Disparities in cancer risk management among BRCA carriers across a diverse sample of young black, Hispanic, and non-Hispanic white breast cancer survivors.

2016 ◽  
Vol 34 (18_suppl) ◽  
pp. LBA1504-LBA1504 ◽  
Author(s):  
Tuya Pal ◽  
Deborah Cragun ◽  
Courtney Lewis ◽  
Devon Bonner ◽  
Lucia P Camperlengo ◽  
...  

LBA1504 Background: Rates of risk-reducing bilateral mastectomy (RRM) or risk-reducing prophylactic oophorectomy (RRSO) among BRCA carriers are based on studies of non-Hispanic whites (NHW), with little known among blacks or Hispanics. Methods: A population-based sample of NHW, black, and Hispanic women diagnosed with invasive BC < age 50 in 2009-12 were recruited through the Florida State Cancer Registry and completed a baseline survey. Among the subset of BRCA carriers, we compared risk management for: 1) ovarian cancer (OC) through RRSO; and 2) BC through RRM or MRI screening, by calculating percentages and conducting logistic regression to control for other variables. Results: Of 1570 participants, 884 reported BRCA testing. Of the 91 BRCA carriers, 1) RRSO was 71% (36/51) among NHW, 32% (9/28) among blacks, and 83% (10/12) among Hispanics; 2) either breast MRI or RRM was 98% (50/51) among NHW, 85.7% (24/28) among blacks, and 100% (12/12) among Hispanics. BC risk management modality differed across groups, with lower rates of RRM among blacks (67%) compared to Hispanics (83%) and NHW (94%). After controlling for age at enrollment, time since diagnosis, income, family history of BC, family history of OC and private insurance at diagnosis: 1) Hispanics and NHW were significantly more likely than blacks to have RRSO (p = 0.01 and 0.02 respectively); and 2) NHW were also significantly more likely than blacks to have RRM (p = 0.03), although Hispanic race approached statistical significance (p = 0.10). Conclusions: The racial disparities in uptake of RRSO observed among blacks is particularly concerning given that RRSO is strongly recommended as the main OC prevention option due to the absence of effective OC early detection methods. The benefit from genetic testing comes from uptake of cancer risk management options, rather from testing itself. Future studies are needed to better understand and develop methods to improve cancer risk management practices across all populations.

2005 ◽  
Vol 23 (36) ◽  
pp. 9319-9328 ◽  
Author(s):  
Katrina Armstrong ◽  
Barbara Weber ◽  
Peter A. Ubel ◽  
Nikki Peters ◽  
John Holmes ◽  
...  

Purpose Women with BRCA1/2 mutations are faced with complex decisions about breast and ovarian cancer risk management. This study was conducted to determine the effect of a tailored decision support system (DSS) that provides individualized survival and cancer incidence curves specific to expected outcomes of alternative management strategies. Patients and Methods This was a double-blind, randomized controlled trial of 32 women with BRCA1/2 mutations. Primary outcome measures were decision satisfaction, cancer anxiety, perceptions of cancer risk given alternative management strategies, and management decisions. Results Twenty-seven women completed a 6-week follow-up. Women in the intervention arm (n = 13) reported significantly higher decision satisfaction at follow-up than women in the control arm (n = 14; adjusted mean difference, 9.7; P < .0005). The effect of the DSS was greater among women with low cancer anxiety at baseline than women with high cancer anxiety at baseline (P = .01 for interaction). However, the DSS did not significantly alter cancer anxiety at follow-up, perceptions of cancer risk given alternative management strategies, or management decisions. Conclusion The presentation of individualized survival and incidence curves for alternative management options improves satisfaction about cancer risk management decisions among women with BRCA1/2 mutations without increasing anxiety or changing management decisions. The benefit of the DSS is greatest among women with relatively low cancer-related anxiety at baseline.


2020 ◽  
Author(s):  
Leann A Lovejoy ◽  
Clesson E Turner ◽  
Craig D Shriver ◽  
Rachel E Ellsworth

