Gene Modules and Response to Neoadjuvant Chemotherapy in Breast Cancer Subtypes: A Pooled Analysis

Author:

Ignatiadis Michail1,Singhal Sandeep K.1,Desmedt Christine1,Haibe-Kains Benjamin1,Criscitiello Carmen1,Andre Fabrice1,Loi Sherene1,Piccart Martine1,Michiels Stefan1,Sotiriou Christos1

Affiliation:

1. Michail Ignatiadis, Sandeep K. Singhal, Christine Desmedt, Carmen Criscitiello, Sherene Loi, Martine Piccart, Stefan Michiels, and Christos Sotiriou, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium; Benjamin Haibe-Kains, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA; and Fabrice Andre, Institut Gustave Roussy, Université Paris XI, Paris, France.

Abstract

PurposeTo investigate the association between chemotherapy response and gene expression modules describing important biologic processes and druggable oncogenic pathways in breast cancer (BC) subtypes.Patients and MethodsWe searched for publicly available gene expression studies evaluating anthracycline with or without taxane-based neoadjuvant chemotherapy and identified eight studies with 996 patients. We computed 17 gene modules and calculated odds ratios (ORs) for pathologic complete response (pCR) for one-unit increases in scaled modules with and without adjustment for clinicopathologic characteristics. Added predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) and integrated discrimination index (IDI). We used the false discovery rate (FDR) to adjust for multiple testing.ResultsHigh immune module scores were associated with increased pCR probability in all BC subtypes. High module scores of chromosomal instability, phosphatase and tensin homolog (PTEN) loss, and E2F3 transcription factor were associated with increased pCR probability in estrogen receptor (ER) –negative/human epidermal growth factor receptor 2 (HER2) –negative and ER-positive/HER2-negative but not in HER2-positive tumors (interactions between HER2 and each of these modules for their association with pCR: P < .05; FDR, 0.17; trend for interaction between HER2 and PTEN). High values of insulin-like growth factor 1 activation module were associated with increased pCR probability only in ER-positive/HER2-negative tumors (interaction between insulin-like growth factor 1 and ER: P = .002; FDR, 0.03). When adding the immune module to clinicopathologic characteristics, we observed substantial increases in predictive accuracy for pCR in the HER2-positive subtype (IDI, 0.093; P = .004; increase in AUC from 0.760 to 0.836).ConclusionDifferent processes and pathways are associated with pCR in different BC subtypes.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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