bioRxivCancer Biology
Single cell transcriptomics reveals involution mimicry during the specification of the basal breast cancer subtype
F. Valdes-Mora, R. Salomon, B. S. Gloss, A. M. Law, L. Castillo, K. Murphy, J. Venhuizen, A. Magenau, M. Papanicolau, L. Rodriguez de la Fuente, D. L. Roden, Y. Colino-Sanguino, Z. Kikhtyak, N. Farbehi, J. R. Conway, S. R. Oakes, N. Sikta, S. O'Donoghue, T. R. Cox, P. Timpson, C. J. Ormandy, D. Gallego-Ortega
Abstract
Both luminal and basal breast cancer subtypes originate in the mammary luminal progenitor cell compartment. Basal breast cancer is associated with younger age, early relapse, and high mortality rate. Here we used unbiased droplet-based single-cell RNAseq to elucidate the cellular basis of tumour progression during the specification of the basal breast cancer subtype from the luminal progenitor population. Basal-like cancer cells resembled the alveolar lineage that is specified upon pregnancy and showed molecular features indicative of an interaction with the tumour microenvironment (TME) including epithelial-to-mesenchymal transition (EMT), hypoxia, lactation and involution. Involution signatures in luminal breast cancer tumours with alveolar lineage features were associated with worse prognosis and features of basal breast cancer. Our high-resolution molecular characterisation of the tumour ecosystem also revealed a highly interactive cell-cell network reminiscent of an involution process. This involution mimicry involves malignant education of cancer-associated fibroblasts and myeloid cell recruitment to support tissue remodelling and sustained inflammation. Our study shows how luminal breast cancer acquires an aberrant post-lactation developmental program that involves both cancer cells and cells from the TME, to shift molecular subtype and promote tumour progression, with potential to explain the increased risk and poor prognosis of breast cancer associated to childbirth.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
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