The relationship between the predicted risk of death and psychosocial functioning among women with early-stage breast cancer

Author(s):  
Kelly A. Metcalfe ◽  
Alexandra Candib ◽  
Vasily Giannakeas ◽  
Andrea Eisen ◽  
Aletta Poll ◽  
...  
2017 ◽  
Vol 83 (8) ◽  
pp. 887-894 ◽  
Author(s):  
Ameliay Merrill ◽  
Doris R. Brown ◽  
Heidi D. Klepin ◽  
Edward A. Levine ◽  
Marissa Howard-Mcnatt

Prospective studies have shown equal outcomes after mastectomy or breast conservation in patients with invasive breast cancer; however, many of these studies excluded elderly patients. We identified patients in their eighties and nineties with clinical stage 0 to II breast cancer undergoing mastectomy or lumpectomy with or without radiation from the prospective sentinel lymph node database at Wake Forest Baptist Health and analyzed their treatment and survival. Of 92 patients, 24 (26.1%) underwent mastectomy, 22 (23.9%) lumpectomy with radiation, and 46 (50.0%) lumpectomy alone. Significant differences were noted in tumor size (P = 0.018), nodal status (P = 0.013), and stage (P = 0.011) between the groups. Only 7.6 per cent of patients had chemotherapy, whereas 51.1 per cent took antiestrogen therapy. Recurrence occurred in 11 patients. In univariate analysis, overall survival did not differ by surgery. Age was the only factor that increased risk of death (HR = 1.19, P = 0.028). In this age group, neither tumor factors nor the type of local treatment significantly influenced overall survival. Octogenarians and nonagenarians with early-stage breast cancer undergoing breast-conserving surgery with or without radiation have equivalent survival to patients having a mastectomy.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1010-1010
Author(s):  
Tarah Jean Ballinger ◽  
Guanglong Jiang ◽  
Fei Shen ◽  
Kathy Miller ◽  
Bryan P. Schneider

1010 Background: Both Black race and obesity are associated with worse survival in early stage breast cancer. Obesity disproportionately affects Black women; however, the degree this contributes to racial disparities in breast cancer remains unclear. Prior work evaluated heterogeneous populations or used self- reported race, rather than genetic ancestry. African ancestry is associated with higher BMI and worse survival in breast cancer; however, the intersection between genetic ancestry and obesity on survival outcomes remains unknown. Methods: We analyzed data from the adjuvant trial E5103. Patients with high risk, HER2 negative breast cancer received doxorubicin/cyclophosphamide x 4, followed by weekly paclitaxel x 12, with or without bevacizumab. Genetic ancestry was determined on the 2,854 patients with available germline DNA, BMI, and outcome data using principal components from a genome-wide array. The primary objective assessed impact of BMI on DFS and OS by ancestry. Multivariate Cox proportional hazard models evaluated correlation between continuous or binary BMI and survival in African (AA) and European (EA) Americans. Results: 13.4% of patients were genetically classified as AA and 86.6% as EA. Higher continuous BMI was significantly associated with worse DFS and OS only in AAs (DFS: HR = 1.25 95% CI 1.07-1.46, p = 0.004; OS: HR = 1.38 95% CI 1.10-1.73, p = 0.005); not in EAs (DFS HR = 0.97 95% CI 0.90-1.05, p = 0.50; OS HR = 1.03 95% CI 0.93-1.14, p = 0.52). By disease subtype, BMI was associated with worse outcomes only in AAs with ER+, and not TNBC. By categorical BMI, WHO class III obesity (³ 40) significantly associated with worse DFS and OS only in AAs (DFS HR = 1.98, p = 0.010; OS HR = 2.07, p = 0.064), not in EAs (DFS HR = 0.97, p = 0.86; OS HR = 1.28, p = 0.30). Proportion of African ancestry (proAA) was associated with higher BMI and worse outcomes in the total population; however, within AAs there was no significant interaction between proAA and BMI on DFS (HR = 0.36, p = 0.06) or OS (HR = 0.38, p = 0.24). In AAs, BMI remained associated with DFS (HR = 2.78, p = 0.019), suggesting higher BMI is associated with worse DFS regardless of proAA. Coefficients for the interaction term indicate that as proAA increases the impact of BMI on outcome is lessened. Conclusions: Higher BMI is significantly associated with worse breast cancer outcomes in women of African ancestry in E5103, but not in those of European ancestry. Categorically, this association was significant only for severe obesity, indicating the relationship may depend on the degree of obesity. As proAA increased in AAs, the impact of BMI on outcome was lessened, suggesting other host factors may contribute more to obesity’s influence on outcome than genetics. Determination of the optimal populations for weight loss interventions will advance precision medicine efforts to impact racial disparities and outcomes in early stage breast cancer.


2009 ◽  
Vol 197 (6) ◽  
pp. 740-746 ◽  
Author(s):  
Peter J. Lovrics ◽  
Sylvie D. Cornacchi ◽  
Forough Farrokhyar ◽  
Anna Garnett ◽  
Vicky Chen ◽  
...  

2005 ◽  
Vol 14 (6) ◽  
pp. 1467-1479 ◽  
Author(s):  
Nancy K. Janz ◽  
Mahasin Mujahid ◽  
Paula M. Lantz ◽  
Angela Fagerlin ◽  
Barbara Salem ◽  
...  

2018 ◽  
Vol 36 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Ahmedin Jemal ◽  
Anthony S. Robbins ◽  
Chun Chieh Lin ◽  
W. Dana Flanders ◽  
Carol E. DeSantis ◽  
...  

Purpose To estimate the contribution of differences in demographics, comorbidity, insurance, tumor characteristics, and treatment to the overall mortality disparity between nonelderly black and white women diagnosed with early-stage breast cancer. Patients and Methods Excess relative risk of all-cause death in black versus white women diagnosed with stage I to III breast cancer, expressed as a percentage and stratified by hormone receptor status for each variable (demographics, comorbidity, insurance, tumor characteristics, and treatment) in sequentially, propensity-scored, optimally matched patients by using multivariable hazard ratios (HRs). Results We identified 563,497 white and black women 18 to 64 years of age diagnosed with stage I to III breast cancer from 2004 to 2013 in the National Cancer Data Base. Among women with hormone receptor–positive disease, who represented 78.5% of all patients, the HR for death in black versus white women in the demographics-matched model was 2.05 (95% CI, 1.94 to 2.17). The HR decreased to 1.93 (95% CI, 1.83 to 2.04), 1.54 (95% CI, 1.47 to 1.62), 1.30 (95% CI, 1.24 to 1.36), and 1.25 (95% CI, 1.19 to 1.31) when sequentially matched for comorbidity, insurance, tumor characteristics, and treatment, respectively. These factors combined accounted for 76.3% of the total excess risk of death in black patients; insurance accounted for 37.0% of the total excess, followed by tumor characteristics (23.2%), comorbidities (11.3%), and treatment (4.8%). Results generally were similar among women with hormone receptor–negative disease, although the HRs were substantially smaller. Conclusion Matching by insurance explained one third of the excess risk of death among nonelderly black versus white women diagnosed with early-stage breast cancer; matching by tumor characteristics explained approximately one fifth of the excess risk. Efforts to focus on equalization of access to care could substantially reduce ethnic/racial disparities in overall survival among nonelderly women diagnosed with breast cancer.


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