Publications by authors named "Dysan Chao"
Background: Genomic alterations play important roles in the development of cancer. We explored the impact of protein-coding genes and transcriptomic changes on clinical and molecular alterations in Taiwanese hepatocellular carcinoma (HCC) patients.
Methods: We analyzed 147 whole-exome sequencing and 100 RNA sequencing datasets of HCC and compared them with The Cancer Genome Atlas (TCGA)-Liver Hepatocellular Carcinoma cohort and develop a panel of 81 apoptosis-related genes for molecular classification.
Background: Cancer is a major cause of death, and its early identification and intervention have potential for clinical actionability and benefits for human health. The studies using whole-genome sequencing (WGS) and large samples analysis of cancer-related genes have been rarely done.
Methods: We performed WGS to explore germline mutations in coding and non-coding areas of cancer-related genes and non-coding driver genes and regulatory areas.
Article Synopsis
- - Head and neck cancer patients often face a higher risk of developing second primary tumors, contributing to a lower survival rate compared to other cancers.
- - The study utilized next-generation sequencing on tumor samples from 13 patients to compare mutations between their first and second oral cancer diagnoses.
- - Results revealed that some patients misdiagnosed as having recurrent cancer actually had primary tumors, emphasizing the potential of genetic testing to improve diagnostic accuracy.
Article Synopsis
- - A genome-wide association study (GWAS) was conducted in Taiwan to analyze genetic factors related to complex diseases, resulting in a large-scale genetic database from China Medical University Hospital due to the ethnic-specific nature of existing data.
- - Researchers compared four imputation algorithms to expand the limited SNP data available, finding that Beagle5.2 outperformed others with the fastest speed and highest accuracy, yielding over 15 million high-quality variants.
- - The study achieved an impressive accuracy rate of 98.75% with Beagle5.2, and the results will be utilized alongside clinical data to enhance precision medicine efforts in Taiwan, with the findings made accessible for further research.
The genomic landscape of breast cancer (BC) is complex. The purpose of this study was to decipher the mutational profiles of Taiwanese patients with BC using next-generation sequencing. We performed whole-exome sequencing on DNA from 24 tumor tissue specimens from BC patients.
View Article and Find Full Text PDFNext-generation sequencing (NGS) technology is currently used to establish mutational profiles in many heterogeneous diseases. The aim of this study was to evaluate the mutational spectrum in Taiwanese patients with colorectal cancer (CRC) to help clinicians identify the best treatment method. Whole-exome sequencing was conducted in 32 surgical tumor tissues from patients with CRC.
View Article and Find Full Text PDFArticle Synopsis
- This study investigates the use of circulating tumor DNA (ctDNA) as a noninvasive method to analyze genetic mutations in various cancers and compares these findings with tissue mutations.
- 21 cancer patients provided paired tissue and plasma samples, which underwent next-generation sequencing to identify mutations across a comprehensive panel of 275 genes.
- The results showed that while both methods identified some concordant mutations, combining their findings increased the proportion of patients with actionable mutations, supporting the complementary role of ctDNA in cancer genetic analysis.