Evidence map›Paper›PMID 41686643›Full record

ArticleSTAR protocols2026

Protocol for quantifying interaction patterns among genomic alterations in cancer.

Adrián Maqueda-Real, Seokjin Ham, Laia Ollé-Monràs, Solip Park

Abstract read
In one paragraph

Article in STAR protocols, 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

4 authors.

Adrián Maqueda-RealCancer Genomics Program, Centro Nacional de Investigaciones Oncológicas (CNIO), 28029 Madrid, Spain.
Seokjin HamCancer Genomics Program, Centro Nacional de Investigaciones Oncológicas (CNIO), 28029 Madrid, Spain.
Laia Ollé-MonràsVall d'Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain.
Solip ParkCancer Genomics Program, Centro Nacional de Investigaciones Oncológicas (CNIO), 28029 Madrid, Spain. Electronic address: solippark@cnio.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Publicly available large-scale cancer datasets allow for the systematic analysis of complex genomic alteration associations in tumorigenesis. Here, we present a protocol to quantify diverse interaction patterns between genomic alterations. We describe steps to prepare a binarized alteration matrix and analyze mutation-copy number alteration (CNA) associations, including pairwise, high-order, and context-dependent associations. This protocol enables the analysis of context-specific genetic interactions. For complete details on the use and execution of this protocol, please refer to Maqueda-Real et al.

Indexed as

Computational BiologyGenomicsNeoplasmsDNA Copy Number VariationsHumansMutationBioinformaticsCancerGenomicsSequencingSystems biology

Identifiers

PMID41686643
PMCPMC12915222

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.