Bioinformatics Evaluation And Meta-analysis Of The Relationship Between RTKs Related Gene Polymorphisms And Tumor Susceptibility

Objective: For the sake of providing cancer prediction and early screening evidence-based medicine,we analyze the expression and mutation of EGFR,ERBB2,FGFR2,and FGFR4 genes in cancer and search for single nucleotide mutation sites that may affect cancer susceptibility based on Meta analysis and bioinformatics analysis.Methods: In this study,we collected all case-control studies that met the inclusion criteria as of December 2019 through computer databases such as CNKI,Wanfang Data,Pub Med and Web of Science.A Meta-analysis of all the included literatures and a stratified analysis between different subgroups according to the type of cancer were performed to assess the correlation between single nucleotide mutations and cancer risk after evaluating the heterogeneity of the included articles and publication bias.Afterwards,the Oncomine and GEPIA databases were used to analyze the m RNA expression of EGFR,ERBB2,FGFR2,and FGFR4 genes in tumors,the PRECOG database was used to analyze the correlation between the above-mentioned genes and the prognosis of cancer patients,and the c Bio Portal database was used to analyze the mutations of these genes in tumors.Results: The Meta-analysis included a total of 58 studies.In the overall analysis,it was found that FGFR2 rs2981578 carries the A allele in the allele model,the AA genotype in the homozygous model and the recessive model,and the AG gene in the heterozygous model.Carrying the AA/AG genotype in a dominant model can significantly reduce the risk of breast cancer;FGFR4 rs351855 carries the A allele in the allele model and the AA genotype in the homozygous model and recessive model will significantly increase the risk of cancer.In the stratified analysis,it was found that EGFR rs712829 carrying the T allele in the allele model can significantly reduce the risk of respiratory cancer;in the heterozygous model,the ERBB2 rs1058808 GC genotype is significantly associated with the risk of reproductive system cancer;FGFR4 rs351855 carries A allele,AA genotype and AG genotype are significantly associated with the increased risk of reproductive system cancer and blood system cancer;EGFR rs2072454 did not have an influence on the risk of cancer patients.Conclusion: 1.Meta analysis shows that FGFR2 rs2981578 polymorphism is related to the risk of breast cancer;FGFR4 rs351855 polymorphism is related to the overall cancer risk,and the correlation with the risk of reproductive system cancer and blood system cancer is particularly significant.This is consistent with the conclusions of previous studies,rs2981578 and rs351855 are expected to become tumor biomarkers.2.The stratified analysis showed that EGFR rs712829 is related to the risk of respiratory system cancer,and ERBB2 rs1058808 is related to the risk of reproductive system cancer,whereas EGFR rs2072454 has nothing to do with the risk of cancer patients.Due to the limited number of studies currently available,further studies with larger samples are needed.