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EMT-driven Plasticity Prospectively Increases Cell-cell Variability to Promote Therapeutic Adaptation in Breast Cancer

Abstract

Cellular plasticity enables cancer cells to adapt non-genetically, thereby preventing therapeutic success. The epithelial-mesenchymal transition (EMT) is a type of plasticity linked to resistance and metastasis. However, its exact impact on population diversity and its dynamics under chemotherapy is unknown. We used single-cell transcriptomics to investigate phenotypic diversity dynamics upon treatment in two in vitro models of triple negative breast cancer (TNBC), where EMT-driven plasticity is either induced or spontaneously occurring. We report that EMT-driven plasticity confers higher phenotypic cell-cell variability (p < 0.001) while enriching for stem-like cells. Genetic and phenotypic cell-cell variability were not consistently correlated. High-plasticity populations displayed more pre-adapted cells before treatment (p = 0.03). In a population displaying spontaneous EMT and phenotypic variation, pre-adapted cells were a rare minority of high-scoring outliers whose expression patterns correlated with survival in TNBC patients subjected to chemotherapy (p = 0.03). Higher plasticity was not associated with a partial EMT status. Our results provide novel insights on how EMT-driven plasticity promotes a prospective diversification process increasing population phenotypic diversity, which can yield rare pre-adapted states before treatment. This highlights the need to tackle phenotypic diversity prior to treatment in high-plasticity tumours.

References
1.
Mani S, Guo W, Liao M, Eaton E, Ayyanan A, Zhou A . The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell. 2008; 133(4):704-15. PMC: 2728032. DOI: 10.1016/j.cell.2008.03.027. View

2.
Monteiro L, Da Silva L, Lipinski B, Fauvet F, Vigneron A, Puisieux A . Assessing Cell Activities rather than Identities to Interpret Intra-Tumor Phenotypic Diversity and Its Dynamics. iScience. 2020; 23(5):101061. PMC: 7195534. DOI: 10.1016/j.isci.2020.101061. View

3.
Lim E, Wu D, Pal B, Bouras T, Asselin-Labat M, Vaillant F . Transcriptome analyses of mouse and human mammary cell subpopulations reveal multiple conserved genes and pathways. Breast Cancer Res. 2010; 12(2):R21. PMC: 2879567. DOI: 10.1186/bcr2560. View

4.
Mercatelli D, Lopez-Garcia G, Giorgi F . corto: a lightweight R package for gene network inference and master regulator analysis. Bioinformatics. 2020; 36(12):3916-3917. DOI: 10.1093/bioinformatics/btaa223. View

5.
Morel A, Hinkal G, Thomas C, Fauvet F, Courtois-Cox S, Wierinckx A . EMT inducers catalyze malignant transformation of mammary epithelial cells and drive tumorigenesis towards claudin-low tumors in transgenic mice. PLoS Genet. 2012; 8(5):e1002723. PMC: 3359981. DOI: 10.1371/journal.pgen.1002723. View