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Overexpression of prothymosin alpha predicts poor disease outcome in head and neck cancer
Authors:Tripathi Satyendra Chandra  Matta Ajay  Kaur Jatinder  Grigull Jorg  Chauhan Shyam Singh  Thakar Alok  Shukla Nootan Kumar  Duggal Ritu  Choudhary Ajoy Roy  Dattagupta Siddhartha  Sharma Mehar Chand  Ralhan Ranju  Siu K W Michael
Institution:Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Abstract:

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 (ptrend<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.
Keywords:
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