Abstract Background The majority of active duty service women (ADS) are young, have access to healthcare, and meet fitness standards set by the U.S. military, suggesting that ADS represent a healthy population at low risk of cancer. Breast cancer is, however, the most common cancer in ADS and may have a significant effect on troop readiness with lengthy absence during treatment and inability to return to duty after the treatment. The identification of unaffected ADS who carry germline mutations in cancer predisposition genes (“previvors”) would provide the opportunity to prevent or detect cancer at an early stage, thus minimizing effects on troop readiness. In this study, we determined (1) how many high-risk ADS without cancer pursued genetic testing, (2) how many previvors employed risk-reducing strategies, and (3) the number of undiagnosed previvors within an ADS population. Methods The Clinical Breast Care Project (protocol WRNMMC IRB #20704) database of the Murtha Cancer Center/Walter Reed National Military Medical Center was queried to identify all ADS with no current or previous history of cancer. Classification as high genetic risk was calculated using National Comprehensive Cancer Network 2019 guidelines for genetic testing for breast, ovary, colon, and gastric cancer. The history of clinical genetic testing and risk-reducing strategies was extracted from the database. Genomic DNA from ADS with blood specimens available for research purposes were subjected to next-generation sequencing technologies using a cancer predisposition gene panel. Results Of the 336 cancer-free ADS enrolled in the Clinical Breast Care Project, 77 had a family history that met National Comprehensive Cancer Network criteria for genetic testing for BRCA1/2 and 2 had a family history of colon cancer meeting the criteria for genetic testing for Lynch syndrome. Of the 28 (35%) high-risk women who underwent clinical genetic testing, 11 had pathogenic mutations in the breast cancer genes BRCA1 (n = 5), BRCA2 (n = 5), or CHEK2 (n = 1). Five of the six ADS who had a relative with a known pathogenic mutation were carriers of the tested mutation. All of the women who had pathogenic mutations detected through clinical genetic testing underwent prophylactic double mastectomy, and three also had risk-reducing salpingo-oophorectomy. Two (6%) of the 33 high-risk ADS tested only in the research setting had a family history of breast/ovarian cancer and carried pathogenic mutations: one carried a BRCA2 mutation, whereas the other carried a mutation in the colon cancer predisposition gene PMS2. No mutations were detected in the 177 low-risk women tested in the research setting. Discussion Within this unaffected cohort of ADS, 23% were classified as high risk. Although all of the previvors engaged in risk-reduction strategies, only one-third of the high-risk women sought genetic testing. These data suggest that detailed family histories of cancer should be collected in ADS and genetic testing should be encouraged in those at high risk. The identification of previvors and concomitant use of risk-reduction strategies may improve health in the ADS and optimize military readiness by decreasing cancer incidence.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johanna Tolksdorf ◽  
Michael W. Kattan ◽  
Stephen A. Boorjian ◽  
Stephen J. Freedland ◽  
Karim Saba ◽  
...  

Abstract Background Online clinical risk prediction tools built on data from multiple cohorts are increasingly being utilized for contemporary doctor-patient decision-making and validation. This report outlines a comprehensive data science strategy for building such tools with application to the Prostate Biopsy Collaborative Group prostate cancer risk prediction tool. Methods We created models for high-grade prostate cancer risk using six established risk factors. The data comprised 8492 prostate biopsies collected from ten institutions, 2 in Europe and 8 across North America. We calculated area under the receiver operating characteristic curve (AUC) for discrimination, the Hosmer-Lemeshow test statistic (HLS) for calibration and the clinical net benefit at risk threshold 15%. We implemented several internal cross-validation schemes to assess the influence of modeling method and individual cohort on validation performance. Results High-grade disease prevalence ranged from 18% in Zurich (1863 biopsies) to 39% in UT Health San Antonio (899 biopsies). Visualization revealed outliers in terms of risk factors, including San Juan VA (51% abnormal digital rectal exam), Durham VA (63% African American), and Zurich (2.8% family history). Exclusion of any cohort did not significantly affect the AUC or HLS, nor did the choice of prediction model (pooled, random-effects, meta-analysis). Excluding the lowest-prevalence Zurich cohort from training sets did not statistically significantly change the validation metrics for any of the individual cohorts, except for Sunnybrook, where the effect on the AUC was minimal. Therefore the final multivariable logistic model was built by pooling the data from all cohorts using logistic regression. Higher prostate-specific antigen and age, abnormal digital rectal exam, African ancestry and a family history of prostate cancer increased risk of high-grade prostate cancer, while a history of a prior negative prostate biopsy decreased risk (all p-values < 0.004). Conclusions We have outlined a multi-cohort model-building internal validation strategy for developing globally accessible and scalable risk prediction tools.


Author(s):  
Sule Olgun ◽  
Berna Dizer

Abstract Background Breast cancer risk increases by 80% in the presence of BRCA1 and BRCA2 gene mutations in the same family. In particular, a woman whose sister or mother has breast cancer has a 2- to 5-fold higher risk of developing breast cancer compared with other women. For this reason, recommendations should have been made regarding breast cancer prevention and/or early detection for women with first-degree family history of breast cancer. Aim The aim of this study was to evaluate the effect of health education, which was provided to first-degree female relatives of breast cancer patients, on their health beliefs and behaviors. Study Design and Methods The study sample included 50 women with a first-degree relative being treated for breast cancer in the chemotherapy and radiotherapy unit of a university hospital. A one-group pretest-posttest design was used. The pretest consisted of the health belief model scale and a questionnaire regarding the women’s sociodemographic information and breast cancer screening behaviors. After the pretest, the patients received health education regarding breast cancer risk factors and screening methods. The posttest was conducted 3 weeks after the education using the same assessment tools. Results After education, there were statistically significant increases in rates of practicing breast self-examination, having clinical breast examinations, and undergoing breast ultrasound/mammography compared with pretest results. Conclusions Health workers should possess knowledge and experience about breast cancer which will enable them to effectively undertake an educational role, especially for high-risk groups such as women with first-degree family history of breast cancer.


2008 ◽  
Vol 123 (5) ◽  
pp. 1154-1159 ◽  
Author(s):  
Jiyoung Ahn ◽  
Roxana Moslehi ◽  
Stephanie J. Weinstein ◽  
Kirk Snyder ◽  
Jarmo Virtamo ◽  
...  

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zheng-Ju Ren ◽  
De-Hong Cao ◽  
Qin Zhang ◽  
Peng-Wei Ren ◽  
Liang-Ren Liu ◽  
...  

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