cyclo(Arg-Gly-Asp-D-Phe-Lys) with 4-nitrophenyl 2 ¹⁸F-fluoropropionate, leading authors to conclude that the favorable excretion kinetics and low radiation dose made the compound well-suited for translation for clinical use [141]. In addition to oncological imaging, groups have explored potential non-oncological indications, including the successful use of ¹⁸F-Galacto-RGD for vascular inflammation imaging in mice with atherosclerosis [142]. Additional modifications have also been developed to better optimize αvβ3-PET imaging using an RGD analogue. A group synthesized and developed ¹⁸F-FPyPEGCBT-c(RGDfK) [143,144] using a streamlined radiochemical synthesis approach. Preclinical studies in murine models of glioma and ovarian cancer using ¹⁸F-FPyPEGCBT-c(RGDfK) PET-CT demonstrated uptake within tumors, suggesting its potential as a PET tracer in melanoma [144]. Further optimization may improve its imaging properties, thereby resulting in widespread clinical use.

¹⁸F-Galacto-RGD was the first RGD PET tracer tested on humans. A translational study by the group who developed ¹⁸F-Galacto-RGD evaluated the tumor imaging potential of the radiotracer and found that it allowed for non-invasive αvβ3 imaging in cancer patients [145]. Subsequent studies went on to demonstrate its role in cancer imaging, including in metastatic melanoma. Nineteen patients were administered an injection of 133–200 MBq ¹⁸F-Galacto-RGD followed by three consecutive PET-CT images. Time-activity curves and standardized uptake values (SUVs) were determined and compartmental modeling was used to evaluate the tumor-to-background activity. These data demonstrated a favorable biodistribution in humans and specific receptor binding, as corroborated by immunohistochemistry [146]. Together, these preclinical and clinical studies demonstrate that αvβ3 imaging has significant potential for tumor imaging, which could give rich information on angiogenesis, and that ¹⁸F-Galacto-RGD is an excellent αvβ3-PET imaging agent. αvβ3-PET imaging agent development is ongoing [147,148].

14. Conclusions

Melanoma is a deadly cancer with high metastatic potential. Accurate staging at initial diagnosis and monitoring for new or progressive disease are essential to guide management decisions. Metastatic disease below the resolution of traditional diagnostic imaging modalities presents a significant clinical challenge. Advances in molecular targeting and radiochemistry have allowed for the development of new targeted PET imaging agents for melanoma that may provide information on disease progression, response to therapy, tumor heterogeneity, and extent of disease below the resolution of CT imaging, thus changing the landscape of how the disease is imaged and treated. Here, we detail the preclinical and clinical development of some of the most promising agents. While FDG-PET has been used traditionally, FAP-PET imaging is an exciting new agent being used for many types of tumors including melanoma with the advantage of excellent visualization of tumors that have not traditionally exhibited high FDG activity. However, this agent is not specific to melanoma and PET uptake is therefore inherently non-specific. Melanin-targeting agents have the advantage of being specific to melanoma and could therefore be used in cases where there is a lack of diagnostic clarity regarding the origin of a new lesion. An inherent limitation of these agents is that they are dependent on the melanin content of lesions, which may be variable over time and heterogenous among lesions within the same patient. Other melanoma-specific agents have similar limitations, and differences in the ease of synthesis and availability may determine which emerge as the most clinically relevant. Further studies may establish one or more of these agents as the standard of care for melanoma imaging. Regardless of the agent, a future with better imaging and thus more accurate staging and appropriate treatment of melanoma offers the promise of better disease control and improved outcomes for patients.

Author Contributions

L.V.—conceptualization, writing, editing; D.d.J.—writing, editing; L.D.—conceptualization, writing, editing; B.H.—writing, editing; B.B. (Brian Braumuller)—writing, editing; J.P.D.—writing, editing; A.D.—writing, editing; A.M.-P.—writing, editing; C.A.—writing, editing; R.Y.—Conceptualization; P.M.—Conceptualization; B.B. (Barouyr Baroudjian)—Conceptualization, editing; M.M.S.—Conceptualization; K.M.C.—conceptualization, writing, editing. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

Mary M. Salvatore has received grant funding from Boehringer Ingelheim and Genentech and has been a speaker for Boehringer Ingelheim and Genentech.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figure

Figure 1. Summarizes targets of positron emission tomography (PET) imaging agents that are in various stages of development as discussed below. Some agents are melanoma-specific while others can be used in many cancer types.

References

1. Glazer, A.M.; Winkelmann, R.R.; Farberg, A.S.; Rigel, D.S. Analysis of Trends in US Melanoma Incidence and Mortality. JAMA Dermatol.; 2017; 153, pp. 225-226. [DOI: https://dx.doi.org/10.1001/jamadermatol.2016.4512]

2. Barth, A.; Wanek, L.A.; Morton, D.L. Prognostic factors in 1521 melanoma patients with distant metastases. J. Am. Coll. Surg.; 1995; 181, pp. 193-201.

3. Dummer, R.; Hauschild, A.; Lindenblatt, N.; Pentheroudakis, G.; Keilholz, U.; Committee, E.G. Cutaneous melanoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol.; 2015; 26, (Suppl. S5), pp. v126-v132. [DOI: https://dx.doi.org/10.1093/annonc/mdv297]

4. Wilson, M.A.; Schuchter, L.M. Chemotherapy for Melanoma. Cancer Treat Res.; 2016; 167, pp. 209-229. [DOI: https://dx.doi.org/10.1007/978-3-319-22539-5_8]

5. Luce, J.K.; Thurman, W.G.; Isaacs, B.L.; Talley, R.W. Clinical trials with the antitumor agent 5-(3,3-dimethyl-1-triazeno)imidazole-4-carboxamide(NSC-45388). Cancer Chemother. Rep.; 1970; 54, pp. 119-124.

6. Nathanson, L.; Wolter, J.; Horton, J.; Colsky, J.; Shnider, B.I.; Schilling, A. Characteristics of prognosis and response to an imidazole carboxamide in malignant melanoma. Clin. Pharmacol. Ther.; 1971; 12, pp. 955-962. [DOI: https://dx.doi.org/10.1002/cpt1971126955]

7. Costanza, M.E.; Nathanson, L.; Lenhard, R.; Wolter, J.; Colsky, J.; Oberfield, R.A.; Schilling, A. Therapy of malignant melanoma with an imidazole carboxamide and bis-chloroethyl nitrosourea. Cancer; 1972; 30, pp. 1457-1461. [DOI: https://dx.doi.org/10.1002/1097-0142(197212)30:6<1457::AID-CNCR2820300607>3.0.CO;2-5]

8. Eggermont, A.M.; Kirkwood, J.M. Re-evaluating the role of dacarbazine in metastatic melanoma: What have we learned in 30 years?. Eur. J. Cancer; 2004; 40, pp. 1825-1836. [DOI: https://dx.doi.org/10.1016/j.ejca.2004.04.030]

9. Mohr, P.; Eggermont, A.M.; Hauschild, A.; Buzaid, A. Staging of cutaneous melanoma. Ann. Oncol.; 2009; 20, (Suppl. S6), pp. vi14-vi21. [DOI: https://dx.doi.org/10.1093/annonc/mdp256] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19617293]

10. Holder, W.D., Jr.; White, R.L., Jr.; Zuger, J.H.; Easton, E.J., Jr.; Greene, F.L. Effectiveness of positron emission tomography for the detection of melanoma metastases. Ann. Surg.; 1998; 227, pp. 764-769. [DOI: https://dx.doi.org/10.1097/00000658-199805000-00017] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/9605668]

11. Cancer Genome Atlas Network. Genomic Classification of Cutaneous Melanoma. Cell; 2015; 161, pp. 1681-1696. [DOI: https://dx.doi.org/10.1016/j.cell.2015.05.044] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26091043]

12. Klein, O.; Clements, A.; Menzies, A.M.; O’Toole, S.; Kefford, R.F.; Long, G.V. BRAF inhibitor activity in V600R metastatic melanoma. Eur. J. Cancer; 2013; 49, pp. 1073-1079. [DOI: https://dx.doi.org/10.1016/j.ejca.2012.11.004] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23237741]

