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Background Polypeptide N‐acetylgalactosaminyltransferase 16 (GALNT16) is an N‐acetylgalactosaminyltransferase gene that alters protein O‐glycosylation, which plays a role in tumor development. This study aims to explore the association of eight GALNT16 polymorphisms with susceptibility to breast cancer (BC). Methods This case–control study included 563 BC patients and 552 age‐matched healthy controls from the Chinese Han population. The genotypes of GALNT16 polymorphisms were detected using the Agena MassARRAY. The relationship between GALNT16 polymorphisms and BC risk was evaluated using a chi‐squared test with an odds ratio (OR) and 95% confidence intervals (CI) under five genetic models. Results We observed that rs2105269 and rs72625676 were associated with higher BC risk in younger patients with age ≤51 (rs2105269, codominant: p = .006; recessive: p = .005 additive: p = .018; and allele: p = .012; rs72625676, codominant: p = .038; recessive: p = .037). For rs1275678 polymorphism, there was a significantly decreased risk of BC among elder patients (codominant: p = .017; dominant: p = .019; additive: p = .030; and allele: p = .029). Further analysis by clinical characteristics showed rs2105269 was associated with tumor size and lymph node metastasis. Conclusion Our study suggests that GALNT16 polymorphisms are associated with BC susceptibility in Chinese population.

BackgroundStudies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive.MethodsTo provide a more precise estimation of the relationship, we performed a meta‐analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers’ classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Sensitivity, publication bias, false‐positive report probability (FPRP) and statistical power were also assessed.ResultsThe result demonstrated that rs10069690 was significantly associated with an increased risk of cancer overall (OR = 1.09, 95% CI: 1.06–1.12, p < .001) under the allele model. Stratification analysis revealed an increased cancer risk in subgroups of breast cancer, ovarian cancer, lung cancer, thyroid cancer, and renal cell carcinoma (RCC). However, a significantly decreased association was observed in pancreatic cancer in the European population (OR = 0.93,95% CI: 0.87–0.99, p = .031). In the subgroup analysis based on cancer type, no significant association was found in prostate cancer, leukemia, colorectal cancer and glioma.ConclusionsThis meta‐analysis suggested that the TERT rs10069690 polymorphism may be a risk factor for cancer, especially breast cancer, ovarian cancer, lung cancer, thyroid cancer, and RCC. Further functional studies are warranted to reveal the role of the polymorphism in carcinogenesis.

Background MIR155HG plays an important role in malignant tumors, but it is rarely reported in the occurrence and development of colorectal cancer (CRC). This study investigated the effects of MIR155HG polymorphisms on CRC susceptibility from the perspective of molecular genetics. Methods Eight SNPs in MIR155HG were selected and genotyped among 514 CRC cases and 510 healthy controls using the Agena MassARRAY platform. The associations between these SNPs and the CRC risk were evaluated under genetic models using conditional logistic regression analysis. The HaploReg v4.1 database was used for SNPs functional prediction. Results The allele “C” of rs12482371 (p = 0.047), allele “C” of rs1893650 (p = 0.025), and the allele “A” of rs928883 (p = 0.037) in MIR155HG were significantly associated with CRC risk. Genetic model analysis revealed that rs12482371 and rs1893650 increased CRC risk; whereas rs928883 was associated with reduced CRC risk. Stratification analysis showed that rs9383938 was a protective factor in CRC patients under 60 years old. Rs12482371 and rs1893650 were associated with the CRC risk in females. Rs11911469 and rs34904192 may affect the clinical stage and lymph node metastasis. Moreover, the haplotypes CTT and GTC of LD block rs4143370|rs77218221|rs12482371, and the haplotypes CATGA and CACGG of LD block rs77699734|rs11911469|rs1893650|rs34904192|rs928883 were significantly associated with CRC risk. Conclusion This study revealed that MIR155HG SNPs were associated with CRC susceptibility and could be predictive biomarkers for CRC risk.