Table 7.
Examples of studies on hepatocellular carcinoma research by utilization of large healthcare datasets
|
Hepatocellular carcinoma | |||||
| Country/Region | Database | Area of research | Sample size | Design, statistical methods and 3V | Application |
| Taiwan, China | Publicly available data on HCC-related genes | HCC | n.a. | Signature inversion study | Anti-cancer effects of chlorpromazine and trifluoperazine on HCC |
| Chen et al[17], 2011 | |||||
| Volume, Velocity and Variety | |||||
| Connectivity Map (CMap) -- includes 6100 drug-mediated expression profiles | |||||
| Taiwan National Health Insurance Database (NHID) | HCC | 4569 | Nationwide retrospective cohort study | Association between NA therapy and HCC recurrence among patients with HBV-related HCC after liver resection | |
| Wu et al[89], 2012 | |||||
| Volume, Velocity and Variety | |||||
| Taiwan National Health Insurance Database (NHID) | HCC | 292290 | Nationwide case-control study | Association between DM and HCC | |
| Chen et al[91], 2013 | |||||
| Volume, Velocity and Variety | |||||
| Taiwan National Health Insurance Database (NHID) | HCC | 43190 | Nationwide retrospective cohort study | Association between NA therapy and HCC among CHB patients | |
| Wu et al[87], 2014 | |||||
| PS matching | |||||
| Volume, Velocity and Variety | |||||
| China | The Cancer Genome Atlas (TCGA) database | HCC | n.a. | Signature inversion study | Anti-cancer effect of prenylamine on HCC |
| Wang et al[18], 2016 | |||||
| Volume, Velocity and Variety | |||||
| Connectivity Map (CMap) | |||||
| South Korea | Korean Health Insurance Review and Assessment Service (HIRA) | HCC | 24156 | Nationwide retrospective cohort study | Difference between tenofovir and entecavir on reducing HCC risk |
| Choi et al[90], 2018 | |||||
| Volume, Velocity and Variety | |||||
| Hong Kong, China | Clinical Data Analysis and Reporting System (CDARS) | HCC | Entire Hong Kong population between 1999 and 2012 | Territory-wide retrospective cohort study | Association between NA therapy and HCC among CHB patients |
| Seto et al[88], 2017 | |||||
| Volume, Velocity and Variety | |||||
| Sweden | Swedish Cancer Registry | HCC | 9160 CHB patients | Nationwide retrospective cohort study | Association between concomitant HBV/HDV infection and HCC |
| Ji et al[102], 2012 | |||||
| Swedish Patient Registry | |||||
| Comparison with general population to derive SIR | |||||
| Volume, Velocity and Variety | |||||
This list is not exhaustive, but serves to provide a few distinct examples of how Big Data analysis can generate high-quality research outputs in the field of gastroenterology and hepatology. 3V: Volume/velocity/variety; HCC: Hepatocellular carcinoma; NA: Nucleos(t)ide analogue; DM: Diabetes mellitus; PS: Propensity score; CHB: Chronic hepatitis B; SIR: Standardized incidence ratio; HDV: Hepatitis D virus.