1. Introduction
Colorectal cancer (CRC) is the third most common malignant tumor worldwide [1,2,3]. The histology of signet ring cell cancer (SC) is distinguished from classical adenocarcinoma (AC) by an abundant amount of intracellular mucin that displaces the nucleus [2]. While frequently diagnosed in the stomach, SC is a rare histological subtype of CRC, accounting for approximately 1% of cases [1,2,4,5]. The presence of SC in the colorectum is associated with young age, females, and more aggressive behaviors, including poorer differentiation, higher risk of lymphatic invasion, and distant metastasis [6,7,8]. As such, patients with SC were mostly diagnosed with advanced tumor stages and exhibited a significantly worse prognosis compared to those with AC, with the 5-year survival rate ranging from 12% to 20% [8]. This was further supported by the multivariable analysis implicating SC as an independent prognostic factor by including differentiation, TNM stage, lymphatic invasion, and angioinvasion as co-variates [8]. From a clinical perspective, careful assessment is undoubtedly needed for each CRC patient with SC.
The aggressive tumor biology of SC is assumed to be attributed to distinct genomic aberrations. KRAS, BRAF, the mismatch repair (MMR) gene, and microsatellite (MSI) status are the most common molecular markers routinely examined for therapeutic decision-making for CRC. While the presence of KRAS/BRAF mutations precludes the use of EGFR-targeted therapies, loss of MMR gene expression or MSI status is linked to the deficiency of the mismatch repair system and may inform the use of immunotherapy. Previous studies attempted to analyze the genetic etiology of different histological subtypes of CRC by evaluating molecular markers, including KRAS, BRAF, the mismatch repair (MMR) gene, and microsatellite (MSI) status. However, conflicting results were obtained, possibly due to the small sample size and the limited number of SC cases [9]. Although higher rates of MSI-H and BRAF mutation in SC were reported in several studies, no general agreement has yet been reached [2,4,6]. Moreover, tumors with less than 50% of signet ring cell components are not defined as SC according to the classification by the World Health Organization (WHO). However, it has been suggested that these tumors may share more similarities in molecular features with SCs [10], which may lead to bias among these comparative studies. For instance, BRAF mutation is reported as being closely associated with the presence of malignant SC, regardless of the percentages of signet ring cell components [11]. Given that recent data have suggested that treatment variance between SC and non-SC may lead to a disparity in survival with CRC, a thorough analysis of the molecular associations of SC in colorectum is needed.
Therefore, this study aimed to collect the available data on the molecular features of SC in the colorectum. Meta-analyses were performed to compare KRAS, BRAF, P53 status, and MMR status between SC and non-SC CRCs.
2. Methods
2.1. Literature Search and Study Selection
Our study was conducted in accordance with the PRISMA’s statements. The Addis, R, Endnote and other software used in the study complied with the relevant operational requirements. A systematic search of PubMed, Embase, and the Cochrane Library was performed, either for published or unpublished studies that compared KRAS, BRAF, P53 status, and MMR status between patients with SC and those with non-SC in the colorectum. We searched the literature by using the following search terms: (signet ring) AND (((colorectal) OR) colon) OR rectal and performed the latest search on 24 January 2022. The title and abstract of each citation were examined by two authors independently. Potential eligible studies were obtained in full text and assessed by each author. Disagreements were resolved by discussion, if needed, by a third author. Moreover, the reference lists of all included articles were further reviewed to find if there were any other eligible publications. Retrospective studies, single-arm studies, and those with no numerical data for the outcomes of interest, letters, comments, case studies, and editorials were excluded.
2.2. Eligibility Criteria
SC is defined by the presence of signet ring cells occupying more than 50% of the tumor area [7]. Comparative studies of SC and non-SC in colorectum with data of KRAS, BRAF, P53 status, and MSI/MMR were included. Studies that only included SC were excluded. Additionally, according to the classification of WHO, studies that did not define SC properly were excluded. Similarly, studies in which signet ring cell components were less than 50% were excluded. The primary outcome is KRAS status. Secondary outcomes include BRAF, P53, and DNA mismatch repair statuses. Last, during these procedures, no language restriction was applied.
