-
Abbreviations
- CI
- confidence interval
- DSS
- disease-specific survival
- ER
- estrogen receptor
- HER2
- human epidermal growth factor receptor type 2
- HR
- hazard ratio
- IDC
- invasive ductal carcinoma
- p N0-p N3
- nodal metastatic lymph statue according to UICC classification
- p Stage
- pathological stage
- PR
- progesterone receptor
- RFS
- recurrence-free survival
- TN
- triple negative
Breast cancer is the leading type of cancer in women, with c. 2.1 million cases in 2018, accounting for 24% of all women with cancer, and the leading cause of death in women with cancer deaths worldwide.1,2 Although the 5-y survival rate of these patients is relatively high, undesirable recurrences and fatalities do occur. Prognostic information is derived from clinicopathological classification based on tumor size, nodal status, histological grade, and tumor subtype. Immunohistochemical (IH) analysis, combined with expression level assessment of ER, PR, and human epidermal growth factor receptors 2 (HER2), is currently used for subtyping breast cancers, based on the UICC-standardized method.3 Luminal early breast cancers, which are hormone-sensitive and tend to respond well to hormonal drug treatment, present relatively low recurrence rates following surgery.4 Breast cancers that are HER2-positive also respond well to anti-HER2 drugs, such as trastuzumab. In contrast, another subtype, classified as triple negative, recurs at higher rates with metastases, in spite of aggressive treatment with chemotherapy and/or radiotherapy. There are several valuable indicators of cancer relapse, such as lymph node status or Ki-67 labeling index, however these cannot predict distant recurrence in hormone receptor-negative or even in hormone receptor-positive patients who showed no lymph node metastasis, or who had been diagnosed at an early stage after the first surgery. In the United States and Europe, the 21-Gene Recurrence Score Assay and other genomic signatures have been introduced for standardized relapse risk assessment in hormone receptor-positive and HER2-negative breast cancer in its early stages.5 These genomic signature assays are recommended for guiding adjuvant treatment decisions in patients with hormone receptor-positive breast cancer, for whom the benefit of chemotherapy is unclear. The St. Gallen Consensus panel also concluded that patients with both hormone receptor- and HER2-positive subtypes, together with a high Ki-67 labeling index, should be considered for adjuvant chemotherapy, including those with high recurrence scores of a gene signature assay or histological grade 3.6 Nonetheless, problems still remain. The optimal Ki-67 cut-point is unclear, and the gene signatures assays are not available for all patients who need them, because they are so costly, even in the USA, Europe, and Japan. Therefore, there is a need to thoroughly understand cancer pathology and to develop the most appropriate strategy combined with reliable prognostic indicators for treatment of all patients.
CK2 is a serine/threonine kinase that is indispensable for eukaryote development and survival. The first observation linking CK2 with malignancy was reported in CK2α, the catalytic subunit of CK2, introduced in transgenic mice, in which 9 of 139 mice developed lymphoma.7 Increased expression of CK2α transcripts and/or protein has been observed in various types of human cancer8 and is considered to be one of the driver kinases for oncogenesis,9 but its functional role needs to be clarified, along with the cancer stem cell pathway.10 In normal, quiescent, cultured fibroblasts, CK2α presents a predominantly cytoplasmic distribution, however upregulation of nuclear CK2 protein levels has been observed in squamous cell carcinoma of the head and neck11 and breast carcinoma,12 both with poor clinical outcomes. Clinical trials using a highly specific and ATP-competitive CK2α inhibitor, CX-4945 for treatment of various cancers, are ongoing in the USA and EU13 We reported translocation of CK2α from the cytosol to the nucleus during cell cycle progression after growth stimulation of serum-deprived quiescent cells; constituents of nuclear CK2 complexes were involved in RNA processing, chromatin assembly, and ribosomal RNA transcription, which illuminated the participation of this kinase pathway in nuclear functions.14
In this study, we further advanced previous findings on cancer-related disorders by evaluating nuclear CK2 complexes in MCF-7 breast cancer cells. The analysis functionally links nuclear CK2 to protein synthesis and to RNA damage and repair. To understand the molecular role of CK2 expression in human cancer, we further employed immunohistochemical staining by examining surgical specimens of IDC of the breast, to evaluate CK2 protein levels and subcellular localization. Our results revealed that CK2 localization in the nucleolus correlates strongly with aggressive tumor behavior and poor clinical outcomes, suggesting “nucleolar positive staining of CK2α” as an independent marker of unfavorable prognoses in IDC. Understanding CK2 function in cancer cell nucleoli may help to improve clinical outcomes.
