PSCA rs2294008 Polymorphism with Increased Risk of Cancer

Single nucleotide polymorphisms of whole genes and atrophic gastritis susceptibility:a systematic review and meta-analysis

BACKGROUND

Atrophic gastritis (AG) is one of the important precancerous lesions of gastric cancer. Single nucleotide polymorphisms (SNPs) are closely related to AG susceptibility. However, the research conclusions on the predictive potential of SNPs are inconsistent. The study aims to retrospect the association between SNPs of whole genes and AG risk by meta-analysis.

MATERIALS AND METHODS

Up to April 29, 2020, a systematic literature search for the relationship of SNPs with AG susceptibility was performed utilizing PubMed, Web of Science and Chinese National Knowledge Infrastructure. The overall and stratified meta-analyses on extracted data were conducted by Stata11.2.

RESULTS

33 case-control studies were enrolled containing 9951 AG patients and 17,252 healthy controls, and 17 SNPs in 12 different genes were systematically reviewed. The results indicated that 12 genes could be categorized based on their functions, including immune response, cell proliferation and apoptosis, and DNA damage repair. For the SNPs in immune response-related genes, the C allele of TLR1 rs4833095 T/C increased AG risk to 1.21-fold and the recessive model of TLR4 rs11536878 in the TLR gene family decreased AG susceptibility to 0.48-fold. The variant alleles of IL-10 rs1800871 (OR = 1.21) and IL-8 rs4073 (OR = 1.22) in the IL gene family were positively associated with AG risk. PSCA rs2294008 enhanced AG risk in all genetic models. SNPs associated with AG susceptibility were mainly focused on immune response-related genes.

CONCLUSION

These SNPs related to immune response could influence on AG risk and have potential to be AG predictive biomarkers. It is worth noting that the number of studies for each SNPs were insufficient due to the limited published researches and updated meta-analysis needs to be performed based on extensive relevant studies for more reliable results.

Emerging Role of Lymphocyte Antigen-6 Family of Genes in Cancer and Immune Cells

Stem Cell Antigen-1 (Sca-1/Ly6A) was the first identified member of the Lymphocyte antigen-6 (Ly6) gene family. Sca-1 serves as a marker of cancer stem cells and tissue resident stem cells in mice. The Sca-1 gene is located on mouse chromosome 15. While a direct homolog of Sca-1 in humans is missing, human chromosome 8—the syntenic region to mouse chromosome 15—harbors several genes containing the characteristic domain known as LU domain. The function of the LU domain in human LY6 gene family is not yet defined. The LY6 gene family proteins are present on human chromosome 6, 8, 11, and 19. The most interesting of these genes are located on chromosome 8q24.3, a frequently amplified locus in human cancer. Human LY6 genes represent novel biomarkers for poor cancer prognosis and are required for cancer progression in addition to playing an important role in immune escape. Although the mechanism associated with these phenotype is not yet clear, it is timely to review the current literature in order to address the critical need for future advancements in this field. This review will summarize recent findings which describe the role of human LY6 genes—LY6D, LY6E, LY6H, LY6K, PSCA, LYPD2, SLURP1, GML, GPIHBP1, and LYNX1; and their orthologs in mice at chromosome 15.

Contribution of prostate stem cell antigen variation rs2294008 to the risk of bladder cancer

OBJECTIVE

Number of studies have been performed to evaluate the relationship between prostate stem cell antigen (PSCA) variation rs2294008 and bladder cancer risk, but the sample size was small and the results were conflicting. This meta-analysis was conducted to comprehensively evaluate the overall association.

METHODS

Pubmed, Web of science, Embase, China biology medical literature database (CBM), China National Knowledge Infrastructure (CNKI), Wan Fang and Weipu databases were searched before June 30, 2018. The strength of associations was assessed using odds ratios (ORs) and 95% confidence intervals (CIs). All of the statistical analyses were conducted using Review Manager 5.3 and Stata 14.0.

RESULTS

Ten studies involved 14,021 cases and 26,871 controls. Overall, significant association was observed between the PSCA gene variant rs2294008 polymorphism and bladder cancer (T vs C: OR = 1.16, 95%CI = 1.12-1.20; TT vs CC: OR = 1.32, 95%CI = 1.24-1.41; TT vs CT+CC: OR = 1.15, 95%CI = 1.09-1.22; TT+CT vs CC: OR = 1.27, 95%CI = 1.21-1.34). In subgroup analysis by ethnic group, a statistically significant association was observed in Asians (T vs C: OR = 1.23, 95%CI = 1.15-1.31) and Caucasians (T vs C: OR = 1.14, 95%CI = 1.10-1.18). The sensitivity analysis confirmed the reliability and stability of the meta-analysis.

CONCLUSION

Our meta-analysis supports that the PSCA gene variant rs2294008 polymorphism might contribute to individual susceptibility to bladder cancer.

Association between matrix-metalloproteinase polymorphisms and prostate cancer risk: a meta-analysis and systematic review

Background

Data from published articles on the relationship between MMP polymorphisms and prostate cancer risk are conflicted and inconclusive, so a meta-analysis and systematic review were performed to assess the relationship.

Methods

Relevant research articles were identified from databases using a search strategy. Studies with the same MMP polymorphisms that could be quantitatively synthesized were included in the meta-analysis. Five comparison models (homozygote, heterozygote, dominant, recessive, and additive) were applied, and a subgroup analysis by case-group sample type was performed. Studies with different polymorphisms that could not be quantitatively synthesized were included in the systematic review.