2.3. Data Extraction and Management
Two reviewers (XT-L, LT-H) independently extracted data from studies that met the inclusion criteria using a pre-designed form, and disagreements were resolved by the third reviewer (ZW). The following data were extracted from each eligible study, including authors, year of publication, journal, countries in which the study was undertaken, the time during which the study was undertaken, the definition of SC diagnosis, the type of studies, numbers of patients with SC and non-SC of the colorectum, and KRAS, BRAF, MMR/MSI, and P53 status.
2.4. Statistical Analysis
A random-effect model, as described by Der Simonian and Laird [12], was used to calculate the pooled prevalence measures, risk ratios (RR) and 95% confidence intervals (CI). Heterogeneity between RRs for the same outcome was assessed by using both the Cochran’s Q test and the I2 statistic. Random-effects models of analyses were used if heterogeneity was detected (p < 0.10, I2 > 50%), otherwise, the fixed-effects model was used. A 2-sided p < 0.05 was considered to indicate statistical significance. Additionally, ninety-five percent confidence intervals (CI) were calculated.
All data were initially divided into two groups, the SC group (in which signet ring cells occupy more than 50% of the tumor area) and the control group. Previous studies implied that there were similarities in the molecular features between SC and tumors with signet ring cell components, however, did not exceed 50% [2,10]. The following subgroup analyses were planned, studies were divided into subgroups based on the composition of control groups as non-SC (including those with signet cell components < 50%) and classic AC (no SC components; hereafter referred to as the AC group). Funnel plots were used to assess the existence of publication bias, if possible. R (version 3.6.2) and meta package (version 4.9-9) were used in this meta-analysis. Two reviewers (XT-L, LT-H) independently assessed the methodological quality of each included study. The Newcastle–Ottawa Scale [13] (with 9 as the highest score) was used to examine the patient selection, comparability of the study groups, and assessment of exposure in all these studies. Any disagreements were resolved by discussion with the third author (ZW).
3. Results
3.1. Literature Review
A flow diagram of the study selection is shown in Figure 1. A total of 1787 studies were retrieved based on our searching strategy: 955 from PubMed, 799 from Embase, and 33 from Cochrane Library. After the removal of duplicates, the number was reduced to 1347. By title and abstract alone, 1227 articles were excluded. A total of 91 articles were considered ineligible for inclusion after reviewing the full text. Finally, a total of 29 articles consisting of 9366 patients were included in the analysis (Figure 1).
3.2. Study Characteristic and Quality Assessment
The remaining 29 articles with information on 9366 patients were finally included in this analysis. Among these studies, 13 investigated the KRAS mutation, 9 described the BRAF mutation, 17 researched the MSI-H mutation, and 8 investigated the P53 positive mutations. Details of the papers included in the review are available in Table 1. In addition, the Newcastle–Ottawa Scale [13] was used to evaluate these 28 articles and their scores were all above 5.
4. Outcome Measures
4.1. KRAS Status
Thirteen studies [2,6,10,14,15,16,17,18,19,20,21,22,23] comparing the KRAS mutation on 3487 patients (168 SC, 3319 non-SC) were eligible for the inclusion. SC was negatively associated with the KRAS mutation (RR 0.48, 95% CI 0.29 to 0.78; 95% CI 0.09 to 2.49; p = 0.0062) (Figure 2(1)). There was significant heterogeneity (I2 = 20%; p = 0.24). The subgroup analysis also showed a similar tendency. Five studies [2,6,10,15,17], which compared data on 2294 patients (74 patients with SC, 2220 patients with AC), were included. SC was associated negatively with the KRAS mutation when comparing to AC (RR 0.25, 95% CI 0.16 to 0.39) (Figure 2(2)). No significant heterogeneity was observed. (I2 = 0%; p = 0.93).
4.2. BRAF Status
Nine studies [2,6,10,11,15,17,22,24,25], including data for the BRAF mutations in 2713 patients (118 signet ring cell, 2595 non signet ring cell), were eligible. SC was associated positively with the BRAF mutations (RR 1.99, 95% CI 1.21 to 3.26; 95% CI 0.68 to 5.82; p = 0.0146) (Figure 3(1)). There was no significant heterogeneity (I2 = 0%; p = 0.54). Moreover, in the subgroup analysis of six studies [2,6,10,15,17,25], the BRAF mutations were compared in 2595 patients (76 patients with SC, 2519 patients with C-CRC). SC was associated positively with the BRAF mutations when comparing to AC (RR 2.41, 95%CI 1.14 to 5.08) (Figure 3(2)). There was no significant heterogeneity (I2 = 0%; p = 0.44).
