Acceptance of adjuvant chemotherapy recommendations in early-stage hormone-positive breast cancer.

BACKGROUND: The role of systemic chemotherapy in early-stage, estrogen receptor (ER)-positive, and Her2-negative breast cancer remains an area of active investigation. The decision to recommend chemotherapy is multifactorial, and some patients decline recommended chemotherapy. We sought to identify patient factors leading to refusal of adjuvant therapy. MATERIALS AND METHODS: Data were collected from National Comprehensive Cancer Network Outcomes database and used to identify patients with primary, unilateral, T1-T2, N0, ER+, Her2-disease diagnosed from 2005-2011. Patient and clinical characteristics were analyzed for associations with physician recommendation for chemotherapy and patient acceptance of chemotherapy. A logistic regression model was used to identify patient and tumor characteristics associated with recommendation for and acceptance of chemotherapy. RESULTS: A total of 329 patients were identified. Chemotherapy was recommended in 191 patients (58.1%) and not in 138 (41.9%). Young age (odds ratio [OR]: 3.9, 95% confidence interval [CI]: 1.2-12.7), large tumor size (6.69, 95% CI: 3.31-13.5), and high Oncotype DX scores (11.2, 95% CI: 4.5-27.9) were more likely to receive a recommendation. About 71 patients (37.1%) refused chemotherapy. Patients younger than age 50 (20.9, 95% CI: 2.5-172.0), larger tumor size (3.4, 95% CI: 1.3-8.7), Oncotype DX score > 31 (31.3, 95% CI: 3.3-295.0), privately insured (8.2, 95% CI: 1.9-34.7), and Hispanic ethnicity (5.2, 95% CI: 1.6-16.8) were more likely to accept chemotherapy. CONCLUSIONS: Physician recommendations for adjuvant chemotherapy for early-stage ER + breast cancer varied by commonly considered factors. Patient acceptance varied by similar factors but was also influenced by race and insurance status. This may be explained by cultural or social factors not well understood or not overcome by physician guidance.

Tumor response ratio predicts overall survival in breast cancer patients treated with neoadjuvant chemotherapy.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is commonly used to treat locally advanced breast cancer. Pathologic complete response (pCR) predicts improved overall survival (OS); however, prognosis of patients with partial response remains unclear. We evaluated whether tumor response ratio (TRR) is a better predictor of OS than current staging methods. METHODS: Using the National Comprehensive Cancer Network Breast Cancer Outcomes Database, we identified patients with stage I-III breast cancer who had NAC and pretreatment imaging at City of Hope (1997-2010). Patient demographics, tumor characteristics, and OS were analyzed. TRR was calculated as residual in-breast disease divided by size on pre-NAC imaging. Four TRR groups were stratified; TRR 0 (pCR), TRR > 0-0.4 (strong partial response, SPR), TRR > 0.4-1.0 (weak partial response, WPR), or TRR > 1.0 (tumor growth, TG). OS was estimated by the Kaplan-Meier method and tested by the log-rank test. Cox regression was performed to evaluate associations between OS and TRR in a multivariable analysis while controlling for potential confounders. RESULTS: There were 218 eligible patients identified; 59 (27 %) had pCR, 61 (28 %) SPR, 72 (33 %) WPR, and 26 (12 %) TG. Five-year OS decreased continuously with increasing TRR:pCR (90 %), SPR (79 %), WPR (66 %), and TG (60 %). TRR was the only measure that significantly predicted OS (p = 0.0035); pathologic stage (p = 0.23) and pre-NAC clinical tumor stage (cT) (p = 0.87) were not significant. TRR continued to be statistically significant by multivariable analysis (p = 0.016). CONCLUSIONS: TRR takes into account both pretreatment and residual disease and more accurately predicts OS than pathologic stage and pre-NAC cT. TRR may be useful to more accurately assess prognosis and OS in breast cancer patients undergoing NAC.