Evidence of active whole-genome doubling (WGD) subclones in non-WGD tumors

Whole-genome doubling (WGD) occurs frequently in human cancer and influences tumor evolution, metastasis, and treatment response. Here, we integrate bulk, single-cell, and spatial data to dissect the subclonal dynamics of WGD. Single-cell data analysis shows that WGD cells are prevalent even in tumors that are classified as non-WGD (nWGD). WGD subclones actively acquire somatic copy number alterations as they expand, suggesting ongoing evolution. We developed and rigorously validated a gene expression–based method, WAGES, to map WGD cell clonal fraction in bulk tumors. Applying WAGES to nWGD tumors, we reveal genomic correlates including TP53 mutations and chromosomal instability that are consistent with the presence of WGD subclones. Clinically, WAGES scores are strongly correlated with tumor metastatic potential, response to treatments including chemotherapy and immunotherapy, and patient prognosis. These findings reveal widespread WGD subclones in nWGD tumors and demonstrate their substantial impact on cancer evolution and therapeutic outcomes.

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Publication Details

Journal
Science Advances
Published
2026-10-30
DOI
https://doi.org/10.1126/sciadv.aee7939
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Evidence of active whole-genome doubling (WGD) subclones in non-WGD tumors

Siyuan Zheng, Xiaojing Wang, Misbah Noureen, Eloise V. Dray et al.
1 links
Science Advances
Cancer Genomics and Diagnostics
article

Evidence of active whole-genome doubling (WGD) subclones in non-WGD tumors

Siyuan Zheng, Xiaojing Wang, Misbah Noureen, Eloise V. Dray, Myron S. Ignatius, Funan He
article en

Abstract

Whole-genome doubling (WGD) occurs frequently in human cancer and influences tumor evolution, metastasis, and treatment response. Here, we integrate bulk, single-cell, and spatial data to dissect the subclonal dynamics of WGD. Single-cell data analysis shows that WGD cells are prevalent even in tumors that are classified as non-WGD (nWGD). WGD subclones actively acquire somatic copy number alterations as they expand, suggesting ongoing evolution. We developed and rigorously validated a gene expression–based method, WAGES, to map WGD cell clonal fraction in bulk tumors. Applying WAGES to nWGD tumors, we reveal genomic correlates including TP53 mutations and chromosomal instability that are consistent with the presence of WGD subclones. Clinically, WAGES scores are strongly correlated with tumor metastatic potential, response to treatments including chemotherapy and immunotherapy, and patient prognosis. These findings reveal widespread WGD subclones in nWGD tumors and demonstrate their substantial impact on cancer evolution and therapeutic outcomes.

Science AdvancesVol. 12(44)
The University of Texas at San Antonio Health Science Center (US), Mays Cancer Center at UT Health San Antonio (US)
American Cancer Society, Cancer Prevention and Research Institute of Texas, National Institute of General Medical Sciences, National Institute of Environmental Health Sciences
Good health and well-being
Openalex Percentile: Top 95%
Cancer Genomics and Diagnostics
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