Dr. Shu-Jen Chen received her Ph.D. degree in Biochemistry from Virginia Commonwealth University, did her Postdoctoral training at Baylor College of Medicine, and was a Research Assistant Professor at SUNY Buffalo. She joined National Health Research Institute (NHRI) as an Assistant Investigator and established the high throughput screening program for the institute. As one of the founding scientists, Dr. Chen joined TaiGen Biotechnology in 2001 to lead the in vitro pharmacology group. In 2006, she moved to Chang Gung University as an Associate Professor of the Department of Biomedical Sciences. As a co-founder of ACT Genomics, Dr. Chen has served as the Chief Scientific Officer since 2014. Dr. Chen specializes in automated drug screening system, genomics and transcriptomics technologies, omics data analysis and biological database integration. She is also familiar with cancer biology, system integration and database design. She currently leads the sequencing group and the bioinformatics group at ACT Genomics to implement cancer genome sequencing for research and clinical applications.
Cancer is a group of genetic diseases. Each tumor evolves from its genetic alteration, which also governs its response to treatment. Thus, to better diagnose, treat, and monitor the disease, it is important to understand the genomic alteration of an individual tumor. Recent advance in next-generation sequencing (NGS) technology has enabled the profiling of hundreds to thousands of genes in disease tissue and liquid biopsy at different disease stage. Each sample source has its advantages and limitation. Similarly, using DNA or RNA as the starting material may offer different insights into the genetic alteration. Sequencing scope and depth will also affect the sensitivity and usability of the testing results. Thus, selecting an appropriate genetic test becomes an important consideration for oncologists and patients. This talk will review the genetic test currently used in oncology field and discuss the technology as well as the clinical aspect when choosing the test.