A Unique Morphological Phenotype in Chemoresistant Triple-Negative Breast Cancer Reveals Metabolic Reprogramming and PLIN4 Expression as a Molecular Vulnerability
Published version of a preprint
Abstract
The major obstacle in successfully treating triple-negative breast cancer (TNBC) is resistance to cytotoxic chemotherapy, the mainstay of treatment in this disease. Previous preclinical models of chemoresistance in TNBC have suffered from a lack of clinical relevance. Using a single high dose chemotherapy treatment, we developed a novel MDA-MB-436 cell-based model of chemoresistance characterized by a unique and complex morphologic phenotype, which consists of polyploid giant cancer cells giving rise to neuron-like mononuclear daughter cells filled with smaller but functional mitochondria and numerous lipid droplets. This resistant phenotype is associated with metabolic reprogramming with a shift to a greater dependence on fatty acids and oxidative phosphorylation. We validated both the molecular and histologic features of this model in a clinical cohort of primary chemoresistant TNBCs and identified several metabolic vulnerabilities including a dependence on PLIN4, a perilipin coating the observed lipid droplets, expressed both in the TNBC-resistant cells and clinical chemoresistant tumors treated with neoadjuvant doxorubicin-based chemotherapy. These findings thus reveal a novel mechanism of chemotherapy resistance that has therapeutic implications in the treatment of drug-resistant cancer. IMPLICATIONS: These findings underlie the importance of a novel morphologic-metabolic phenotype associated with chemotherapy resistance in TNBC, and bring to light novel therapeutic targets resulting from vulnerabilities in this phenotype, including the expression of PLIN4 essential for stabilizing lipid droplets in resistant cells.
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The results on the histological class pairs associated with pCR and RD are in line with previously published studies.
“These results are in line with previously published studies [58–66].”
From Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer (2024) · cites this paper as [66]
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References 67 · Cited by 110
- Authors
- Sirois, I., Aguilar-Mahecha, A., Lafleur, J., Fowler, E., Vu, V., Scriver, M., Buchanan, M., Chabot, C., Ramanathan, A., Balachandran, B., Légaré, S., Przybytkowski, E., Lan, C., Krzemien, U., Cavallone, L., Aleynikova, O., Ferrario, C., Guilbert, M.-C., Benlimame, N., Saad, A., Alaoui-Jamali, M., Saragovi, H. U., Josephy, S., O'Flanagan, C., Hursting, S. D., Richard, V. R., Zahedi, R. P., Borchers, C. H., Bareke, E., Nabavi, S., Tonellato, P., Roy, J.-A., Robidoux, A., Marcus, E. A., Mihalcioiu, C., Majewski, J., & Basik, M.
- Affiliations
- Jewish General Hospital (CA)
- 1Segal Cancer Center, Lady Davis Institute for Medical Research, Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montréal, Québec, Canada.
- Hôpital Maisonneuve-Rosemont (CA)
- 5Lady Davis Institute-Jewish General Hospital; Center for Translational Research, McGill University, Montréal, Québec, Canada.
- 8Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
- University of North Carolina at Chapel Hill (US)
- University of Victoria (CA)
- McGill University and Génome Québec Innovation Centre (CA)
- Harvard University (US)
- Hôpital du Sacré-Cœur de Montréal (CA)
- Centre Hospitalier de l’Université de Montréal (CA)
- 17John H. Stroger Jr. Hospital, Chicago, Illinois.
- McGill University Health Centre (CA)
- ORCID
- Sirois, Isabelle
- Lafleur, Josiane
- Scriver, Michelle
- Buchanan, Marguerite
- Chabot, Catherine
- Lan, Cathy
- Cavallone, Luca
- Ferrario, Cristiano
- Guilbert, Marie-Christine
- Benlimame, Naciba
- Alaoui-Jamali, Moulay
- Hursting, Stephen D.
- Richard, Vincent R.
- Zahedi, René P.
- Borchers, Christoph H.
- Bareke, Eric
- Nabavi, Sheida
- Tonellato, Peter
- Mihalcioiu, Catalin
- Majewski, Jacek
- Basik, Mark
- Venue
- Molecular Cancer Research
- Published
- 2019-12-01
- Volume
- 17
- Issue
- 12
- Pages
- 2492-2507
- ISSN
- 1541-7786 (ISSN-L)
- 1557-3125
- OpenAlex
- W2973636623
- Cited by
- 110
- References
- 67
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 15 · 2023: 17 · 2022: 17 · 2021: 19 · 2020: 11 · 2019: 1
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Molecular Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Funders
- Fonds de Recherche du Québec - Santé
- Lady Davis Institute TD Studentship award
- Genome Canada (Génome Canada) 264PRO
- Segal McGill Chair in Molecular Oncology McGill University
- Warren Y. Soper Charitable Trust and the Alvin Segal Family Foundation JGH
- Canadian Research Society (21439)
- Canadian Institutes of Health Research (377429)
- McPeak Sirois Consortium
- Jewish General Hospital Foundation
- McGill University
- Eileen Iwanicki Foundation (FIW-127602)
- The McGill Integrated Cancer Research Training Program
- Biotalent Canada
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- triple-negative breast cancer, chemoresistance, metabolic reprogramming, PLIN4, perilipin, lipid droplets, polyploidy, MDA-MB-436 cells, fatty acid metabolism, oxidative phosphorylation, doxorubicin, neoadjuvant chemotherapy
- MeSH terms
- Perilipin-4, Antineoplastic Agents, Doxorubicin, Female, Humans, Gene Expression Regulation, Neoplastic, Apoptosis, Drug Resistance, Neoplasm, Cell Line, Tumor, Cell Proliferation, Metabolic Networks and Pathways, Triple Negative Breast Neoplasms, Cellular Reprogramming, Lipid Droplets
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