bioRxivCancer BiologyPreprint
Deciphering TP53 mutant Cancer Evolution with Single-Cell Multi-Omics
A. Rodriguez-Meira, R. Norfo, W. X. Wen, A. L. Chedeville, H. Rahman, J. OSullivan, G. Wang, E. Louka, W. Kretzschmar, A. Paterson, C. Brierley, J.-E. Martin, C. Demeule, M. Bashton, N. Sousos, A. Hamblin, H. Guermouche, F. Pasquier, C. Marzac, F. Girodon, M. Drummond, C. Harrison, I. Plo, S. E. W. Jacobsen, B. Psaila, , A. J. Mead
Abstract
TP53 is the most commonly mutated gene in human cancer, typically occurring in association with complex cytogenetics and dismal outcomes. Understanding the genetic and non-genetic determinants of TP53-mutation driven clonal evolution and subsequent transformation is a crucial step towards the design of rational therapeutic strategies. Here, we carry out allelic resolution single-cell multi-omic analysis of haematopoietic stem/progenitor cells (HSPC) from patients with a myeloproliferative neoplasm who transform to TP53-mutant secondary acute myeloid leukaemia (AML), a tractable model of TP53-mutant cancer evolution. All patients showed dominant TP53 multi-hit HSPC clones at transformation, with a leukaemia stem cell transcriptional signature strongly predictive of adverse outcome in independent cohorts, across both TP53-mutant and wild-type AML. Through analysis of serial samples and antecedent TP53-heterozygous clones, we demonstrate a hitherto unrecognised effect of chronic inflammation, which supressed TP53 wild-type HSPC whilst enhancing the fitness advantage of TP53 mutant cells. Our findings will facilitate the development of risk-stratification, early detection and treatment strategies for TP53-mutant leukaemia, and are of broader relevance to other cancer types.
- organism: human
- assay: scRNA-seq
- assay: multiome
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
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