MATERIALS AND METHODS PatientsMaterial was derived from 112 patients with stages 1-3 IDC who had undergone surgery at Hoshi General Hospital from 2008 to 2014 without neoadjuvant chemotherapy. Clinicopathological information and outcomes for more than 5 y were confirmed. Stage 4 cases were not included. Clinicopathological parameters were determined according to UICC classification.3 All were categorized by p Stage after post-operative pathological diagnosis. Follow-up duration was defined as the period between the operation date and day of the last visit, according to the patient's medical record. This retrospective study was approved by the institutional review boards of Fukushima Medical University in August 2018 and Hoshi General Hospital in July 2018. Nodal metastatic status was unknown in 1 case in a patient who was 98 y old, with no lump upon palpation, no metastasis on the image, and negative results upon cytological examination of lymph nodes by ultrasound diagnosis. Therefore, for this patient only, we did not search the axilla during surgery.
ImmunohistochemistryCellular localization of CK2α was analyzed immunohistochemically. Paraffin-embedded surgical tissue blocks were sectioned at 4 μm and transferred to adhesive microscope slides (Platinum Pro: Matsunami Glass Ind., Ltd.). Negative controls lacked only the primary antibody in an identical procedure. After rehydration and antigen retrieval, samples were autoclaved at 121°C for 10 min in 10 mmol/L citrate-Na buffer at pH 8.0. Antigen blocking was performed using normal serum (Vector Laboratories, Inc) at a dilution of 1:200, and slides incubated for 30 min at room temperature. Slides were subsequently incubated with primary antibody, monoclonal anti-CK2α (code: 70774, Abcam) overnight at 4°C at a dilution of 1:1000 in phosphate-buffered saline containing 1% bovine serum albumin. Detection of immune-reactive staining was performed using the avidin-biotin-peroxidase complex method, in accordance with the manufacturer's instructions (ABC Kit: Vector Laboratories Inc). After incubation with diaminobenzidine (Dojindo) for 40-80 s, slides were mounted for microscopic interpretation along with control specimens, which were mounted on all slides from 112 clinical samples, and coverslipped under DePex. Sections were not counterstained with hematoxylin to avoid false-positive staining of nucleoli. Immunoreactivity was scored independently by 2 pathologists (Y. Kiko and Y. Hashimoto). At least 3 invasive areas, with the average number of cells in the thousands, were randomly selected by pathologists, and the category of CK2 staining of each plate was evaluated. In a very few cases, when there was heterogeneity of CK2 staining, 3-5 invasive regions were selected at random and evaluated by the category with the largest number of cells. The same method was used by multiple pathologists to obtain the same results. In all cases, multiple pathologists made the same decision and achieved the same results. Ki-67 labeling index was evaluated using anti-human Ki-67 monoclonal antibody, MIB-1 (code: IR626, Dako NY), and an Envision Kit (Dako NY) in accordance with the manufacturer's recommendation, following antigen retrieval with Tris-EDTA antigen retrieval buffer (pH 8.0). Clinical data collection and immunoreactivity were performed independently in an investigator-blinded study.
Cell cultureHuman retinal pigment epithelial (RPE) cells, human cervical cancer HeLa cells, human colorectal adenocarcinoma SW-480, and human breast invasive ductal carcinoma of breast MCF-7 cells, which are ER-positive, PR-positive, and HER2-negative, were obtained from the American Type Culture Collection and maintained in growth phase at 37°C in a 5% CO2 in air atmosphere in Dulbecco's modified minimal essential medium containing F12 medium (DMEM-F12, Sigma) for RPE, or RPMI (Sigma) for human cancer cells, supplemented with 10% fetal bovine serum in the absence of antibiotics.
