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Reproductive factors associated with breast cancer risk may also affect the prognosis. This study aimed to evaluate the associations of multiple reproductive factors with breast cancer prognosis and the modifying effects of menopausal status. We obtained data from 3805 breast cancer patients recruited between October 2008 and June 2016 in Guangzhou. The subjects were followed up until 30 June 2018. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated using multivariate Cox models to estimate the associations. It was found that there were U‐shaped patterns for the associations of age at first birth and durations from first/last birth to diagnosis with breast cancer prognosis. The adverse effects of old age at first birth [>30 years vs 23‐30 years, HR (95% CI): 1.59 (1.01‐2.50)] and long intervals from first [≥20 years vs 10‐19 years, HR (95% CI): 1.55 (1.07‐2.27)] or last [≥20 years vs 10‐19 years, HR (95% CI): 1.63 (1.08‐2.46)] birth to diagnosis on progression‐free survival (PFS) were significantly more pronounced among premenopausal women. Additionally, long interval (>5 years) between first and second birth was associated with a better PFS [HR (95% CI): 0.64 (0.42‐0.97)]. These results suggested that age at first birth, durations from first/last birth to diagnosis, and intervals between first and second birth should be taken into account when following the patients and assessing the prognosis of breast cancer, particularly for premenopausal patients. These findings would also have implications for further insight into the mechanisms of breast cancer development., This study found U‐shaped patterns for the associations of age at first birth and durations from first/last birth to diagnosis with breast cancer prognosis, particularly for premenopausal women; a relatively long interval between first and second birth may benefit prognosis of breast cancer.

Allelic expression imbalance (AEI) has been applied to indicate potential function of genetic variants. Combining earlier results from global differential allele-specific expression analysis and genome wide association studies (GWASs), we select the single nuclear polymorphisms (SNPs) exhibiting AEI phenomenon located in breast cancer susceptibility chromosome regions, and evaluate their associations with breast cancer risk and survival. We examined the genotypes of 10 AEI SNPs in 1551 incident breast cancer cases and 1605 age-frequency matched controls from Guangzhou, China. In total, 1168 cases were followed up. MUC16 rs2591592 (AT/AA vs. TT) was associated with an increased risk of premenopausal breast cancer (OR [95%CI]: 1.30 [1.07, 1.57]); SLAMF1 rs1061217 (CT/TT vs. CC) decreased the risk of breast cancer among overweight women (OR [95%CI]: 0.74 [0.57, 0.96]) but increased the risk among normal-weight women (OR [95%CI]: 1.15 [1.01, 1.39]); ZNF331 rs8109631 (AG/AA vs. GG) and CHRAC1 rs10216653 (GC/GG vs. CC) were associated with progression free survival among breast cancer patients with negative ER/PR status and higher clinical stage (HRs [95%CIs]: 2.39 [1.14, 5.00], 1.85 [1.03, 3.32], and 0.49 [0.30, 0.80], respectively). ZNF331 rs8109631 and CHRAC1 rs10216653 were further found to represent several functional SNPs through bioinformatic analysis. In conclusion, our findings demonstrated suggestive associations of AEI polymorphisms with breast cancer risk (MUC16 rs2591592 and SLAMF1 rs1061217) and prognosis (ZNF331 rs8109631 and CHRAC1 rs10216653). © 2016 Wiley Periodicals, Inc.

Genetic polymorphisms of fibroblast growth factor receptor 2 (FGFR2) have been demonstrated to be associated with breast cancer risk, presumably through elevation of FGFR2 expression. Fibroblast growth factor 1 (FGF1) and RNA binding protein fox-1 homolog 2 (RBFOX2), which are functionally related to FGFR2, may also associate with breast cancer risk. We investigated the associations between breast cancer risk and the polymorphisms of FGFR2 rs2981582, FGF1 rs250108, and RBFOX2 rs2051579 among 839 incident breast cancer cases and 863 age-matched controls in the Guangzhou Breast Cancer Study. Stratified odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by estrogen receptor (ER)/progesterone receptor (PR) status using multivariate logistic regression. FGFR2 rs2981582 was confirmed to be significantly associated with the risk of ER-positive but not ER-negative breast cancer. In contrast, FGF1 rs250108 was significantly associated with the risk of ER-negative breast cancer (OR (95% CI) = 1.68 (1.20-2.35) for CT + TT vs. CC genotype) but not ER-positive breast cancer. CA + AA genotypes at RBFOX2 rs2051579 were associated with a reduced risk of ER-negative (0.71 (0.52-0.97)) but not ER-positive breast cancer compared to the CC genotype. Similar results were observed when differentiating breast cancer cases by PR status. Neither of the pairs between the three SNPs had a significant interaction on breast cancer risk. Our findings show a suggestively stronger association between FGFR2 rs2981582 and ER-positive breast cancer risk and suggest a greater association of FGF1 rs250108 and RBFOX2 rs2051579 with ER-negative compared to ER-positive breast cancer.

Background Immunoglobulin (Ig)A antibody of Epstein–Barr virus (EBV) was found to associate with breast cancer (BC), whereas IgA positivity was related to a series of genetic markers in the genes of homologous recombination repair system (HRRs). We assessed the associations of the polymorphisms in HRR genes with the risk and survival of BC. Methods A case–control study was conducted with 1551 bc cases and 1605 age-matched healthy controls between October 2008 and March 2012 in the Guangzhou Breast Cancer Study (GZBCS), China, and the case population were followed up until 31 January 2016. Five single nucleotide polymorphisms of candidate genes in HRR system were genotyped. Odds ratios (ORs) and hazards ratios (HRs) were calculated using multivariate logistic regression and Cox proportional hazards regression to estimate the risk and prognostic effect, respectively. Results RFC1 rs6829064 (AA) was associated with an increased BC risk [OR = 1.35; 95% confidence interval (CI) = 1.06–1.73] compared to the wild genotype (GG). NRM rs1075496 (GT/TT versus GG) was associated with a worse progression-free survival (PFS) and the HR was 1.34 (95% CI = 1.01–1.78), particularly among advanced patients. LIG3 rs1052536 (CT/TT versus CC) was associated with a better PFS and the HR was 0.70 (95% CI = 0.53–0.93). However, RAD54L rs1710286 and RPA1 rs11078676 were not observed to be associated with either the risk or survival of BC. Conclusions The findings of the present study suggest that the polymorphisms in HRR genes were associated with BC risk (RFC1 rs6829064) and prognosis (NRM rs1075496 and LIG3 rs1052536), whereas RAD54L rs1710286 and RPA1 rs11078676 had null associations with BC.