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

Journal Article (2022)
Author(s)

Marlous Hoogstraat (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Esther H. Lips (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Isabel Mayayo-Peralta (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Lennart Mulder (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Petra Kristel (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Ingrid van der Heijden (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Stefano Annunziato (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Maartje van Seijen (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Lodewyk F.A. Wessels (TU Delft - Pattern Recognition and Bioinformatics, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

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Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1038/s41523-022-00428-8
More Info
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Publication Year
2022
Language
English
Research Group
Pattern Recognition and Bioinformatics
Journal title
npj Breast Cancer
Issue number
1
Volume number
8
Article number
60
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306
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Abstract

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-naïve 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-naïve 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.