Evidence map›Paper›PMID 41980961›Full record

ArticleNature communications2026

Global impact of germline structural variation on the cancer proteome.

Fengju Chen, Yiqun Zhang, Luis F Paulin, Darshan S Chandrashekar, Sooryanarayana Varambally, Fritz J Sedlazeck, Chad J Creighton

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Fengju ChenDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Yiqun ZhangDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-5058-5623
Luis F PaulinHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2567-3773
Darshan S ChandrashekarGenomic Diagnostics and Bioinformatics, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Sooryanarayana VaramballyO'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID http://orcid.org/0000-0002-2277-1127
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-6040-2691
Chad J CreightonDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA. creighto@bcm.edu.ORCID http://orcid.org/0000-0002-6090-703X

Funding

Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) CA125123Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) S10 OD032185/OD/NIH
6 · The paper itself

Abstract

Proteome and transcriptome data combined can help assess the relevance of non-coding germline variants. Here, we combine germline Structural Variants (SVs) with mass spectrometry-based proteomics on tumors from 1637 cancer patients spanning various tumor tissues of origin to determine the extent SV breakpoint patterns involve differential protein expression of nearby genes. Rare and singleton SVs disrupting protein expression of known cancer susceptibility genes collectively involve 6% of patients. About 24% of the hundreds of genes with SV-associated non-coding cis-regulatory alterations at the mRNA level are similarly associated at the protein level. Both rare and common SVs may associate with differential protein expression within a specific tumor type or across multiple tissue types, including SVs differentially represented by patient ancestry. SVs involving altered methylation of CpG Islands or enhancers are also implicated in differential protein expression. Our results emphasize the contribution of germline SVs to cancer heterogeneity at the proteome level.

Indexed as

Germ CellsGerm-Line MutationNeoplasmsProteomeCpG IslandsDNA MethylationGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMass SpectrometryProteomicsTranscriptomeProteome

Identifiers

PMID41980961
PMCPMC13254347

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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.