Abstract | AIMS: METHODS AND RESULTS: The mRNA levels of GPD1L were measured in 70 paired HNSCC and corresponding adjacent normal tissues using real-time PCR. GPD1L protein levels were evaluated in HNSCC from 135 patients using immunohistochemical staining. Correlations were analysed between GPD1L levels and local recurrence rate, regional recurrence rate, second primary malignancy rate), disease-free survival (DFS) and disease-specific survival (DSS). The results of real-time PCR showed that, compared with the paired normal tissues, mRNA levels of GPD1L were decreased significantly in HNSCC (P < 0.001). Patients whose tumours showed high GPD1L protein expression had a significantly better prognosis than those whose tumours showed low expression (61.3% versus 21.4%, P < 0.001 for DFS; 68% versus 39.3%, P = 0.001 for DSS). High GPD1L expression was associated with a lower local recurrence rate than low GPD1L expression (P = 0.049). Multivariate survival analysis also showed that GPD1L expression was an independent prognostic factor (P = 0.001). CONCLUSIONS: Our results indicate that the GPD1L expression is a strong predictor for local recurrence and survival in HNSCC.
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Authors | Zhien Feng, Jian Nan Li, Lin Wang, Yin Fei Pu, Yixiang Wang, Chuan Bin Guo |
Journal | Histopathology
(Histopathology)
Vol. 64
Issue 3
Pg. 348-55
(Feb 2014)
ISSN: 1365-2559 [Electronic] England |
PMID | 24274692
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © 2013 John Wiley & Sons Ltd. |
Chemical References |
- RNA, Messenger
- RNA, Neoplasm
- Tumor Suppressor Proteins
- GPD1L protein, human
- Glycerolphosphate Dehydrogenase
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Topics |
- Aged
- Carcinoma, Squamous Cell
(enzymology, genetics, pathology)
- Disease-Free Survival
- Down-Regulation
- Female
- Glycerolphosphate Dehydrogenase
(genetics, metabolism)
- Head and Neck Neoplasms
(enzymology, genetics, pathology)
- Humans
- Kaplan-Meier Estimate
- Male
- Middle Aged
- Neoplasm Recurrence, Local
(enzymology, genetics)
- Prognosis
- Proportional Hazards Models
- RNA, Messenger
(genetics, metabolism)
- RNA, Neoplasm
(genetics, metabolism)
- Real-Time Polymerase Chain Reaction
- Squamous Cell Carcinoma of Head and Neck
- Tumor Suppressor Proteins
(genetics, metabolism)
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