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Intra‐tumor heterogeneity in head and neck cancer and its clinical implications

Overview of attention for article published in World Journal of Otorhinolaryngology-Head and Neck Surgery, June 2016
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Title
Intra‐tumor heterogeneity in head and neck cancer and its clinical implications
Published in
World Journal of Otorhinolaryngology-Head and Neck Surgery, June 2016
DOI 10.1016/j.wjorl.2016.05.007
Pubmed ID
Authors

Edmund A. Mroz, James W. Rocco

Abstract

The presence of heritable differences among cancer cells within a tumor, called intra-tumor genetic heterogeneity, has long been suspected of playing a role in poor responses to therapy. Research over the past decade has documented the existence of such heterogeneity within tumors of individual patients and documented its potential clinical significance. The research methods for identifying this heterogeneity were not, however, readily adaptable to widespread clinical application. After a brief review of this background, we describe the development of a measure of intra-tumor genetic heterogeneity, based on whole-exome sequencing of individual tumor samples, that could be applied to biopsy specimens in a clinical setting. This measure has now been used in head and neck squamous cell carcinoma (HNSCC) to document, for the first time, a relation of high intra-tumor genetic heterogeneity to shorter overall survival in a large, multi-institutional study. The implications of heterogeneity for research and clinical care thus now need to be addressed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Ph. D. Student 11 18%
Student > Doctoral Student 8 13%
Researcher 5 8%
Student > Bachelor 5 8%
Other 6 10%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 14 23%
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 5 8%
Physics and Astronomy 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 10%
Unknown 16 27%