Evidence map›Paper›PMID 39987288›Full record

ArticleCommunications biology2025

Defective X-chromosome inactivation and cancer risk in women.

Alejandro Cáceres, Luis A Pérez-Jurado, Albert Alegret-García, Varun B Dwaraka, Ryan Smith, Juan R González

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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.

Alejandro CáceresInstituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain. alejandro.caceres@isglobal.org.ORCID http://orcid.org/0000-0001-8551-6695
Luis A Pérez-JuradoGenetics Unit, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1988-3005
Albert Alegret-GarcíaInstituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain.ORCID http://orcid.org/0009-0009-5420-1311
Varun B DwarakaTruDiagnostic, Lexington, KY, USA.
Ryan SmithTruDiagnostic, Lexington, KY, USA.
Juan R GonzálezInstituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain.ORCID http://orcid.org/0000-0003-3267-2146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-chromosome inactivation (XCI) is a fundamental mechanism in placental mammals that compensates for gene dosage differences between sexes. Using methylation levels of genes under XCI, we establish defective levels of XCI as a new source of interindividual variation among cancer types in females, characterized by a significant and consistent lowering of XIST expression and enrichment of differentially expressed genes under XCI. We show that defective XCI is an additive factor to the cancer risk of XCI escape deregulation in women. Defective XCI of more than 10% has an attributable risk of 40% among 12 different cancers from The Cancer Genome Atlas. Validations between independent studies of breast cancer samples show that defective XCI increases triple-negative subtype frequency, decreases survival rates, and is reduced by chemotherapy treatment. Mechanistically, it is associated with somatic mutations at TP53 and top MYC gains. In independent studies, defective XCI is detectable in blood and increases with aging, menopause, and cancer diagnosis.

Indexed as

NeoplasmsX Chromosome InactivationDNA MethylationFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMutationRNA, Long NoncodingRNA, Long NoncodingXIST non-coding RNA

Identifiers

PMID39987288
PMCPMC11846847

What OpenQuestion holds

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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.