Correlation between Survivin expression and laryngeal carcinoma: A meta-analysis

Antiapoptotic Gene Genotype and Allele Variations and the Risk of Lymphoma

BACKGROUND

The findings of earlier investigations of antiapoptotic gene genotypes and allele variants on lymphoma risk are ambiguous. This study aimed to examine the relationship between the mutation in the antiapoptotic genes and lymphoma risk among Saudi patients.

METHODS

This case-control study included 205 patients, 100 of whom had lymphoma (cases) and 105 who were healthy volunteers (controls). We used tetra amplification refractory mutation polymerase chain reaction (PCR) to identify antiapoptotic genes such as B-cell lymphoma-2 (BCL2-938 C > A), MCL1-rs9803935 T > G, and survivin (BIRC5-rs17882312 G > C and BIRC5-rs9904341 G > C). Allelic-specific PCR was used to identify alleles such as BIRC5-C, MCL1-G, and BIRC5-G.

RESULTS

The dominant inheritance model among cases showed that mutations in all four antiapoptotic genes were more likely to be associated with the risk of lymphoma by the odds of 2.0-, 1.98-, 3.90-, and 3.29-fold, respectively, compared to controls. Apart from the BCL-2-A allele, all three specified alleles were more likely to be associated with lymphoma by the odds of 2.04-, 1.65-, and 2.11-fold, respectively.

CONCLUSION

Unlike healthy individuals, lymphoma patients are more likely to have antiapoptotic gene genotypes and allele variants, apart from BCL-2-A alterations. In the future, these findings could be used to classify and identify patients at risk of lymphoma.

Survivin rs9904341 polymorphism significantly increased the risk of cancer: evidence from an updated meta-analysis of case-control studies

AIMS

Survivin, a member of inhibitor of apoptosis protein family, is involved in the regulation of cell cycle and apoptosis. Several studies inspected the association between survivin polymorphisms and the risk of various cancers, but the findings remain controversial. We conducted a meta-analysis intending to certify the association between survivin polymorphisms and cancer risk.

METHODS

All analyses were achieved using RevMan 5.3 software and STATA 14.1 software. Eligible studies were collected by comprehensive literature searching Web of Science, PubMed, Scopus, and Google scholar databases. Pooled estimates of odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the overall impact of survivin polymorphisms on cancer risk.

RESULTS

The overall analysis indicates that survivin rs9904341 polymorphism significantly increased the risk of cancer in homozygous codominant (OR 1.41, 95% CI 1.19-1.68, p = 0.0001, CC vs GG), dominant (OR 1.22, 95% CI 1.07-1.40, p = 0.003, CG+CC vs GG), recessive (OR 1.34, 95% CI 1.18-1.52, p < 0.0001, CC vs CG+GG), and allele (OR 1.20, 95% CI 1.09-1.31, p = 0.0001, C vs G) inheritance models tested. Stratified based on ethnicity revealed that rs9904341 variant significantly increased the risk of cancer in the Asian population. The findings did not support an association between rs1042489, rs2071214, rs8073069, and rs17878467 polymorphisms and risk of cancer.

CONCLUSIONS

The current study suggests that the survivin rs9904341 polymorphism may be associated with the risk of cancer either overall or in the Asian population. However, further larger and well-designed studies are warranted to evaluate this association in detail.