Association between EGF +61 A>G polymorphism and gastric cancer risk: A meta-analysis

Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis

To explore the association between epidermal growth factor (EGF) 61A/G polymorphism and lung cancer.All eligible case-control studies published up to August, 2019 were identified by searching PubMed, The excerpta medica database, China Academic Journals Full-text Database, China Biology Medicine, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang databases. Two researchers independently identified the literature, extracted data, and evaluated quality according to inclusion and exclusion criteria. Meta-analysis was performed by Stata 15.0.A total of 6 studies is included, including 1487 cases and 2044 control subjects. Compared with allele A, allele G was considered to have no association with the risk of lung cancer, odds ratio = 1.07 (95% confidence interval: 0.98-1.15). GG recessive genotype, GG + GA dominant genotype, GG homozygote genotype and GA heterozygote genotype were found out that all of them are not associated with the risk of lung cancer. No association between EGF 61A/G polymorphism and lung cancer was found out by ethnical subgroup analysis. However, in view of the limitations of this study, such as the results of quantitative and sensitivity analysis may be lack of accuracy, so the conclusions of allele model and recessive gene model should be made carefully.It suggested that there was no association between polymorphism of EGF 61A/G and susceptibility of lung cancer.

EGF+61 A>G polymorphism is not associated with lung cancer risk in the Brazilian population

Epidermal growth factor (EGF) and its receptor (EGFR) play an important role in lung carcinogenesis. A functional single nucleotide polymorphism (SNP) in EGF promoter region (EGF+61 A>G-rs4444903) has been associated with cancer susceptibility. Yet, in lung cancer, the EGF+61 A>G role is unclear. The aim of this study was to evaluate the risk of lung cancer associated with EGF+61 A>G SNP in the Brazilian population. For that, 669 lung cancer patients and 1104 controls were analyzed. EGF+61 A>G genotype was assessed by PCR-RFLP and TaqMan genotyping assay. Both patients and controls were in Hardy-Weinberg equilibrium. As expected, uni- and multivariate analyses showed that tobacco consumption and age were significant risk factors for lung cancer. The genotype frequencies in lung cancer patients were 27.3% of AA, 47.4% of AG and 25.3% of GG, and for controls were 25.3% of AA, 51.6% of AG and 23.1% of GG. The allele frequencies were 51.1% of A and 48.9% of G for both cases and controls. No significant differences for the three genotypes (AA, AG and GG-codominant model) were observed between cases and controls. We then grouped AG and GG (recessive model) genotypes, as well as AA and AG (dominant model), and again, no significant differences were also found. This is the largest study to explore EGF+61 A>G polymorphism association with lung cancer risk and suggests that this SNP is not a risk factor for lung cancer in the Brazilian population.

Genetic polymorphisms and gastric cancer risk: a comprehensive review synopsis from meta-analysis and genome-wide association studies

Objective

In the past few decades, more than 500 reports have been published on the relationship between single nucleotide polymorphisms (SNPs) on candidate genes and gastric cancer (GC) risk. Previous findings have been disputed and are controversial. Therefore, we performed this article to summarize and assess the credibility and strength of genetic polymorphisms on the risk of GC.

Methods

We used Web of Science, PubMed, and Medline to identify meta-analyses published before July 30th, 2018 that assessed associations between variants on candidate genes and the risk of GC. Cumulative epidemiological evidence of statistical associations was assessed combining Venice criteria and a false-positive report probability (FPRP) test.

Results

Sixty-one variants demonstrated a significant association with GC risk, whereas 29 demonstrated no association. Nine variants on nine genes were rated as presenting strong cumulative epidemiological evidence for a nominally significant association with GC risk, including APE1 (rs1760944), DNMT1 (rs16999593), ERCC5 (rs751402), GSTT1 (null/presence), MDM2 (rs2278744), PPARG (rs1801282), TLR4 (rs4986790), IL-17F (rs763780), and CASP8 (rs3834129). Eleven SNPs were rated as moderate, and 33 SNPs were rated as weak. We also used the FPRP test to identify 13 noteworthy SNPs in five genome-wide association studies.

Conclusions

Sixty-one variants are significantly associated with GC risk, and 29 variants are not associated with GC risk; however, five variants on five genes presented strong evidence for an association upgraded from moderate. Further study of these variants may be needed in the future. Our study also provides referenced information for the genetic predisposition to GC.

Understanding the Impact of ErbB Activating Events and Signal Transduction on Antigen Processing and Presentation: MHC Expression as a Model

Advances in molecular pathology have changed the landscape of oncology. The ability to interrogate tissue samples for oncogene amplification, driver mutations, and other molecular alterations provides clinicians with an enormous level of detail about their patient's cancer. In some cases, this information informs treatment decisions, especially those related to targeted anti-cancer therapies. However, in terms of immune-based therapies, it is less clear how to use such information. Likewise, despite studies demonstrating the pivotal role of neoantigens in predicting responsiveness to immune checkpoint blockade, it is not known if the expression of neoantigens impacts the response to targeted therapies despite a growing recognition of their diverse effects on immunity. To realize the promise of 'personalized medicine', it will be important to develop a more integrated understanding of the relationships between oncogenic events and processes governing anti-tumor immunity. One area of investigation to explore such relationships centers on defining how ErbB/HER activation and signal transduction influences antigen processing and presentation.