AUTHOR=Yuan Dechao , Tian Jie , Fang Xiang , Xiong Yan , Banskota Nishant , Kuang Fuguo , Zhang Wenli , Duan Hong 

TITLE=Epidemiological Evidence for Associations Between Genetic Variants and Osteosarcoma Susceptibility: A Meta-Analysis

JOURNAL=Frontiers in Oncology

VOLUME=12

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.912208

DOI=10.3389/fonc.2022.912208

ISSN=2234-943X

ABSTRACT=<sec><title>Background</title><p>Previous studies have showed that single nucleotide polymorphisms (SNPs) might be implicated in the pathogenesis of osteosarcoma (OS). Numerous studies involving SNPs with OS risk have been reported; these results, however, remain controversial and no comprehensive research synopsis has been performed till now.</p></sec><sec><title>Objective</title><p>This study seeks to clarify the relationships between SNPs and OS risk using a comprehensive meta-analysis, and assess epidemiological evidence of significant associations.</p></sec><sec><title>Methods</title><p>The PubMed, Web of Science, and Medline were used to screen for articles that evaluated the association between SNP and OS susceptibility in humans before 24 December 2021. Furthermore, we used Venice Criteria and a false positive report probability (FPRP) test to assess the grades of epidemiological evidence for the statistical relationships.</p></sec><sec><title>Results</title><p>We extracted useful data based on 43 articles, including 10,255 cases and 13,733 controls. Our results presented that 25 SNPs in 17 genes were significantly associated with OS risk. Finally, we graded strong evidence for 17 SNPs in 14 genes with OS risk (<italic>APE1</italic> rs1760944, <italic>BCAS1</italic> rs3787547, <italic>CTLA4</italic> rs231775, <italic>ERCC3</italic> rs4150506, <italic>HOTAIR</italic> rs7958904, <italic>IL6</italic> rs1800795, <italic>IL8</italic> rs4073, <italic>MTAP</italic> rs7023329 and rs7027989, <italic>PRKCG</italic> rs454006, <italic>RECQL5</italic> rs820196, <italic>TP53</italic> rs1042522, <italic>VEGF</italic> rs3025039, rs699947 and rs2010963, <italic>VMP1</italic> rs1295925, <italic>XRCC3</italic> rs861539), moderate for 14 SNPs in 12 genes and weak for 14 SNPs in 11 genes.</p></sec><sec><title>Conclusion</title><p>In summary, this study offered a comprehensive meta-analysis between SNPs and OS susceptibility, then evaluated the credibility of statistical relationships, and provided useful information to identify the appropriate candidate SNPs and design future studies to evaluate SNP factors for OS risk.</p></sec>