Copyright
©2014 Baishideng Publishing Group Co.
World J Gastroenterol. Mar 28, 2014; 20(12): 3112-3124
Published online Mar 28, 2014. doi: 10.3748/wjg.v20.i12.3112
Published online Mar 28, 2014. doi: 10.3748/wjg.v20.i12.3112
Method | Advantages | Limitations |
Transcriptomics | Large dataset of dysregulated genes identified, provides insights to biological mechanisms of diseaseAffordable priceHas provided successful example of translation to clinical use (e.g., Oncotype Dx™ in predicting breast cancer recurrence) | Differences in platform contribute to lack of overlap in signatures between different studiesHigh possibility of noise present in the gene listPoor correlation between transcript and protein levels |
Proteomics | Direct measurement of biological effectorsValidation method (IHC and TMA) routinely performed in pathology labs | Small number of validated targetsPrice, availability and quality of antibodies for validation work |
Metabolomics | Amenable to different types of samples which can be obtained in a non-invasive manner | Lack of large-scale validation of metabolite signaturesLimited biological information obtained |
- Citation: Lee SC, Tan HT, Chung MCM. Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: Current status and future prospects. World J Gastroenterol 2014; 20(12): 3112-3124
- URL: https://www.wjgnet.com/1007-9327/full/v20/i12/3112.htm
- DOI: https://dx.doi.org/10.3748/wjg.v20.i12.3112