Results

Eleven articles encompassing 22 studies involving 12 MMP polymorphisms were included in this paper. Among the studies included, 13 studies involving MMP1 rs1799750, MMP2 rs243865, and MMP7 rs11568818 were quantitatively synthesized for meta-analysis, and the other nine studies involving nine polymorphisms (MMP2 rs2285053, MMP2 rs1477017, MMP2 rs17301608, MMP2 rs11639960, MMP3 11715A/6A, MMP3 1161A/G, MMP3 5356A/G, MMP9 rs17576, and MMP13 rs2252070) were included in the systematic review. Meta-analysis showed no associations between MMP1 rs1799750, MMP2 rs243865, or MMP7 rs11568818 and prostate cancer risk overall. Subgroup analysis by case-group sample type confirmed that no associations existed. The systematic review suggested that MMP3 11715A/6A and MMP9 rs17576 were associated with prostate cancer risk.

Conclusion

MMP polymorphisms are not associated with prostate cancer risk, except for MMP3 11715A/6A and MMP9 rs17576. However, it is necessary to conduct larger-scale, high-quality studies in future.

Association between matrix metalloproteinases polymorphisms and ovarian cancer risk: A meta-analysis and systematic review

Background

Published data on the relationship between matrix metalloproteinases (MMPs) polymorphisms and ovarian cancer risk have implicated inconclusive results. To evaluate the role of MMPs polymorphisms in ovarian cancer risk, a meta-analysis and systematic review were performed.

Methods

MMPs polymorphisms which could be quantitatively synthesized were involved in meta-analysis. Five comparison models (homozygote model, heterozygote model, dominant model, recessive model, additive model) were carried out, a subgroup analysis was performed to clarify heterogeneity source. The remaining polymorphisms which could not be quantitatively synthesized were involved in systematic review.

Results

10 articles with 20 studies were included in this paper. Among those studies, 8 studies involving MMP1 rs1799750 and MMP3 rs34093618 could be meta-analyzed and 12 studies involving 12 polymorphisms could not. Meta-analysis showed that no associations were found between MMP1 rs1799750 (homozygote model: OR = 0.93, 95%CI = 0.70–1.23, P_OR = 0.60; heterozygote model: OR = 1.09, 95%CI = 0.78–1.54, P_OR = 0.61; dominant model: OR = 1.02, 95%CI = 0.83–1.25, P_OR = 0.84; recessive model: OR = 0.95, 95%CI = 0.75–1.21, P_OR = 0.67; additive model: OR = 1.00, 95%CI = 0.85–1.17, P_OR = 0.99), MMP3 rs34093618 (homozygote model: OR = 1.25, 95%CI = 0.70–2.24, P_OR = 0.46; heterozygote model: OR = 1.08, 95%CI = 0.51–2.31, P_OR = 0.84; dominant model: OR = 0.97, 95%CI = 0.68–1.38, P_OR = 0.85; recessive model: OR = 1.12, 95%CI = 0.69–1.80, P_OR = 0.65; additive model: OR = 1.01, 95%CI = 0.79–1.31, P_OR = 0.91) and ovarian cancer. Furthermore, similar results were detected in subgroup analysis. The systematic review on 12 polymorphisms suggested that MMP2 C-735T, MMP7 A-181G, MMP8 rs11225395, MMP9 rs6094237, MMP12 rs2276109, MMP20 rs2292730, MMP20 rs12278250, MMP20 rs9787933 might have a potential effect on ovarian cancer risk.

Conclusions

In summary, polymorphisms of MMPs might not be associated with ovarian cancer risk. However, it is necessary to conduct more larger-scale, multicenter, and high-quality studies in the future.

A Multiple Interaction Analysis Reveals ADRB3 as a Potential Candidate for Gallbladder Cancer Predisposition via a Complex Interaction with Other Candidate Gene Variations

Gallbladder cancer is the most common and a highly aggressive biliary tract malignancy with a dismal outcome. The pathogenesis of the disease is multifactorial, comprising the combined effect of multiple genetic variations of mild consequence along with numerous dietary and environmental risk factors. Previously, we demonstrated the association of several candidate gene variations with GBC risk. In this study, we aimed to identify the combination of gene variants and their possible interactions contributing towards genetic susceptibility of GBC. Here, we performed Multifactor-Dimensionality Reduction (MDR) and Classification and Regression Tree Analysis (CRT) to investigate the gene–gene interactions and the combined effect of 14 SNPs in nine genes (DR4 (rs20576, rs6557634); FAS (rs2234767); FASL (rs763110); DCC (rs2229080, rs4078288, rs7504990, rs714); PSCA (rs2294008, rs2978974); ADRA2A (rs1801253); ADRB1 (rs1800544); ADRB3 (rs4994); CYP17 (rs2486758)) involved in various signaling pathways. Genotyping was accomplished by PCR-RFLP or Taqman allelic discrimination assays. SPSS software version 16.0 and MDR software version 2.0 were used for all the statistical analysis. Single locus investigation demonstrated significant association of DR4 (rs20576, rs6557634), DCC (rs714, rs2229080, rs4078288) and ADRB3 (rs4994) polymorphisms with GBC risk. MDR analysis revealed ADRB3 (rs4994) to be crucial candidate in GBC susceptibility that may act either alone (p < 0.0001, CVC = 10/10) or in combination with DCC (rs714 and rs2229080, p < 0.0001, CVC = 9/10). Our CRT results are in agreement with the above findings. Further, in-silico results of studied SNPs advocated their role in splicing, transcriptional and/or protein coding regulation. Overall, our result suggested complex interactions amongst the studied SNPs and ADRB3 rs4994 as candidate influencing GBC susceptibility.