1. Moving towards personalised therapy in head and neck squamous cell carcinoma through analysis of next generation sequencing data.
- Author
-
Giefing M, Wierzbicka M, Szyfter K, Brenner JC, Braakhuis BJ, Brakenhoff RH, Bradford CR, Sorensen JA, Rinaldo A, Rodrigo JP, Takes RP, and Ferlito A
- Subjects
- Animals, Carcinoma, Squamous Cell pathology, Comparative Genomic Hybridization, Genetic Predisposition to Disease, Head and Neck Neoplasms pathology, Humans, Patient Selection, Phenotype, Predictive Value of Tests, Squamous Cell Carcinoma of Head and Neck, Treatment Outcome, Antineoplastic Agents therapeutic use, Biomarkers, Tumor genetics, Carcinoma, Squamous Cell drug therapy, Carcinoma, Squamous Cell genetics, Genetic Testing methods, Head and Neck Neoplasms drug therapy, Head and Neck Neoplasms genetics, High-Throughput Nucleotide Sequencing, Precision Medicine
- Abstract
Personalised medicine tumour boards, which leverage genomic data to improve clinical management, are becoming standard for the treatment of many cancers. This paper is designed as a primer to assist clinicians treating head and neck squamous cell carcinoma (HNSCC) patients with an understanding of the discovery and functional impact of recurrent genetic lesions that are likely to influence the management of this disease in the near future. This manuscript integrates genetic data from publicly available array comparative genome hybridization (aCGH) and next-generation sequencing genetics databases to identify the most common molecular alterations in HNSCC. The importance of these genetic discoveries is reviewed and how they may be incorporated into clinical care decisions is discussed. Considerations for the role of genetic stratification in the clinical management of head and neck cancer are maturing rapidly and can be improved by integrating data sets. This article is meant to summarise the discoveries made using multiple genomic platforms so that the head and neck cancer care provider can apply these discoveries to improve clinical care., (Copyright © 2015 Elsevier Ltd. All rights reserved.)
- Published
- 2016
- Full Text
- View/download PDF