13. Mackiewicz, J.; Mackiewicz, A. BRAF and MEK inhibitors in the era of immunotherapy in melanoma patients. Contemp. Oncol.; 2018; 22, pp. 68-72. [DOI: https://dx.doi.org/10.5114/wo.2018.73890] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29628797]

14. Chapman, P.B.; Hauschild, A.; Robert, C.; Haanen, J.B.; Ascierto, P.; Larkin, J.; Dummer, R.; Garbe, C.; Testori, A.; Maio, M. et al. Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N. Engl. J. Med.; 2011; 364, pp. 2507-2516. [DOI: https://dx.doi.org/10.1056/NEJMoa1103782] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21639808]

15. Flaherty, K.T.; Robert, C.; Hersey, P.; Nathan, P.; Garbe, C.; Milhem, M.; Demidov, L.V.; Hassel, J.C.; Rutkowski, P.; Mohr, P. et al. Improved Survival with MEK Inhibition in BRAF-Mutated Melanoma. N. Engl. J. Med.; 2012; 367, pp. 107-114. [DOI: https://dx.doi.org/10.1056/NEJMoa1203421]

16. Eroglu, Z.; Ribas, A. Combination therapy with BRAF and MEK inhibitors for melanoma: Latest evidence and place in therapy. Ther. Adv. Med. Oncol.; 2016; 8, pp. 48-56. [DOI: https://dx.doi.org/10.1177/1758834015616934]

17. Hodi, F.S.; O’Day, S.J.; McDermott, D.F.; Weber, R.W.; Sosman, J.A.; Haanen, J.B.; Gonzalez, R.; Robert, C.; Schadendorf, D.; Hassel, J.C. et al. Improved survival with ipilimumab in patients with metastatic melanoma. N. Engl. J. Med.; 2010; 363, pp. 711-723. [DOI: https://dx.doi.org/10.1056/NEJMoa1003466]

18. Schadendorf, D.; Hodi, F.S.; Robert, C.; Weber, J.S.; Margolin, K.; Hamid, O.; Patt, D.; Chen, T.-T.; Berman, D.M.; Wolchok, J.D. Pooled Analysis of Long-Term Survival Data From Phase II and Phase III Trials of Ipilimumab in Unresectable or Metastatic Melanoma. J. Clin. Oncol.; 2015; 33, pp. 1889-1894. [DOI: https://dx.doi.org/10.1200/JCO.2014.56.2736]

19. Robert, C.; Schachter, J.; Long, G.V.; Arance, A.; Grob, J.J.; Mortier, L.; Daud, A.; Carlino, M.S.; McNeil, C.; Lotem, M. et al. Pembrolizumab versus Ipilimumab in Advanced Melanoma. N. Engl. J. Med.; 2015; 372, pp. 2521-2532. [DOI: https://dx.doi.org/10.1056/NEJMoa1503093]

20. Wolchok, J.D.; Chiarion-Sileni, V.; Gonzalez, R.; Rutkowski, P.; Grob, J.J.; Cowey, C.L.; Lao, C.D.; Wagstaff, J.; Schadendorf, D.; Ferrucci, P.F. et al. Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma. N. Engl. J. Med.; 2017; 377, pp. 1345-1356. [DOI: https://dx.doi.org/10.1056/NEJMoa1709684]

21. Force, J.; Salama, A.K. First-line treatment of metastatic melanoma: Role of nivolumab. Immunotargets Ther.; 2017; 6, pp. 1-10. [DOI: https://dx.doi.org/10.2147/ITT.S110479] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28243579]

22. Coit, D.G.; Thompson, J.A.; Albertini, M.R.; Barker, C.; Carson, W.E.; Contreras, C.; Daniels, G.A.; DiMaio, D.; Fields, R.C.; Fleming, M.D. et al. Cutaneous Melanoma, Version 2.2019, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Canc. Netw.; 2019; 17, pp. 367-402. [DOI: https://dx.doi.org/10.6004/jnccn.2019.0018]

23. Garbe, C.; Amaral, T.; Peris, K.; Hauschild, A.; Arenberger, P.; Bastholt, L.; Bataille, V.; Del Marmol, V.; Dreno, B.; Fargnoli, M.C. et al. European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment—Update 2019. Eur. J. Cancer; 2020; 126, pp. 159-177. [DOI: https://dx.doi.org/10.1016/j.ejca.2019.11.015] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31866016]

24. Eggermont, A.M.M.; Blank, C.U.; Mandala, M.; Long, G.V.; Atkinson, V.; Dalle, S.; Haydon, A.; Lichinitser, M.; Khattak, A.; Carlino, M.S. et al. Adjuvant Pembrolizumab versus Placebo in Resected Stage III Melanoma. N. Engl. J. Med.; 2018; 378, pp. 1789-1801. [DOI: https://dx.doi.org/10.1056/NEJMoa1802357] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29658430]

25. Eggermont, A.M.; Spatz, A.; Robert, C. Cutaneous melanoma. Lancet; 2014; 383, pp. 816-827. [DOI: https://dx.doi.org/10.1016/S0140-6736(13)60802-8]

26. Morton, D.L.; Thompson, J.F.; Cochran, A.J.; Mozzillo, N.; Nieweg, O.E.; Roses, D.F.; Hoekstra, H.J.; Karakousis, C.P.; Puleo, C.A.; Coventry, B.J. et al. Final trial report of sentinel-node biopsy versus nodal observation in melanoma. N. Engl. J. Med.; 2014; 370, pp. 599-609. [DOI: https://dx.doi.org/10.1056/NEJMoa1310460]

27. Alkureishi, L.W.; Ross, G.L.; Shoaib, T.; Soutar, D.S.; Robertson, A.G.; Thompson, R.; Hunter, K.D.; Sorensen, J.A.; Thomsen, J.; Krogdahl, A. et al. Sentinel node biopsy in head and neck squamous cell cancer: 5-year follow-up of a European multicenter trial. Ann. Surg. Oncol.; 2010; 17, pp. 2459-2464. [DOI: https://dx.doi.org/10.1245/s10434-010-1111-3]

28. Agrawal, A.; Civantos, F.J.; Brumund, K.T.; Chepeha, D.B.; Hall, N.C.; Carroll, W.R.; Smith, R.B.; Zitsch, R.P.; Lee, W.T.; Shnayder, Y. et al. [(99m)Tc]Tilmanocept Accurately Detects Sentinel Lymph Nodes and Predicts Node Pathology Status in Patients with Oral Squamous Cell Carcinoma of the Head and Neck: Results of a Phase III Multi-institutional Trial. Ann. Surg. Oncol.; 2015; 22, pp. 3708-3715. [DOI: https://dx.doi.org/10.1245/s10434-015-4382-x]

29. Moya-Plana, A.; Auperin, A.; Obongo, R.; Baglin, A.; Ferrand, F.R.; Baujat, B.; Saroul, N.; Casiraghi, O.; Vergez, S.; Herman, P. et al. Oncologic outcomes, prognostic factor analysis and therapeutic algorithm evaluation of head and neck mucosal melanomas in France. Eur. J. Cancer; 2019; 123, pp. 1-10. [DOI: https://dx.doi.org/10.1016/j.ejca.2019.09.007]

30. Heppt, M.V.; Roesch, A.; Weide, B.; Gutzmer, R.; Meier, F.; Loquai, C.; Kähler, K.C.; Gesierich, A.; Meissner, M.; von Bubnoff, D. et al. Prognostic factors and treatment outcomes in 444 patients with mucosal melanoma. Eur. J. Cancer; 2017; 81, pp. 36-44. [DOI: https://dx.doi.org/10.1016/j.ejca.2017.05.014]

31. Lund, V.J.; Stammberger, H.; Nicolai, P.; Castelnuovo, P.; Beal, T.; Beham, A.; Bernal-Sprekelsen, M.; Braun, H.; Cappabianca, P.; Carrau, R. et al. European position paper on endoscopic management of tumours of the nose, paranasal sinuses and skull base. Rhinol. Suppl.; 2010; 22, pp. 1-143. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20502772]

32. Seban, R.D.; Moya-Plana, A.; Antonios, L.; Yeh, R.; Marabelle, A.; Deutsch, E.; Schwartz, L.H.; Gomez, R.G.H.; Saenger, Y.; Robert, C. et al. Prognostic 18F-FDG PET biomarkers in metastatic mucosal and cutaneous melanoma treated with immune checkpoint inhibitors targeting PD-1 and CTLA-4. Eur. J. Nucl. Med. Mol. Imaging; 2020; 47, pp. 2301-2312. [DOI: https://dx.doi.org/10.1007/s00259-020-04757-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32206839]

