ArticlebioRxiv : the preprint server for biology2025
Early
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Background: Somatic mutations commonly accumulate in histologically normal tissues and contribute to cancer development. However, many somatic variants found at high frequencies in normal tissues are also found at high frequencies in cancers arising from the same tissue types. Consequently, the roles of these variants in cancer development remain poorly understood. To address this, we assessed the selective pressures across steps of tumorigenesis, as well as epistasis between driver mutations. Methods: We employed evolutionary modeling to quantify the strength of selection on somatic variants across two key steps of esophageal development: from organogenesis to clonal histologically normal epithelium, and from there to esophageal squamous-cell carcinoma. Analyzing sequence data from 2171 samples, our first-of-its kind model revealed the stepwise contributions of somatic mutations to increased cellular division and survival and their pairwise epistatic effects on driver mutation selection. Results: Conclusions: Our findings demonstrate that early positively selected mutations in
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.