Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers

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Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers. / Khan, Sabrina S; Karn, Thomas; Symmans, W Fraser; Rody, Achim; Müller, Volkmar; Holtrich, Uwe; Becker, Sven; Pusztai, Lajos; Hatzis, Christos.

In: BREAST CANCER RES TR, Vol. 149, No. 3, 02.2015, p. 789-97.

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@article{d4a57884c1a146cfb424b8013ba9ea73,
title = "Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers",
abstract = "A subset of early stage estrogen receptor (ER)-positive breast cancers considered {"}high risk{"} for recurrence with endocrine therapy alone by current genomic prognostic predictors, such as Oncotype DX, is no longer high risk after receiving adjuvant chemotherapy. We hypothesized that a recently described gene expression-based outcome predictor adjuvant chemotherapy and endocrine therapy sensitivity (ACES) could re-stratify these patients into high and low risk groups for relapse when treated with both chemo- and endocrine therapies. ACES involves four separate modules (endocrine sensitivity, chemotherapy sensitivity, chemotherapy resistance, and survival prediction) that yield a prediction for good or poor outcome with current standard of care multimodality therapy. ACES was applied to Affymetrix gene expression data from 2 retrospectively collected ER-positive and HER2-negative patient cohorts that were uniformly treated with adjuvant endocrine and chemotherapy (n = 250). Each sample was first risk stratified by a genomic surrogate of Oncotype DX, and the high risk patients (n = 76) were re-stratified by ACES. Recurrence-free survival (RFS) was evaluated with ACES risk categories. The Oncotype DX high risk but ACES good prognosis patients (n = 24, 32%) had an RFS of 95% compared to 76% in the poor prognosis group (n = 52; log-rank p = 0.033) at 5 years. ACES risk category remained an independent predictor in multivariate analysis after adjusting for age, T-stage, and lymph node involvement at diagnosis (hazard ratio 0.15; p = 0.072). Tertiary risk prediction that takes into account chemotherapy and endocrine sensitivity, and baseline prognosis may help identify high risk ER-positive patients who have excellent survival after chemotherapy.",
keywords = "Adult, Antineoplastic Agents, Hormonal, Biomarkers, Tumor, Breast Neoplasms, Chemotherapy, Adjuvant, Disease-Free Survival, Female, Gene Expression Profiling, Humans, Middle Aged, Neoplasm Proteins, Neoplasm Recurrence, Local, Neoplasm Staging, Prognosis, Receptors, Estrogen, Tamoxifen",
author = "Khan, {Sabrina S} and Thomas Karn and Symmans, {W Fraser} and Achim Rody and Volkmar M{\"u}ller and Uwe Holtrich and Sven Becker and Lajos Pusztai and Christos Hatzis",
year = "2015",
month = feb,
doi = "10.1007/s10549-015-3277-7",
language = "English",
volume = "149",
pages = "789--97",
journal = "BREAST CANCER RES TR",
issn = "0167-6806",
publisher = "Springer New York",
number = "3",

}

RIS

TY - JOUR

T1 - Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers

AU - Khan, Sabrina S

AU - Karn, Thomas

AU - Symmans, W Fraser

AU - Rody, Achim

AU - Müller, Volkmar

AU - Holtrich, Uwe

AU - Becker, Sven

AU - Pusztai, Lajos

AU - Hatzis, Christos

PY - 2015/2

Y1 - 2015/2

N2 - A subset of early stage estrogen receptor (ER)-positive breast cancers considered "high risk" for recurrence with endocrine therapy alone by current genomic prognostic predictors, such as Oncotype DX, is no longer high risk after receiving adjuvant chemotherapy. We hypothesized that a recently described gene expression-based outcome predictor adjuvant chemotherapy and endocrine therapy sensitivity (ACES) could re-stratify these patients into high and low risk groups for relapse when treated with both chemo- and endocrine therapies. ACES involves four separate modules (endocrine sensitivity, chemotherapy sensitivity, chemotherapy resistance, and survival prediction) that yield a prediction for good or poor outcome with current standard of care multimodality therapy. ACES was applied to Affymetrix gene expression data from 2 retrospectively collected ER-positive and HER2-negative patient cohorts that were uniformly treated with adjuvant endocrine and chemotherapy (n = 250). Each sample was first risk stratified by a genomic surrogate of Oncotype DX, and the high risk patients (n = 76) were re-stratified by ACES. Recurrence-free survival (RFS) was evaluated with ACES risk categories. The Oncotype DX high risk but ACES good prognosis patients (n = 24, 32%) had an RFS of 95% compared to 76% in the poor prognosis group (n = 52; log-rank p = 0.033) at 5 years. ACES risk category remained an independent predictor in multivariate analysis after adjusting for age, T-stage, and lymph node involvement at diagnosis (hazard ratio 0.15; p = 0.072). Tertiary risk prediction that takes into account chemotherapy and endocrine sensitivity, and baseline prognosis may help identify high risk ER-positive patients who have excellent survival after chemotherapy.

AB - A subset of early stage estrogen receptor (ER)-positive breast cancers considered "high risk" for recurrence with endocrine therapy alone by current genomic prognostic predictors, such as Oncotype DX, is no longer high risk after receiving adjuvant chemotherapy. We hypothesized that a recently described gene expression-based outcome predictor adjuvant chemotherapy and endocrine therapy sensitivity (ACES) could re-stratify these patients into high and low risk groups for relapse when treated with both chemo- and endocrine therapies. ACES involves four separate modules (endocrine sensitivity, chemotherapy sensitivity, chemotherapy resistance, and survival prediction) that yield a prediction for good or poor outcome with current standard of care multimodality therapy. ACES was applied to Affymetrix gene expression data from 2 retrospectively collected ER-positive and HER2-negative patient cohorts that were uniformly treated with adjuvant endocrine and chemotherapy (n = 250). Each sample was first risk stratified by a genomic surrogate of Oncotype DX, and the high risk patients (n = 76) were re-stratified by ACES. Recurrence-free survival (RFS) was evaluated with ACES risk categories. The Oncotype DX high risk but ACES good prognosis patients (n = 24, 32%) had an RFS of 95% compared to 76% in the poor prognosis group (n = 52; log-rank p = 0.033) at 5 years. ACES risk category remained an independent predictor in multivariate analysis after adjusting for age, T-stage, and lymph node involvement at diagnosis (hazard ratio 0.15; p = 0.072). Tertiary risk prediction that takes into account chemotherapy and endocrine sensitivity, and baseline prognosis may help identify high risk ER-positive patients who have excellent survival after chemotherapy.

KW - Adult

KW - Antineoplastic Agents, Hormonal

KW - Biomarkers, Tumor

KW - Breast Neoplasms

KW - Chemotherapy, Adjuvant

KW - Disease-Free Survival

KW - Female

KW - Gene Expression Profiling

KW - Humans

KW - Middle Aged

KW - Neoplasm Proteins

KW - Neoplasm Recurrence, Local

KW - Neoplasm Staging

KW - Prognosis

KW - Receptors, Estrogen

KW - Tamoxifen

U2 - 10.1007/s10549-015-3277-7

DO - 10.1007/s10549-015-3277-7

M3 - SCORING: Journal article

C2 - 25651779

VL - 149

SP - 789

EP - 797

JO - BREAST CANCER RES TR

JF - BREAST CANCER RES TR

SN - 0167-6806

IS - 3

ER -