Cancer is a highly heterogeneous disease, where phenotypically distinct subpopulations coexist and can be primed to different fates. Both genetic and epigenetic factors may drive cancer evolution, however little is known about whether and how such a process is pre-encoded in cancer clones. Using single-cell multi-omic lineage tracing and phenotypic assays, we investigate the predictive features of either tumour initiation or drug tolerance within the same cancer population. Clones primed to tumour initiation in vivo display two distinct transcriptional states at baseline. Remarkably, these states share a distinctive DNA accessibility profile, highlighting an epigenetic basis for tumour initiation. The drug tolerant niche is also largely pre-encoded, but only partially overlaps the tumour-initiating one and evolves following two genetically and transcriptionally distinct trajectories. Our study highlights coexisting genetic, epigenetic and transcriptional determinants of cancer evolution, unravelling the molecular complexity of pre-encoded tumour phenotypes.
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http://dx.doi.org/10.1038/s41467-024-51424-4 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Duncan and Nancy MacMillan Cancer Immunology and Metabolism Center of Excellence, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08901.
In the pregenomic era, scientists were puzzled by the observation that haploid genome size (the C-value) did not correlate well with organismal complexity. This phenomenon, called the "C-value paradox," is mostly explained by the fact that protein-coding genes occupy only a small fraction of eukaryotic genomes. When the first genome sequences became available, scientists were even more surprised by the fact that the number of genes (G-value) was also a poor predictor of complexity, which gave rise to the "G-value paradox.
View Article and Find Full Text PDFAnnu Rev Entomol
January 2025
Department of Biology and Molecular Sciences Research Center, University of Puerto Rico, San Juan, Puerto Rico.
Novel traits in the order Lepidoptera include prolegs in the abdomen of larvae, scales, and eyespot and band color patterns in the wings of adults. We review recent work that investigates the developmental origin and diversification of these four traits from a gene-regulatory network (GRN) perspective. While prolegs and eyespots appear to derive from distinct ancestral GRNs co-opted to novel body regions, scales derive from in situ modifications of a sensory bristle GRN.
View Article and Find Full Text PDFVet Ital
January 2025
Grupo GINVER, Facultad de Medicina Veterinaria, Corporación Universitaria Remington, Medellín, 050010.
The bovine leukemia virus (BLV) is a pathogen of high importance for the dairy industry. Currently, twelve genotypes have been described worldwide with different pathogenicity and virulence, so it is critical to evaluate the circulating genotypes in each country/region to associate this information with risk situations. The aim of this work was to perform a phylogenetic and mutational analysis of the BLV tax gene in cows that belong to specialized dairies in the Department of Antioquia, Colombia.
View Article and Find Full Text PDFInnovation (Camb)
January 2025
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong (HKU), Hong Kong SAR, China.
In conclusion, the distinct evolution patterns of panzootic influenza A(H5Nx) compared to A(H1N1) and A(H3N2) complicate vaccine development. Effective strategies must consider these unique patterns and the impact of pre-existing immunity. Leveraging AI-based methods for optimized antigen design is essential to mitigate the potential impact of emerging antigenically variable strains and will provide valuable insights for developing more effective vaccines to prepare for future pandemics.
View Article and Find Full Text PDFCancer Pathog Ther
January 2025
School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK.
Cancer is an evolutionary process involving the accumulation of diverse somatic mutations and clonal evolution over time. Phylogenetic inference from samples obtained from an individual patient offers a powerful approach to unraveling the intricate evolutionary history of cancer and provides insights that can inform cancer treatment. Somatic copy number alterations (CNAs) are important in cancer evolution and are often used as markers, alone or with other somatic mutations, for phylogenetic inferences, particularly in low-coverage DNA sequencing data.
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