Cell fractionation and western blottingLogarithmically growing cells were harvested in phosphate-buffered saline with a rubber scraper, centrifuged, and lysed to separate cytosolic and nuclear fractions, according to a protocol previously described.14 To facilitate mass spectrometry, no detergent was included in the fractionation process. Briefly, after removal of the cytosolic fraction, nuclear proteins were solubilized with 0.6 mol/L NaCl in 20 mmol/L HEPES (pH 7.4), containing 25 mmol/L β-glycerophosphate, 20% glycerol, 1 mmol/L DTT, 2 mmol/L EDTA, 1 microgram/mL aprotinin, 1 microgram/mL loupe-tin, 1 mmol/L PMSF. Cytosolic and nuclear fractions from RPE, HeLa, SW-480, and MCF-7 cells were separated by 10% SDS-PAGE, followed by western blotting. The mouse anti-β-actin (A2228, Sigma-Aldrich) and rabbit anti-hnRNPM (SAB450, Sigma-Aldrich) were purchased from commercial sources.
Proteome analysisTo identify CK2-associated proteins, nuclear fractions were pre-cleared by extensive incubation with normal IgG-agarose beads, and then immunoprecipitated with anti-CK2α monoclonal antibody previously crosslinked to agarose beads in accordance with the manufacturer's protocol. Proteins associated with the beads were eluted stepwise in 5 fractions with 0.1% formic acid. These eluates were monitored for CK2α protein by western blotting and fractions containing CK2α were combined, digested with trypsin, reduced, and alkylated with dithiothreitol and iodoacetamide, respectively, and prepared for mass analysis as described. To characterize CK2-associated proteins systemically, nuclear and nucleolar extracts were prepared15,16 more than 5 times independently. We decided to use the nuclear extract instead of the nucleolar fraction to compare CK2-associated proteins between RPE and MCF-7, because of the small number of proteins in RPE nucleolar extracts. Peptide solutions were analyzed using a direct nano-flow liquid chromatography system (Thermo Fischer Scientific) connected to a linear ion trap mass spectrometer (LTQ Orbitrap Velos, Thermo Fisher Scientific). Acquisition of MS/MS spectra was performed, and .raw files were converted into complete peak lists using Xcalibur software. They were analyzed with Proteome Discoverer (v.1.4, Thermo Scientific) for database searching. Protein identification was performed with automated database searches using Mascot (v.2.4, Matrix Science) and the Swiss-Prot database. Protein identification was based on peptide thresholds with a 95.0% confidence minimum, peptide cutoff scores greater than 10, PSMs with delta Cn scores better than 10, protein score thresholds (Mascot) greater than 29, and protein significance with a 95.0% confidence minimum. We analyzed each data set from a minimum of 3 independently prepared samples. ANOVA calculations were performed to obtain semi-quantitative estimates of protein changes and to normalize these quantities against 3 similar samples of MCF-7 and RPE cells, according to the top 3 precursor intensities using the Scaffold 4 algorithm.
The sources searchedProteins in MCF-7 cells were further analyzed using the Ingenuity Pathway Analysis system (Qiagen) to demonstrate their intracellular signal pathways and functions in the cells (10 November 2019 to 30 March 2020). On 23 February 2020, we used publicly available resources NOD, Nucleolar Localization Sequence Detector:
Differences in nucleolar CK2α expression in tumors and clinicopathological parameters (tumor size, lymph node metastasis, histological malignancy, Ki-67 labeling index, recurrent state, mortality, the length of RFS and/or DSS) were examined in this study. CK2 staining was evaluated in relation to tumor recurrence and mortality from breast cancer. Furthermore, survival curves for nucleolar CK2 staining-positive (categories IV and V) and nucleolar CK2 staining-negative (categories I-III) were analyzed using the Kaplan-Meier method. Relapse-free survival and DSS were analyzed. RFS and DSS are defined as the time from surgery to relapse, and the time from surgery to death from breast cancer, respectively. Significance of the difference between the 2 survival curves (nucleolar CK2 positive and nucleolar CK2 negative) was assessed using the log-rank test. The HR and its 95% confidence interval were calculated. A P-value < .05 was considered significant. All statistical analyses were performed using JMP Pro v.14.2.0 (SAS), except the Kaplan-Meier method, which was performed using GraphPad Prism v.7.0. Both platforms were used to draw the same conclusion to investigate the effect of any explanatory variable on RFS.
