Multiple 'Omics' data-based biomarker screening for hepatocellular carcinoma diagnosis
| Autor: | Danni Cui, Gang Liu, Yu-Fang Li, Xiaona Liu, Yunhe Liu, Lei Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Carcinoma
Hepatocellular Hepatocellular carcinoma Genomics Computational biology Exosomes Proteomics Sensitivity and Specificity 03 medical and health sciences 0302 clinical medicine Circulating tumor cell Predictive Value of Tests Diagnosis Biomarkers Tumor Humans Metabolomics Medicine neoplasms Early Detection of Cancer Epigenomics Clinical Trials as Topic Circulating tumor DNA business.industry Protein Liver Neoplasms Circulating tumor cells Gastroenterology Computational Biology Minireviews General Medicine Omics medicine.disease digestive system diseases High-Throughput Screening Assays Metagenomics 030220 oncology & carcinogenesis RNA Biomarker (medicine) 030211 gastroenterology & hepatology business |
| Zdroj: | World Journal of Gastroenterology |
| ISSN: | 1007-9327 |
| Popis: | The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it's sensitivity and specificity of is not optimal. The development and application of multiple biotechnologies, including next generation sequencing, multiple "omics" data, that include genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics has been used for HCC diagnostic biomarker screening. Effective biomarkers/panels/models have been identified and validated at different clinical levels. A large proportion of these have a good diagnostic performance for HCC, especially for early HCC. In this article, we reviewed the various HCC biomarkers derived from "omics" data and discussed the advantages and disadvantages for diagnosis HCC. |
| Databáze: | OpenAIRE |
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