Segregating DNA lesions point to high selective advantage of tumor initiating cells
Seplyarskiy, V.; Shady, M.; Andrianova, M. A.; Chapman, M. S.; Van Allen, E.; Sunyaev, S. R.
Show abstract
The complications with identifying cells at the origin of cancer and tracking their early divisions impede studies of cancer initiation. Recently, it was shown that some DNA lesions generated by a pulse of damage-inducing mutagen persist over multiple rounds of replication. Segregation of DNA lesions in the early genealogy of an expanding clone leaves a statistically interpretable footprint of cancer initiating events. Specifically, it allows for estimating the number of cell divisions between the initiating DNA lesion and the most recent common ancestor of the tumor. Here, we analyze footprints of segregating lesions from a previously published experimental mouse system, as well as post-chemotherapy human metastatic tumors and the blood of chemotherapy treated patients. In all contexts, clones tend to start early, usually within the span of 4 cell generations from mutagen exposure. Using a branching process model, we show that fitness advantage of early cancer drivers exceeds 30%, with each early division leading to at least 1.3 self-renewing cells. We highlight an example of a blood-derived single cell phylogeny with major subclones separated by just two cell divisions. Broadly, our approach allows inference of tumor initiation and growth parameters based on events preceding the most recent common ancestor of the initiating clone as opposed to characteristics of fully grown tumors.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Most cancers carry a substantial deleterious load due to Hill-Robertson interference 97%
- The landscape of antibody binding affinity in SARS-CoV-2 Omicron BA.1 evolution 95%
- Quantifying chromosomal instability from intratumoral karyotype diversity using agent-based modeling and Bayesian inference 94%
Similar papers in this journal
Similar papers in this journal
- Cell cycle alterations associate with a redistribution of mutation rates across chromosomal domains in human cancers 96%
- Dissecting mutational mechanisms underpinning signatures caused by replication errors and endogenous DNA damage 95%
- Cancer-associated fibroblast compositions change with breast cancer progression linking S100A4 and PDPN ratios with clinical outcome 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.