RESULTS Nuclear CK2α complexes for protein synthesisGiven the importance of nuclear CK2 in cell proliferation, we wondered how CK2 contributed to cell proliferation and whether CK2 was also involved in cellular malignancies. To answer these questions, the protein interactome of nuclear CK2α was investigated using the MCF-7 adenocarcinoma cell line, isolated from a metastasis of a patient with breast cancer. Using western blots, we confirmed prominent expression of CK2α in the nuclei of cancer cells (Figure S1A) compared with that in normal retina-derived cells (RPE). Nuclear proteins were further prepared from MCF-7 and RPE cells followed by immunoprecipitation with CK2α antibody. Proteins significantly elevated in MCF-7 cells are listed in Table S1, and categorized into canonical pathways under Gene Ontology terms EIF2, P70S60, and mTOR signaling, all of which drive cellular functions related to protein synthesis (Figure S1B,D). Putative molecular and cellular functions and top networks suggested CK2α’s role in protein synthesis, RNA damage and repair, and RNA post-transcriptional modification in the nuclear compartment (Figure S1C,D). One of the top network terms highlighted CK2α’s involvement in cancer signaling. These results prompted us to analyze clinical samples from patients with cancer.
CK2 localization to cancer cell nucleiBetween September 2007 and February 2014, 112 patients who developed IDC were admitted for surgery at Hoshi General Hospital in Fukushima, Japan (Table 1). All patients were new cases. Patients with recurrent or bilateral breast cancer at the time of surgery were excluded from this study. None of the patients had received chemotherapy or endocrine therapy preoperatively. Luminal-type (71/112, 63.4%), HER2 type (23/112, 20.5%), and TN breast cancers (18/112, 16.1%) were included (Table 1). When anti-CK2α antibody and diaminobenzidine (DAB) staining were employed with formalin block paraffin-embedded surgical specimens, distinctive nuclear CK2α expression was visible in invasive cells as dots of enhanced density in the nuclei, compared with staining observed in non-invasive cells (Figure 1A). To define the subcellular localization of CK2, we focused on invasive regions of every specimen and defined 5 levels of CK2α expression:
- Nuclear staining was not visible, but cell bodies were stained.
- Nuclear staining was more obvious compared with cytosolic staining.
- Nuclear staining was more intense than in category II.
- Positive nucleolar staining was evident, as well as nuclear staining.
- Staining was mostly confined to nucleoli, but without intense staining of the nucleoplasm (Figure 1B).
TABLE 1 Patient characteristics
Total | n = 112 |
Median age, y (range) | 55 (26-98) |
Gender (male/female) | 0/112 |
Tumor size, cm (range) | 2.47 (0.1-12) |
Subtypes, n (%) | |
Luminal: Hormone receptor (+), HER2 (−) | 71 (63.4) |
HER2: Hormone receptor (−), HER2 (+) | 23 (20.5) |
Triple negative | 18 (16.1) |
Histology | |
Invasive ductal carcinoma | 112 |
Pathological stage, n (%) | |
I | 45 (40.2) |
IIA | 34 (30.4) |
IIB | 12 (10.7) |
IIIA | 8 (7.1) |
IIIB | 1 (0.9) |
IIIC | 12 (10.7) |
Lymph node, n (%) | |
p N0 | 62 (55.3) |
p N1 | 31 (27.7) |
p N2 | 6 (5.4) |
p N3 | 12 (10.7) |
Unknown | 1 (0.9) |
Histological grade, n (%) | |
1 | 25 (22.3) |
2 | 53 (47.3) |
3 | 34 (30.4) |
Ki-67, % (range) | 19.1 (0.2-77.9) |
Recurrence, n (%) | 12 (10.7) |
Mortality, n (%) | 5 (4.5) |
FIGURE 1. Detection of nuclear protein kinase CK2α by immunohistochemical analysis of IDC breast carcinomas. A, Representative detection of nuclear protein kinase CK2α in invasive cells. (Upper) Paraffin sections were stained with a monoclonal, anti-CK2α antibody, which was detected with diaminobenzidine (DAB). Boxed regions show magnified images and are shown in the middle column. (Lower) HE staining of a serial section. B, Representative results of CK2 staining categories I, II, III, IV, and V are shown, along with enlarged images for categories IV and V. Arrows indicate positions of nuclei in which nucleolar staining is visible in the center area. (Upper) A table represents the distribution of clinical samples and their numbers
CK2α staining was localized to cell nuclei in 105 of 112 IDC samples (93.75%; Table 1b). CK2 staining categories were compared with important clinicopathological states. Higher median values for tumor size, nodal metastatic status, histological grade, and Ki-67 labeling index were associated with more intense CK2α staining categories, with P-values varying from 0.1888 to 0.5737 (Figure 2A). No sample with CK2 staining category I corresponded to histological grade 3, and increasing histological grade was correlated with nucleolar CK2 staining. In histological grade 3, the proportion of CK2 staining categories II plus III (nucleolar negative) was 28.1% (18/64) and of categories IV plus V (nucleolar positive) was 36.6% (15/41). These findings prompted us to examine nuclear localization of CK2 in relation to clinical outcomes in breast carcinomas.
