Evidence map›Paper›PMID 42883885›Full record

ArticleInternational journal of molecular sciences2026

Genome-Wide Characterisation of Somatic Mutations Across COSMIC Cancer Cell Lines Enables Gene-Centric Experimental Model Selection.

Ali F Alsulami

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. 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

1 author.

Ali F AlsulamiDepartment of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-6696-7770

Funding

King Abdulaziz University IPP: 1518-130-2026
6 · The paper itself

Abstract

Cancer cell lines are widely used to investigate cancer-associated mutations and evaluate candidate therapeutic compounds, but selecting an appropriate model carrying a specific mutation can be challenging. A genome-wide analysis of somatic mutations across 1020 human cancer cell lines from the COSMIC Cell Lines Project was performed to establish a gene- and variant-centric approach for experimental model selection. Transcript-specific annotations were normalised to gene symbols, and redundant transcript-derived records were removed. The resulting dataset contained 3,937,879 unique somatic mutation events affecting 18,885 genes, including 95,307 mutation events across 579 Cancer Gene Census Tier 1 genes. Substantial variation in mutation burden was observed among cell lines, while recurrent cancer-associated genes, including

Indexed as

MutationNeoplasmsCell Line, TumorGenome, HumanGenome-Wide Association StudyHumanscancer cell linesCancer Gene CensusCOSMIC Cell Lines Projectexperimental model selectionhotspot mutationsprecision oncologysomatic mutations

Identifiers

PMID42883885
PMCPMC13664858

What OpenQuestion holds

Textmetadata
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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.