Literature DB >> 24718888

The mutational spectrum of squamous-cell carcinoma of the head and neck: targetable genetic events and clinical impact.

G Mountzios1, T Rampias2, A Psyrri3.   

Abstract

Squamous-cell cancer of the head and neck (SCCHN) represents a heterogeneous disease entity, with various etiological factors implicated in the genesis of distinct molecular subsets of tumors, which exhibit different biological and clinical behavior. Treatment of SCCHN is expected to change in the next decade as targeted therapies continue to make strides. Recently, next-generation sequencing studies conducted on ∼190 SCCHN specimens shed light into the molecular pathogenesis of the disease. These studies discovered mutations in genes involved in the differentiation program of squamous epithelium and the Notch/p63 axis (such as NOTCH1, TP63 and FBXW7), and validated genetic alterations derived from previous studies (such as mutations in TP53, CDKN2A, PIK3CA, CCND1 and HRAS) as driver genetic events in SCCHN neoplastic transformation. More recently, comprehensive data from The Cancer Genome Atlas (TCGA) project on 306 SCCHN specimens provided further insight into SCCHN inherent molecular complexity, identifying novel significantly mutated genes, including FAT1, MLL2, TGFRBR2, HLA-A, NFE2l2 and CASP8. In this article, we provide an overview of the mutational spectrum of SCCHN, with emphasis on the clinical implementation of this knowledge. We also discuss the potential integration of new data within the framework of precision cancer medicine.
© The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  SCCHN; deep sequencing; genetic aberrations; somatic mutations

Mesh:

Substances:

Year:  2014        PMID: 24718888     DOI: 10.1093/annonc/mdu143

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  35 in total

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2.  The influence of FCGR2A and FCGR3A polymorphisms on the survival of patients with recurrent or metastatic squamous cell head and neck cancer treated with cetuximab.

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3.  Clinical benefit of nanoparticle albumin-bound-paclitaxel in recurrent/metastatic head and neck squamous cell carcinoma resistant to cremophor-based paclitaxel or docetaxel.

Authors:  Jessica Ley; Tanya M Wildes; Kristin Daly; Peter Oppelt; Douglas Adkins
Journal:  Med Oncol       Date:  2017-01-11       Impact factor: 3.064

Review 4.  Applications of molecular testing in surgical pathology of the head and neck.

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Journal:  Mod Pathol       Date:  2017-01       Impact factor: 7.842

5.  Clinical and Molecular Characterization of Surgically Treated Oropharynx Squamous Cell Carcinoma Samples.

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Review 6.  Emerging drugs for head and neck cancer.

Authors:  Yihui Wen; Jennifer R Grandis
Journal:  Expert Opin Emerg Drugs       Date:  2015-03-31       Impact factor: 4.191

7.  Mutational Status of CDKN2A and TP53 Genes in Laryngeal Squamous Cell Carcinoma.

Authors:  Teodora A Todorova; Stanislav H Jordanov; Gergana S Stancheva; Ivan J Chalakov; Mincho B Melnicharov; Kuncho V Kunev; Vanio I Mitev; Radka P Kaneva; Teodora E Goranova
Journal:  Pathol Oncol Res       Date:  2014-08-23       Impact factor: 3.201

8.  Effect of human papillomavirus seropositivity and E2F2 promoter variants on risk of squamous cell carcinomas of oropharynx and oral cavity.

Authors:  Yuncheng Li; Erich M Sturgis; Ying Yuan; Meixia Lu; Xiaoli Cao; Qingyi Wei; Guojun Li
Journal:  Carcinogenesis       Date:  2016-11-01       Impact factor: 4.944

9.  The genomic landscape of UM-SCC oral cavity squamous cell carcinoma cell lines.

Authors:  Megan L Ludwig; Aditi Kulkarni; Andrew C Birkeland; Nicole L Michmerhuizen; Susan K Foltin; Jacqueline E Mann; Rebecca C Hoesli; Samantha N Devenport; Brittany M Jewell; Andrew G Shuman; Matthew E Spector; Thomas E Carey; Hui Jiang; J Chad Brenner
Journal:  Oral Oncol       Date:  2018-11-08       Impact factor: 5.337

Review 10.  Using drug response data to identify molecular effectors, and molecular "omic" data to identify candidate drugs in cancer.

Authors:  William C Reinhold; Sudhir Varma; Vinodh N Rajapakse; Augustin Luna; Fabricio Garmus Sousa; Kurt W Kohn; Yves G Pommier
Journal:  Hum Genet       Date:  2014-09-12       Impact factor: 4.132

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