FIGURE 2. Clinical and histological grades are positively correlated with CK2 staining status, which accurately predicts RFS and DSS of breast carcinoma patients. A, Tumor size (upper left), metastatic nodal status (upper right), histological grade (1-3, lower left), and Ki-67 labeling index (%) (lower right) are plotted against CK2 staining categories: cytoplasmic CK2 staining only (I), cytoplasmic and nuclear staining (II + III), nuclear and nucleolar staining (IV) plus nucleolar staining (V) samples. B, Box plots showing that patients displaying only cytoplasmic CK2 staining had longer RFS (upper) and DSS (lower) than patients showing nuclear and nucleolar CK2 staining. Nucleolar CK2-positive staining cases show the shortest RFS and DSS. CI, confidence interval. Means for one-way ANOVA are indicated
We investigated CK2 staining in subcellular compartments in relation to clinical outcomes, breast cancer recurrence rates, and mortality. Of 112 patients, 12 (10.7%) suffered breast cancer recurrence, including 5 fatalities (4.5%) (Table 2). Two additional patients died of factors other than breast cancer progression. All fatalities resulting from cancer recurrence exhibited CK2 staining levels III, IV, or V. Specifically, nucleolar CK2 staining categories (IV and V) included 41 patients. Nine of these (9/41, 22.0%), suffered cancer recurrence and 4 related to the first breast carcinoma proved fatal (4/41, 9.8%). In contrast, CK2 staining categories I-III comprised 71 patients, only 3 of whom (3/71, 4.2%) suffered a recurrence, with 1 fatality (1/71, 1.4%) (Table 2). Kaplan-Meier analysis demonstrated that RFS and DSS in nucleolus-positive CK2 staining categories (IV + V), were significantly shorter than those associated with categories I-III (P = .0002, Figure 2B). These changes were similarly observed in the length of DSS (Figure 2B) and were significant in recurrent and fatal cases (Table S2). These results suggested that nucleolar CK2 localization correlated strongly with poor clinical outcomes.
TABLE 2 Comparison of patient outcomes and subtype categories between CK2α staining status
CK2α staining | n (%) | Outcomes related to IDC | Dead (total) | Subtype | |||
Recurrent | Dead | Luminal | HER2 | TN | |||
I | 7 (100) | 0 | 0 | 0 | 7 (100) | 0 | 0 |
II | 15 (100) | 0 | 0 | 0 | 13 (86.7) | 1 (6.7) | 1 (6.7) |
III | 49 (100) | 3 (6.1) | 1 (2.0) | 1 (2.0) | 27 (55.1) | 11 (22.4) | 11 (22.4) |
IV | 24 (100) | 5 (20.8) | 2 (8.3) | 3 (12.5) | 14 (58.3) | 8 (33.3) | 2 (8.3) |
V | 17 (100) | 4 (23.5) | 2 (11.8) | 3 (17.6) | 10 (58.8) | 3 (17.6) | 4 (23.5) |
Total | 112 (100) | 12 (10.0) | 5 (4.5) | 7 (6.3) | 71(63.4) | 23 (20.5) | 18 (16.1) |
In Kaplan-Meier analysis, we observed a significant difference in cumulative RFS between CK2 staining categories (IV and V) and categories I-III in the 10 y after the first surgery (Figure 3A). DSS analysis presented a similar picture (Figure 3B). When patients were grouped into various clinicopathological subtypes (Figure 4A-E): hormone receptor (ER and/or PR)-positive/HER2-negative, luminal-type breast cancers, which generally responded well to endocrine therapy (P = .0049), triple negative (P = .0069), p Stage I and p Stage II (P = .0177), p Stage III (P = .0073), p N I-III (P = .0138) or hormone receptor (ER and PR)-negative (P = .0201), decreased RFS was also evident in nucleolar CK2-positive cases compared with negative cases. Notably, for the TN group, no patient exhibiting nucleolar CK2-negative staining relapsed or died. In contrast, roughly a 50% decrease of RFS length occurred in nucleolar CK2-positive patients in TN and late-stage groups. Therefore, we suspected that poor RFS and nucleolar CK2 staining are associated with clinicopathological malignancy. We analyzed the HR to assess the prognostic potential of multiple diagnostic factors. As generally recognized, the number of lymph node metastases was the most reliable factor, with the highest HR among them (HR = 14.30, P = .0008; Table 3). Evaluation of nucleolar CK2-positive staining showed