Objective Genetic predisposition is responsible for 5–10% of breast cancer, 10% of ovarian cancer and 2–5% of uterine cancer. The study objective was to compare genetic counseling and testing referral rates among women with breast cancer that met NCCN referral guidelines to the referral rates among women with gynecologic cancers and determine predictors of referral. Methods Utilizing an institutional tumor registry database, patients from an academic women's oncology program were identified who met a subset of NCCN guidelines for genetic referral between 2004 and 2010. Patients diagnosed with ovarian cancer, breast cancer ≤50 years of age, or uterine cancer <50 years of age were included. A retrospective electronic chart review was conducted to evaluate for a genetic referral and uptake of genetic testing. Results 820 women were included (216 uterine, 314 breast, and 290 ovarian cancer). The overall genetic referral rate was 21.7%. 34% of eligible breast cancer patients were referred compared to 13.4% of uterine cancer and 14.5% ofovarian cancer patients (p < 0.0001). Younger age, breast cancer diagnosis, family history and earlier stage were all significant referral predictors. The odds of being referred increased with the number of affected family members. 70.8% of referred patients, consulted with genetics. Among those who consulted with genetics, 95.2% underwent testing. Conclusions Although increasing, genetic counseling remains underutilized across cancer diagnosis. Women with breast cancer are more likely to be referred than women with gynecologic cancers. Younger age, earlier stage and positive family history appear to be predictive of referral for genetic evaluation.

Objective There is increasing pre-clinical and clinical evidence that metformin, a commonly used diabetes medication, has a protective effect in cancer. The aim of this review is to discuss metformin's anti-cancer molecular mechanisms of action and to summarize the current literature demonstrating metformin's potential in gynecologic cancer prevention and treatment. Methods A PubMed search was conducted combining the keywords “metformin” with “neoplasm”, “uterine neoplasms”, “ovarian neoplasms”, and “uterine cervical neoplasms”. Studies published in English between 1994 and 2014 were included. Results Pre-clinical studies in endometrial, ovarian, and cervical cancer suggest that metformin inhibits the growth of cancer cells. The primary molecular mechanism mediating this effect appears to be the activation of AMP-activated protein kinase (AMPK) and the subsequent inhibition of mammalian targets of rapamycin (mTOR). The pre-clinical findings are augmented by clinical studies indicating that metformin use is associated with a reduced risk of cancer and improved survival in diabetic women with ovarian and endometrial cancer. No clinical analyses have evaluated metformin use and cervical cancer. Overall, the data showing a favorable effect of metformin is strongest for endometrial and ovarian cancer and prospective clinical testing is ongoing in these two malignancies. Conclusions Numerous clinical studies have reported an association between metformin use by diabetic patients and improved outcomes in gynecologic cancers. In addition, pre-clinical reports have identified plausible biological mechanisms to explain the molecular mechanism of action of metformin in cancer. However, the most important question remains unanswered: Will metformin be effective against cancer in patients without diabetes? Until this question is answered with prospective clinical testing, the role of metformin in the treatment or prevention of gynecologic malignancies remains theoretical and the clinical use of metformin as a cancer therapeutic is experimental.

Genetic counseling and testing is being underutilized in women who meet NCCN referral guidelines. Age and family history were noted to be predictive of referral for genetic evaluation. Further research is needed to determine additional factors that may impact not only referral rates but subsequent care for women with possible genetic predispositions to cancer.