33. Reginelli, A.; Belfiore, M.P.; Russo, A.; Turriziani, F.; Moscarella, E.; Troiani, T.; Brancaccio, G.; Ronchi, A.; Giunta, E.; Sica, A. et al. A Preliminary Study for Quantitative Assessment with HFUS (High- Frequency Ultrasound) of Nodular Skin Melanoma Breslow Thickness in Adults Before Surgery: Interdisciplinary Team Experience. Curr. Radiopharm.; 2020; 13, pp. 48-55. [DOI: https://dx.doi.org/10.2174/1874471012666191007121626] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31589132]

34. Belfiore, M.P.; Reginelli, A.; Russo, A.; Russo, G.M.; Rocco, M.P.; Moscarella, E.; Ferrante, M.; Sica, A.; Grassi, R.; Cappabianca, S. Usefulness of High-Frequency Ultrasonography in the Diagnosis of Melanoma: Mini Review. Front. Oncol.; 2021; 11, 673026. [DOI: https://dx.doi.org/10.3389/fonc.2021.673026]

35. Tomatis, S.; Carrara, M.; Bono, A.; Bartoli, C.; Lualdi, M.; Tragni, G.; Colombo, A.; Marchesini, R. Automated melanoma detection with a novel multispectral imaging system: Results of a prospective study. Phys. Med. Biol.; 2005; 50, pp. 1675-1687. [DOI: https://dx.doi.org/10.1088/0031-9155/50/8/004]

36. Spanknebel, K.; Coit, D.G.; Bieligk, S.C.; Gonen, M.; Rosai, J.; Klimstra, D.S. Characterization of micrometastatic disease in melanoma sentinel lymph nodes by enhanced pathology: Recommendations for standardizing pathologic analysis. Am. J. Surg. Pathol.; 2005; 29, pp. 305-317. [DOI: https://dx.doi.org/10.1097/01.pas.0000152134.36030.b7]

37. Egger, M.E. The Role of Clinical Prediction Tools to Risk Stratify Patients with Melanoma After a Positive Sentinel Lymph Node Biopsy. Ann. Surg. Oncol.; 2021; 28, pp. 4082-4083. [DOI: https://dx.doi.org/10.1245/s10434-018-07099-5]

38. Morrison, S.; Han, D. Re-evaluation of Sentinel Lymph Node Biopsy for Melanoma. Curr. Treat Options Oncol.; 2021; 22, 22. [DOI: https://dx.doi.org/10.1007/s11864-021-00819-2]

39. Lo, M.; Robinson, A.; Wade, R.; Peach, H.; Dewar, D.; Heaton, M.; Moncrieff, M. Extracapsular Spread in Melanoma Lymphadenopathy: Prognostic Implications, Classification, and Management. Ann. Surg. Oncol.; 2021; 28, pp. 1642-1653. [DOI: https://dx.doi.org/10.1245/s10434-020-09099-w]

40. Ossowski, L.; Aguirre-Ghiso, J.A. Dormancy of metastatic melanoma. Pigment. Cell Melanoma. Res.; 2010; 23, pp. 41-56. [DOI: https://dx.doi.org/10.1111/j.1755-148X.2009.00647.x]

41. Nijhuis, A.A.G.; Dieng, M.; Khanna, N.; Lord, S.J.; Dalton, J.; Menzies, A.M.; Turner, R.M.; Allen, J.; Saw, R.P.M.; Nieweg, O.E. et al. False-Positive Results and Incidental Findings with Annual CT or PET/CT Surveillance in Asymptomatic Patients with Resected Stage III Melanoma. Ann. Surg. Oncol.; 2019; 26, pp. 1860-1868. [DOI: https://dx.doi.org/10.1245/s10434-019-07311-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30911946]

42. Aide, N.; Iravani, A.; Prigent, K.; Kottler, D.; Alipour, R.; Hicks, R.J. PET/CT variants and pitfalls in malignant melanoma. Cancer Imaging; 2022; 22, 3. [DOI: https://dx.doi.org/10.1186/s40644-021-00440-4] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34983677]

43. Jimenez-Requena, F.; Delgado-Bolton, R.C.; Fernandez-Perez, C.; Gambhir, S.S.; Schwimmer, J.; Perez-Vazquez, J.M.; Carreras-Delgado, J.L. Meta-analysis of the performance of (18)F-FDG PET in cutaneous melanoma. Eur. J. Nucl. Med. Mol. Imaging; 2010; 37, pp. 284-300. [DOI: https://dx.doi.org/10.1007/s00259-009-1224-8]

44. Mekki, A.; Dercle, L.; Lichtenstein, P.; Marabelle, A.; Michot, J.M.; Lambotte, O.; Le Pavec, J.; De Martin, E.; Balleyguier, C.; Champiat, S. et al. Detection of immune-related adverse events by medical imaging in patients treated with anti-programmed cell death 1. Eur. J. Cancer; 2018; 96, pp. 91-104. [DOI: https://dx.doi.org/10.1016/j.ejca.2018.03.006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29698933]

45. Dercle, L.; Mokrane, F.Z.; Schiano de Colella, J.M.; Stamatoullas, A.; Morschhauser, F.; Brice, P.; Ghesquieres, H.; Casasnovas, O.; Chen, A.; Manson, G. et al. Unconventional immune-related phenomena observed using 18F-FDG PET/CT in Hodgkin lymphoma treated with anti PD-1 monoclonal antibodies. Eur. J. Nucl. Med. Mol. Imaging; 2019; 46, pp. 1391-1392. [DOI: https://dx.doi.org/10.1007/s00259-019-04310-x]

46. Seban, R.D.; Nemer, J.S.; Marabelle, A.; Yeh, R.; Deutsch, E.; Ammari, S.; Moya-Plana, A.; Mokrane, F.Z.; Gartrell, R.D.; Finkel, G. et al. Prognostic and theranostic 18F-FDG PET biomarkers for anti-PD1 immunotherapy in metastatic melanoma: Association with outcome and transcriptomics. Eur. J. Nucl. Med. Mol. Imaging; 2019; 46, pp. 2298-2310. [DOI: https://dx.doi.org/10.1007/s00259-019-04411-7]

47. Seban, R.D.; Synn, S.; Muneer, I.; Champion, L.; Schwartz, L.H.; Dercle, L. Spleen Glucose Metabolism on [18F]-FDG PET/CT for Cancer Drug Discovery and Development cannot be Overlooked. Curr. Cancer Drug Targets; 2021; 21, pp. 944-952. [DOI: https://dx.doi.org/10.2174/1568009621666210720143826]

48. Prigent, K.; Lasnon, C.; Ezine, E.; Janson, M.; Coudrais, N.; Joly, E.; Cesaire, L.; Stefan, A.; Depontville, M.; Aide, N. Assessing immune organs on (18)F-FDG PET/CT imaging for therapy monitoring of immune checkpoint inhibitors: Inter-observer variability, prognostic value and evolution during the treatment course of melanoma patients. Eur. J. Nucl. Med. Mol. Imaging; 2021; 48, pp. 2573-2585. [DOI: https://dx.doi.org/10.1007/s00259-020-05103-3]

49. Lopci, E. Immunotherapy Monitoring with Immune Checkpoint Inhibitors Based on [(18)F]FDG PET/CT in Metastatic Melanomas and Lung Cancer. J. Clin. Med.; 2021; 10, 5160. [DOI: https://dx.doi.org/10.3390/jcm10215160]

50. Rossi, S.; Toschi, L.; Castello, A.; Grizzi, F.; Mansi, L.; Lopci, E. Clinical characteristics of patient selection and imaging predictors of outcome in solid tumors treated with checkpoint-inhibitors. Eur. J. Nucl. Med. Mol. Imaging; 2017; 44, pp. 2310-2325. [DOI: https://dx.doi.org/10.1007/s00259-017-3802-5]

