Sex and smoking bias in the selection of somatic mutations in human bladder

Men are at higher risk of several cancer types than women<sup>1</sup>. For bladder cancer the risk is four times higher for reasons that are not clear<sup>2</sup>. Smoking is also a principal risk factor for several tumour types, including bladder cancer<sup>3</sup>. As tumourigenesis is driven by somatic mutations, we wondered whether the landscape of clones in the normal bladder differs by sex and smoking history. Using ultradeep duplex DNA sequencing (approximately 5,000×), we identified thousands of clonal driver mutations in 16 genes across 79 normal bladder samples from 45 people. Men had significantly more truncating driver mutations in RBM10, CDKN1A and ARID1A than women, despite similar levels of non-protein-affecting mutations. This result indicates stronger positive selection on driver truncating mutations in these genes in the male urothelium. We also found activating TERT promoter mutations driving clonal expansions in the normal bladder that were associated strongly with age and smoking. These findings indicate that bladder cancer risk factors, such as sex and smoking, shape the clonal landscape of the normal urothelium. The high number of mutations identified by this approach offers a new strategy to study the functional effect of thousands of mutations in vivo-natural saturation mutagenesis-that can be extended to other human tissues.

Authors

Institutions

Publication Details

Journal
Nature
Published
2025-10-08
DOI
https://doi.org/10.1038/s41586-025-09521-x
Citations
5
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
4.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex and smoking bias in the selection of somatic mutations in human bladder

Joan E. Ramis-Zaldivar, Maria Tretiakova, Miguel L. Grau, Ferriol Calvet et al.
5 citations
Nature
Epigenetics and DNA Methylation
4.03
article

Sex and smoking bias in the selection of somatic mutations in human bladder

Joan E. Ramis-Zaldivar, Maria Tretiakova, Miguel L. Grau, Ferriol Calvet, Elana Thieme, Ferran Muiños, Rosa Ana Risques, Elena Latorre‐Esteves, Núria López-Bigas, Axel Rosendahl Huber, Abel González-Pérez, Brendan F. Kohrn, Maria Andrianova, Raquel Blanco Martínez-Illescas, So-Yeon An, Stefano Pellegrini, Jeanne Fredrickson
article en
5 citations

Abstract

Men are at higher risk of several cancer types than women<sup>1</sup>. For bladder cancer the risk is four times higher for reasons that are not clear<sup>2</sup>. Smoking is also a principal risk factor for several tumour types, including bladder cancer<sup>3</sup>. As tumourigenesis is driven by somatic mutations, we wondered whether the landscape of clones in the normal bladder differs by sex and smoking history. Using ultradeep duplex DNA sequencing (approximately 5,000×), we identified thousands of clonal driver mutations in 16 genes across 79 normal bladder samples from 45 people. Men had significantly more truncating driver mutations in RBM10, CDKN1A and ARID1A than women, despite similar levels of non-protein-affecting mutations. This result indicates stronger positive selection on driver truncating mutations in these genes in the male urothelium. We also found activating TERT promoter mutations driving clonal expansions in the normal bladder that were associated strongly with age and smoking. These findings indicate that bladder cancer risk factors, such as sex and smoking, shape the clonal landscape of the normal urothelium. The high number of mutations identified by this approach offers a new strategy to study the functional effect of thousands of mutations in vivo-natural saturation mutagenesis-that can be extended to other human tissues.

NatureVol. 647(8089)
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat Pompeu Fabra (ES), University of Washington (US), Instituto de Salud Carlos III (ES), Institute for Research in Biomedicine (ES), Centro de Investigación Biomédica en Red de Cáncer (ES)
Openalex Percentile: Top 6%
Epigenetics and DNA Methylation
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.