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ID

45195

Description

Principal Investigator: Todd Golub, Broad Institute, Cambridge, MA and Dana Farber Cancer Institute, Boston, MA, USA MeSH: Head and Neck Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000370 This study was the first-known large-scale effort to uncover the mutational spectrum of head and neck cancers. We analyzed whole-exome sequence from 92 tumor-normal pairs and retained 74 of them for significance analysis. The majority exhibited a mutational profile consistent with tobacco exposure; human papilloma virus sequence was detectable in 15% of cases. In addition to identifying previously known HNSCC genes (*TP53, CDKN2A, PTEN, PIK3CA, and HRAS*), the analysis revealed many genes not previously implicated in this malignancy. At least 30% of cases harbor mutations in genes (such as *NOTCH1, IRF6, TP63*) that regulate squamous differentiation, implicating alterations in this process as a major driver of HNSCC carcinogenesis. Altogether, the results suggest that large-scale exome sequencing may illuminate fundamental tumorigenic mechanisms with important therapeutic implications.

Link

dbGaP study = phs000370

Keywords

  1. 8/19/22 8/19/22 - Simon Heim
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Todd Golub, Broad Institute, Cambridge, MA and Dana Farber Cancer Institute, Boston, MA, USA

Uploaded on

October 12, 2022

DOI

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Creative Commons BY 4.0

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    dbGaP phs000370 The Mutational Landscape of Head and Neck Squamous Cell Carcinoma

    pht002382.v2.p1

    pht002382
    Description

    pht002382

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    Sample use. WES_SRA: Whole exome sequencing; individual_MAF: Whole genome or partial SNP genotypes are reported in mutation annotation file (.maf) format
    Description

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    UMLS CUI [1,2]
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    Similar models

    pht002382.v2.p1

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    pht002382
    SUBJID
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    Subject ID
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    C2348585 (UMLS CUI [1,1])
    SAMPID
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    Sample use. WES_SRA: Whole exome sequencing; individual_MAF: Whole genome or partial SNP genotypes are reported in mutation annotation file (.maf) format
    text
    C1524063 (UMLS CUI [1,1])
    C0370003 (UMLS CUI [1,2])

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