Effects on histologic subgroup, race, and BMI in 2,110 breast cancer patient: Results from single institution in Georgia

التفاصيل البيبلوغرافية
العنوان: Effects on histologic subgroup, race, and BMI in 2,110 breast cancer patient: Results from single institution in Georgia
المؤلفون: Joe Ensor, Elizabeth Mh Kim, Cynthia Lynch, Jonathan Ramey, Sramila Aithal, AT Johnson, Daniel W. Nixon, Ricardo H. Alvarez, K Rados, Rebecca Rollins, H Pabbathi, Rachel Pannell, Damien Hansra, John Edward McKnight, Eugene R Ahn
المصدر: Journal of Clinical Oncology. 37:e13112-e13112
بيانات النشر: American Society of Clinical Oncology (ASCO), 2019.
سنة النشر: 2019
مصطلحات موضوعية: Cancer Research, medicine.medical_specialty, Race (biology), Breast cancer, Oncology, business.industry, Internal medicine, medicine, Racial group, Single institution, business, medicine.disease
الوصف: e13112 Background: Disparities in breast cancer (BC) care still clearly exist among Whites (W) and African-Americans (AA) racial groups. These disparities resulting in higher mortality among AA compared to W. The objective of this analysis was to estimate the prevalence of BC subtypes in a population-based sample of BC cases, collected in a Breast Cancer Database (BCD) and to examine correlations with demographic and clinicopathologic variables and patient survival. Methods: retrospective analysis of patients registered at BCD was performed. Pts with BC were analyzed for differences in survival based on histologic subgroup (HS), race and BMI. Median Kaplan Meyer estimate for potential follow-up was 13.1 months with 95% CI (10.6, 15.0). Univariate and multivariate analysis were used to identify factors associated with demographic and cancer biology variables. Results: A total of 2,110 patients were registered at BCD and were available for this analysis.The median age at diagnosis was 50.8 years with 95% CI of (50.2, 51.0). 50% were W and 46.6% were AA. HS were classified by immunohistochemistry CLIA central lab, ER+ 61.1%, HER2+ 21.8% and TNBC 17%.Fisher’s exact test showed statistically difference in HS distribution among the races (p < 0.0001); 25% and 11.7% TNBC, for AA and W, respectively. The mean BMI was 29.0 with 95% CI of (29.6, 30.2). BMI characteristics were obese 47.2%, overweight 28.6% and normal 22.2%. Fisher’s exact test showed statistically difference in BMI distribution among the races, 57% and 39% obesity, for AA and W, respectively (p < 0.0001). Log-rank test showed that 2-years OS is worse for TNBC (48%), than for ER+ (72%) and HER2+ (75%). In the multivariable model AA survival was statistically inferior than for W ( p= 0.0094). Cox proportional hazard model was constructed to assess the effect of age, BMI, race and HS (Table). Conclusions: This single institution analysis demonstrated a statistically differences between TNBC, AA, and abnormal BMI as poor prognostic factors in BC pts impacting OS. Further research should investigate how to improve care for AA women who are at higher risk for breast cancer mortality. [Table: see text]
تدمد: 1527-7755
0732-183X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::88445e7887ae7de8a0f5a81088e0e65eTest
https://doi.org/10.1200/jco.2019.37.15_suppl.e13112Test
رقم الانضمام: edsair.doi...........88445e7887ae7de8a0f5a81088e0e65e
قاعدة البيانات: OpenAIRE