Predictors of Contralateral Breast Cancer in BRCA Negative Women

Breast cancer is the most common cancer diagnosis and second leading cause of death in women. Risk factors associated with breast cancer include: increased age, alcohol consumption, cigarette smoking, white race, physical inactivity, benign breast conditions, reproductive and hormonal factors, dietary factors, and family history. Hereditary breast and ovarian cancer syndrome (HBOC) is caused by mutations in the BRCA1 and BRCA2 genes. Women carrying a mutation in these genes are at an increased risk to develop a second breast cancer. Contralateral breast cancer is the most common second primary cancer in patients treated for a first breast cancer. Other risk factors for developing contralateral breast cancer include a strong family history of breast cancer, age of onset of first primary breast cancer, and if the first primary was a lobular carcinoma, which has an increased risk of being bilateral. A retrospective chart review was performed on a select cohort of women in an IRB approved database at MD Anderson Cancer Center. The final cohort contained 572 women who tested negative for a BRCA1 or BRCA2 mutation, had their primary invasive breast cancer diagnosed under the age of 50, and had a BRCAPro risk assessment number over 10%. Of the 572 women, 97 women developed contralateral breast cancer. A number of predictors of contralateral breast cancer were looked at between the two groups. Using univariable Cox Proportional Hazard model, thirteen statistically interesting risk factors were found, defined as having a p-value under 0.2. Multivariable stepwise Cox Proportional Hazard model found four statistically significant variables out of the thirteen found in the univariable analysis. In our study population, the incidence of contralateral breast cancer was 17%. Four statistically significant variables were identified. Undergoing a prophylactic mastectomy was found to reduce the risk of developing contralateral breast cancer, while not having a prophylactic mastecomy, a young age at primary diagnosis, having a positive estrogen receptor status of the primary tumor, and having a family history of breast cancer increased a woman’s risk to develop contralateral breast cancer.

Predictors of participation in genetic testing for hereditary breast and ovarian cancer

Up to 10% of all breast and ovarian cancers are attributable to mutations in cancer susceptibility genes. Clinical genetic testing for deleterious gene mutations that predispose to hereditary breast and ovarian cancer (HBOC) syndrome is available. Mutation carriers may benefit from following high-risk guidelines for cancer prevention and early detection; however, few studies have reported the uptake of clinical genetic testing for HBOC. This study identified predictors of HBOC genetic testing uptake among a case series of 268 women who underwent genetic counseling at The University of Texas M. D. Anderson Cancer Center from October, 1996, through July, 2000. Women completed a baseline questionnaire that measured psychosocial and demographic variables. Additional medical characteristics were obtained from the medical charts. Logistic regression modeling identified predictors of participation in HBOC genetic testing. Psychological variables were hypothesized to be the strongest predictors of testing uptake—in particular, one's readiness (intention) to have testing. Testing uptake among all women in this study was 37% (n = 99). Contrary to the hypotheses, one's actual risk of carrying a BRCA1 or BRCA2 gene mutation was the strongest predictor of testing participation (OR = 15.37, CI = 5.15, 45.86). Other predictors included religious background, greater readiness to have testing, knowledge about HBOC and genetic testing, not having female children, and adherence to breast self-exam. Among the subgroup of women who were at ≥10% risk of carrying a mutation, 51% (n = 90) had genetic testing. Consistent with the hypotheses, predictors of testing participation in the high-risk subgroup included greater readiness to have testing, knowledge, and greater self-efficacy regarding one's ability to cope with test results. Women with CES-D scores ≥16, indicating the presence of depressive symptoms, were less likely to have genetic testing. Results indicate that among women with a wide range of risk for HBOC, actual risk of carrying an HBOC-predisposing mutation may be the strongest predictor of their decision to have genetic testing. Psychological variables (e.g., distress and self-efficacy) may influence testing participation only among women at highest risk of carrying a mutation, for whom genetic testing is most likely to be informative. ^

Genetic variants in the mammalian target of rapamycin (mTOR) signaling pathway as predictors of survival and clinical response in women with ovarian cancer

Background. The mTOR pathway is commonly altered in human tumors and promotes cell survival and proliferation. Preliminary evidence suggests this pathway's involvement in chemoresistance to platinum and taxanes, first line therapy for epithelial ovarian cancer. A pathway-based approach was used to identify individual germline single nucleotide polymorphisms (SNPs) and cumulative effects of multiple genetic variants in mTOR pathway genes and their association with clinical outcome in women with ovarian cancer. ^ Methods. The case-series was restricted to 319 non-Hispanic white women with high grade ovarian cancer treated with surgery and platinum-based chemotherapy. 135 SNPs in 20 representative genes in the mTOR pathway were genotyped. Hazard ratios (HRs) for death and Odds ratios (ORs) for failure to respond to primary therapy were estimated for each SNP using the multivariate Cox proportional hazards model and multivariate logistic regression model, respectively, while adjusting for age, stage, histology and treatment sequence. A survival tree analysis of SNPs with a statistically significant association (p<0.05) was performed to identify higher order gene-gene interactions and their association with overall survival. ^ Results. There was no statistically significant difference in survival by tumor histology or treatment regimen. The median survival for the cohort was 48.3 months. Seven SNPs were significantly associated with decreased survival. Compared to those with no unfavorable genotypes, the HR for death increased significantly with the increasing number of unfavorable genotypes and women in the highest risk category had HR of 4.06 (95% CI 2.29–7.21). The survival tree analysis also identified patients with different survival patterns based on their genetic profiles. 13 SNPs on five different genes were found to be significantly associated with a treatment response, defined as no evidence of disease after completion of primary therapy. Rare homozygous genotype of SNP rs6973428 showed a 5.5-fold increased risk compared to the wild type carrying genotypes. In the cumulative effect analysis, the highest risk group (individuals with ≥8 unfavorable genotypes) was significantly less likely to respond to chemotherapy (OR=8.40, 95% CI 3.10–22.75) compared to the low risk group (≤4 unfavorable genotypes). ^ Conclusions. A pathway-based approach can demonstrate cumulative effects of multiple genetic variants on clinical response to chemotherapy and survival. Therapy targeting the mTOR pathway may modify outcome in select patients.^