Evidence map›Paper›PMID 41332599›Full record

ArticlebioRxiv : the preprint server for biology2025

Sex differences in gene regulation and its impact on cancer incidence.

Camila M Lopes-Ramos, Rebekka Burkholz, Marouen Ben Guebila, Viola Fanfani, Enakshi Saha, Katherine H Shutta, Kimberly Glass, John Quackenbush, Dawn L DeMeo

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Camila M Lopes-RamosDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0003-0284-7371
Rebekka BurkholzCISPA Helmholtz Center for Information Security, Saarbru cken, Germany.
Marouen Ben GuebilaDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Viola FanfaniDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0003-3852-6908
Enakshi SahaDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, USA.
Katherine H ShuttaDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0003-0402-3771
Kimberly GlassDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
John QuackenbushDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-2702-5879
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA 02115.

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SILVERMAN, EDWIN K · 2013 to 2025
$24.9M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
Leveraging Variant-perturbed Gene Regulation to Support Precision Medicine in COPDR01HL155749 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Kimberly Renee Glass · 2022 to 2026
$4.2M
WebMeV: A Robust Platform for Intuitive Genomic Data AnalysisU24CA231846 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2019 to 2023
$3.2M
Networks Tools to Understand Sex- and Gender-Specific Drivers of DiseaseR01HG011393 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L, QUACKENBUSH, JOHN · 2021 to 2024
$2.1M
Sex chromosome gene regulatory networks and COPDK01HL166376 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOPES-RAMOS, CAMILA · 2023 to 2024
$324k
NCI NIH HHS P50 CA127003NCI NIH HHS R35 CA220523NCI NIH HHS U24 CA231846NHGRI NIH HHS R01 HG011393NHLBI NIH HHS K01 HL166376NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL155749NHLBI NIH HHS T32 HL007427
6 · The paper itself

Abstract

Sex differences in the incidence rates of many cancer types are well-documented. While differences in lifestyle, environmental exposures, and hormone levels can influence disease risk and incidence, there is limited understanding of how cancer driver genes are differentially regulated between males and females in normal tissues, and how these differences may contribute to the observed sex differences in cancer epidemiology. We studied 8,279 gene regulatory networks across 29 non-cancerous tissues in the GTEx dataset, referred here as normal tissues. Using network centrality measures, we compared the networks between males and females, focusing on interactions between 644 transcription factors and 476 cancer genes (COSMIC Cancer Gene Census). Cancer genes were differentially targeted by transcription factors in males and females across normal tissues. We found an overrepresentation of sex-biased cancer genes on the X chromosome, particularly among genes escaping X chromosome inactivation, with higher regulatory targeting of tumor suppressor genes in females compared to males. Key signaling pathways, including WNT, NOTCH, and p53, showed differential transcriptional targeting by sex. We observed higher targeting of cancer-related pathways in females for tissues that have higher tumor incidence in females (breast, lung, and thyroid) and higher targeting in males for tissues with increased tumor incidence in males (stomach, colon, and liver). Sex-biased transcription factors that were consistently observed across multiple tissues are enriched for sex hormone response elements in their promoters. Our findings showed that normal tissues have sex-biased regulation of genes implicated in tumorigenesis, helping to explain the molecular basis of sex differences observed in cancer incidence rates and in identifying targets for cancer prevention in a sex-aware manner.

Identifiers

PMID41332599
PMCPMC12667819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.