4.3. P53 Status
Eight studies [2,6,10,14,19,26,27,28], with data on 1357 patients (89 signet ring cell, 1268 non signet ring cell) were included in the analysis for P53 status. SCs and were not associated with altered P53 expression (RR 0.92, 95% CI 0.76 to 1.13; 95%CI 0.61 to 1.39; p = 0.3790) (Figure 4). There was no significant heterogeneity (I2 = 0%; p = 0.88). The subgroup analysis of Tp53 gene expression, which included three studies [2,6,14] with 63 SCs and 611 C-CRCs, showed a similar outcome (RR 0.91, 95% CI 0.77 to 1.09) (Figure 4a). There was also no significant heterogeneity (I2 = 0%; p = 0.91). Moreover, the subgroup analysis of Tp53 protein expression, which included five studies [10,19,26,27,28] with 26 SCs and 657 C-CRCs, showed a similar outcome (RR 0.93, 95% CI 0.58 to 1.49) (Figure 4b). There was also no significant heterogeneity (I2 = 0%; p = 0.59).
4.4. DNA Mismatch Repair Status
The MMR status was determined by immunohistochemistry for MMR proteins or by a polymerase chain reaction-based assessment of the microsatellite status. Seventeen studies [2,10,14,17,19,22,25,29,30,31,32,33,34,35,36,37] that included data on 6412 patients (196 SCs, 6216 non-SCs) when comparing MMR status were eligible for inclusion. SCs were positively associated with dMMR (RR 1.78, 95% CI 1.34 to 2.37; 95% CI 0.77 to 4.15) (Figure 5(1)). There was no significant heterogeneity (I2 = 0%; p = 0.46). Furthermore, in the subgroup analysis, four studies [2,10,14,17] with data on 59 SCs and 2141 C-CRCs showed the same tendency (RR 2.24, 95% CI 1.92 to 2.63) (Figure 5(2)). There was no significant heterogeneity as well (I2 = 0%; p > 0.99).
5. Discussion
Although the histological type has not yet been considered as a determinant factor in the treatment of CRC to date, it became evident that the divergence among the CRC subtypes may lead to distinct survival outcomes. A main histological feature of several CRCs is the existence of mucin, which may remain within the cells (i.e., SC) or be secreted (i.e., mucinous carcinomas). While the influence of extracellular mucinous components on prognosis remains controversial, the association between SC and poor prognosis is rigid. The present study found that SC was associated positively with the BRAF mutation and dMMR/MSI-H, and negatively with the KRAS mutation compared to non-SC. Meanwhile, no significant differences in the p53 status among SCs and non-SCs was observed, which is consistent with a previous study [14]. These findings may hold clinical implications for the treatment of CRC.
CRC is thought to evolve through three main distinct mechanisms. First, chromosomal instability (accounting for 70–90% of CRCs), resulting from loss of heterozygosity at multiple tumor suppressor gene loci [38], develops a series of genomic events initiated by an APC mutation, followed by RAS activation or function loss of p53 [39]. The second mechanism is associated with RAS and RAF mutation, and also epigenetic instability (20–30%), resulting in abnormal methylation and the silencing of tumor suppressor genes, contributing to microsatellite stable and unstable cancers [39]. The third is MSI (2–7%). Mutations in MMR genes occurred in these tumors, which then resulted in an inability to repair the single-nucleotide DNA mismatches [38,39].
The findings from this meta-analysis support that SC is more likely to display the dMMR/MSI-H tumor genotype, which is consistent with its strong association with Lynch syndrome as previously described [8]. dMMR/MSI-H is generally considered a favorable prognostic factor associated with improved overall and disease-free survival in CRCs [15]. However, increased CRC-specific mortality is associated with the BRAF mutation, even in dMMR/MSI-H patients [40]. While a proficient MMR activity in CRC cells may restore the cytotoxic response to several chemotherapy drugs, such as 5-FU and platinum compounds, dMMR/MSI-H tumors implicated a clearly reduced response to traditional chemotherapy [41]. This may partially explain the poor response to treatment in patients with SCs. Recently, immunotherapy, such as PD-1 inhibitors, has been proved effective in patients with a dMMR/MSI-H status [42], providing a potential therapeutic strategy for SC in the colorectum.
