Literature DB >> 29936198

The EpCAM overexpression is associated with clinicopathological significance and prognosis in hepatocellular carcinoma patients: A systematic review and meta-analysis.

Linhua Zhou1, Yanping Zhu2.   

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is one of most common causes for cancer-related death around the world. Epithelial cell adhesion molecule (EpCAM) is established as a vital prognostic factor for the human malignant tumors. However, the potential role of EpCAM in HCC has largely remained elusive. Herein we aimed to gain insight into the clinicopathological and prognostic role of EpCAM in HCC. METHODS AND MATERIALS: The PubMed, Web of Science, EMBASE and SCOPUS databases were systematically searched from their inception up to 5 December 4, 2017. The hazard ratio (HR) and odds ratio (OR) were respectively used as the effect size to explore the associations between EpCAM expression and the prognosis and clinicopathological features in HCC patients.
RESULTS: Sixteen studies recruiting 2488 HCC patients were included in the meta-analysis, of which the publication year ranging from 2011 to 2017. As a result, the pooled HR of 1.634 indicated that higher EpCAM expression was significantly associated with the shorter overall survival (OS) periods (95%CIs: 1.151-2.320; Z = 2.740, P = 0.006). Next, a meta-analysis of disease-free survival (DFS) was performed for the ten studies. Consequently, for the p-value less than 0.05 for the combined HR, the overexpression of EpCAM was significantly correlated with poorer DFS. Next, the results derived from our study suggest that the overexpression of EpCAM is associated with the clinicopathological features of HCC, including poorer tumor differentiation and high alpha-fetoprotein (AFP) levels.
CONCLUSION: The results derived from our study suggest that the overexpression of EpCAM is associated with the clinicopathological features of HCC, including poorer differentiation and high AFP levels. More importantly, overexpression of EpCAM was confirmed as the unfavorable predictor for the shorter OS and DFS for HCC patients.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Clinicopathological features; EpCAM; Hepatocellular carcinoma; Meta-analysis; Prognosis

Mesh:

Substances:

Year:  2018        PMID: 29936198     DOI: 10.1016/j.ijsu.2018.06.025

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  8 in total

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2.  The Vitamin D status is associated with serum C-reactive protein and adhesion molecules in patients with renal cell carcinoma.

Authors:  Shen Xu; Jin Song; Zhi-Hui Zhang; Lin Fu; Lan Gao; Dong-Dong Xie; De-Xin Yu; De-Xiang Xu; Guo-Ping Sun
Journal:  Sci Rep       Date:  2019-11-13       Impact factor: 4.379

3.  Hepatocellular carcinoma: Intratumoral EpCAM-positive cancer stem cell heterogeneity identifies high-risk tumor subtype.

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4.  Circulating tumor cells detected with a microcavity array predict clinical outcome in hepatocellular carcinoma.

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Journal:  Cancer Med       Date:  2021-03-06       Impact factor: 4.452

5.  Identification of a Liver Progenitor Cell-Related Genes Signature Predicting Overall Survival for Hepatocellular Carcinoma.

Authors:  Xiaoyong Li; Jiaqong Lin; Yuguo Pan; Peng Cui; Jintang Xia
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

6.  Prognostic significance of long noncoding RNA HOTAIR in hepatocellular carcinoma: A protocol for systematic review and meta-analysis.

Authors:  Lei Feng; Wenqing Liu; Yunhuo Lv; Baojun Qiao
Journal:  Medicine (Baltimore)       Date:  2022-07-29       Impact factor: 1.817

7.  Big Data-Based Identification of Multi-Gene Prognostic Signatures in Liver Cancer.

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Journal:  Front Oncol       Date:  2020-05-28       Impact factor: 6.244

Review 8.  Cancer Stem Cells-Origins and Biomarkers: Perspectives for Targeted Personalized Therapies.

Authors:  Lia Walcher; Ann-Kathrin Kistenmacher; Huizhen Suo; Reni Kitte; Sarah Dluczek; Alexander Strauß; André-René Blaudszun; Tetyana Yevsa; Stephan Fricke; Uta Kossatz-Boehlert
Journal:  Front Immunol       Date:  2020-08-07       Impact factor: 7.561

  8 in total

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