Feng GAO

Feng GAO

Professor

Biography

Dr. Feng Gao is a Professor of Colorectal Surgery at the Sixth Affiliated Hospital of Sun Yat-sen University, a position supported by the university’s prestigious 100 Top Talents Program. After initial training in computer engineering and brief roles in engineering and finance, Dr. Gao earned his Ph.D. in cancer research, specializing in the application of artificial intelligence and big data technologies. He is a core member of the International Cancer Genome Consortium - Accelerated Research in Genomic Oncology (ICGC-ARGO) Colorectal Cancer (CRC) project. His research primarily focuses on creating AI-driven solutions for colorectal cancer diagnosis and prognosis. Dr. Gao also has a strong interest in translating these cutting-edge techniques to other medical disciplines, including diabetes, reproductive health, pediatrics, and dentistry.

Research Interests

  • Artificial Intelligence
  • Colorectal Cancer

Education

  • Joint PhD in Cancer Biology and Bioinformatics
    City University of Hong Kong & Cornell University
    2015 - 2018
  • Visiting Student in Computer Science and Electronic Engineering
    Kumamoto University
    2007 - 2008
  • BEng in Computer Science and Technology
    Shandong University
    2005 - 2009

Related Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

(2019). Journal Article A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients. Cancer Cell International.
(2019). Journal Article Long-Read RNA Sequencing Identifies Alternative Splice Variants in Hepatocellular Carcinoma and Tumor-Specific Isoforms. Hepatology.
(2019). Journal Article An immune-related gene pairs signature predicts overall survival in serous ovarian carcinoma. OncoTargets and Therapy.
(2019). Journal Article DeepCC: a novel deep learning-based framework for cancer molecular subtype classification. Oncogenesis.
(2019). Journal Article An immune-related gene signature predicts prognosis of gastric cancer. Medicine.
(2019). Journal Article Gene expression signature in surgical tissues and endoscopic biopsies identifies high-risk T1 colorectal cancers. Gastroenterology.
(2019). Journal Article RNAMethyPro: a biologically conserved signature of N6-methyladenosine regulators for predicting survival at pan-cancer level. npj Precision Oncology.
(2019). Journal Article Genome-wide discovery of a novel gene-expression signature for the identification of lymph node metastasis in esophageal squamous cell carcinoma. Annals of Surgery.
(2019). Journal Article Molecular subtyping of colorectal cancer: Recent progress, new challenges and emerging opportunities. Seminars in Cancer Biology.
(2019). Journal Article A genomewide transcriptomic approach identifies a novel gene expression signature for the detection of lymph node metastasis in patients with early stage gastric cancer. EBioMedicine.
(2018). Journal Article Retinoic acid and 6-formylindolo(3,2-b)carbazole (FICZ) combination therapy reveals putative targets for enhancing response in non-APL AML. Leukemia and Lymphoma.
(2018). Journal Article High-throughput three-dimensional chemotactic assays reveal steepness-dependent complexity in neuronal sensation to molecular gradients. Nature Communications.
(2018). Journal Article Genome-wide discovery and identification of a novel miRNA signature for recurrence prediction in stage II and III colorectal cancer. Clinical Cancer Research.
(2018). Journal Article A microRNA signature associated with metastasis of T1 colorectal cancers to lymph nodes. Gastroenterology.
(2018). Journal Article Potential for subsets of wt-NPM1 primary AML blasts to respond to retinoic acid treatment. Oncotarget.
(2017). Book Chapter Biomarkers for Precision Medicine. Clinical Chemistry and Laboratory Medicine (CCLM).