Except an association with the human papillomavirus, no validated molecular profile of head and neck squamous cell carcinoma (HNSCC) has been established despite the fact that it is the seventh most common form of cancer in the United States.
By analyzing data from DNA microarrays, a UNC-led team has completed a study that confirms the presence of four molecular classes of the disease and extends previous results by suggesting that there may be an underlying connection between the molecular classes and observed genomic events, some of which affect known cancer genes. The clinical relevance of the classes and certain genomic events was demonstrated, thus paving the way for further studies and possible targeted therapies.
The study was published in the Feb. 22, 2013 issue of the journal PLOS ONE.
"However, most common tumors, including head and neck cancer, have relatively little information in the public record as to how these signals coordinate to create different patterns of abnormalities. This study is among the largest ever published to document reproducible molecular tumor subtypes. Subtypes, such as those we describe, represent attractive models to understand and attack cancers for treatment and prognosis."
Dr. Hayes is a member of UNC Lineberger Comprehensive Cancer Center and national co-chair of the Data Analysis Sub-Group for The Cancer Genome Atlas, a program of the National Institutes of Health.
The team, composed of investigators from UNC and five other institutions, analyzed a set of nearly 140 HNSCC samples. By searching for recurrent patterns known as gene expression signatures, they were able to detect four gene expression subtypes. The subtypes are termed basal, mesenchymal, atypical, and classical based on similarities to established gene expression subtypes in other tumor types and expression patterns of specific genes.
In spite of being the seventh most common form of cancer in the United States, HNSCC is relatively under-studied in comparison to other tumor types, e.g. breast and lung. By leveraging the similarities found in the gene expression subtypes, the results of this study provide a connection to a range of well-established findings and additional insight into the disease.