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Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

ABSTRACT: PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant study of 310 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.

ORGANISM(S): Homo sapiens

SUBMITTER: Hatzis C

PROVIDER: S-ECPF-GEOD-25055 | biostudies-other | 2011 May

REPOSITORIES: biostudies-other

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Project description:CONTEXT:Prediction of high probability of survival from standard cancer treatments is fundamental for individualized cancer treatment strategies. OBJECTIVE:To develop a predictor of response and survival from chemotherapy for newly diagnosed invasive breast cancer. DESIGN, SETTING, AND PATIENTS:Prospective multicenter study conducted from June 2000 to March 2010 at the M. D. Anderson Cancer Center to develop and test genomic predictors for neoadjuvant chemotherapy. Patients were those with newly diagnosed ERBB2 (HER2 or HER2/neu)-negative breast cancer treated with chemotherapy containing sequential taxane and anthracycline-based regimens (then endocrine therapy if estrogen receptor [ER]-positive). Different predictive signatures for resistance and response to preoperative (neoadjuvant) chemotherapy (stratified according to ER status) were developed from gene expression microarrays of newly diagnosed breast cancer (310 patients). Breast cancer treatment sensitivity was then predicted using the combination of signatures for (1) sensitivity to endocrine therapy, (2) chemoresistance, and (3) chemosensitivity, with independent validation (198 patients) and comparison with other reported genomic predictors of chemotherapy response. MAIN OUTCOME MEASURES:Distant relapse-free survival (DRFS) if predicted treatment sensitive and absolute risk reduction ([ARR], difference in DRFS between 2 predicted groups) at median follow-up (3 years). RESULTS:Patients in the independent validation cohort (99% clinical stage II-III) who were predicted to be treatment sensitive (28%) had 56% (95% CI, 31%-78%) probability of excellent pathologic response and DRFS of 92% (95% CI, 85%-100%), with an ARR of 18% (95% CI, 6%-28%). Survival was predicted in ER-positive (30% predicted sensitive; DRFS, 97% [95% CI, 91%-100%]; ARR, 11% [95% CI, 0.1%-21%]) and ER-negative (26% predicted sensitive; DRFS, 83% [95% CI, 68%-100%]; ARR, 26% [95% CI, 4%-48%]) subsets and was significant in multivariate analysis. Other genomic predictors showed paradoxically worse survival for patients predicted to be responsive to chemotherapy. CONCLUSION:A genomic predictor combining ER status, predicted chemoresistance, predicted chemosensitivity, and predicted endocrine sensitivity identified patients with high probability of survival following taxane and anthracycline chemotherapy.

Project description:Importance:Although most chemotherapies are dosed on body surface area or weight, body composition (ie, the amount and distribution of muscle and adipose tissues) is thought to be associated with chemotherapy tolerance and adherence. Objectives:To evaluate whether body composition is associated with relative dose intensity (RDI) on anthracycline and taxane-based chemotherapy or hematologic toxic effects and whether lower RDI mediates the association of adiposity with mortality. Design, Setting, and Participants:An observational cohort study with prospectively collected electronic medical record data was conducted at Kaiser Permanente Northern California, a multicenter, community oncology setting within an integrated health care delivery system. Participants included 1395 patients with nonmetastatic breast cancer diagnosed between January 1, 2005, and December 31, 2013, and treated with anthracycline and taxane-based chemotherapy. Data analysis was performed between February 25 and September 4, 2019. Exposures:Intramuscular, visceral, and subcutaneous adiposity as well as skeletal muscle were evaluated from clinically acquired computed tomographic scans at diagnosis. Main Outcomes and Measures:The primary outcome was low RDI (<0.85), which is the ratio of delivered to planned chemotherapy dose, derived from infusion records; in addition, hematologic toxic effects were defined based on laboratory test values. To evaluate associations with overall and breast cancer-specific mortality, logistic regression models adjusted for age and body surface area were fit as well as Cox proportional hazards models adjusted for age, race/ethnicity, adiposity, Charlson comorbidity index score, and tumor stage and subtype. The mediation proportion was computed using the difference method. Results:The mean (SD) age at diagnosis of the 1395 women included in the study was 52.8 (10.2) years. Greater visceral (odds ratio [OR], 1.19; 95% CI, 1.02-1.39 per SD) and intramuscular (OR, 1.16; 95% CI, 1.01-1.34 per SD) adiposity were associated with increased odds of RDI less than 0.85. Greater muscle mass was associated with a decreased odds of hematologic toxic effects (OR, 0.84; 95% CI, 0.71-0.98 per SD). Relative dose intensity less than 0.85 was associated with a 30% increased risk of death (hazard ratio, 1.30; 95% CI, 1.02-1.65). Lower RDI partially explained the association of adiposity with breast cancer-specific mortality (mediation proportion, 0.20; 95% CI, 0.05-0.55). Conclusions and Relevance:Excess adiposity, presenting as larger visceral or intramuscular adiposity, was associated with lower RDI. Lower RDI partially mediated the association of adiposity with worse breast cancer-specific survival. Body composition may help to identify patients likely to experience toxic effects and subsequent dose delays or reductions, which could compromise chemotherapeutic efficacy.

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Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

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