Haiying Li1, Weiwei Xiao2, Jiwei Ma1, Yong Zhang1, Ru Li1, Jiecheng Ye1, Xiao Wang3, Xueyun Zhong1, Shaoxiang Wang4. 1. Department of Pathology, School of Medicine, Jinan University Guangzhou 510632, Guangdong Province, China ; Guangdong Province Key Laboratory of Molecular Immunology and Antibody Engineering, School of Medicine, Jinan University Guangzhou 510632, Guangdong Province, China. 2. Department of Radiation Oncology, Sun Yat-Sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine Guangzhou, Guangdong, China. 3. Guangzhou Jinan Biomedicine Research and Development Center, National Engineering Research Center of Genetic Medicine, Jinan University Guangzhou 510632, Guangdong Province, China. 4. Institute of Molecular Medicine, Shenzhen University Shenzhen 518060, China.
Abstract
BACKGROUND: Signal transducer of activator of transcription 3 (STAT3) and cyclinD1 are overexpressed in various human cancers, and their overexpression positively correlates to tumor progression and poor prognosis. However, the clinical significance of dual high expression of these two proteins in esophageal squamous cell carcinoma (ESCC) has yet to be determined. METHODS: The expression of STAT3 and cyclinD1 was analyzed in tissue microarrays containing tumor and adjacent tissue samples from 82 patients who had undergone curative resection for histologically proven ESCC. Kaplan-Meier plots and Cox proportional hazards regression model were used to analyze the prognostic value of STAT3 and cyclinD1 expression. RESULTS: We discovered that expressions of STAT3 and cyclinD1 in cancer tissues were significantly higher than that in adjacent tissues. High expression of STAT3 and cyclinD1 was associated with malignant behaviors. Moreover, the expression of STAT3 was positively associated with the expression of cyclinD1. High STAT3 or cyclinD1 expression alone was associated with lower overall survival (OS) rates. Furthermore, dual high expression of STAT3 and cyclinD1 expression predict even worse survival outcome in both univariate and multivariate analysis. CONCLUSION: STAT3 and cyclinD1 correlate with more aggressive tumor behavior in ESCC. When STAT3 and cyclinD1 are considered together, they serve as effective prognostic markers in patients with surgically resected ESCC.
BACKGROUND:Signal transducer of activator of transcription 3 (STAT3) and cyclinD1 are overexpressed in various humancancers, and their overexpression positively correlates to tumor progression and poor prognosis. However, the clinical significance of dual high expression of these two proteins in esophageal squamous cell carcinoma (ESCC) has yet to be determined. METHODS: The expression of STAT3 and cyclinD1 was analyzed in tissue microarrays containing tumor and adjacent tissue samples from 82 patients who had undergone curative resection for histologically proven ESCC. Kaplan-Meier plots and Cox proportional hazards regression model were used to analyze the prognostic value of STAT3 and cyclinD1 expression. RESULTS: We discovered that expressions of STAT3 and cyclinD1 in cancer tissues were significantly higher than that in adjacent tissues. High expression of STAT3 and cyclinD1 was associated with malignant behaviors. Moreover, the expression of STAT3 was positively associated with the expression of cyclinD1. High STAT3 or cyclinD1 expression alone was associated with lower overall survival (OS) rates. Furthermore, dual high expression of STAT3 and cyclinD1 expression predict even worse survival outcome in both univariate and multivariate analysis. CONCLUSION:STAT3 and cyclinD1 correlate with more aggressive tumor behavior in ESCC. When STAT3 and cyclinD1 are considered together, they serve as effective prognostic markers in patients with surgically resected ESCC.
Entities:
Keywords:
Signal transducer of activator of transcription 3; cyclinD1; esophageal squamous cell carcinoma; immunohistochemistry; prognosis
Authors: Chenguang Wang; Nagarajan Pattabiraman; Jian Nian Zhou; Maofu Fu; Toshiyuki Sakamaki; Chris Albanese; Zhiping Li; Kongming Wu; James Hulit; Peter Neumeister; Phyllis M Novikoff; Michael Brownlee; Philipp E Scherer; Joan G Jones; Kathleen D Whitney; Lawrence A Donehower; Emily L Harris; Thomas Rohan; David C Johns; Richard G Pestell Journal: Mol Cell Biol Date: 2003-09 Impact factor: 4.272
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