BACKGROUND: The purpose of our study was to identify serum protein biomarkers for node-positive oral squamous cell carcinoma (OSCC). Biomarkers indicating lymph node metastasis provides a valuable classification methodology to optimize treatment plans for patients with OSCC. METHODS: Quantitative serum proteomic analysis of OSCCs with either node-positive or node-negative disease was performed with tandem mass spectrometry and isobaric tagging for relative and absolute quantitation (iTRAQ). Immunoassays were used to validate a panel of candidate protein biomarkers and receiver operating characteristic (ROC) analysis was used to evaluate the performance of the candidate biomarkers. RESULTS: A total of 282 serum proteins were quantified between node-positive and node-negative OSCCs with the proteomic approach. Four candidate biomarkers, gelsolin, fibronectin, angiotensinogen, and haptoglobin, were validated in an independent group of patients with node-positive or node-negative OSCC. The best candidate biomarker, gelsolin, yielded a ROC value of 89% for node-positive OSCC, although the sample size for validation is relatively small. Fibronectin, gelsolin, and angiotensinogen were also found to be differentially expressed between cancer cell lines of node-positive and node-negative cancer origin. CONCLUSION: Our studies suggest that testing of serum protein biomarkers might help detect lymph node metastasis of oral cancer. Because of limited sample size in our studies, long-term longitudinal studies with large populations of individuals with oral cancer are needed to validate these potential biomarkers.
BACKGROUND: The purpose of our study was to identify serum protein biomarkers for node-positive oral squamous cell carcinoma (OSCC). Biomarkers indicating lymph node metastasis provides a valuable classification methodology to optimize treatment plans for patients with OSCC. METHODS: Quantitative serum proteomic analysis of OSCCs with either node-positive or node-negative disease was performed with tandem mass spectrometry and isobaric tagging for relative and absolute quantitation (iTRAQ). Immunoassays were used to validate a panel of candidate protein biomarkers and receiver operating characteristic (ROC) analysis was used to evaluate the performance of the candidate biomarkers. RESULTS: A total of 282 serum proteins were quantified between node-positive and node-negative OSCCs with the proteomic approach. Four candidate biomarkers, gelsolin, fibronectin, angiotensinogen, and haptoglobin, were validated in an independent group of patients with node-positive or node-negative OSCC. The best candidate biomarker, gelsolin, yielded a ROC value of 89% for node-positive OSCC, although the sample size for validation is relatively small. Fibronectin, gelsolin, and angiotensinogen were also found to be differentially expressed between cancer cell lines of node-positive and node-negative cancer origin. CONCLUSION: Our studies suggest that testing of serum protein biomarkers might help detect lymph node metastasis of oral cancer. Because of limited sample size in our studies, long-term longitudinal studies with large populations of individuals with oral cancer are needed to validate these potential biomarkers.
Authors: Cristina Valero; Daniella K Zanoni; Marlena R McGill; Ian Ganly; Luc G T Morris; Miquel Quer; Jatin P Shah; Richard J Wong; Xavier León; Snehal G Patel Journal: Cancer Date: 2019-12-06 Impact factor: 6.860
Authors: Rebeca Kawahara; Daniela C Granato; Carolina M Carnielli; Nilva K Cervigne; Carine E Oliveria; César Rivera; César A R Martinez; Sami Yokoo; Felipe P Fonseca; Marcio Lopes; Alan R Santos-Silva; Edgard Graner; Ricardo D Coletta; Adriana Franco Paes Leme Journal: PLoS One Date: 2014-12-15 Impact factor: 3.240
Authors: Stanislav Naryzhny; Natalia Ronzhina; Elena Zorina; Fedor Kabachenko; Nikolay Klopov; Victor Zgoda Journal: Int J Mol Sci Date: 2022-09-21 Impact factor: 6.208
Authors: Tânia R Mielcke; Thaís C Muradás; Eduardo C Filippi-Chiela; Maria Eduarda A Amaral; Luiza W Kist; Maurício R Bogo; Alessandra Mascarello; Patrícia D Neuenfeldt; Ricardo J Nunes; Maria M Campos Journal: Sci Rep Date: 2017-11-20 Impact factor: 4.379