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Yang, S.-F.

Publications and source records attributed to Yang, S.-F..

2 recordsLinked to original sources

The Taiwan Precision Medicine Initiative: A Cohort for Large-Scale Studies

The Taiwan Precision Medicine Initiative (TPMI), a project initiated by the Academia Sinica in collaboration with 16 major medical centers around Taiwan, has recruited 565,390 participants who consented to provide DNA samples for genetic profiling and grant access to their electronic medical records (EMR) for studies to develop precision medicine. Access to the EMR is both retrospective and prospective, allowing researchers to conduct prospective studies over time. Genetic profiling is done with population-optimized SNP arrays for the Han Chinese populations that enable genetic analyses such as genome-wide association, phenome-wide association, and polygenic risk score studies to evaluate common disease risk and pharmacogenetic response. Furthermore, the TPMI participants agree to be contacted for future research opportunities related to their genetic risks and receive personalized genetic risk profiles with health management recommendations. TPMI has established the TPMI Data Access Platform (TDAP), a central database and analysis platform that both safeguards the security of the data and facilitates academic research. The TPMI is the largest non-European cohort that merges genetic profiles with EMR in the world. With a cohort that can be followed over time, it can be utilized to validate genetic risk prediction models, conduct clinical trials to show the efficacy of risk-based health management, and optimize health policies based on genetic risks. In this report, we describe the TPMI study design, the population and genetic characteristics of the TPMI cohort, and the power it provides to conduct crucial studies in developing precision medicine on a population and personal level. As Han Chinese represent almost 20% of the worlds population, the results of TPMI studies will benefit >1.4 billion people around the world and serve as a model for developing population-based precision medicine.

genetics↗

Correlation between cancer stem cells, inflammation and malignant transformation in a DEN-induced model of hepatic carcinogenesis

AimsChronic inflammation and cancer stem cells are known risk factors for tumorigenesis. The aetiology of hepatocellular carcinoma (HCC) involves a multistep pathological process characterised by chronic inflammation and hepatocyte damage but the correlation between HCC, inflammation and cancer stem cell remains unclear. In this study, we examined the role of hepatic progenitor cells in a mouse model of chemical-induced hepatocarcinogenesis to elucidate the relationship between inflammation, malignant transformation and cancer stem cells. Methods and resultsWe used diethylnitrosamine (DEN) to induce liver tumour and scored for H&E and reticulin staining, and also immunohistochemistry staining for OV-6 expression and analysed the statistical correlation between each other. DEN progressively induced inflammation at 7 week 7 (40%, 2/5), week 27 (75%, 6/8), week 33 (62.5%, 5/8) and week 50 (100%, 12/12). DEN progressively induced malignant transformation at week 7 (0%, 0/5), week 27 (87.5%, 7/8), week 33 (100%, 8/8) and week 50 (100%, 12/12). Data obtained showed that DEN progressively induced high-levels of OV-6 expression at week 7 (20%, 1/5), week 27 (37.5%, 3/8), week 33 (50%, 4/8) and week 50 (100%, 12/12). DEN-induced inflammation, malignant transformation and high-level OV-6 expression in hamster liver as shown above and applying Spearmans correlation to the data showed that expression of OV-6 was significantly correlated to inflammation (p = 0.001) and malignant transformation (p < 0.001) ConclusionsThere was a significant correlation between number of cancer stem cells, inflammation and malignant transformation in a DEN-induced model of hepatic carcinogenesis in the hamster.

cancer biology↗