a high secondary index with HR = 6.629 (P = .001), which was significantly higher than the HRs from tumor size or p stage. We further analyzed Cox proportional hazard regression to delineate the effect of any explanatory variable on RFS, in which 2 analytical platforms were used to confirm the same conclusion. Evaluation of nucleolar CK2 can be considered as an independent prognostic factor, as it reached statistical significance in both univariate (HR = 6.853, P = .004) and multivariate analyses (HR = 5.264, P = .017) (Table 3). In addition, the HR of nucleolar CK2-positive was less affected by adjustments in Cox proportional multivariate analysis, although that of the other 3 factors greatly decreased the ratio. In regard to RFS, we noticed that 3 patients who had fatal outcomes that were diagnosed at p Stage I or IIA at the time of the first operation were accurately evaluated, having nucleolar CK2 staining categories IV or V (Figure S2, Table S2). These results demonstrated the utility of subcellular CK2 distribution as an independent prognostic factor for breast cancer behavior 5-10 y after surgery.
FIGURE 3. Nucleolar CK2α staining is associated with poor outcomes of IDC patients. Percentages of RFS (A) and DSS (B) after the first operation are stratified by nucleolar CK2-positive (IV, V) or –negative (I-III) immunoreactivity using the Kaplan-Meier method. Differences between subcategory curves were assessed using the log-rank test. CI, confidence interval
FIGURE 4. Positive nucleolar CK2α staining predicts poor prognosis among TN and late-stage cancers. RFS percentage is shown, stratified by combined CK2 staining categories in patients grouped according to hormone receptor (ER and/or PR)-positive/HER2-negative status (A, N = 71), TN status (B, N = 18), and pathological stage (p Stage) I or II (C, N = 91), p Stage III (D, N = 21), p N I to III (E, N = 49), or hormone receptor (ER and PR)-negative (F, N = 27), using the Kaplan-Meier method. Differences between subgroup curves were assessed using the log-rank test. CI, confidence interval; HR, hazard ratio
TABLE 3 Nucleolar CK2α status as a precise, new prognostic factor
Factor | Kaplan-Meier/Univariate | |||
Chi-square | HR | 95% CI | Log-rank, P | |
CK2 Nucleolar (+) | 10.905 | 6.629 | 1.954-22.49 | .0013 |
Tumor size, >2.0 cm | 5.836 | 4.361 | 1.379-13.79 | .0157 |
p Stage III | 4.961 | 5.469 | 1.226-24.39 | .0259 |
Nodal lymph, positive | 11.349 | 14.3 | 4.568-44.78 | .0008 |
Hormone receptor (−) | 2.388 | 2.402 | 0.6251-9.23 | .1222 |
Triple negative | 0.9409 | 1.888 | 0.3872-9.209 | .332 |
Histological grade 3 | 0.7998 | 1.678 | 0.4874-5.778 | .3712 |
Ki67, ≥20% | 1.957 | 2.188 | 0.6463-7.406 | .1619 |
Factor | Cox proportional hazards regression/univariate | |||
Wald | HR | 95%-CI | P-value | |
CK2 Nucleolar (+) | 8.2 | 6.853 | 1.836-25.587 | .004 |
Tumor size, >2.0 cm | 4.887 | 4.37 | 1.182-16.153 | .027 |
p Stage III | 4.384 | 3.41 | 1.082-10.75 | .036 |
Nodal lymph, positive | 6.493 | 14.322 | 1.849-110.952 | .011 |
Hormone receptor (−) | 2.241 | 2.404 | 0.763-7.577 | .134 |
Triple negative | 0.91 | 1.889 | 0.511-6.983 | .34 |
Histological grade 3 | 0.782 | 1.679 | 0.533-5.292 | .367 |
Ki-67, ≥ 20% | 1.860 | 2.211 | 0.707-6.912 | .1726 |
Factor | Cox proportional hazards regression/multivariate | |||
Wald | HR | 95%-CI | P-value | |
CK2 Nucleolar (+) | 5.711 | 5.264 | 1.348-20.553 | .017 |
Tumor size, >2.0 cm | 3.616 | 1.837 | 0.414-8.152 | .424 |
p Stage III | 0.639 | 1.356 | 0.363-5.069 | .651 |
Nodal lymph, positive | 0.205 | 8.191 | 0.938-71.56 | .057 |
Finally, these conclusions were further strengthened by cluster analysis that grouped patients based upon common attributes and created a decision tree. We used the Partition platform to predict the length of patient RFS, based upon multiple clinicopathological factors presented in a decision tree (Figure S3). The results showed that nucleolar CK2-positive staining (categories IV and V) contributed the most to predicting the variation in future length of survival.