51. Chen, A.; Mokrane, F.Z.; Schwartz, L.H.; Morschhauser, F.; Stamatoullas, A.; Schiano de Colella, J.M.; Vercellino, L.; Casasnovas, O.; Chauchet, A.; Delmer, A. et al. Early (18)F-FDG PET/CT Response Predicts Survival in Relapsed or Refractory Hodgkin Lymphoma Treated with Nivolumab. J. Nucl. Med.; 2020; 61, pp. 649-654. [DOI: https://dx.doi.org/10.2967/jnumed.119.232827] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31628220]

52. Dercle, L.; Ammari, S.; Seban, R.D.; Schwartz, L.H.; Houot, R.; Labaied, N.; Mokrane, F.Z.; Lazarovici, J.; Danu, A.; Marabelle, A. et al. Kinetics and nadir of responses to immune checkpoint blockade by anti-PD1 in patients with classical Hodgkin lymphoma. Eur. J. Cancer; 2018; 91, pp. 136-144. [DOI: https://dx.doi.org/10.1016/j.ejca.2017.12.015] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29360605]

53. Dercle, L.; Seban, R.D.; Lazarovici, J.; Schwartz, L.H.; Houot, R.; Ammari, S.; Danu, A.; Edeline, V.; Marabelle, A.; Ribrag, V. et al. (18)F-FDG PET and CT Scans Detect New Imaging Patterns of Response and Progression in Patients with Hodgkin Lymphoma Treated by Anti-Programmed Death 1 Immune Checkpoint Inhibitor. J. Nucl. Med.; 2018; 59, pp. 15-24. [DOI: https://dx.doi.org/10.2967/jnumed.117.193011] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28596157]

54. Vercellino, L.; de Jong, D.; di Blasi, R.; Kanoun, S.; Reshef, R.; Schwartz, L.H.; Dercle, L. Current and Future Role of Medical Imaging in Guiding the Management of Patients with Relapsed and Refractory Non-Hodgkin Lymphoma Treated with CAR T-Cell Therapy. Front. Oncol.; 2021; 11, 664688. [DOI: https://dx.doi.org/10.3389/fonc.2021.664688]

55. Ilie, M.; Long-Mira, E.; Bence, C.; Butori, C.; Lassalle, S.; Bouhlel, L.; Fazzalari, L.; Zahaf, K.; Lalvee, S.; Washetine, K. et al. Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: A potential issue for anti-PD-L1 therapeutic strategies. Ann. Oncol.; 2016; 27, pp. 147-153. [DOI: https://dx.doi.org/10.1093/annonc/mdv489]

56. Truillet, C.; Oh, H.L.J.; Yeo, S.P.; Lee, C.Y.; Huynh, L.T.; Wei, J.; Parker, M.F.L.; Blakely, C.; Sevillano, N.; Wang, Y.H. et al. Imaging PD-L1 Expression with ImmunoPET. Bioconjug. Chem.; 2018; 29, pp. 96-103. [DOI: https://dx.doi.org/10.1021/acs.bioconjchem.7b00631]

57. Christensen, C.; Kristensen, L.K.; Alfsen, M.Z.; Nielsen, C.H.; Kjaer, A. Quantitative PET imaging of PD-L1 expression in xenograft and syngeneic tumour models using a site-specifically labelled PD-L1 antibody. Eur. J. Nucl. Med. Mol. Imaging; 2020; 47, pp. 1302-1313. [DOI: https://dx.doi.org/10.1007/s00259-019-04646-4]

58. Bridgwater, C.; Geller, A.; Hu, X.; Burlison, J.A.; Zhang, H.G.; Yan, J.; Guo, H. (89)Zr-Labeled Anti-PD-L1 Antibody Fragment for Evaluating In Vivo PD-L1 Levels in Melanoma Mouse Model. Cancer Biother. Radiopharm.; 2020; 35, pp. 549-557. [DOI: https://dx.doi.org/10.1089/cbr.2019.3056]

59. Lesniak, W.G.; Chatterjee, S.; Gabrielson, M.; Lisok, A.; Wharram, B.; Pomper, M.G.; Nimmagadda, S. PD-L1 Detection in Tumors Using [(64)Cu]Atezolizumab with PET. Bioconjug. Chem.; 2016; 27, pp. 2103-2110. [DOI: https://dx.doi.org/10.1021/acs.bioconjchem.6b00348]

60. Stutvoet, T.S.; van der Veen, E.L.; Kol, A.; Antunes, I.F.; de Vries, E.F.J.; Hospers, G.A.P.; de Vries, E.G.E.; de Jong, S.; Lub-de Hooge, M.N. Molecular Imaging of PD-L1 Expression and Dynamics with the Adnectin-Based PET Tracer (18)F-BMS-986192. J. Nucl. Med.; 2020; 61, pp. 1839-1844. [DOI: https://dx.doi.org/10.2967/jnumed.119.241364]

61. Lindner, T.; Loktev, A.; Altmann, A.; Giesel, F.; Kratochwil, C.; Debus, J.; Jäger, D.; Mier, W.; Haberkorn, U. Development of Quinoline-Based Theranostic Ligands for the Targeting of Fibroblast Activation Protein. J. Nucl. Med.; 2018; 59, pp. 1415-1422. [DOI: https://dx.doi.org/10.2967/jnumed.118.210443]

62. Bensch, F.; van der Veen, E.L.; Lub-de Hooge, M.N.; Jorritsma-Smit, A.; Boellaard, R.; Kok, I.C.; Oosting, S.F.; Schroder, C.P.; Hiltermann, T.J.N.; van der Wekken, A.J. et al. (89)Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat. Med.; 2018; 24, pp. 1852-1858. [DOI: https://dx.doi.org/10.1038/s41591-018-0255-8]

63. Niemeijer, A.N.; Leung, D.; Huisman, M.C.; Bahce, I.; Hoekstra, O.S.; van Dongen, G.; Boellaard, R.; Du, S.; Hayes, W.; Smith, R. et al. Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer. Nat. Commun.; 2018; 9, 4664. [DOI: https://dx.doi.org/10.1038/s41467-018-07131-y]

64. Wang, S.; Zhu, H.; Ding, J.; Wang, F.; Meng, X.; Ding, L.; Zhang, Y.; Li, N.; Yao, S.; Sheng, X. et al. Positron Emission Tomography Imaging of Programmed Death 1 Expression in Cancer Patients Using 124I-Labeled Toripalimab: A Pilot Clinical Translation Study. Clin. Nucl. Med.; 2021; 46, pp. 382-388. [DOI: https://dx.doi.org/10.1097/RLU.0000000000003520]

65. Zhou, X.; Jiang, J.; Yang, X.; Liu, T.; Ding, J.; Nimmagadda, S.; Pomper, M.G.; Zhu, H.; Zhao, J.; Yang, Z.P. et al. First-in-human evaluation of a PD-L1-binding peptide radiotracer in non-small cell lung cancer patients with PET. J. Nucl. Med.; 2021; 63, pp. 536-542. [DOI: https://dx.doi.org/10.2967/jnumed.121.262045]

66. Leung, D.; Bonacorsi, S.; Smith, R.A.; Weber, W.; Hayes, W. Molecular Imaging and the PD-L1 Pathway: From Bench to Clinic. Front. Oncol.; 2021; 11, 698425. [DOI: https://dx.doi.org/10.3389/fonc.2021.698425]

67. Park, J.E.; Lenter, M.C.; Zimmermann, R.N.; Garin-Chesa, P.; Old, L.J.; Rettig, W.J. Fibroblast activation protein, a dual specificity serine protease expressed in reactive human tumor stromal fibroblasts. J. Biol. Chem.; 1999; 274, pp. 36505-36512. [DOI: https://dx.doi.org/10.1074/jbc.274.51.36505]

68. Huber, M.A.; Kraut, N.; Park, J.E.; Schubert, R.D.; Rettig, W.J.; Peter, R.U.; Garin-Chesa, P. Fibroblast activation protein: Differential expression and serine protease activity in reactive stromal fibroblasts of melanocytic skin tumors. J. Investig. Dermatol.; 2003; 120, pp. 182-188. [DOI: https://dx.doi.org/10.1046/j.1523-1747.2003.12035.x]

69. Kakarla, S.; Song, X.T.; Gottschalk, S. Cancer-associated fibroblasts as targets for immunotherapy. Immunotherapy; 2012; 4, pp. 1129-1138. [DOI: https://dx.doi.org/10.2217/imt.12.112]

