| Literature DB >> 35523183 |
Dian Yang1, Matthew G Jones2, Santiago Naranjo3, William M Rideout4, Kyung Hoi Joseph Min5, Raymond Ho1, Wei Wu6, Joseph M Replogle7, Jennifer L Page8, Jeffrey J Quinn9, Felix Horns10, Xiaojie Qiu1, Michael Z Chen11, William A Freed-Pastor12, Christopher S McGinnis13, David M Patterson14, Zev J Gartner15, Eric D Chow16, Trever G Bivona6, Michelle M Chan17, Nir Yosef18, Tyler Jacks19, Jonathan S Weissman20.
Abstract
Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth and expansion to neighboring and distal tissues. The study of phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout into a mouse model of Kras;Trp53(KP)-driven lung adenocarcinoma and tracked tumor evolution from single-transformed cells to metastatic tumors at unprecedented resolution. We found that the loss of the initial, stable alveolar-type2-like state was accompanied by a transient increase in plasticity. This was followed by the adoption of distinct transcriptional programs that enable rapid expansion and, ultimately, clonal sweep of stable subclones capable of metastasizing. Finally, tumors develop through stereotypical evolutionary trajectories, and perturbing additional tumor suppressors accelerates progression by creating novel trajectories. Our study elucidates the hierarchical nature of tumor evolution and, more broadly, enables in-depth studies of tumor progression.Entities:
Keywords: fitness; genetically engineered mouse model; lineage tracing; lung cancer; phylogenetics; plasticity; single cell; transcriptome heterogeneity; tumor evolution
Mesh:
Year: 2022 PMID: 35523183 PMCID: PMC9452598 DOI: 10.1016/j.cell.2022.04.015
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850