Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: Current status and future prospects

88Citations
Citations of this article
69Readers
Mendeley users who have this article in their library.

Abstract

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death worldwide, with region specific etiologies. Despite improvements made in the diagnosis of HCC, the prognosis of HCC patients remains poor due to the high recurrence rate of HCC. There is an urgent need for development of prognostic biomark-ers to predict the risk of recurrence in HCC patients after "curative" treatment. Such stratification may aid in patient management and development of personalized medicine for HCC treatment. Omics based studies facilitate the study of global changes in biomolecules in a disease in a high throughput manner, and hence are well poised to understand the complex changes which led to HCC recurrence. The quantitative nature of data obtained from omics based studies allow for development of prognostic biomarkers based on changes in gene, protein and metabolite expression. In this review, we surveyed the application of transcriptomics, proteomics and metabolomics in the study of HCC recurrence. We summarised the data in the literature from these three fields of studies that claimed to be prognostic for HCC recurrence. We critiqued on the limitations of each area of research and the challenges faced in translating the research results for clinical application in predicting HCC recurrence. © 2014 Baishideng Publishing Group Co., Limited. All rights reserved.

Cite

CITATION STYLE

APA

Lee, S. C., Tan, H. T., & Chung, M. C. M. (2014). Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: Current status and future prospects. World Journal of Gastroenterology, 20(12), 3112–3124. https://doi.org/10.3748/wjg.v20.i12.3112

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free