Unraveling most abundant mutational signatures in head and neck cancer. Issue 1 (1st October 2020)
- Record Type:
- Journal Article
- Title:
- Unraveling most abundant mutational signatures in head and neck cancer. Issue 1 (1st October 2020)
- Main Title:
- Unraveling most abundant mutational signatures in head and neck cancer
- Authors:
- Plath, Michaela
Gass, Johanna
Hlevnjak, Mario
Li, Qiaoli
Feng, Bohai
Hostench, Xavier Pastor
Bieg, Matthias
Schroeder, Lea
Holzinger, Dana
Zapatka, Marc
Freier, Kolja
Weichert, Wilko
Hess, Jochen
Zaoui, Karim - Abstract:
- Abstract: Genomic alterations are a driving force in the multistep process of head and neck cancer (HNC) and result from the interaction of exogenous environmental exposures and endogenous cellular processes. Each of these processes leaves a characteristic pattern of mutations on the tumor genome providing the unique opportunity to decipher specific signatures of mutational processes operative during HNC pathogenesis and to address their prognostic value. Computational analysis of whole exome sequencing data of the HIPO‐HNC (Heidelberg Center for Personalized Oncology‐head and neck cancer) (n = 83) and TCGA‐HNSC (The Cancer Genome Atlas‐Head and Neck Squamous Cell Carcinoma) (n = 506) cohorts revealed five common mutational signatures (Catalogue of Somatic Mutations in Cancer [COSMIC] Signatures 1, 2, 3, 13 and 16) and demonstrated their significant association with etiological risk factors (tobacco, alcohol and HPV16). Unsupervised hierarchical clustering identified four clusters (A, B, C1 and C2) of which Subcluster C2 was enriched for cases with a higher frequency of signature 16 mutations. Tumors of Subcluster C2 had significantly lower p16 INK4A expression accompanied by homozygous CDKN2A deletion in almost one half of cases. Survival analysis revealed an unfavorable prognosis for patients with tumors characterized by a higher mutation burden attributed to signature 16 as well as cases in Subcluster C2. Finally, a LASSO‐Cox regression model was applied to prioritizeAbstract: Genomic alterations are a driving force in the multistep process of head and neck cancer (HNC) and result from the interaction of exogenous environmental exposures and endogenous cellular processes. Each of these processes leaves a characteristic pattern of mutations on the tumor genome providing the unique opportunity to decipher specific signatures of mutational processes operative during HNC pathogenesis and to address their prognostic value. Computational analysis of whole exome sequencing data of the HIPO‐HNC (Heidelberg Center for Personalized Oncology‐head and neck cancer) (n = 83) and TCGA‐HNSC (The Cancer Genome Atlas‐Head and Neck Squamous Cell Carcinoma) (n = 506) cohorts revealed five common mutational signatures (Catalogue of Somatic Mutations in Cancer [COSMIC] Signatures 1, 2, 3, 13 and 16) and demonstrated their significant association with etiological risk factors (tobacco, alcohol and HPV16). Unsupervised hierarchical clustering identified four clusters (A, B, C1 and C2) of which Subcluster C2 was enriched for cases with a higher frequency of signature 16 mutations. Tumors of Subcluster C2 had significantly lower p16 INK4A expression accompanied by homozygous CDKN2A deletion in almost one half of cases. Survival analysis revealed an unfavorable prognosis for patients with tumors characterized by a higher mutation burden attributed to signature 16 as well as cases in Subcluster C2. Finally, a LASSO‐Cox regression model was applied to prioritize clinically relevant signatures and to establish a prognostic risk score for head and neck squamous cell carcinoma patients. In conclusion, our study provides a proof of concept that computational analysis of somatic mutational signatures is not only a powerful tool to decipher environmental and intrinsic processes in the pathogenesis of HNC, but could also pave the way to establish reliable prognostic patterns. Abstract : What's new? Progression of head and neck squamous cell carcinoma (HNSCC) is associated with the accumulation of multiple genetic and epigenetic alterations. Elucidating these mutational processes and their connections to tumor etiology and progression could have significant implications for HNSCC diagnosis and treatment. Here, using various computational analyses, the authors identified five mutational signatures in the COSMIC database associated specifically with HNSCC etiological risk factors and clinical outcome. Tumors with a high frequency of COSMIC signature 16 mutations had reduced p16 INK4A expression with homozygous CDKN2A deletion, which may represent a critical step in the pathogenesis of a distinct HNSCC subgroup. … (more)
- Is Part Of:
- International journal of cancer. Volume 148:Issue 1(2021)
- Journal:
- International journal of cancer
- Issue:
- Volume 148:Issue 1(2021)
- Issue Display:
- Volume 148, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 148
- Issue:
- 1
- Issue Sort Value:
- 2021-0148-0001-0000
- Page Start:
- 115
- Page End:
- 127
- Publication Date:
- 2020-10-01
- Subjects:
- etiological risk factors -- HNC -- mutational signature -- pathogenesis -- prognostic pattern -- whole exome sequencing
Cancer -- Periodicals
Cancer -- Prevention -- Periodicals
616.994 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0215 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ijc.33297 ↗
- Languages:
- English
- ISSNs:
- 0020-7136
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.156000
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British Library HMNTS - ELD Digital store - Ingest File:
- 26936.xml