DISCUSSIONOur findings documented the presence of CK2α in cell nucleoli in paraffin-embedded sections of breast cancer tissue from patients who had poor prognoses. Patients with high CK2 expression levels in nucleoli exhibited decreased RFS (P = .001) after surgery. There were no fatalities among patients in CK2 staining categories I and II. In contrast, among patients exhibiting nucleolar CK2 staining categories IV or V, 3 of 5 patients had been classified at p Stage I or IIA at first surgery, and later died of breast cancer. Kaplan-Meier analysis uncovered the association of nucleolar CK2α with poor prognosis among TN and late-stage breast cancers, which seemed significant. Hazard ratios further demonstrated that nucleolar CK2 staining offered another prognostic factor, in addition to lymph node metastatic status (Table 3). These findings, including multivariate hazard analysis, suggested that nucleolar CK2 staining could be used to predict which patients would need further treatment. As shown in the Partition platform (Figure S3), CK2 staining evaluation followed the Ki-67-positive index, suggesting a possible integration of multiple markers for predicting the length of RFS more precisely. Although mutant TP53 signatures have proven to be a strong prognostic factor in early-stage breast cancer,17 evaluating nucleolar CK2 staining in combination with other indicators may allow a more accurate prediction of future recurrence or metastasis, which cannot be accomplished by current methods.
What are the functional consequences of abnormal CK2 behavior in breast carcinoma? CK2 complexes presented here in MCF-7 cells, a model breast cancer cell line, revealed a functional link of CK2 predominantly with protein synthesis, in which the role for CK2 in translation initiation was suggested by upregulated formation of eIF4F complexes through the mTORC1 pathway18 and by CK2 phosphorylation of eIF5, a key molecule for translation initiation in vivo.19 In addition, considering that high levels of rRNA synthesis by Pol I and ribosomal protein translation are important characteristics of highly proliferating cells, including cancerous cells, several recent studies of CK2 involvement in these systems have caught our attention. For example, CK2 is recruited to the rRNA gene promoter and directly regulates Pol I transcription by stabilizing the association of UBF with SL1.20 A nucleolar transcription factor, UBF, which binds to 2 regions of the ribosomal DNA promoter is phosphorylated by CK2, eventually elevating transcription of ribosomal RNA.21 Notably, a study of nucleolar proteomics in HeLa cells identified CK2 among 489 nucleolar proteins.22 These results suggested that CK2 may help regulate to post-transcriptional modification of ribosomal RNAs and their stepwise maturation, by assembly with ribosomal proteins in the nucleolar and nuclear compartments. Studies are in progress to identify molecules in the CK2 complexes and/or downstream direct targets for CK2 phosphorylation that constitute a functional link between CK2 and malignant growth of breast cancers.
An important next step will be to determine the molecular mechanisms underlying CK2 accumulation, first in nuclei, and subsequently in nucleoli (Figure 1). One such mechanism may be the presence of a nucleolar translocation signal between positions 65 and 87 in CK2α, according to the Nucleolar Localization Sequence Detector.23 We demonstrated the involvement of phosphorylation at multiple sites in CK2α, at Ser 7 and Ser 197, in relation to its activation and nuclear translocation in vivo (Homma MK et al, unpublished results). However, the molecular mechanism by which nucleolar CK2 promotes breast cancer recurrence is still obscure. Regulation of CK2 activity in nuclei and nucleoli also needs to be understood. Determining the functional consequences of nucleolar CK2 should facilitate the development of a treatment for IDC of the breast. This strategy was effective with CX-4945 against T-cell acute lymphoblastic leukemia cell lines, and a subcutaneous xenotransplant model of human T-ALL, demonstrating cytotoxic activity by downregulating PI3K/mTOR signaling,24 and also against cultured breast cancer cells by downregulating the STAT3 axis and proliferation.25 Therefore, CK2 inhibition could be relevant for breast cancer patients with nucleolar CK2α localization.