Given the significant association of SC in the colorectum with distant metastases, the therapeutic decision-making for SC predominantly occurs in the setting of metastatic CRCs, wherein the anti-EGFR antibodies (e.g., cetuximab) remain to be the first-line choice. However, EGFR inhibitors may be less effective in the treatment of SCs due to the high prevalence of BRAF mutations. Previous studies have revealed that patients with BRAF-mutated tumors demonstrated a low level of response to anti-EGFR therapies [43]. Meanwhile, the KRAS mutation also plays a definitive role in the EGFR signaling pathway [23], which now has also been implicated as a determinant factor for the use of anti-EGFR antibodies [44,45]. In contrast to the positive correlation between mucinous carcinoma and the KRAS mutation, our results suggest that SC was associated negatively with the KRAS mutation, suggesting the distinct clonal origins of SC and mucinous carcinomas. Moreover, it has been suggested that the subgroup in which patients with BRAF-mutated and KRAS wild-type tumors also declines in later lines of therapy, such as EGFR inhibitors [43]. Collectively, the high frequency of BRAF mutations in SCs might partly explain the limited effects of EGFR inhibitors.
Several limitations should be noted. The significant heterogeneity in KRAS analyses implies that there may be methodological differences and publication bias among these studies. Furthermore, previous studies point out that tumors with even less than a 50% signet ring cell component are more similar to signet ring cell cancers in molecular features [10]. Since AC, with less than a 50% signet ring cell component, was defined as non-SC, according to the literature of WHO, this may neutralize the differences between the SC group and non-SC group. As such, we performed subgroup analyses and found a high frequency of BRAF mutations in SCs. In addition, MMR and MSI were considered equivalent in our studies. However, different methods were used to detect the MSI status and MMR, which might cause bias across these studies. Most of our included studies are retrospective studies and there may be selection bias and information bias.
Together, our study demonstrated that SC in the colorectum is associated positively with the BRAF mutation, dMMR/MSI-H status, and negatively with KRAS mutations. The molecular features and their intrinsic tumor biology of SCs may partly explain their limited response to current therapies and poor clinical prognosis. To date, there are still few studies looking into its molecular etiology, possibly due to its rarity. Further studies are warranted to explore its molecular mechanisms and potential therapeutic targets.
For research articles with several authors, X.L., L.H. and M.L. conceived and designed the study, X.L., L.H. and Z.W. developed search strategy, searched data, trial selected, data extraction, as well as contacting authors for additional data. X.L., L.H., M.L. and Z.W. performed data analyses, presented results, and revised the manuscript. X.L. and Z.W. interpreted results and draw conclusions. All authors have read and agreed to the published version of the manuscript.
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The authors declare no conflict of interest.
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Enlarge this image.Figure 2. (1). Forest plot for KRAS between SRCC and non-SRCC (SRC component < 50% was not excluded). (2). Forest plot for KRAS between SRCC and C-CRC.
Enlarge this image.Figure 3. (1). Forest plot for BRAF between SRCC and non-SRCC (SRC component < 50% was not excluded). (2). Forest plot for BRAF between SRCC and C-CRC.
Enlarge this image.Figure 4. Forest plot for P53 status: (1). Forest plot for P53 status between SRCC and non-SRCC (using protein detection as test method). (2). Forest plot for P53 status between SRCC and non-SRCC (using gene detection as test method). (a) Forest plot for P53 status: (1). Forest plot for P53 status between SRCC and non-SRCC (SRC component < 50% was not excluded). (2). Forest plot for P53 status between SRCC and C-CRC. (b) Forest plot for P53 status: (1). Forest plot for P53 status between SRCC and non-SRCC (SRC component < 50% was not excluded). (2). Forest plot for p53 status between SRCC and C-CRC.
Enlarge this image.Figure 5. Forest plot for MSI-H status: (1) Forest plot for MSI-H status between SRCC and non-SRCC (SRC component < 50% was not excluded). (2) Forest plot for MSI-H status between SRCC and C-CRC (* represents these articles use MMR as test methods).
