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

Authors :
Massachusetts Institute of Technology. Department of Biology
Yang, Dian
Jones, Matthew G
Naranjo, Santiago
Rideout, William M
Min, Kyung Hoi Joseph
Ho, Raymond
Wu, Wei
Replogle, Joseph M
Page, Jennifer L
Quinn, Jeffrey J
Horns, Felix
Qiu, Xiaojie
Chen, Michael Z
Freed-Pastor, William A
McGinnis, Christopher S
Patterson, David M
Gartner, Zev J
Chow, Eric D
Bivona, Trever G
Chan, Michelle M
Yosef, Nir
Jacks, Tyler
Weissman, Jonathan S
Massachusetts Institute of Technology. Department of Biology
Yang, Dian
Jones, Matthew G
Naranjo, Santiago
Rideout, William M
Min, Kyung Hoi Joseph
Ho, Raymond
Wu, Wei
Replogle, Joseph M
Page, Jennifer L
Quinn, Jeffrey J
Horns, Felix
Qiu, Xiaojie
Chen, Michael Z
Freed-Pastor, William A
McGinnis, Christopher S
Patterson, David M
Gartner, Zev J
Chow, Eric D
Bivona, Trever G
Chan, Michelle M
Yosef, Nir
Jacks, Tyler
Weissman, Jonathan S
Source :
Elsevier
Publication Year :
2022

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.

Details

Database :
OAIster
Journal :
Elsevier
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1370256302
Document Type :
Electronic Resource