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外周血白细胞的转录谱可识别胆管癌患者并预测预后。

Transcriptional profiles of peripheral blood leukocytes identify patients with cholangiocarcinoma and predict outcome.

作者信息

Subimerb Chutima, Wongkham Chaisiri, Khuntikeo Narong, Leelayuwat Chanvit, McGrath Michael S, Wongkham Sopit

机构信息

Department of Biochemistry, and Liver Fluke and Cholangiocarcinoma Research Center, Faculty of Medicine, Khon Kaen University, Thailand E-mail :

出版信息

Asian Pac J Cancer Prev. 2014;15(10):4217-24. doi: 10.7314/apjcp.2014.15.10.4217.

Abstract

Cholangiocarcinoma (CCA), a slow growing but highly metastatic tumor, is highly prevalent in Northeast Thailand. Specific tests that predict prognosis of CCA remain elusive. The present study was designed to investigate whether peripheral blood leukocyte (PBL) transcriptional profiles might be of use as a prognostic test in CCA patients. Gene expression profiles of PBLs from 9 CCA and 8 healthy subjects were conducted using the Affymetrix HG_U133 Plus 2.0 GeneChip. We indentified informative PBLs gene expression profiles that could reliably distinguish CCA patients from healthy subjects. Of these CCA specific genes, 117 genes were up regulated and 60 were down regulated. The molecular and cellular functions predicted for these CCA specific genes according to the Gene Ontology database indicated differential PBL expression of host immune response and tumor progression genes (EREG, TGF β1, CXCL2, CXCL3, IL-8, and VEGFA). The expression levels of 9 differentially expressed genes were verified in 36 CCA vs 20 healthy subjects. A set of three tumor invasion related genes (PLAU, CTSL and SERPINB2) computed as "prognostic index" was found to be an independent and statistically significant predictor for CCA patient survival. The present study shows that CCA PBLs may serve as disease predictive clinically accessible surrogates for indentifying expressed genes reflective of CCA disease severity.

摘要

胆管癌(CCA)是一种生长缓慢但具有高度转移性的肿瘤,在泰国东北部极为常见。预测CCA预后的特异性检测方法仍不明确。本研究旨在调查外周血白细胞(PBL)转录谱是否可作为CCA患者的预后检测指标。使用Affymetrix HG_U133 Plus 2.0基因芯片对9例CCA患者和8例健康受试者的PBL进行基因表达谱分析。我们确定了能够可靠区分CCA患者和健康受试者的信息丰富的PBL基因表达谱。在这些CCA特异性基因中,117个基因上调,60个基因下调。根据基因本体数据库预测,这些CCA特异性基因的分子和细胞功能表明宿主免疫反应和肿瘤进展基因(EREG、TGFβ1、CXCL2、CXCL3、IL-8和VEGFA)的PBL表达存在差异。在36例CCA患者和20例健康受试者中验证了9个差异表达基因的表达水平。一组计算为“预后指数”的三个肿瘤侵袭相关基因(PLAU、CTSL和SERPINB2)被发现是CCA患者生存的独立且具有统计学意义的预测指标。本研究表明,CCA患者的PBL可作为临床上可获取的疾病预测替代指标,用于识别反映CCA疾病严重程度的表达基因。

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