ArticleScientific reports2024
Evaluation of whole genome sequencing utility in identifying driver alterations in cancer genome.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Novel CYP2A7/CYP2A6 germline hybrids associated with mutation burden in lung cancer revealed by whole-genome long-read sequencing.Scientific reports · 2025Article
- Advances in Precision Oncology: From Molecular Profiling to Regulatory-Approved Targeted Therapies.Cancers · 2025Review
- Allelic Imbalance and Chromothripsis Lead to Diversity in Japanese Tumor Genomes With Whole-Genome Duplication.Cancer science · 2025Article
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Authors and funding
38 authors.
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Abstract
In cancer genome analysis, identifying pathogenic alterations and assessing their effects on oncogenic processes is important. Although whole exome sequencing (WES) can effectively detect such changes, driver alterations could not be identified in 27.8% of the cases, according to a previous study. The objectives of the present study were to evaluate the utility of whole genome sequencing (WGS) and clarify its differences with WES in terms of driver alteration detection. For this purpose, WGS analysis was conducted on 177 driverless WES samples, selected from 5,480 fresh frozen samples derived from 5,140 Japanese patients with cancer. These samples were selected as primary tumor, both WES and transcriptome profiling were performed, estimated tumor content of ≥ 30%, and no driver alterations were identified by WES. WGS identified driver and likely driver alterations in 68.4 and 22.6% of the samples, respectively. The most frequent alteration type was oncogene amplification, followed by tumor suppressor gene deletion and small variants located outside the coding region. In the remaining 9.0% of samples, no such signals were identified; therefore, further investigations are required. The current study clearly demonstrated the role and utility of WGS in identifying genomic alterations that contribute to tumorigenesis.
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