Evidence map›Paper›PMID 40401350›Full record

ArticleBriefings in bioinformatics2025

Multicancer analyses of short tandem repeat variations reveal shared gene regulatory mechanisms.

Feifei Xia, Max Adriaan Verbiest, Oxana Lundström, Tugce Bilgin Sonay, Michael Baudis, Maria Anisimova

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2025. 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

6 authors.

Feifei XiaInstitute of Computational Life Sciences, Zurich University of Applied Sciences, Schloss 4, 8820 Wädenswil, Switzerland.ORCID 0009-0000-7380-1050
Max Adriaan VerbiestInstitute of Computational Life Sciences, Zurich University of Applied Sciences, Schloss 4, 8820 Wädenswil, Switzerland.ORCID 0000-0003-3424-0136
Oxana LundströmDepartment of Computer Science and Media Technology, Linnaeus University, Universitetsplatsen 1, 352 52 Växjö, Sweden.ORCID 0000-0002-3238-6011
Tugce Bilgin SonayInstitute of Computational Life Sciences, Zurich University of Applied Sciences, Schloss 4, 8820 Wädenswil, Switzerland.ORCID 0000-0003-0463-7079
Michael BaudisDepartment of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.ORCID 0000-0002-9903-4248
Maria AnisimovaInstitute of Computational Life Sciences, Zurich University of Applied Sciences, Schloss 4, 8820 Wädenswil, Switzerland.ORCID 0000-0001-8145-7966

Funding

Marie Skłodowska-Curie Actions 823886SNSF Sinergia CRSII5_193832
6 · The paper itself

Abstract

Short tandem repeats (STRs) have been reported to influence gene expression across various human tissues. While STR variations are enriched in colorectal, stomach, and endometrial cancers, particularly in microsatellite instable tumors, their functional effects and regulatory mechanisms on gene expression remain poorly understood across these cancer types. Here, we leverage whole-exome sequencing and gene expression data to identify STRs for which repeat lengths are associated with the expression of nearby genes (eSTRs) in colorectal, stomach, and endometrial tumors. While most eSTRs are cancer-specific, shared eSTRs across multiple cancers exhibit consistent effects on gene expression. Notably, coding-region eSTRs identified in all three cancer types show positive correlations with nearby gene expression. We further validate the functional effects of eSTRs by demonstrating associations between somatic eSTR mutations and gene expression changes during the transition from normal to tumor tissues, suggesting their potential roles in tumorigenesis. Combined with DNA methylation data, we perform the first quantitative analysis of the interplay between STR variations and DNA methylation in tumors. We identify eSTRs where repeat lengths are associated with methylation levels of nearby CpG sites (meSTRs) and show that >70% of eSTRs are significantly linked to local DNA methylation. Importantly, the effects of meSTRs on DNA methylation remain consistent across cancer types. Overall, our findings enhance the understanding of how functional STR variations influence gene expression and DNA methylation. Our study highlights shared regulatory mechanisms of STRs across multiple cancers, offering a foundation for future research into their broader implications in tumor biology.

Indexed as

Gene Expression Regulation, NeoplasticMicrosatellite RepeatsNeoplasmsCpG IslandsDNA MethylationFemaleHumansDNA methylationgene expressionmulti-omicsquantitative trait locus analysisshort tandem repeats

Identifiers

PMID40401350
PMCPMC12096010

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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.