To confirm the specificity of CK2-positive staining in our study, histochemical staining experiments were performed repeatedly, sometimes compared with polyclonal antibodies against CK2α. The results demonstrated a unique specificity toward CK2α, as shown in Figure S4, in which similar results were obtained using serial sections from multiple formalin fixed paraffin-embedded blocks.
In summary, nucleolar CK2α localization is a useful marker for predicting adverse outcomes of patients with invasive ductal breast carcinomas who had undergone surgical resection of the tumor. This hypothesis provides a rationale for therapies with a CK2 inhibitor to tackle invasive malignancies, which may be associated with nucleolar dysfunction. Global clinical trials of CX-4945, a low-molecular-weight inhibitor of CK2α, are currently in progress. It is anticipated that nucleolar CK2-positive patients receiving aggressive post-operative treatment combined with a CK2 inhibitor may survive longer than those receiving standard chemotherapy. In addition, these findings may assist the development of anti-tumor strategies for breast cancers. If the efficacy of CK2 inhibition is verified, many patients globally will benefit.
ACKNOWLEDGMENTSMiwako Kato Homma acknowledges funding by AMED under Grant Number 20lm0203006j0004. The authors are grateful to Katsuhiko Midorikawa at Hoshi General Hospital, and Moe Muramatsu at Fukushima Medical University for experimental support, and Toshiyuki Suzuki at Fukushima Medical University for proteomics support. We thank the Biostatistical Consulting Service at Clinical Research Center, Fukushima Medical University, and in particular Dr Noriko Tanaka, who helped with the interpretation of the results from statistical analyses in this study. The authors thank Dr Natalie G. Ahn at the University of Colorado at Boulder, who kindly provided valuable discussion and comments. We thank Dr Steven D. Aird (
The authors declare that they have no conflicts of interests.
AUTHOR CONTRIBUTIONSMKH and TN designed and conceived the research. MKH and SM performed the experiments. YH, MN, NK, YH, and TN contributed analytic tools. MKH, YK, YH, SM, YH, and TN analyzed data. MKH, SM, and TN contributed data interpretation. MKH, and TN wrote the manuscript with input from all authors.
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Abstract
Overexpression of the ubiquitous protein kinase, CK2α, has been reported in various human cancers. Here, we demonstrate that nuclear and nucleolar CK2α localization in invasive ductal carcinomas of the breast is a reliable predictor of poor prognosis. Cellular localization of CK2α in nuclei and nucleoli was analyzed immunohistochemically using surgical tissue blocks from 112 patients, who had undergone surgery without neoadjuvant chemotherapy. Clinical data collection and median follow-up period were for more than 5 y. In total, 93.8% of patients demonstrated elevated CK2α expression in nuclei and 36.6% of them displayed elevated expression predominantly in nucleoli. Clinicopathological malignancy was strongly correlated with elevated nuclear and nucleolar CK2α expression. Recurrence-free survival was significantly worse (P = .0002) in patients with positive nucleolar CK2α staining. The 5-y survival rate decreased to a roughly 50% in nucleolar CK2α-positive patients of triple-negative (P = .0069) and p Stage 3 (P = .0073) groups. In contrast, no patients relapsed or died in the triple-negative group who exhibited a lack of nucleolar CK2α staining. Evaluation of nucleolar CK2α staining showed a high secondary index with a hazard ratio of 6.629 (P = .001), following lymph node metastasis with a hazard ratio of 14.30 (P = .0008). Multivariate analysis demonstrated that nucleolar CK2α is an independent factor for recurrence-free survival. Therefore, we propose that histochemical evaluation of nucleolar CK2α-positive staining may be a new and robust prognostic indicator for patients who need further treatment. Functional consequences of nucleolar CK2 dysfunction may be a starting point to facilitate development of novel treatments for invasive breast carcinoma.
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1 Department of Biomolecular Sciences, Fukushima Medical University School of Medicine, Fukushima, Japan
2 Department of Diagnostic Pathology, Fukushima Medical University School of Medicine, Fukushima, Japan
3 Department of Surgery, Hoshi General Hospital, Fukushima, Japan
4 Medical Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan