亚型
乳腺癌
HER2阴性
肿瘤科
化疗
内科学
新辅助治疗
医学
紫杉醇
疾病
癌症
癌症研究
转移性乳腺癌
计算机科学
程序设计语言
作者
Carsten Denkert,Sivaramakrishna Rachakonda,Thomas Karn,Karsten E. Weber,Miguel Martín,Frederik Marmé,M. Untch,Hervé Bonnefoi,Sungbae Kim,Sabine Seiler,Harry D. Bear,Agnieszka K. Witkiewicz,Seock Ah Im,Angela DeMichele,Anika Pehl,Laura van’t Veer,Nicole McCarthy,Thorsten Stiewe,Paul Jank,Karen A. Gelmon
出处
期刊:Cancer Cell
[Cell Press]
日期:2025-02-01
卷期号:43 (2): 232-247.e4
被引量:23
标识
DOI:10.1016/j.ccell.2025.01.002
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI