Oral cancer prognostic signature identified

Source: www.eurekalert.org Author: press release Researchers in Brazil have identified a correlation between oral cancer progression and the abundance of certain proteins present in tumor tissue and saliva. The discovery offers a parameter for predicting progression of the disease - whether cervical lymph node metastasis is present, for example - and points to a strategy for overcoming the limitations of clinical and imaging exams. It could also help guide the choice of an ideal treatment for each patient. The study began in the discovery phase with a proteomic analysis of tissue from different tumor areas using 120 microdissected samples. In the verification phase, prognostic signatures were confirmed in approximately 800 tissue samples by immunohistochemistry and in 120 samples by targeted proteomics. The study was supported by São Paulo Research Foundation - FAPESP and conducted at the National Energy and Materials Research Center (CNPEM) in partnership with the São Paulo State Cancer Institute (ICESP), the University of Campinas's Piracicaba Dental School (FOP-UNICAMP), the Institute of Computing from the same university, the University of São Paulo's Mathematics and Computer Science Institute (ICMC) in São Carlos, and the Dental School of the West Paraná University (UNIOESTE), in addition to other institutions in Brazil and abroad. "The data led to robust results that are highly promising as guides to defining the severity of the disease. We suggested potential markers of the disease in the first phase of the study and verified these markers in the second phase, enhancing the reliability of the findings and [...]

2018-12-06T12:27:03-07:00December, 2018|Oral Cancer News|

Differential proteomics identifies protein biomarkers that predict local relapse of head and neck squamous cell carcinomas

Source: Clin Cancer Res 2009;15(24):7666–75 Authors: Tieneke B.M. et al. Purpose: The 5-year survival rates of head and neck squamous cell carcinomas (HNSCC) remain disappointing. HNSCCs develop in precursor fields of genetically altered cells that are often not completely resected when the tumor is excised, causing local relapse. These precursor fields are mostly recognized as dysplasia, but histologic grading cannot reliably predict malignant transformation. Our aim was to discover and validate protein biomarkers that can detect precursor fields and predict local relapse in HNSCC using immunostaining of surgical margins. Experimental Design: We compared paired and genetically characterized normal, precursor, and tumor tissues of eight patients by proteome analysis to identify differentially expressed proteins. The prognostic value of candidate protein biomarkers was evaluated by immunohistochemical analysis of 222 surgical margins of 46 HNSCC patients who developed local relapse or remained disease free. Significant associations were determined by Kaplan-Meier survival analysis and Cox-proportional hazards models. Results: Forty proteins showed significant differential expression (false discovery rate–corrected P

2009-12-15T21:39:09-07:00December, 2009|Oral Cancer News|
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