Proteomics-based identification of alpha-enolase as a potential prognostic marker in cholangiocarcinoma

Yonglitthipagon, Ponlapat, Pairojkul, Chawalit, Bhudhisawasdi, Vajarabhongsa, Mulvenna, Jason, Loukas, Alex, and Sripa, Banchob (2012) Proteomics-based identification of alpha-enolase as a potential prognostic marker in cholangiocarcinoma. Clinical Biochemistry, 45 (10-11). pp. 827-834.

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Objectives: To investigate the association of expression status of alpha-enolase (ENO1) and clinicopathological outcomes of CCA patients.

Design and methods: Two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS) were used to compare differential expressed protein profiles of four human CCA cell lines and H69, a non-malignant biliary cell line, as a control. Immunohistochemical analysis was carried out in tissue-microarray of human CCA tissues (n=301).

Results: We identified ENO1 in all CCA cell lines but not H69 by proteomics based. About 75% of patients with CCA showed over-expression of ENO1 in hyperplastic bile duct and the tumors compared with that in tumor-adjacent normal tissue counterparts. Moreover, over-expression of ENO1 is significantly associated with poor prognosis and tumor invasion of CCA patients.

Conclusions: ENO1 may serve as a prognostic marker to monitor the disease progression of these patients.

Item ID: 23036
Item Type: Article (Research - C1)
ISSN: 1873-2933
Keywords: cholangiocarcinoma, proteomics, prognostic marker, alpha-enolase, ENO1
Funders: National Cancer Institute (NCI)
Date Deposited: 15 Aug 2012 06:03
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1112 Oncology and Carcinogenesis > 111202 Cancer Diagnosis @ 50%
11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110302 Clinical Chemistry (diagnostics) @ 20%
11 MEDICAL AND HEALTH SCIENCES > 1101 Medical Biochemistry and Metabolomics > 110106 Medical Biochemistry: Proteins and Peptides (incl Medical Proteomics) @ 30%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 50%
92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 50%
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