70. Liu, Q.; Jiang, L.; Li, K.; Li, H.; Lv, G.; Lin, J.; Qiu, L. Immuno-PET imaging of (68)Ga-labeled nanobody Nb109 for dynamic monitoring the PD-L1 expression in cancers. Cancer Immunol. Immunother.; 2021; 70, pp. 1721-1733. [DOI: https://dx.doi.org/10.1007/s00262-020-02818-y]

71. Kratochwil, C.; Flechsig, P.; Lindner, T.; Abderrahim, L.; Altmann, A.; Mier, W.; Adeberg, S.; Rathke, H.; Rohrich, M.; Winter, H. et al. (68)Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer. J. Nucl. Med.; 2019; 60, pp. 801-805. [DOI: https://dx.doi.org/10.2967/jnumed.119.227967]

72. Dendl, K.; Finck, R.; Giesel, F.L.; Kratochwil, C.; Lindner, T.; Mier, W.; Cardinale, J.; Kesch, C.; Röhrich, M.; Rathke, H. et al. FAP imaging in rare cancer entities-first clinical experience in a broad spectrum of malignancies. Eur. J. Nucl. Med. Mol. Imaging; 2021; [DOI: https://dx.doi.org/10.1007/s00259-021-05488-9]

73. Hu, K.; Wang, L.; Wu, H.; Huang, S.; Tian, Y.; Wang, Q.; Xiao, C.; Han, Y.; Tang, G. [18F]FAPI-42 PET imaging in cancer patients: Optimal acquisition time, biodistribution, and comparison with [68Ga]Ga-FAPI-04. Eur. J. Nucl. Med. Mol. Imaging; 2021; [DOI: https://dx.doi.org/10.1007/s00259-021-05646-z]

74. Jin, X.; Wei, M.; Wang, S.; Wang, G.; Lai, Y.; Shi, Y.; Zhang, Y.; Yang, Z.; Wang, X. Detecting Fibroblast Activation Proteins in Lymphoma Using ⁶⁸Ga-FAPI PET/CT. J. Nucl. Med.; 2022; 63, pp. 212-217. [DOI: https://dx.doi.org/10.2967/jnumed.121.262134]

75. Slania, S.L.; Das, D.; Lisok, A.; Du, Y.; Jiang, Z.; Mease, R.C.; Rowe, S.P.; Nimmagadda, S.; Yang, X.; Pomper, M.G. Imaging of Fibroblast Activation Protein in Cancer Xenografts Using Novel (4-Quinolinoyl)-glycyl-2-cyanopyrrolidine-Based Small Molecules. J. Med. Chem.; 2021; 64, pp. 4059-4070. [DOI: https://dx.doi.org/10.1021/acs.jmedchem.0c02171]

76. Jansen, K.; Heirbaut, L.; Verkerk, R.; Cheng, J.D.; Joossens, J.; Cos, P.; Maes, L.; Lambeir, A.M.; De Meester, I.; Augustyns, K. et al. Extended structure-activity relationship and pharmacokinetic investigation of (4-quinolinoyl)glycyl-2-cyanopyrrolidine inhibitors of fibroblast activation protein (FAP). J. Med. Chem.; 2014; 57, pp. 3053-3074. [DOI: https://dx.doi.org/10.1021/jm500031w]

77. Kwan, T.T.; Nguyen, M.; Zboralski, D.; Schumann, A.; Bredenbeck, A.; Paschke, M.; Haase, C.; Hoehne, A.; Reineke, U.; Smerling, C. et al. Pan-Cancer Analysis of Fibroblast Activation Protein Alpha (FAP) Expression to Guide Tumor Selection for the Peptide-Targeted Radionuclide Therapy FAP-2286. Proceedings of the Virtual Presentation 2021 AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; Virtual, 7–10 October 2021.

78. Clinicaltrials.gov. The Role of 68Ga-FAPI-04 PET/CT as a Problem Solving Imaging Modality in Various Malignancies. Available online: https://clinicaltrials.gov/ct2/show/NCT04441606 (accessed on 9 January 2021).

79. Clinicaltrials.gov. 68Ga-FAPI PET/CT in Patients with Various Types of Cancer. Available online: https://clinicaltrials.gov/ct2/show/NCT04499365 (accessed on 9 January 2021).

80. Najem, A.; Wouters, J.; Krayem, M.; Rambow, F.; Sabbah, M.; Sales, F.; Awada, A.; Aerts, S.; Journe, F.; Marine, J.C. et al. Tyrosine-Dependent Phenotype Switching Occurs Early in Many Primary Melanoma Cultures Limiting Their Translational Value. Front. Oncol.; 2021; 11, 780654. [DOI: https://dx.doi.org/10.3389/fonc.2021.780654]

81. Slominski, R.M.; Sarna, T.; Plonka, P.M.; Raman, C.; Brozyna, A.A.; Slominski, A.T. Melanoma, Melanin, and Melanogenesis: The Yin and Yang Relationship. Front. Oncol.; 2022; 12, 842496. [DOI: https://dx.doi.org/10.3389/fonc.2022.842496]

82. D’Mello, S.A.; Finlay, G.J.; Baguley, B.C.; Askarian-Amiri, M.E. Signaling Pathways in Melanogenesis. Int. J. Mol. Sci.; 2016; 17, 1144. [DOI: https://dx.doi.org/10.3390/ijms17071144]

83. Rzepka, Z.; Buszman, E.; Beberok, A.; Wrzesniok, D. From tyrosine to melanin: Signaling pathways and factors regulating melanogenesis. Postepy. Hig. Med. Dosw.; 2016; 70, pp. 695-708. [DOI: https://dx.doi.org/10.5604/17322693.1208033]

84. Goldgeier, M.H.; Klein, L.E.; Klein-Angerer, S.; Moellmann, G.; Nordlund, J.J. The distribution of melanocytes in the leptomeninges of the human brain. J. Investig. Dermatol.; 1984; 82, pp. 235-238. [DOI: https://dx.doi.org/10.1111/1523-1747.ep12260111] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/6699426]

85. Brozyna, A.A.; Jozwicki, W.; Carlson, J.A.; Slominski, A.T. Melanogenesis affects overall and disease-free survival in patients with stage III and IV melanoma. Hum. Pathol.; 2013; 44, pp. 2071-2074. [DOI: https://dx.doi.org/10.1016/j.humpath.2013.02.022] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23791398]

86. Brozyna, A.A.; Jozwicki, W.; Roszkowski, K.; Filipiak, J.; Slominski, A.T. Melanin content in melanoma metastases affects the outcome of radiotherapy. Oncotarget; 2016; 7, pp. 17844-17853. [DOI: https://dx.doi.org/10.18632/oncotarget.7528] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26910282]

87. Koch, S.E.; Lange, J.R. Amelanotic melanoma: The great masquerader. J. Am. Acad. Dermatol.; 2000; 42, Pt 1, pp. 731-734. [DOI: https://dx.doi.org/10.1067/mjd.2000.103981]

88. Rbah-Vidal, L.; Vidal, A.; Besse, S.; Cachin, F.; Bonnet, M.; Audin, L.; Askienazy, S.; Dolle, F.; Degoul, F.; Miot-Noirault, E. et al. Early detection and longitudinal monitoring of experimental primary and disseminated melanoma using [(1)(0)F]ICF01006, a highly promising melanoma PET tracer. Eur. J. Nucl. Med. Mol. Imaging; 2012; 39, pp. 1449-1461. [DOI: https://dx.doi.org/10.1007/s00259-012-2168-y]

89. Degoul, F.; Borel, M.; Jacquemot, N.; Besse, S.; Communal, Y.; Mishellany, F.; Papon, J.; Penault-Llorca, F.; Donnarieix, D.; Doly, M. et al. In vivo efficacy of melanoma internal radionuclide therapy with a 131I-labelled melanin-targeting heteroarylcarboxamide molecule. Int. J. Cancer; 2013; 133, pp. 1042-1053. [DOI: https://dx.doi.org/10.1002/ijc.28103]

90. Dadachova, E.; Casadevall, A. Melanin as a potential target for radionuclide therapy of metastatic melanoma. Future Oncol.; 2005; 1, pp. 541-549. [DOI: https://dx.doi.org/10.2217/14796694.1.4.541]

