Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution

Dian Yang(Howard Hughes Medical Institute), Matthew G. Jones(QB3), Santiago Naranjo(Massachusetts Institute of Technology), William M. Rideout(Massachusetts Institute of Technology), Kyung Hoi Min(Whitehead Institute for Biomedical Research), Raymond Ho(Howard Hughes Medical Institute), Wei Wu(University of California, San Francisco), Joseph M. Replogle(Howard Hughes Medical Institute), Jennifer L. Page(University of California, San Francisco), Jeffrey J. Quinn(Howard Hughes Medical Institute), Felix Horns(California Institute of Technology), Xiaojie Qiu(Howard Hughes Medical Institute), Michael Z. Chen(Harvard University), William A. Freed-Pastor(Harvard University), Christopher S. McGinnis(University of California, San Francisco), David M. Patterson(University of California, San Francisco), Zev J. Gartner(University of California, San Francisco), Eric D. Chow(University of California, San Francisco), Trever G. Bivona(University of California, San Francisco), Michelle M. Chan(Princeton University), Nir Yosef(University of California, San Francisco), Tyler Jacks(Massachusetts Institute of Technology), Jonathan S. Weissman(Howard Hughes Medical Institute)
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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.


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