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eISSN: 1643-3750

Expression of Paxillin is Correlated with Clinical Prognosis in Colorectal Cancer Patients

Cheng-jin Zhao, Shuang-kuan Du, Xing-bo Dang, Min Gong

Department of Emergency, Shaanxi Provincial People’s Hospital, Xi'an, Shaanxi, China (mainland)

Med Sci Monit 2015; 21:1989-1995

DOI: 10.12659/MSM.893832

Available online: 2015-07-10

Published: 2015-07-10


#893832

BACKGROUND: The aim of this study was to investigate the expression of Paxillin in colorectal carcinoma and its significance in clinical prognosis.
MATERIAL AND METHODS: Tissue specimens from 242 colorectal cancer patients who underwent radical resection were collected in Shaanxi Provincial People’s Hospital from 2010 to 2014. The mRNA levels of Paxillin in colorectal cancer tissue and tissue adjacent to carcinoma of 62 patients were measured by quantitative real-time PCR. Immunohistochemistry staining was used to detect the expression of Paxillin in 242 samples of paraffin-embedded tissues.
RESULTS: The mRNA and protein level of Paxillin in colorectal cancer tissues were significantly higher than those in the tissue adjacent to carcinoma (P<0.001 and P=0.003, respectively). The expression of Paxillin was significantly correlated to tumor histological grade (P<0.001), tumor size (P=0.01), serum CA199 level (P<0.001), the clinical TNM stage (P<0.001), and distant metastasis (P<0.001). Survival analysis showed that the prognosis of the patients with high expression of Paxillin was poorer than those with low expression of Paxillin (P=0.03). Cox proportional hazards model with stepwise selection showed that age, Paxillin expression level, and the clinical TNM stage were independent prognostic factors influencing survival for patients (P=0.01, P=0.004 and P<0.001, respectively).
CONCLUSIONS: Paxillin was expressed at significantly higher levels in colorectal cancer tissues and might serve as a potential prognostic indicator in patients with colorectal cancer.

Keywords: Biomarkers, Tumor - metabolism, Colorectal Neoplasms - surgery, Paxillin - metabolism, Prognosis, Real-Time Polymerase Chain Reaction



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