Evidence map›Paper›PMID 40667321›Full record

ArticlebioRxiv : the preprint server for biology2025

Early

Kira A Glasmacher, Jeffrey D Mandell, Mia Jackson, Nic Fisk, Vincent L Cannataro, Jeffrey P Townsend

Abstract readPreprint
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kira A GlasmacherDepartment of Biology, Emmanuel College, Boston, MA.ORCID 0009-0004-6300-3812
Jeffrey D MandellProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT.ORCID 0000-0002-3839-2543
Mia JacksonProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT.ORCID 0009-0005-4111-6098
Nic FiskDepartment of Cell and Molecular Biology, University of Rhode Island, Kingston, RI.ORCID 0000-0002-1940-393X
Vincent L CannataroDepartment of Biology, Emmanuel College, Boston, MA.ORCID 0000-0002-6364-7747
Jeffrey P TownsendProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT.ORCID 0000-0002-9890-3907

Funding

MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
Phylogenetic approaches to the quantification and serilization of variants enabling cancer theraputic resistance and the reconstruction of etilogically relevant ancestral statesF31CA257288 · NCI · YALE UNIVERSITY · PI FISK, JEFFREY NICHOLAS · 2021 to 2022
$78k
NCI NIH HHS F31 CA257288NLM NIH HHS T15 LM007056
6 · The paper itself

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

Indexed as

EpistasisEsophageal squamous-cell carcinomaNOTCH1 mutationSelectionSomatic evolution

Identifiers

PMID40667321
PMCPMC12262814

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.