We are a team of bioinformatic researchers at the Sun Yat-sen university Cancer Center, specializing in GI cancer research.
Our research focuses on developing new algorithms, applications, and database tools to analyze GI cancer omic data. We also use machine-learning approaches to identify biomarkers for tumor diagnosis and prognosis.
Currently, we are working on several fields, including:
Exploration of Biomarkers for Cancer Immunotherapy
Developing Software and Database related to Cancer genomics
Developing novel targeting treatment strategies for GI cancers
Build Machine Learning based models for cancer diagnosis and prognosis
Gut Microbiota and tumor Microenvirment in Cancer Immunotherapy
Our new ecDNA allocation algorithm GCAP is now live! linc. Congratulations to Shixiang Wang! GCAP enables determination of ecDNA status from whole-exome sequencing (WES) datasets. Using GCAP, we further reveal that ecDNA may serve as a promising biomarker for ICI treatment in gastrointestinal (GI) cancers.
“We developed a bioinformatics tool repository for indexing and commenting thousands of tools, which was recently highlighted as a cover story in Science China Life Sciences.” linc
“Our study on the single-cell dynamic microenvironment of EBV-positive gastric cancer before and after anti-PD1 treatment” is now published in Signal Transduction and Targeted Therapy. link
The genomic evolution analysis of gastric mixed adenoneuroendocrine carcinoma (MANEC) is now published in Cell Reports. link