Dynamics of molecular heterogeneity in high-risk luminal breast cancer—From intrinsic to adaptive subtyping

We evaluate therapy-induced molecular heterogeneity in longitudinal samples from high-risk, hormone-receptor positive/HER2-negative breast cancer patients with residual tumor after neoadjuvant chemotherapy from the Penelope-B trial (NCT01864746; EudraCT 2013-001040-62). Intrinsic subtypes are prognostic in pre-therapeutic (Tx) samples (n = 629, p < 0.0001) and post-Tx residual tumors (n = 782, p < 0.0001). After neoadjuvant chemotherapy, a shift of intrinsic subtypes is observed from pre-Tx luminal (Lum) B to post-Tx LumA, with reverse transition back to LumB in metastases. In a combined analysis of 540 paired pre-Tx and post-Tx samples, we identify five adaptive clusters (AC-1-5) based on transcriptomic changes before and after neoadjuvant chemotherapy. These AC-subtypes are prognostic beyond classical intrinsic subtyping, categorizing patients into groups with excellent prognosis (AC-1 and AC-2), poor prognosis (AC-3 and AC-4), and very poor prognosis (AC-5, enriched for basal-like subtype). Our analysis provides a basis for an extended molecular classification of breast cancer patients and improved identification of high-risk patient populations.

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Publication Details

Journal
Cancer Cell
Published
2025-02-01
DOI
https://doi.org/10.1016/j.ccell.2025.01.002
Citations
19
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
17.79

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article

Dynamics of molecular heterogeneity in high-risk luminal breast cancer—From intrinsic to adaptive subtyping

Angela M. DeMichele, Nicole McCarthy, Wolfgang Schmitt, Johannes Holtschmidt et al.
19 citations
Cancer Cell
Breast Cancer Treatment Studies
17.79
article

Dynamics of molecular heterogeneity in high-risk luminal breast cancer—From intrinsic to adaptive subtyping

Angela M. DeMichele, Nicole McCarthy, Wolfgang Schmitt, Johannes Holtschmidt, Frederik Marmé, Sabine Seiler, Julia Teply‐Szymanski, Federico Rojo, M. Untch, Thomas Karn, Paul Jank, Michael Gnant, Erik S. Knudsen, Carsten Denkert, Agnieszka Katarzyna Witkiewicz, Andreas Makris, Christina C. Westhoff, Karsten E. Weber, Sungbae Kim, Toralf Reimer, Hervé Bonnefoi, Valentina Nekljudova, Thorsten Stiewe, Harry D. Bear, Karen A. Gelmon, Zhe Zhang, Catherine M. Kelly, Nicholas Turner, Bärbel Felder, Mireia Melé, Sivaramakrishna Rachakonda, Hope S. Rugo, Anika Pehl, Miguel Martín, José A. García-Sáenz, Peter A. Fasching, Masakazu Toi, S. Loibl, Laura van’t Veer, Seock Ah Im
article en
19 citations

Abstract

We evaluate therapy-induced molecular heterogeneity in longitudinal samples from high-risk, hormone-receptor positive/HER2-negative breast cancer patients with residual tumor after neoadjuvant chemotherapy from the Penelope-B trial (NCT01864746; EudraCT 2013-001040-62). Intrinsic subtypes are prognostic in pre-therapeutic (Tx) samples (n = 629, p < 0.0001) and post-Tx residual tumors (n = 782, p < 0.0001). After neoadjuvant chemotherapy, a shift of intrinsic subtypes is observed from pre-Tx luminal (Lum) B to post-Tx LumA, with reverse transition back to LumB in metastases. In a combined analysis of 540 paired pre-Tx and post-Tx samples, we identify five adaptive clusters (AC-1-5) based on transcriptomic changes before and after neoadjuvant chemotherapy. These AC-subtypes are prognostic beyond classical intrinsic subtyping, categorizing patients into groups with excellent prognosis (AC-1 and AC-2), poor prognosis (AC-3 and AC-4), and very poor prognosis (AC-5, enriched for basal-like subtype). Our analysis provides a basis for an extended molecular classification of breast cancer patients and improved identification of high-risk patient populations.

Cancer CellVol. 43(2)
Goethe University Frankfurt (DE), Ulsan College (KR), Roswell Park Comprehensive Cancer Center (US), Institute of Cancer Research (GB), Université de Bordeaux (FR), Inserm (FR), Philipps University of Marburg (DE), The University of Queensland (AU), University of California, San Francisco (US), Pfizer (United States) (US), Virginia Commonwealth University (US), Kyoto University (JP), Heidelberg University (DE), Asan Medical Center (KR), University Hospital Heidelberg (DE), Seoul National University Hospital (KR), Hospital General Universitario Gregorio Marañón (ES), Hospital Clínico San Carlos (ES), Tokyo Metropolitan Komagome Hospital (JP), Humboldt-Universität zu Berlin (DE), University of Ulsan (KR), Universitätsklinikum Erlangen (DE), Comprehensive Cancer Center Vienna (AT), Arbeitsgemeinschaft Gynäkologische Onkologie Studiengruppe (DE), Cancer Trials Australia (AU), University of Miami Health System (US), Cancer Trials Ireland (IE), Mount Vernon Cancer Centre (GB), Royal Marsden Hospital (GB), Penn Center for AIDS Research (US), Hospital Universitario Fundación Jiménez Díaz (ES), German Breast group (DE), Institut Bergonié (FR), Helios Kliniken (DE), University of Pennsylvania Health System (US), Hospital Universitari Sant Joan de Reus (ES), Comprehensive Cancer Center Erlangen (DE), Helios Hospital Berlin-Buch (DE), University Medical Centre Mannheim (DE), Centro de Investigación Biomédica en Red de Cáncer (ES), GEICAM – Spanish Breast Cancer Group (ES), UCSF Helen Diller Family Comprehensive Cancer Center (US), Abramson Cancer Center (US), BoRdeaux Institute of onCology (FR), University of Rostock (DE), Freie Universität Berlin (DE), Medical University of Vienna (AT), Charité - Universitätsmedizin Berlin (DE)
Bundesministerium für Forschung und Technologie, Deutsche Krebshilfe
No poverty
Openalex Percentile: Top 1%
Breast Cancer Treatment Studies
17.79
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