SESN2 correlates with advantageous prognosis in hepatocellular carcinoma

Autor: Weigang Yan, Shaosen Chen, Weiya Lang, Hongguang Bao, Xinyu Xu, Yunlong Liu, Jing Yu, Li Xu
Rok vydání: 2017
Předmět:
Male
0301 basic medicine
Oncology
Pathology
Multivariate analysis
Hepatocellular carcinoma
Cell
Kaplan-Meier Estimate
Western blotting
0302 clinical medicine
Tissue microarray
Reverse Transcriptase Polymerase Chain Reaction
Liver Neoplasms
Nuclear Proteins
General Medicine
Middle Aged
Prognosis
Immunohistochemistry
Blot
qPCR
medicine.anatomical_structure
030220 oncology & carcinogenesis
Female
Adult
medicine.medical_specialty
Carcinoma
Hepatocellular
Histology
Blotting
Western
Disease-Free Survival
Pathology and Forensic Medicine
03 medical and health sciences
Internal medicine
Biomarkers
Tumor
medicine
Humans
SESN2
Survival analysis
Aged
Proportional Hazards Models
Proportional hazards model
business.industry
Research
medicine.disease
digestive system diseases
030104 developmental biology
Tissue Array Analysis
business
IHC
Zdroj: Diagnostic Pathology
ISSN: 1746-1596
DOI: 10.1186/s13000-016-0591-2
Popis: Background SESN2 plays important roles in the regulation of cell survival, cell protection, and tumor suppression. However, the relationship between SESN2 expression and the clinicopathological attributes of hepatocellular carcinoma (HCC) is barely investigated. Methods One-step quantitative reverse transcription PCR, Western blotting analysis in 15 fresh HCC tissues, and immunohistochemistry (IHC) analysis in a tissue microarray (TMA) containing 100 HCC cases were performed to examine SESN2 expression. Survival analyses by Cox regression method and Kaplan-Meier curve were performed to describe the overall survival of 100 HCC patients. Results The SESN2 expression in HCC tissues declined dramatically compared with the corresponding noncancerous tissues, and SESN2 expression was remarkably associated with HBV infection (p = 0.019), HCV infection (p = 0.001), and lymph node metastasis (p = 0.033). Survival analysis further demonstrated that SESN2 expression could serve as an independent prognostic biomarker for overall survival in univariate (p = 0.001) and multivariate analyses (p = 0.003). Conclusion The data are the first to indicate that SESN2 might be a novel prognostic marker for HCC and that elevated SESN2 expression predicts advantageous outcomes in HCC patients.
Databáze: OpenAIRE
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