91. Feng, H.; Xia, X.; Li, C.; Song, Y.; Qin, C.; Liu, Q.; Zhang, Y.; Lan, X. Imaging malignant melanoma with (18)F-5-FPN. Eur. J. Nucl. Med. Mol. Imaging; 2016; 43, pp. 113-122. [DOI: https://dx.doi.org/10.1007/s00259-015-3134-2]

92. Ma, X.; Wang, S.; Wang, S.; Liu, D.; Zhao, X.; Chen, H.; Kang, F.; Yang, W.; Wang, J.; Cheng, Z. Biodistribution, Radiation Dosimetry, and Clinical Application of a Melanin-Targeted PET Probe, (18)F-P3BZA, in Patients. J. Nucl. Med.; 2019; 60, pp. 16-22. [DOI: https://dx.doi.org/10.2967/jnumed.118.209643]

93. Ma, X.; Cheng, Z. PET Imaging of Melanoma Using Melanin-Targeted Probe. Methods Mol. Biol.; 2021; 2265, pp. 407-416. [DOI: https://dx.doi.org/10.1007/978-1-0716-1205-7_29]

94. Wang, Y.; Li, M.; Zhang, Y.; Zhang, F.; Liu, C.; Song, Y.; Zhang, Y.; Lan, X. Detection of melanoma metastases with PET-Comparison of (18)F-5-FPN with (18)F-FDG. Nucl. Med. Biol.; 2017; 50, pp. 33-38. [DOI: https://dx.doi.org/10.1016/j.nucmedbio.2017.03.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28433794]

95. Pyo, A.; Kim, D.Y.; Kim, H.; Lim, D.; Kwon, S.Y.; Kang, S.R.; Kim, H.S.; Bom, H.S.; Min, J.J. Ultrasensitive detection of malignant melanoma using PET molecular imaging probes. Proc. Natl. Acad. Sci. USA; 2020; 117, pp. 12991-12999. [DOI: https://dx.doi.org/10.1073/pnas.1922313117] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32439710]

96. Denoyer, D.; Potdevin, T.; Roselt, P.; Neels, O.C.; Kirby, L.; Greguric, I.; Katsifis, A.; Dorow, D.S.; Hicks, R.J. Improved Detection of Regional Melanoma Metastasis Using ¹⁸F-6-Fluoro-N-[2-(Diethylamino)Ethyl] Pyridine-3-Carboxamide, a Melanin-Specific PET Probe, by Perilesional Administration. J. Nucl. Med.; 2011; 52, pp. 115-122. [DOI: https://dx.doi.org/10.2967/jnumed.110.078154]

97. Rizzo-Padoin, N.; Chaussard, M.; Vignal, N.; Kotula, E.; Tsoupko-Sitnikov, V.; Vaz, S.; Hontonnou, F.; Liu, W.Q.; Poyet, J.L.; Vidal, M. et al. [(18)F]MEL050 as a melanin-targeted PET tracer: Fully automated radiosynthesis and comparison to (18)F-FDG for the detection of pigmented melanoma in mice primary subcutaneous tumors and pulmonary metastases. Nucl. Med. Biol.; 2016; 43, pp. 773-780. [DOI: https://dx.doi.org/10.1016/j.nucmedbio.2016.08.010]

98. Denoyer, D.; Greguric, I.; Roselt, P.; Neels, O.C.; Aide, N.; Taylor, S.R.; Katsifis, A.; Dorow, D.S.; Hicks, R.J. High-contrast PET of melanoma using (18)F-MEL050, a selective probe for melanin with predominantly renal clearance. J. Nucl. Med.; 2010; 51, pp. 441-447. [DOI: https://dx.doi.org/10.2967/jnumed.109.070060]

99. Garg, S.; Kothari, K.; Thopate, S.R.; Doke, A.K.; Garg, P.K. Design, synthesis, and preliminary in vitro and in vivo evaluation of N-(2-diethylaminoethyl)-4-[18F]fluorobenzamide ([18F]-DAFBA): A novel potential PET probe to image melanoma tumors. Bioconjug. Chem.; 2009; 20, pp. 583-590. [DOI: https://dx.doi.org/10.1021/bc8005094]

100. Liu, S.; Youngchim, S.; Zamith-Miranda, D.; Nosanchuk, J.D. Fungal Melanin and the Mammalian Immune System. J. Fungi; 2021; 7, 264. [DOI: https://dx.doi.org/10.3390/jof7040264]

101. Nosanchuk, J.D.; Jeyakumar, A.; Ray, A.; Revskaya, E.; Jiang, Z.; Bryan, R.A.; Allen, K.J.H.; Jiao, R.; Malo, M.E.; Gomez, B.L. et al. Structure-function analysis and therapeutic efficacy of antibodies to fungal melanin for melanoma radioimmunotherapy. Sci. Rep.; 2018; 8, 5466. [DOI: https://dx.doi.org/10.1038/s41598-018-23889-z]

102. Klein, M.; Lotem, M.; Peretz, T.; Zwas, S.T.; Mizrachi, S.; Liberman, Y.; Chisin, R.; Schachter, J.; Ron, I.G.; Iosilevsky, G. et al. Safety and efficacy of 188-rhenium-labeled antibody to melanin in patients with metastatic melanoma. J. Skin Cancer; 2013; 2013, 828329. [DOI: https://dx.doi.org/10.1155/2013/828329]

103. Rbah-Vidal, L.; Vidal, A.; Billaud, E.M.; Besse, S.; Ranchon-Cole, I.; Mishellany, F.; Perrot, Y.; Maigne, L.; Moins, N.; Guerquin-Kern, J.L. et al. Theranostic Approach for Metastatic Pigmented Melanoma Using ICF15002, a Multimodal Radiotracer for Both PET Imaging and Targeted Radionuclide Therapy. Neoplasia; 2017; 19, pp. 17-27. [DOI: https://dx.doi.org/10.1016/j.neo.2016.11.001]

104. Eisenhut, M.; Hull, W.E.; Mohammed, A.; Mier, W.; Lay, D.; Just, W.; Gorgas, K.; Lehmann, W.D.; Haberkorn, U. Radioiodinated N-(2-diethylaminoethyl)benzamide derivatives with high melanoma uptake: Structure-affinity relationships, metabolic fate, and intracellular localization. J. Med. Chem.; 2000; 43, pp. 3913-3922. [DOI: https://dx.doi.org/10.1021/jm991079p] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11052796]

105. Sillaire-Houtmann, I.; Bonafous, J.; Veyre, A.; Mestas, D.; D’Incan, M.; Moins, N.; Kemeny, J.L.; Chossat, F.; Bacin, F. Phase 2 clinical study of 123I-N-(2-diethylaminoethyl)-2-iodobenzamide in the diagnostic of primary and metastatic ocular melanoma. J. Fr. Ophtalmol.; 2004; 27, pp. 34-39. [DOI: https://dx.doi.org/10.1016/S0181-5512(04)96089-5]

106. Brandau, W.; Niehoff, T.; Pulawski, P.; Jonas, M.; Dutschka, K.; Sciuk, J.; Coenen, H.H.; Schober, O. Structure distribution relationship of iodine-123-iodobenzamides as tracers for the detection of melanotic melanoma. J. Nucl. Med.; 1996; 37, pp. 1865-1871. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8917194]

107. Michelot, J.M.; Moreau, M.F.; Labarre, P.G.; Madelmont, J.C.; Veyre, A.J.; Papon, J.M.; Parry, D.F.; Bonafous, J.F.; Boire, J.Y.; Desplanches, G.G. et al. Synthesis and evaluation of new iodine-125 radiopharmaceuticals as potential tracers for malignant melanoma. J. Nucl. Med.; 1991; 32, pp. 1573-1580.

108. Michelot, J.M.; Moreau, M.F.C.; Veyre, A.J.; Bonafous, J.F.; Bacin, F.J.; Madelmont, J.C.; Bussiere, F.; Souteyrand, P.A.; Mauclaire, L.P.; Chossat, F.M. et al. Phase II Scintigraphic Clinical Trial of Malignant Melanoma and Metastases with Iodine-123-N-(2-Diethylaminoethyl 4-Iodobenzamide). J. Nucl. Med.; 1993; 34, pp. 1260-1266.

