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Kandyba, E.

Publications and source records attributed to Kandyba, E..

2 recordsLinked to original sources

The interplay between dormant mutated cells and tumor promotion by chronic tissue damage in determining cancer risk.

While the causal role of mutagenic carcinogens in tumor development is well established, the relative contribution of environmental tumor promoting factors, wounding, and chronic inflammation is still unclear. Recent sequencing studies have suggested that most environmental carcinogens act as promoters rather than through mechanisms that involve direct induction of point mutations, but whether cancer risk factors such as obesity, chronic inflammation, wounding, or tumor promoters contribute directly or indirectly to mutation burden, or induce novel signatures, has not been investigated. Here, we present WGS analysis of over 100 mouse skin tumors to compare the effects of exposure to mutagens, the tumor promoter TPA, chronic wounding, obesity, or chemotherapy, on mutational burden and cancer risk. All tumors initiated by the carcinogen Dimethylbenzanthracene (DMBA) show a very strong A>T mutational signature (SBS.DMBA) attributable to a single exposure to this carcinogen. The number of SBS.DMBA mutations also showed a strong correlation with the "clock" signature SBS5, suggesting that one treatment with this mutagen can induce mutational signatures attributed to endogenous processes. No specific signatures could be attributed to obesity, high fat diet, wounding, or TPA. Cells carrying thousands of mutations persist over very long periods without inducing tumors or causing pathological changes but can give rise to tumors after short term exposure to TPA. Furthermore, normal cell turnover and proliferation during fetal and adult growth, is not sufficient for promotion, but tissue damage followed by regenerative proliferation seems to be required for tumor development. We conclude that tumor promoters, chronic inflammation, wounding, and obesity do not contribute significantly to tumor mutational burden, and that the rate-limiting determinant of tumor growth is exposure to a tumor promoter rather than the nature or number of genomic point mutations. These data are highly relevant to the recent demonstration of persistent oncogenic mutations in histologically normal human tissues during ageing.

cancer biology↗

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

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 Lgr6+ stem cells from tumors generate progeny that express a range of other stem-cell markers including Sox2, Pitx1, Foxa1, Klf5, and Cd44. 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 in vivo with the chemotherapeutic cis-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. One-Sentence SummaryGenes act in networks to drive cancer, and we identify these groups of genes from bulk-tissue and trace them at single-cell resolution.

cancer biology↗