TNF-α -308 G>A polymorphism and risk of bone marrow failure syndrome: A meta-analysis

Association between TNF-α gene polymorphisms and susceptibility of myelodysplastic syndromes: a meta-analysis

OBJECTIVE

Myelodysplastic syndromes (MDS) constitute a heterogeneous group of clonal hematological diseases. Previous investigations reported that tumor necrosis factor-alpha (TNF-α) gene polymorphisms were associated with MDS susceptibility, but the results remained controversial. Thus, we conducted a meta-analysis to higher elucidate the correlation between TNF-α gene polymorphisms and MDS susceptibility.

METHODS

The PubMed, Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), and Wan Fang databases were searched for eligible literatures published up to July 2021. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were applied to evaluate the strength of association.

RESULTS

Eight studies involving 1180 MDS patients and 1387 controls were included in this meta-analysis. For the TNF-α G308A polymorphism, we confirmed that the G allele (G versus A: P = 0.001), GG genotypes (GG versus GA: P = 0.005; GG versus GA + AA: P = 0.002), and GG + AA genotypes (GG + AA versus GA: P = 0.008) was significantly associated with decreased MDS susceptibility according to different genetic models. Furthermore, the G308A polymorphism was significantly correlated with decreased occurrence risk of MDS in the Caucasian population as compared with Asians in the above four genetic models (P < 0.05). However, no significant association was observed between the TNF-α G238A polymorphism and MDS risk.

CONCLUSION

This research showed that TNF-α G308A polymorphism might be a potential biomarker in early clinical screening of MDS, which would contribute to improving the individualized prevention of MDS patients in clinic.

Susceptible loci associated with autoimmune disease as potential biomarkers for checkpoint inhibitor-induced immune-related adverse events

Unprecedented successes regarding cancer immunotherapy have been achieved, in which therapeutic agents are used to target immune cells rather than cancer cells. The most effective immunotherapy to date is the group of immune checkpoint inhibitors (CPI), targeting, for example, cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) or programmed cell death protein (PD-1). TThe combination of these therapies (anti-PD-1 with anti-CTLA-4) induces high response rates, and seem to be increased further when applied in early-stage disease. However, combined CTLA-4 plus PD-1 blockade causes frequent high-grade immune-related adverse events (irAE). To date, research on biological mechanism of irAEs is scarce and no widely accepted biomarkers predicting onset of severe irAEs have been identified. The similarity of irAEs to autoimmune disorders fuels the hypothesis that irAEs may be linked to susceptible genetic loci related to various autoimmune diseases. In this review, we extensively searched for susceptible loci associated with various autoimmune diseases, and pooled them in groups most likely to be associated with CPI-induced irAEs. These sets could be used in future research on predicting irAEs and guide physicians in a more refined and personal manner.

Association Between IL-17A +197 G/A Polymorphism and Cancer Risk: A Meta-analysis

AIMS

The association between interleukin-17 (IL-17) gene polymorphism and cancer is controversial. Thus, we performed a meta-analysis to evaluate the correlation between this gene variant and cancer risk.

MATERIALS AND METHODS

We retrieved the available data from EMBASE and PUBMED through June, 2015, and evaluated the effect of the rs2273913 polymorphism in different ethnicities and cancer types. A meta-analysis was performed after data sorting.

RESULTS

Significant associations were confirmed among Asians by the allelic model (T allele vs. G allele, 95% confidence interval [95% CI] 1.304-2.120), homozygote comparison (AA vs. GG, 95% CI 1.073-1.615), and the recessive model (AA vs. AG/GG, 95% CI 1.128-1.778). We also demonstrated that rs2273913 confers a high risk of nongastrointestinal cancer based on the allelic model (T allele vs. G allele, 95% CI 2.288-3.442), homozygote comparison (AA vs. GG, 95% CI 1.312-1.925), and recessive model (AA vs. AG/GG, 95% CI 1.259-1.689).

CONCLUSIONS

Our present study indicates that the IL-17A +197 G/A/T polymorphism (rs2275913) is associated with the risk of cancer in Asian populations and nongastrointestinal cancers. Hence, rs2275913 might be useful as a diagnostic biomarker of cancer in these populations.