Comprehensive characterization of pre- and post-treatment samples of breast cancer reveal potential mechanisms of chemotherapy resistance

被引:16
|
作者
Hoogstraat, Marlous [1 ,2 ]
Lips, Esther H. [3 ]
Mayayo-Peralta, Isabel [1 ]
Mulder, Lennart [3 ]
Kristel, Petra [3 ]
van der Heijden, Ingrid [3 ]
Annunziato, Stefano [3 ]
van Seijen, Maartje [3 ]
Nederlof, Petra M. [4 ]
Sonke, Gabe S. [5 ]
Zwart, Wilbert [1 ]
Wesseling, Jelle [3 ,4 ,6 ]
Wessels, Lodewyk F. A. [2 ,7 ]
机构
[1] Netherlands Canc Inst, Oncode Inst, Div Oncogen, Amsterdam, Netherlands
[2] Netherlands Canc Inst, Oncode Inst, Div Mol Carcinogenesis, Amsterdam, Netherlands
[3] Netherlands Canc Inst, Div Mol Pathol, Amsterdam, Netherlands
[4] Netherlands Canc Inst, Dept Pathol, Amsterdam, Netherlands
[5] Netherlands Canc Inst, Div Med Oncol, Amsterdam, Netherlands
[6] Leiden Univ, Med Ctr, Dept Pathol, Leiden, Netherlands
[7] Delft Univ Technol, Dept EEMCS, Delft, Netherlands
关键词
PATHOLOGICAL COMPLETE RESPONSE; NEOADJUVANT CHEMOTHERAPY; DROSOPHILA-MELANOGASTER; GENOME; EXPRESSION; AMPLIFICATION; LANDSCAPE; FRAMEWORK; PATTERNS; SURVIVAL;
D O I
10.1038/s41523-022-00428-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is significantly higher if no complete pathologic response is achieved. Identification of the underlying resistance mechanisms is essential to select treatments with maximal efficacy and minimal toxicity. Here we employed gene expression profiles derived from 317 HER2-negative treatment-naive breast cancer biopsies of patients who underwent neoadjuvant chemotherapy, deep whole exome, and RNA-sequencing profiles of 22 matched pre- and post-treatment tumors, and treatment outcome data to identify biomarkers of response and resistance mechanisms. Molecular profiling of treatment-naive breast cancer samples revealed that expression levels of proliferation, immune response, and extracellular matrix (ECM) organization combined predict response to chemotherapy. Triple negative patients with high proliferation, high immune response and low ECM expression had a significantly better treatment response and survival benefit (HR 0.29, 95% CI 0.10-0.85; p = 0.02), while in ER+ patients the opposite was seen (HR 4.73, 95% CI 1.51-14.8; p = 0.008). The characterization of paired pre-and post-treatment samples revealed that aberrations of known cancer genes were either only present in the pre-treatment sample (CDKN1B) or in the post-treatment sample (TP53, APC, CTNNB1). Proliferation-associated genes were frequently down-regulated in post-treatment ER+ tumors, but not in triple negative tumors. Genes involved in ECM were upregulated in the majority of post-chemotherapy samples. Genomic and transcriptomic differences between pre- and post-chemotherapy samples are common and may reveal potential mechanisms of therapy resistance. Our results show a wide range of distinct, but related mechanisms, with a prominent role for proliferation- and ECM-related genes.
引用
收藏
页数:12
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