109. Moins, N.; D’Incan, M.; Bonafous, J.; Bacin, F.; Labarre, P.; Moreau, M.F.; Mestas, D.; Noirault, E.; Chossat, F.; Berthommier, E. et al. 123I-N-(2-diethylaminoethyl)-2-iodobenzamide: A potential imaging agent for cutaneous melanoma staging. Eur. J. Nucl. Med. Mol. Imaging; 2002; 29, pp. 1478-1484. [DOI: https://dx.doi.org/10.1007/s00259-002-0971-6]

110. Cachin, F.; Miot-Noirault, E.; Gillet, B.; Isnardi, V.; Labeille, B.; Payoux, P.; Meyer, N.; Cammilleri, S.; Gaudy, C.; Razzouk-Cadet, M. et al. (123)I-BZA2 as a melanin-targeted radiotracer for the identification of melanoma metastases: Results and perspectives of a multicenter phase III clinical trial. J. Nucl. Med.; 2014; 55, pp. 15-22. [DOI: https://dx.doi.org/10.2967/jnumed.113.123554]

111. Garg, P.K.; Nazih, R.; Wu, Y.; Singh, R.; Garg, S. 4-(11)C-Methoxy N-(2-Diethylaminoethyl) Benzamide: A Novel Probe to Selectively Target Melanoma. J. Nucl. Med.; 2017; 58, pp. 827-832. [DOI: https://dx.doi.org/10.2967/jnumed.116.184564]

112. McBride, W.J.; Sharkey, R.M.; Karacay, H.; D’Souza, C.A.; Rossi, E.A.; Laverman, P.; Chang, C.-H.; Boerman, O.C.; Goldenberg, D.M. A Novel Method of ¹⁸F Radiolabeling for PET. J. Nucl. Med.; 2009; 50, pp. 991-998. [DOI: https://dx.doi.org/10.2967/jnumed.108.060418]

113. McBride, W.J.; D’Souza, C.A.; Sharkey, R.M.; Karacay, H.; Rossi, E.A.; Chang, C.H.; Goldenberg, D.M. Improved 18F labeling of peptides with a fluoride-aluminum-chelate complex. Bioconjug. Chem.; 2010; 21, pp. 1331-1340. [DOI: https://dx.doi.org/10.1021/bc100137x]

114. Chang, C.C.; Chang, C.H.; Lo, Y.H.; Lin, M.H.; Shen, C.C.; Liu, R.S.; Wang, H.E.; Chen, C.L. Preparation and characterization of a novel Al(18)F-NOTA-BZA conjugate for melanin-targeted imaging of malignant melanoma. Bioorg. Med. Chem. Lett.; 2016; 26, pp. 4133-4139. [DOI: https://dx.doi.org/10.1016/j.bmcl.2016.06.022] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27445169]

115. Scatozza, F.; Moschella, F.; D’Arcangelo, D.; Rossi, S.; Tabolacci, C.; Giampietri, C.; Proietti, E.; Facchiano, F.; Facchiano, A. Nicotinamide inhibits melanoma in vitro and in vivo. J. Exp. Clin. Cancer Res.; 2020; 39, 211. [DOI: https://dx.doi.org/10.1186/s13046-020-01719-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33028392]

116. Jimbow, K.; Miyake, Y.; Homma, K.; Yasuda, K.; Izumi, Y.; Tsutsumi, A.; Ito, S. Characterization of melanogenesis and morphogenesis of melanosomes by physicochemical properties of melanin and melanosomes in malignant melanoma. Cancer Res.; 1984; 44, pp. 1128-1134. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/6318981]

117. Prota, G. Melanins, melanogenesis and melanocytes: Looking at their functional significance from the chemist’s viewpoint. Pigment. Cell Res.; 2000; 13, pp. 283-293. [DOI: https://dx.doi.org/10.1034/j.1600-0749.2000.130412.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10952398]

118. Pham, T.Q.; Greguric, I.; Liu, X.; Berghofer, P.; Ballantyne, P.; Chapman, J.; Mattner, F.; Dikic, B.; Jackson, T.; Loc’h, C. et al. Synthesis and evaluation of novel radioiodinated benzamides for malignant melanoma. J. Med. Chem.; 2007; 50, pp. 3561-3572. [DOI: https://dx.doi.org/10.1021/jm0701627] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17602544]

119. Joyal, J.L.; Barrett, J.A.; Marquis, J.C.; Chen, J.; Hillier, S.M.; Maresca, K.P.; Boyd, M.; Gage, K.; Nimmagadda, S.; Kronauge, J.F. et al. Preclinical evaluation of an 131I-labeled benzamide for targeted radiotherapy of metastatic melanoma. Cancer Res.; 2010; 70, pp. 4045-4053. [DOI: https://dx.doi.org/10.1158/0008-5472.CAN-09-4414] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20442292]

120. Lo, Y.-H.; Chang, T.-Y.; Chen, C.-L.; Lin, M.-H.; Wang, H.-E.; Chang, C.-W.; Liu, R.-S.; Wu, C.-Y. Development of Radiofluorinated Nicotinamide/Picolinamide Derivatives as Diagnostic Probes for the Detection of Melanoma. Int. J. Mol. Sci.; 2021; 22, 6432. [DOI: https://dx.doi.org/10.3390/ijms22126432]

121. Liu, X.; Pham, T.Q.; Berghofer, P.; Chapman, J.; Greguric, I.; Mitchell, P.; Mattner, F.; Loc’h, C.; Katsifis, A. Synthesis and evaluation of novel radioiodinated nicotinamides for malignant melanoma. Nucl. Med. Biol.; 2008; 35, pp. 769-781. [DOI: https://dx.doi.org/10.1016/j.nucmedbio.2008.05.011]

122. Chen, C.C.; Chen, Y.Y.; Lo, Y.H.; Lin, M.H.; Chang, C.H.; Chen, C.L.; Wang, H.E.; Wu, C.Y. Evaluation of Radioiodinated Fluoronicotinamide/Fluoropicolinamide-Benzamide Derivatives as Theranostic Agents for Melanoma. Int. J. Mol. Sci.; 2020; 21, 6597. [DOI: https://dx.doi.org/10.3390/ijms21186597]

123. Greguric, I.; Taylor, S.R.; Denoyer, D.; Ballantyne, P.; Berghofer, P.; Roselt, P.; Pham, T.Q.; Mattner, F.; Bourdier, T.; Neels, O.C. et al. Discovery of [18F]N-(2-(diethylamino)ethyl)-6-fluoronicotinamide: A melanoma positron emission tomography imaging radiotracer with high tumor to body contrast ratio and rapid renal clearance. J. Med. Chem.; 2009; 52, pp. 5299-5302. [DOI: https://dx.doi.org/10.1021/jm9008423]

124. Lao, Y.; Yang, C.; Zou, W.; Gan, M.; Chen, P.; Su, W. Quantification of Kryptofix 2.2.2 in [18F]fluorine-labelled radiopharmaceuticals by rapid-resolution liquid chromatography. Nucl. Med. Commun.; 2012; 33, pp. 498-502. [DOI: https://dx.doi.org/10.1097/MNM.0b013e328351415a] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22330082]

125. Chang, C.C.; Chang, C.H.; Shen, C.C.; Chen, C.L.; Liu, R.S.; Lin, M.H.; Wang, H.E. Synthesis and evaluation of (1)(2)(3)/(1)(3)(1)I-Iochlonicotinamide as a novel SPECT probe for malignant melanoma. Bioorg. Med. Chem.; 2015; 23, pp. 2261-2269. [DOI: https://dx.doi.org/10.1016/j.bmc.2015.02.017] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25800432]

126. Zheng, C.F.; Guan, K.L. Dephosphorylation and inactivation of the mitogen-activated protein kinase by a mitogen-induced Thr/Tyr protein phosphatase. J. Biol. Chem.; 1993; 268, pp. 16116-16119. [DOI: https://dx.doi.org/10.1016/S0021-9258(19)85396-6]

127. Schoentgen, F. Comparison of the efficiencies of two TR-FRET methods to detect in vitro natural and synthesized inhibitors of the Raf/MEK/ERK signaling pathway. Int. J. High Throughput Screen.; 2010; 2010, pp. 81-98. [DOI: https://dx.doi.org/10.2147/IJHTS.S9157]

128. Falchook, G.S.; Lewis, K.D.; Infante, J.R.; Gordon, M.S.; Vogelzang, N.J.; DeMarini, D.J.; Sun, P.; Moy, C.; Szabo, S.A.; Roadcap, L.T. et al. Activity of the oral MEK inhibitor trametinib in patients with advanced melanoma: A phase 1 dose-escalation trial. Lancet Oncol.; 2012; 13, pp. 782-789. [DOI: https://dx.doi.org/10.1016/S1470-2045(12)70269-3]

129. Mourad, N.; Lourenco, N.; Delyon, J.; Eftekhari, P.; Bertheau, P.; Allayous, C.; Ballon, A.; Pages, C.; Allez, M.; Lebbe, C. et al. Severe gastrointestinal toxicity of MEK inhibitors. Melanoma. Res.; 2019; 29, pp. 556-559. [DOI: https://dx.doi.org/10.1097/CMR.0000000000000618]

130. Lugowska, I.; Kosela-Paterczyk, H.; Kozak, K.; Rutkowski, P. Trametinib: A MEK inhibitor for management of metastatic melanoma. Oncol. Targets Ther.; 2015; 8, pp. 2251-2259. [DOI: https://dx.doi.org/10.2147/OTT.S72951]

131. Pratt, E.C.; Isaac, E.; Stater, E.P.; Yang, G.; Ouerfelli, O.; Pillarsetty, N.; Grimm, J. Synthesis of the PET Tracer (124)I-Trametinib for MAPK/ERK Kinase Distribution and Resistance Monitoring. J. Nucl. Med.; 2020; 61, pp. 1845-1850. [DOI: https://dx.doi.org/10.2967/jnumed.120.241901]

132. Liu, Z.; Wang, F.; Chen, X. Integrin alpha(v)beta(3)-Targeted Cancer Therapy. Drug Dev. Res.; 2008; 69, pp. 329-339. [DOI: https://dx.doi.org/10.1002/ddr.20265]

133. Guo, W.; Giancotti, F.G. Integrin signalling during tumour progression. Nat. Rev. Mol. Cell Biol.; 2004; 5, pp. 816-826. [DOI: https://dx.doi.org/10.1038/nrm1490]

134. Hsu, M.Y.; Shih, D.T.; Meier, F.E.; Van Belle, P.; Hsu, J.Y.; Elder, D.E.; Buck, C.A.; Herlyn, M. Adenoviral gene transfer of beta3 integrin subunit induces conversion from radial to vertical growth phase in primary human melanoma. Am. J. Pathol.; 1998; 153, pp. 1435-1442. [DOI: https://dx.doi.org/10.1016/S0002-9440(10)65730-6]

135. Pierschbacher, M.D.; Ruoslahti, E. Cell attachment activity of fibronectin can be duplicated by small synthetic fragments of the molecule. Nature; 1984; 309, pp. 30-33. [DOI: https://dx.doi.org/10.1038/309030a0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/6325925]

136. Weis, S.M.; Cheresh, D.A. αV integrins in angiogenesis and cancer. Cold Spring Harb. Perspect. Med.; 2011; 1, a006478. [DOI: https://dx.doi.org/10.1101/cshperspect.a006478] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22229119]

137. Haubner, R.; Wester, H.J.; Weber, W.A.; Mang, C.; Ziegler, S.I.; Goodman, S.L.; Senekowitsch-Schmidtke, R.; Kessler, H.; Schwaiger, M. Noninvasive imaging of alpha(v)beta3 integrin expression using 18F-labeled RGD-containing glycopeptide and positron emission tomography. Cancer Res.; 2001; 61, pp. 1781-1785. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11280722]

138. Beer, A.J.; Haubner, R.; Goebel, M.; Luderschmidt, S.; Spilker, M.E.; Wester, H.J.; Weber, W.A.; Schwaiger, M. Biodistribution and pharmacokinetics of the alphavbeta3-selective tracer 18F-galacto-RGD in cancer patients. J. Nucl. Med.; 2005; 46, pp. 1333-1341.

139. Beer, A.J.; Haubner, R.; Wolf, I.; Goebel, M.; Luderschmidt, S.; Niemeyer, M.; Grosu, A.L.; Martinez, M.J.; Wester, H.J.; Weber, W.A. et al. PET-based human dosimetry of 18F-galacto-RGD, a new radiotracer for imaging alpha v beta3 expression. J. Nucl. Med.; 2006; 47, pp. 763-769.

140. Haubner, R.; Kuhnast, B.; Mang, C.; Weber, W.A.; Kessler, H.; Wester, H.J.; Schwaiger, M. [18F]Galacto-RGD: Synthesis, radiolabeling, metabolic stability, and radiation dose estimates. Bioconjug. Chem.; 2004; 15, pp. 61-69. [DOI: https://dx.doi.org/10.1021/bc034170n]

141. Haubner, R.; Maschauer, S.; Prante, O. PET Radiopharmaceuticals for Imaging Integrin Expression: Tracers in Clinical Studies and Recent Developments. BioMed Res. Int.; 2014; 2014, 871609. [DOI: https://dx.doi.org/10.1155/2014/871609]

142. Inkster, J.A.; Colin, D.J.; Seimbille, Y. A novel 2-cyanobenzothiazole-based (18)F prosthetic group for conjugation to 1,2-aminothiol-bearing targeting vectors. Org. Biomol. Chem.; 2015; 13, pp. 3667-3676. [DOI: https://dx.doi.org/10.1039/C4OB02637C]

143. Colin, D.J.; Inkster, J.A.H.; Germain, S.; Seimbille, Y. Preclinical validations of [18F]FPyPEGCBT-c(RGDfK): A 18F-labelled RGD peptide prepared by ligation of 2-cyanobenzothiazole and 1,2-aminothiol to image angiogenesis. EJNMMI Radiopharm. Chem.; 2016; 1, 16. [DOI: https://dx.doi.org/10.1186/s41181-016-0019-z]

144. Haubner, R.; Weber, W.A.; Beer, A.J.; Vabuliene, E.; Reim, D.; Sarbia, M.; Becker, K.-F.; Goebel, M.; Hein, R.; Wester, H.-J. et al. Noninvasive visualization of the activated alphavbeta3 integrin in cancer patients by positron emission tomography and [18F]Galacto-RGD. PLoS Med.; 2005; 2, e70. [DOI: https://dx.doi.org/10.1371/journal.pmed.0020070] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15783258]

145. Beer, A.J.; Haubner, R.; Sarbia, M.; Goebel, M.; Luderschmidt, S.; Grosu, A.L.; Schnell, O.; Niemeyer, M.; Kessler, H.; Wester, H.-J. et al. Positron Emission Tomography Using [¹⁸F]Galacto-RGD Identifies the Level of Integrin α_vβ₃ Expression in Man. Clin. Cancer Res.; 2006; 12, pp. 3942-3949. [DOI: https://dx.doi.org/10.1158/1078-0432.CCR-06-0266] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16818691]

146. Li, L.; Zhao, W.; Sun, X.; Liu, N.; Zhou, Y.; Luan, X.; Gao, S.; Zhao, S.; Yu, J.; Yuan, S. (18)F-RGD PET/CT imaging reveals characteristics of angiogenesis in non-small cell lung cancer. Transl. Lung Cancer Res.; 2020; 9, pp. 1324-1332. [DOI: https://dx.doi.org/10.21037/tlcr-20-187]

147. Klubo-Gwiezdzinska, J.; Chen, X. Targeting Integrins with Radiolabeled RGD Analogues for Radiotheranostics of Metastatic Radioactive Iodine Nonresponsive Thyroid Cancer: New Avenues in Personalized Medicine. Thyroid; 2020; 30, pp. 476-478. [DOI: https://dx.doi.org/10.1089/thy.2020.0169] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32122272]

148. Provost, C.; Prignon, A.; Rozenblum-Beddok, L.; Bruyer, Q.; Dumont, S.; Merabtene, F.; Nataf, V.; Bouteiller, C.; Talbot, J.-N. Comparison and evaluation of two RGD peptides labelled with (68)Ga or (18)F for PET imaging of angiogenesis in animal models of human glioblastoma or lung carcinoma. Oncotarget; 2018; 9, pp. 19307-19316. [DOI: https://dx.doi.org/10.18632/oncotarget.25028]