Research Papers:
Expression and prognostic significance of CCL11/CCR3 in glioblastoma
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Abstract
Min Tian1, Lina Chen1, Li Ma1, Dandan Wang1, Bin Shao1, Jianyu Wu2, Hangyu Wu3, Yimin Jin1
1Department of Gerontology, First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
2Department of General Surgery, First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
3Department of Emergency, the General Hospital of Beijing Military Command, Beijing 100700, China
Correspondence to:
Yimin Jin, email: [email protected]
Keywords: glioblastoma, CCL11, CCR3, prognosis, biomarker
Received: March 13, 2016 Accepted: April 02, 2016 Published: April 23, 2016
ABSTRACT
Glioblastoma (GBM) is the most lethal primary nervous system cancer, but due to its rarity and complexity, its pathogenesis is poorly understood. To identify potential tumorigenic factors in GBM, we screened antibody-based cytokine arrays and found that CCL11 was upregulated. We then demonstrated in vitro that both CCL11 and its receptor, CCR3, were overexpressed and promoted the proliferation, migration and invasion of cancer cells. To examine the clinical significance of CCL11/CCR3, 458 GBM samples were divided into a training cohort with 225 cases and a test cohort containing 233 cases. In the training set, immunohistochemical analysis showed overexpression of CCL11 and CCR3 were correlated with unfavorable overall survival (OS). We further developed a prognostic classifier combining CCL11 and CCR3 expression and Karnofsky performance status (KPS) for predicting one-year survival in GBM patients. Receiver operating characteristic (ROC) analysis demonstrated that this predictor achieved 90.7% sensitivity and 73.4% specificity. These results were validated with the test sample set. Our findings suggest that CCL11-CCR3 binding is involved in the progression of GBM and may prompt a novel therapeutic approach. In addition, CCL11 and CCR3 expression, combined with KPS, may be used as an accurate predictor of one-year survival in GBM patients.
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