Evidence map›Paper›PMID 38550998›Full record

ArticleiScience2024

Evolvability of cancer-associated genes under APOBEC3A/B selection.

Joon-Hyun Song, Liliana M Dávalos, Thomas MacCarthy, Mehdi Damaghi

Open access · goldAbstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Human and bats genome robustness under COSMIC mutational signatures.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Joon-Hyun SongStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Liliana M DávalosDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794, USA.
Thomas MacCarthyStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Mehdi DamaghiStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Stony Brook Medicine · USStony Brook University · US

Funding

Ecology and Evolution of Breast CarcinogenesisU01CA261841 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI DAMAGHI, MEHDI, SIQUEIRA SILVA, ARIOSTO S · 2021 to 2025
$3.0M
Modeling the role and regulation of reactive stroma in breast ductal carcinoma microinvasionsR01CA272601 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI DAMAGHI, MEHDI, REJNIAK, KATARZYNA ANNA · 2022 to 2025
$2.9M
NCI NIH HHS R01 CA272601NCI NIH HHS U01 CA261841
6 · The paper itself

Abstract

Evolvability is an emergent hallmark of cancer that depends on intra-tumor heterogeneity and genetic variation. Mutations generated by APOBEC3 contribute to genetic variation and tumor evolvability. However, the influence of APOBEC3 on the evolvability of the genome and its differential impact on cancer genes versus non-cancer genes remains unclear. Analyzing over 40,000 human protein-coding transcripts, we identified distinct distribution patterns of APOBEC3A/B TC motifs between cancer and non-cancer genes, suggesting unique associations with cancer. Studying a bat species with numerous APOBEC3 genes, we found distinct motif patterns in orthologs of cancer genes compared to non-cancer genes, as in humans, suggesting APOBEC3 evolution to reduce impacts on the genome rather than the converse. Simulations confirmed that APOBEC3-induced heterogeneity enhances cancer evolution through bimodal patterns of mutations in certain classes of genes. Our results suggest the bimodal distribution of APOBEC-induced mutations can significantly increase cancer heterogeneity.

Indexed as

BioinformaticsCancerEvolutionary processes

Identifiers

PMID38550998
PMCPMC10972820
OpenAlexW4392520372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.