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Cited by 220

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

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

Open access
Ignatiadis, Michail, Singhal, Sandeep K., Desmedt, Christine, Haibe-Kains, Benjamin, Criscitiello, Carmen, Andre, Fabrice, Loi, Sherene, Piccart, Martine, Michiels, Stefan, Sotiriou, Christos·2012·Journal of Clinical Oncology

Abstract

Purpose: To 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 Methods: We 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. Results: High 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). Conclusion: Different processes and pathways are associated with pCR in different BC subtypes.

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Metadata

Authors
Ignatiadis, M., Singhal, S. K., Desmedt, C., Haibe-Kains, B., Criscitiello, C., Andre, F., Loi, S., Piccart, M., Michiels, S., & Sotiriou, C.
Venue
Journal of Clinical Oncology
Published
2012-06-01
Volume
30
Issue
16
Pages
1996-2004
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2004377796
Cited by
220
References
7
FWCI
8.96
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Gene Modules and Response to Neoadjuvant Chemotherapy in Breast Cancer Subtypes: A Pooled Analysis. https://app.cochat.ai/papers/10.1200/jco.2011.39.5624
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Ignatiadis, M., Singhal, S. K., Desmedt, C., Haibe-Kains, B., Criscitiello, C., Andre, F., Loi, S., Piccart, M., Michiels, S., & Sotiriou, C. (2012). Gene Modules and Response to Neoadjuvant Chemotherapy in Breast Cancer Subtypes: A Pooled Analysis. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2011.39.5624

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