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Gene networks reveal stem-cell state convergence during preneoplasia and progression to malignancy in multistage skin carcinogenesis. | LitMetric

AI Article Synopsis

  • Adult stem cells are important for keeping tissues healthy and can also help tumors grow by becoming different types of cells and resisting treatment.
  • Researchers studied mouse samples to understand how normal and tumor stem cells are related and discovered new ways these cells behave during cancer development.
  • They found that certain tumor cells can change and resist drugs, which could help create new strategies for treating cancer more effectively.

Article Abstract

Adult mammalian stem cells play critical roles in normal tissue homeostasis, as well as in tumor development, by contributing to cell heterogeneity, plasticity, and development of drug resistance. The relationship between different types of normal and cancer stem cells is highly controversial and poorly understood. Here, we carried out gene expression network analysis of normal and tumor samples from genetically heterogeneous mice to create network metagenes for visualization of stem-cell networks, rather than individual stem-cell markers, at the single-cell level during multistage carcinogenesis. We combined this approach with lineage tracing and single-cell RNASeq of stem cells and their progeny, identifying a previously unrecognized hierarchy in which + stem cells from tumors generate progeny that express a range of other stem-cell markers including , and Our data identify a convergence of multiple stem-cell and tumor-suppressor pathways in benign tumor cells expressing markers of lineage plasticity and oxidative stress. This same single-cell population expresses network metagenes corresponding to markers of cancer drug resistance in human tumors of the skin, lung and prostate. Treatment of mouse squamous carcinomas with the chemotherapeutic -platin resulted in elevated expression of the genes that mark this cell population. Our data have allowed us to create a simplified model of multistage carcinogenesis that identifies distinct stem-cell states at different stages of tumor progression, thereby identifying networks involved in lineage plasticity, drug resistance, and immune surveillance, providing a rich source of potential targets for cancer therapy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197547PMC
http://dx.doi.org/10.1101/2023.05.08.539863DOI Listing

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