Novel insights into head and neck cancer using next-generation "omic" technologies.

Cancer Res

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.

Published: February 2015

AI Article Synopsis

  • Head and neck squamous cell carcinoma (HNSCC) can arise from either tobacco and alcohol exposure or viral infections, primarily HPV, leading to distinct types of the disease.
  • HPV-positive HNSCC tends to have better outcomes compared to HPV-negative cases, which are linked to worse prognoses.
  • Research is focusing on characterizing the molecular differences between HPV(+) and HPV(-) HNSCC to develop reliable biomarkers and targeted therapies for more personalized treatment approaches.

Article Abstract

Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous disease that develops via one of the two primary carcinogenic routes: chemical carcinogenesis through exposure to tobacco and alcohol or virally induced tumorigenesis. Human papillomavirus (HPV)-positive (HPV(+)) and HPV-negative (HPV(-)) HNSCCs represent distinct clinical entities, with the latter associated with significantly inferior outcome. The biologic basis of these different outcomes is an area of intense investigation; their therapeutic regimens are currently also being reevaluated, which would be significantly facilitated by reliable biomarkers for stratification. With the advent of the omics era and accelerated development of targeted therapies, there are unprecedented opportunities to address the challenges in the management of HNSCC. As summarized herein, side-by-side molecular characterization of HPV(+) versus HPV(-) HNSCC has revealed distinct molecular landscapes, novel prognostic signatures, and potentially targetable biologic pathways. In particular, we focus on the evidence acquired from genome-wide omics pertinent to our understanding of the clinical behavior of HNSCC and on insights into personalized treatment opportunities. Integrating, mining, and validating these data toward clinically meaningful outcomes for patients with HNSCC in conjunction with systematic verification of the functional relevance of these findings are critical steps toward the design of personalized therapies.

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Source
http://dx.doi.org/10.1158/0008-5472.CAN-14-3124DOI Listing

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