ArticleScientific reports2017
Signatures of positive selection reveal a universal role of chromatin modifiers as cancer driver genes.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
- Cancer gene identification from RNA variant allelic frequencies using RVdriver.Genome biology · 2025Article
- Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight.PLoS computational biology · 2025Article
- A Comparative Genomic Study of Conventional and Undifferentiated Melanoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024Article
- A Novel Affordable and Reliable Framework for Accurate Detection and Comprehensive Analysis of Somatic Mutations in Cancer.International journal of molecular sciences · 2024Article
- Immune evasion impacts the landscape of driver genes during cancer evolution.Genome biology · 2024Article
- Strength of selection in lung tumors correlates with clinical features better than tumor mutation burden.Scientific reports · 2024Article
- Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks.Briefings in bioinformatics · 2024Review
- Mismatch repair deficiency is not sufficient to elicit tumor immunogenicity.Nature genetics · 2023Article
- Integrating somatic CNV and gene expression in breast cancers from women with PTEN hamartoma tumor syndrome.NPJ genomic medicine · 2023Article
- Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors.Nature genetics · 2023Article
- Article
- Exome sequencing reveals a distinct somatic genomic landscape in breast cancer from women with germline PTEN variants.American journal of human genetics · 2022Article
- Preneoplastic somatic mutations includingScience advances · 2022Article
- Molecular Features in Lymphatic Metastases Reflect the Metastasis Mechanism of Lymph Nodes With Non-Small-Cell Lung Cancers.Frontiers in bioengineering and biotechnology · 2022Article
- Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes.Nature communications · 2021Observational
- The rate and spectrum of mosaic mutations during embryogenesis revealed by RNA sequencing of 49 tissues.Genome medicine · 2020Article
- Clonal selection confers distinct evolutionary trajectories in BRAF-driven cancers.Nature communications · 2019Article
- Maftools: efficient and comprehensive analysis of somatic variants in cancer.Genome research · 2018Article
- Tissue-specific DNA methylation loss during ageing and carcinogenesis is linked to chromosome structure, replication timing and cell division rates.Nucleic acids research · 2018Article
- Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.Genome biology · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumors are composed of an evolving population of cells subjected to tissue-specific selection, which fuels tumor heterogeneity and ultimately complicates cancer driver gene identification. Here, we integrate cancer cell fraction, population recurrence, and functional impact of somatic mutations as signatures of selection into a Bayesian model for driver prediction. We demonstrate that our model, cDriver, outperforms competing methods when analyzing solid tumors, hematological malignancies, and pan-cancer datasets. Applying cDriver to exome sequencing data of 21 cancer types from 6,870 individuals revealed 98 unreported tumor type-driver gene connections. These novel connections are highly enriched for chromatin-modifying proteins, hinting at a universal role of chromatin regulation in cancer etiology. Although infrequently mutated as single genes, we show that chromatin modifiers are altered in a large fraction of cancer patients. In summary, we demonstrate that integration of evolutionary signatures is key for identifying mutational driver genes, thereby facilitating the discovery of novel therapeutic targets for cancer treatment.
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