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- W2088891952 abstract "Benjamin Raphael and colleagues report an analysis of altered subnetworks of somatic aberrations in TCGA pan-cancer data sets, including 3,281 samples from 12 cancer types, using a newly developed HotNet2 algorithm. They identify 16 significantly mutated subnetworks and provide a more comprehensive view into altered pathways, including those with known roles in cancer development. Cancers exhibit extensive mutational heterogeneity, and the resulting long-tail phenomenon complicates the discovery of genes and pathways that are significantly mutated in cancer. We perform a pan-cancer analysis of mutated networks in 3,281 samples from 12 cancer types from The Cancer Genome Atlas (TCGA) using HotNet2, a new algorithm to find mutated subnetworks that overcomes the limitations of existing single-gene, pathway and network approaches. We identify 16 significantly mutated subnetworks that comprise well-known cancer signaling pathways as well as subnetworks with less characterized roles in cancer, including cohesin, condensin and others. Many of these subnetworks exhibit co-occurring mutations across samples. These subnetworks contain dozens of genes with rare somatic mutations across multiple cancers; many of these genes have additional evidence supporting a role in cancer. By illuminating these rare combinations of mutations, pan-cancer network analyses provide a roadmap to investigate new diagnostic and therapeutic opportunities across cancer types." @default.
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- W2088891952 date "2014-12-15" @default.
- W2088891952 modified "2023-10-11" @default.
- W2088891952 title "Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes" @default.
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- W2088891952 doi "https://doi.org/10.1038/ng.3168" @default.
- W2088891952 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4444046" @default.
- W2088891952 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25501392" @default.
- W2088891952 hasPublicationYear "2014" @default.
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