Evidence map›Paper›PMID 41040212›Full record

ArticlebioRxiv : the preprint server for biology2025

Reproducible autosomal gene expression changes with loss of typical X and Y complement across tumor types.

Seema B Plaisier, Robert Phavong, Mason Farmwald, Mariah Lee, Teagen Allen, Malli Swamy, Ilsa Rodriguez, MacKenzie Wells, Nadia Phaneuf, Susan Christine Massey and 7 more

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

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

17 authors.

Seema B PlaisierSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0000-0002-9093-8400
Robert PhavongSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0000-0001-8488-8315
Mason FarmwaldSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0005-3367-7100
Mariah LeeSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0001-8881-322X
Teagen AllenSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0004-1381-6639
Malli SwamySchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0009-2328-9744
Ilsa RodriguezSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0001-2603-9064
MacKenzie WellsSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0006-2748-3067
Nadia PhaneufSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0000-1745-1658
Susan Christine MasseySchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0000-0002-4680-7796
Jared Del RosarioSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0007-0381-8990
Juvelyn HartSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0009-0009-4973-8974
Alexander MangelsdorfSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.
Martin Van Der JagtSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.
Alex R DeCasienComputational and Evolutionary Neurogenomics Unit, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20852 USA.ORCID 0000-0002-6205-5408
Kenneth H BuetowSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0000-0003-4439-0939
Melissa A WilsonSchool of Life Sciences, Arizona State University, Tempe, Arizona, 85281.ORCID 0000-0002-2614-0285

Funding

Population dynamics and medical consequences of sex chromosome evolutionR35GM124827 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WILSON, MELISSA A · 2017 to 2024
$2.7M
NIGMS NIH HHS R35 GM124827
6 · The paper itself

Abstract

Although there are known sex differences in cancer incidence, severity, and treatment, the sex chromosomes are typically excluded from genomic analyses because of the unique technical challenges associated with assessing their copy number, sequence variation, and expression. Here we assess sex chromosome complement in three widely-used human genomics datasets from normal (non-cancerous) tissues, primary tumors, and cancer cell lines and study the effects on genome-wide gene expression. Expected sex chromosome complements based on reported patient sex were observed in non-cancerous tissues, but about half of tumors and cancer cell lines showed loss of typical sex chromosome gene expression across tissue types with three categories: loss of chromosome Y (LOY), loss of chromosome X (LOX) and reactivation of the inactive X chromosome (XaXa). Genes consistently differentially expressed in tumors with loss of chromosome X, loss of chromosome Y, or loss of X chromosome inactivation are associated with the hallmarks of cancer and include both sex-linked and autosomal genes from nearly all chromosomes, druggable genes, and genes with molecular functions relevant to cancer signaling, such as kinase activity. Strikingly, tumors that are X0, including tumors from female patients that have lost an X chromosome and tumors from male patients that have lost a Y chromosome, cluster together by gene expression profile. Patients with tumors that have LOX or LOY had poorer survival outcomes compared to those with tumors that had maintained their sex chromosome complement. Further, LOX and LOY eliminates nearly all of the differential gene expression between tumors from different patient sexes, affecting sex chromosomal and autosomal gene expression. Going forward, considering patient sex as well as the entire genome, including assessment of the sex chromosome complement, will provide additional insights into personalized tumor etiology, progression, treatment, and patient outcome.

Identifiers

PMID41040212
PMCPMC12485701

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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.