Characteristics of included studies.
| 1st Author | Year | Country | Study Type | Enrolment Interval | Total | KRAS Mutated | BRAF Mutated | MSI-H | TP53 Positive | Ottawa Score |
|---|---|---|---|---|---|---|---|---|---|---|
| Hilmi Kodaz | 2015 | Turkey | Retro | 2007~2014 | 189 | 90 | N/A | N/A | N/A | 6 |
| Serap Yalcin | 2017 | Turkey | Retro | Not mention | 28 | N/A | 11 | N/A | N/A | 7 |
| Min Hye Jang | 2017 | South Korea | Retro | 2011~2014 | 346 | N/A | 20 | 35 | N/A | 7 |
| Reetesh K. Pai | 2012 | America | Retro | 2005~2010 | 181 | 78 | 20 | N/A | N/A | 7 |
| Shin Sasaki | 1998 | Japan | Retro | 1964~1996 | 70 | 33 | N/A | N/A. | N/A | 8 |
| Ho-Su Lee | 2015 | South Korea | Retro | 2003~2011 | 90 | N/A | N/A | 13 | N/A | 8 |
| Qing Wei | 2016 | China | Retro | 2008~2015 | 61 | N/A | 2 | N/A. | N/A | 8 |
| Xiao Zhitao | 2017 | China | Retro | 2011~2015 | 2684 | N/A | N/A | 275 | N/A | 6 |
| ClaudiaValentinaGeorgescu | 2007 | Romania | Retro | 2005 | 41 | N/A | N/A | N/A. | 24 | 6 |
| Ignacio I. Wistuba | 2003 | America | Retro | Not mention | 43 | 19 | N/A | 6 | 13 | 7 |
| Shuji Ogino | 2005 | America | Retro | Not mention | 568 | 176 | 72 | 95 | 238 | 7 |
| Hyunchul Kim | 2019 | South Korea | Retro | 2003~2012 | 46 | 25 | 2 | N/A | 17 | 7 |
| Mahmoud Tag Elsabah | 2013 | Egypt | Retro | Not mention | 26 | 11 | N/A | N/A | N/A | 6 |
| Nahed A.Soliman | 2019 | Egypt | Retro | 2015~2018 | 115 | N/A | N/A | 54 | N/A | 6 |
| Y.Sugao | 1997 | Japan | Retro | 1963~1995 | 84 | N/A | N/A | N/A | 48 | 6 |
| Sanjay Kakar | 2012 | America | Retro | Not mention | 116 | 46 | 30 | 22 | N/A | 8 |
| David O.IRABOR | 2017 | Nigeria | Retro | 2007~2014 | 35 | N/A | N/A | 15 | N/A | 6 |
| Atif Ali Hashmi | 2017 | Pakistan | Retro | 2013~2015 | 100 | N/A | N/A | 34 | N/A | 6 |
| Gurjeet Kaur | 2011 | Malaysia | Retro | 2004~2007 | 150 | N/A | N/A | 28 | N/A | 6 |
| Nour El Hoda S.Ismael | 2017 | Egypt | Retro | 2012~2015 | 52 | N/A | N/A | 16 | N/A | 7 |
| Yuichi Kawabata | 1999 | Japan | Retro | 1981~1995 | 77 | 28 | N/A | 20 | 99 | 8 |
| Aghigh Koochak | 2016 | Iran | Cross sectional | 2008~2012 | 1000 | 336 | N/A | N/A | N/A | Not Done |
| Khaled R. Zalata | 2005 | Egypt | Retro | 2002~2004 | 75 | N/A | N/A | N/A | 29 | 6 |
| Ulrich Nitsche | 2016 | Germany | Pros | 1998~2012 | 256 | N/A | N/A | 89 | N/A | 8 |
| Sang Hun Jung | 2016 | South Korea | Retro | 2006~2012 | 176 | N/A | N/A | 56 | N/A | 7 |
| KentaroInamura | 2015 | America | Pros | 2008~2012 | 1220 | 440 | 179 | 190 | N/A | 7 |
| ChristopheRosty | 2014 | Australia | Retro | 1990~1994 | 738 | N/A | N/A | 86 | N/A | 8 |
| KrittiyaKorphaisarn | 2019 | America | Retro | 2009~2015 | 635 | 298 | 54 | 27 | 409 | 8 |
| Ying lv | 2019 | China | Retro | 2012~2017 | 164 | 72 | N/A | N/A | N/A | 6 |
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