Project description:Cancer metabolism adapts the metabolic network of its tissue-of-origin. However, breast cancer is not a disease of a singular origin. Multiple epithelial populations serve as the culprit cell-of-origin for specific breast cancer subtypes, yet our knowledge of the metabolic network of normal mammary epithelial cells is limited. Using a multi-OMIC approach, here we identify the diverse metabolic programs operating in normal mammary populations. The proteomes of basal, luminal progenitor, and mature luminal cell populations revealed enrichment of glycolysis in basal cells and of oxidative phosphorylation in luminal progenitors. Single-cell transcriptomes corroborated lineage-specific metabolic identities and additional intra-lineage heterogeneity. Mitochondrial form-and-function differed across lineages, with clonogenicity correlating to mitochondrial activity. Targeting oxidative phosphorylation and glycolysis with inhibitors exposed lineage-rooted metabolic vulnerabilities of mammary progenitors. Bioinformatics indicated breast cancer subtypes retain metabolic features of their putative cell-of-origin. Thus, lineage-rooted metabolic identities of normal mammary cells may underlie breast cancer metabolic heterogeneity and targeting these vulnerabilities could advance breast cancer therapy.
Project description:Global proteomic profiling of three mammary epithelial cell types in normal human breast tissue. Primary breast specimens were obtained from 10 women undergoing reduction mammoplasties. Clinical co-variates include age (28-67), hormone status (follicular, luteal, post-menopausal) and mammary epithelial cell type (basal, luminal progenitor, mature luminal).
Project description:Rank signaling regulates mammary gland development and epithelial cell differentiation. Rank receptor is expressed by mammary basal and luminal populations, but unlike that of luminal, the contribution of basal Rank signaling to mammary gland homeostasis remains poorly studied. Combining timely-regulated, basal-specific Rank expression with lineage tracing strategies we unveiled that Rank signaling controls basal cell identity in postnatal mammary glands. Enhanced basal Rank disrupts basal and luminal cell identity, resulting in aberrant luminal-like differentiation of basal cells, defective lactation and the appearance of premalignant lesions composed of a basal-derived hybrid population with luminal/alveolar features, which ultimately generates basal and luminal breast adenocarcinomas. Mechanistically, phospho-proteomic, transcriptomic and chromatin analyses support that basal Rank activation triggers the loss of tumor suppressive epigenetic regulators, leading to chromatin remodeling, disruption of basal identity and tumorigenesis. We uncover a basal Rank gene signature that can be predictive of progression from in situ to invasive adenocarcinomas and associates with poor prognosis in breast cancer patients, particularly in those diagnosed with luminal adenocarcinomas, underlining the clinical relevance of our findings. Our results reinforce the idea that basal lineage infidelity triggered by Rank signaling contribute to generation from pre-invasive lesions and transition to invasive breast cancer.
Project description:The mammary epithelium depends on specific lineages and their stem and progenitor function to accommodate hormone-triggered physiological demands in the adult female. Perturbations of these lineages underpin breast cancer risk, yet our understanding of normal mammary cell composition is incomplete. Here, we build a multimodal resource for the adult gland through comprehensive profiling of primary cell epigenomes, transcriptomes, and proteomes. We define systems-level relationships between chromatin–DNA–RNA–protein states, identify lineage-specific DNA methylation of transcription factor binding sites, and pinpoint proteins underlying progesterone responsiveness. Comparative proteomics of estrogen and progesterone receptor–positive and –negative cell populations, extensive target validation, and drug testing lead to discovery of stem and progenitor cell vulnerabilities. Top epigenetic drugs exert cytostatic effects; prevent adult mammary cell expansion, clonogenicity, and mammopoiesis; and deplete stem cell frequency. Select drugs also abrogate human breast progenitor cell activity in normal and high-risk patient samples. This integrative computational and functional study provides fundamental insight into mammary lineage and stem cell biology.
PMID: 29921600 (Table S5 and Table S7)
Project description:Cellular plasticity in mammary epithelial cells enables dynamic cell state changes essential for normal developmental but can be hijacked by breast cancer cells to drive tumor progression. However, the molecular factors that maintain cellular plasticity through the regulation of a hybrid cell state (epithelial/mesenchymal) are not fully defined. As LMO2 has been previously shown to regulate metastasis, here we determined the role of LMO2 in the normal mammary epithelial cells . Using lineage tracing and knockout mouse models we find that Lmo2 lineage-traced cells persist long-term in the mammary gland, both in the luminal and basal layer but have limited proliferative potential. Lmo2 loss does not impact mammary gland development, but acute deletion decreases in vivo reconstitution. Moreover, LMO2 knockdown in mouse and human mammary epithelial cells (MECs) reduces organoid formation. We find that LMO2 maintains a hybrid cell state and LMO2 knockdown promotes mesenchymal differentiation. Transcriptional profiling of LMO2 knockdown cells reveals significant enrichment in the epithelial-mesenchymal transition (EMT) pathway and upregulation of MCAM, a negative regulator of regenerative capacity in the mammary gland . Altogether, we show that LMO2 plays a role in maintaining cellular plasticity in normal mammary epithelial cells, adding insight into the normal differentiation programs hijacked by cancer cells to drive tumor progression.
Project description:This submission contains the mass spectrometry files for the manuscript by Aurelie Lacouture et al. that describes the quantitative proteomics analysis of mouse mammary gland epithelial organoids proteome. Experiments were performed from mammary glands organoids derived from mouse and the MS files were acquired on Orbitrap Fusion mass spectrometer. For questions, please contact Etienne Audet-Walsh (Etienne.Audet-Walsh@crchudequebec.ulaval.ca).