Evidence map›Paper›PMID 42168613›Full record

ReviewNature reviews. Cancer2026

Beyond sex determination: the Y chromosome in male cancers.

Hany A Abdel-Hafiz, Lena Hoelzen, Dan Theodorescu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 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

3 authors.

Hany A Abdel-Hafiz *Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA. abdelhafizh@arizona.edu.ORCID http://orcid.org/0000-0002-5402-5540
Lena Hoelzen *Comprehensive Cancer Center, University of Arizona, Tucson, AZ, USA.
Dan TheodorescuDepartment of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA. theodorescu@arizona.edu.ORCID http://orcid.org/0000-0002-8708-8206

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of the Y chromosome (LOY) is the most prevalent somatic genomic alteration in males and can be detected in both blood and other tissues. Age, environmental exposures, mitotic errors and genetic predisposition converge to drive LOY, often via clonal expansion. Emerging evidence has linked LOY to susceptibility, progression and poor outcomes in multiple cancer types. Here we summarize Y-chromosome evolution, structure and gene content, which is essential for male development, transcriptional regulation, chromatin remodelling, and immune and androgen signalling. We highlight the associations of Y-encoded genes with cancer, spanning increased risk in haematological malignancies to context-dependent prognostic impact of LOY in solid tumours. We discuss functional studies, from CRISPR-induced LOY in cell lines and mouse models to bioinformatic analyses of human cohorts, demonstrating the direct effects of LOY on immune surveillance, DNA repair, metabolism and tumour immune microenvironment remodelling. Collectively, these findings indicate that LOY has context-dependent roles in cancer, but whether LOY is a causal, cooperative or passenger event remains unresolved. Advances in bulk and single-cell sequencing, together with LOY scoring algorithms and non-invasive sampling of blood, urine and buccal cells, now enable precise quantification and longitudinal monitoring, offering new opportunities to relate LOY dynamics to disease risk and progression. Finally, we discuss the implications of LOY as a biomarker for cancer risk and precision therapy, including immunotherapy response and treatment stratification.

Identifiers

PMID42168613

What OpenQuestion holds

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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.