Title
Gene expression analysis of head and neck squamous cell carcinoma survival and recurrence
Abbreviated Journal Title
Oncogene
Keywords
PCR array; cancer pathway; gene expression; oral cancer; CANCER; INDUCTION; PROGNOSIS; MICE; Oncology; Cell Biology
Abstract
The squamous cell carcinomas represent about 90 % of all head and neck cancers, ranking the sixth most common human cancer. Approximately 450,000 of new cases of head and neck squamous cell carcinoma (HNSCC) are diagnosed every year. Unfortunately, because of diagnosis at the advanced stages and early metastasis to the lymph nodes, the HNSCC is associated with very high death rate. Identification of signature biomarkers and molecularly targeted therapies could provide more effective and specific cancer treatment, prevent recurrence, and increase survival rate. We used paired tumor and adjacent normal tissue samples to screen with RT2 Profiler (TM) PCR Array Human Cancer PathwayFinder (TM). Total of 20 up-regulated genes and two down-regulated genes were screened out. Out of 22 genes, 12 genes were subsequently validated to be significantly altered in the HNSCC; the samples were from all 41 patients. Five year survival and recurrence selected genes that could represent the biomarkers of survival and recurrence of the disease. We believe that comprehensive understanding of the unique genetic characteristics of HNSCC could provide novel diagnostic biomarkers and meet the requirement for molecular-targeted therapy for the HNSCC.
Subjects
X. Zhi; K. Lamperska; P. Golusinski; N. J. Schork; L. Luczewski; T. Kolenda; W. Golusinski;M. M. Masternak
Volume
6
Issue/Number
1
Publication Date
1-1-2014
Document Type
Article
Language
English
First Page
547
Last Page
555
WOS Identifier
ISSN
1949-2553
Recommended Citation
"Gene expression analysis of head and neck squamous cell carcinoma survival and recurrence" (2014). Faculty Bibliography 2010s. 5674.
https://stars.library.ucf.edu/facultybib2010/5674
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu