Journal
PLOS ONE
Volume 6, Issue 5, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0019213
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Funding
- Indian Council of Medical Research (ICMR), New Delhi, India
- Joseph and Mildred Sonshine Centre for Head and Neck Diseases
- Temmy Latner/Dynacare Family Foundation, Canada
- Canadian Institutes of Health Research (CIHR)
- International Science and Technology Partnerships Canada (ISTP Canada)
- Department of Biotechnology (DBT), India
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Background: In our recent study, tissue proteomic analysis of oral pre-malignant lesions (OPLs) and normal oral mucosa led to the identification of a panel of biomarkers, including prothymosin alpha (PTMA), to distinguish OPLs from histologically normal oral tissues. This study aimed to determine the clinical significance of PTMA overexpression in oral squamous cell hyperplasia, dysplasia and head and neck squamous cell carcinoma (HNSCC). Methodology: Immunohistochemistry of PTMA protein was performed in HNSCCs (n = 100), squamous cell hyperplasia (n = 116), dysplasia (n = 50) and histologically normal oral tissues (n = 100). Statistical analysis was carried out to determine the association of PTMA overexpression with clinicopathological parameters and disease prognosis over 7 years for HNSCC patients. Results: Our immunohistochemical analysis demonstrated significant overexpression of nuclear PTMA in squamous cell hyperplasia (63.8%), dysplasia (50%) and HNSCC (61%) in comparison with oral normal mucosa (p(trend)< 0.001). Chi-square analysis showed significant association of nuclear PTMA with advanced tumor stages (III+IV). Kaplan Meier survival analysis indicated reduced disease free survival (DFS) in HNSCC patients (p < 0.001; median survival 11 months). Notably, Cox-multivariate analysis revealed nuclear PTMA as an independent predictor of poor prognosis of HNSCC patients (p < 0.001, Hazard's ratio, HR = 5.2, 95% CI = 2.3-11.8) in comparison with the histological grade, T-stage, nodal status and tumor stage. Conclusions: Nuclear PTMA may serve as prognostic marker in HNSCC to determine the subset of patients that are likely to show recurrence of the disease.
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