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Browsing by Author "Blackford, Amanda L."
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Item A risk prediction tool for individuals with a family history of breast, ovarian, or pancreatic cancer: BRCAPANCPRO(Springer Nature, 2021) Blackford, Amanda L.; Childs, Erica J.; Porter, Nancy; Petersen, Gloria M.; Rabe, Kari G.; Gallinger, Steven; Borgida, Ayelet; Syngal, Sapna; Cote, Michele L.; Schwartz, Ann G.; Goggins, Michael G.; Hruban, Ralph H.; Parmigiani, Giovanni; Klein, Alison P.; Epidemiology, Richard M. Fairbanks School of Public HealthIntroduction: Identifying families with an underlying inherited cancer predisposition is a major goal of cancer prevention efforts. Mendelian risk models have been developed to better predict the risk associated with a pathogenic variant of developing breast/ovarian cancer (with BRCAPRO) and the risk of developing pancreatic cancer (PANCPRO). Given that pathogenic variants involving BRCA2 and BRCA1 predispose to all three of these cancers, we developed a joint risk model to capture shared susceptibility. Methods: We expanded the existing framework for PANCPRO and BRCAPRO to jointly model risk of pancreatic, breast, and ovarian cancer and validated this new model, BRCAPANCPRO on three data sets each reflecting the common target populations. Results: BRCAPANCPRO outperformed the prior BRCAPRO and PANCPRO models and yielded good discrimination for differentiating BRCA1 and BRCA2 carriers from non-carriers (AUCs 0.79, 95% CI: 0.73-0.84 and 0.70, 95% CI: 0.60-0.80) in families seen in high-risk clinics and pancreatic cancer family registries, respectively. In addition, BRCAPANCPRO was reasonably well calibrated for predicting future risk of pancreatic cancer (observed-to-expected (O/E) ratio = 0.81 [0.69, 0.94]). Discussion: The BRCAPANCPRO model provides improved risk assessment over our previous risk models, particularly for pedigrees with a co-occurrence of pancreatic cancer and breast and/or ovarian cancer.Item Changes in breast density and circulating estrogens in postmenopausal women receiving adjuvant anastrozole(AACR, 2011-12) Prowell, Tatiana M.; Blackford, Amanda L.; Byrne, Celia; Khouri, Nagi F.; Dowsett, Mitchell; Folkerd, Elizabeth; Tarpinian, Karineh S.; Powers, Pendleton P.; Wright, Laurie A.; Donehower, Michele G.; Jeter, Stacie C.; Armstrong, Deborah K.; Emens, Leisha A.; Fetting, John H.; Wolff, Antonio C.; Garrett-Mayer, Elizabeth; Skaar, Todd C.; Davidson, Nancy E.; Stearns, VeredFactors associated with an increased risk of breast cancer include prior breast cancer, high circulating estrogens, and increased breast density. Adjuvant aromatase inhibitors are associated with a reduction in incidence of contralateral breast cancer. We conducted a prospective, single-arm, single-institution study to determine whether use of anastrozole is associated with changes in contralateral breast density and circulating estrogens. Eligible patients included postmenopausal women with hormone receptor-positive early-stage breast cancer who had completed local therapy, had an intact contralateral breast, and were recommended an aromatase inhibitor as their only systemic therapy. Participants received anastrozole 1 mg daily for 12 months on study. We assessed contralateral breast density and serum estrogens at baseline, 6, and 12 months. The primary endpoint was change in contralateral percent breast density from baseline to 12 months. Secondary endpoints included change in serum estrone sulfate from baseline to 12 months. Fifty-four patients were accrued. At 12 months, compared with baseline, there was a nonstatistically significant reduction in breast density (mean change: -16%, 95% CI: -30 to 2, P = 0.08) and a significant reduction in estrone sulfate (mean change: -93%, 95% CI: -94 to -91, P < 0.001). Eighteen women achieved 20% or greater relative reduction in contralateral percent density at 12 months compared with baseline; however, no measured patient or disease characteristics distinguished these women from the overall population. Large trials are required to provide additional data on the relationship between aromatase inhibitors and breast density and, more importantly, whether observed changes in breast density correlate with meaningful disease-specific outcomes.