Mu class of Glutathione-S-transferase (GSTM) genes arrange in a tandem on chromosome 1p13.3. The relationship between genetic variants in the GSTM1-5 gene cluster and breast cancer is still ambiguous. In the present study, 17 tagging single-nucleotide polymorphisms (SNPs) covering the GSTMs cluster were originally selected and 11 validated SNPs were used for genotyping 921 cases and 711 controls. The association analyses were performed according to the absence or presence of GSTM1. In the GSTM1-/- group, the allele frequency of one SNP in GSTM3 was significantly different between cases and controls (P = 2.0 x 10(-4), corrected P = 0.001), with odds ratio of 1.75 (95% confidence interval, 1.26-2.44). The observed association in the GSTM1-/- group was successfully replicated in an independent population set (familial/early-onset breast cancer cases, n = 267; community-based controls, n = 667). The combined P values were robust (10(-6)) and the false positive report probability (FPRP) values were low. In contrast, no susceptibility allele/haplotype was identified when the GSTM1 gene was present. Based on epidemiological observations, we further identified two genetic variants in the GSTM3 locus accounting for differential expression of GSTM3 in normal breast tissues by such means as altering binding of RNA-pol-II. Protective genotypes were correlated with higher GSTM3 expression levels. In conclusion, SNPs/haplotypes in the GSTM3 gene within the GSTMs gene cluster are likely to contribute to breast cancer risk when the GSTM1 is absent. We infer that GSTM3 catalyzing ability in normal breast tissue might protect against breast carcinogenesis.
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Heliyon
January 2025
BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Australia.
Breast-conserving surgery accompanied by adjuvant radiotherapy is the standard of care for patients with early-stage breast cancer. However, re-excision is reported in 20-30 % of cases, largely because of close or involved tumor margins in the specimen. Several intraoperative tumor margin assessment techniques have been proposed to overcome this issue, however, none have been widely adopted.
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