Dr. Du CAI is a PhD student in surgery. He is studying at the Sixth Affiliated Hospital of Sun Yat-sen University. He is interested in artificial intelligence and colorectal cancer. His current research topic is applying machine learning and bioinformatic methods to translational research of colorectal cancer. Now he is a postdoc in the Department of Surgery, the Sixth Affiliated Hospital of Sun Yat-sen University.

Interests

  • Artificial Intelligence
  • Colorectal Cancer

Education

  • Doctor of Medicine in Surgery, 2018 - 2023

    Sun Yat-sen University

  • Bachelor of Medicine in Clinical Medicine, 2013 - 2018

    Sun Yat-sen University

Publications

Deciphering Tertiary Lymphoid Structure Heterogeneity Reveals Prognostic Signature and Therapeutic Potentials for Colorectal Cancer: A Multicenter Retrospective Cohort Study
Jia-Xin Lei#, Runxian Wang#, Chuling Hu, Xiaoying Lou, Min-Yi Lv, Chenghang Li, Baowen Gai, Xiao-Jian Wu*, Ruoxu Dou*, Du Cai*, Feng Gao*
PMID DOI International Journal of Surgery  2024
A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles
Yanjiao Hua, Du Cai, Cole Andrea Shirley, Sien Mo, Ruyun Chen, Feng Gao, Fangying Chen
DOI Scientific Reports  2023
Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
Min‐Yi Lv#, Du Cai#, Cheng‐Hang Li#, Junguo Chen#, Guanman Li, Chuling Hu, Baowen Gai, Jiaxin Lei, Ping Lan*, Xiaojian Wu*, Xiaosheng He*, Feng Gao*
PMID DOI MedComm  2023
Immunological profiling of human colorectal cancer defines four distinct molecular subtypes
Weiqiang You, Du Cai, Minyi Lv, Peishan Hu, Feng Gao, Xiaojian Wu
DOI International Digestive Disease Forum  2023
Senescence-Based Colorectal Cancer Subtyping Reveals Distinct Molecular Characteristics and Therapeutic Strategies
Min-Yi Lv, Du Cai, Cheng-Hang Li, Junguo Chen, Guanman Li, Chuling Hu, Baowen Gai, Jiaxin Lei, Ping Lan, Feng Gao, others
DOI Gastroenterology  2023
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Du Cai, Wei Wang, Min-Er Zhong, Dejun Fan, Xuanhui Liu, Cheng-Hang Li, Ze-Ping Huang, Qiqi Zhu, Min-Yi Lv, Chuling Hu, others
DOI Cancer Medicine  2023
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
Min-Er Zhong#, Xin Duan#, Ma-yi-di-li Ni-jia-ti, Haoning Qi, Dongwei Xu, Du Cai, Chenghang Li, Zeping Huang, Qiqi Zhu, Feng Gao*, Xiaojian Wu*
DOI Journal of Translational Medicine  2022
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
Chuling Hu, Du Cai, Min-Er Zhong, Dejun Fan, Cheng-Hang Li, Min-Yi Lv, Ze-Ping Huang, Wei Wang, Xiao-Jian Wu, Feng Gao
DOI Frontiers in Genetics  2022
A transcription factor signature can identify the CMS4 subtype and stratify the prognostic risk of colorectal cancer
Min-Er Zhong#, Ze-Ping Huang#, Xun Wang#, Du Cai, Cheng-Hang Li, Feng Gao*, Xiao-Jian Wu*, Wei Wang*
DOI Frontiers in Oncology  2022
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Chuling Hu, Du Cai, Min-Er Zhong, Dejun Fan, Cheng-Hang Li, Min-Yi Lv, Ze-Ping Huang, Wei Wang, Xiaojian Wu, Feng Gao
DOI Journal of Clinical Oncology  2022
Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
Cheng-Hang Li, Du Cai, Min-Er Zhong, Min-Yi Lv, Ze-Ping Huang, Qiqi Zhu, Chuling Hu, Haoning Qi, Xiaojian Wu, Feng Gao
DOI Frontiers in Genetics  2022
PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
Du Cai, Haoning Qi, Wei Wang, Min-Er Zhong, Dejun Fan, Cheng-Hang Li, Xiaojian Wu, Feng Gao
DOI Gastroenterology  2022
The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study
Qian Cai#, Yi-ze Mao#, Si-qi Dai#, Feng Gao#, Qian Xiao, Wan-ming Hu, Tao Qin, Qiu-xia Yang, Zhao-zhou Li, Du Cai, Min-Er Zhong, Ke-feng Ding*, Xiaojian Wu*, Rong Zhang*
DOI European Radiology  2022
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Min-yi Lv#, Wei Wang#, Min-Er Zhong#, Cai Du, De-jun Fan, Cheng-hang Li, Wei-Bin Kou, Ze-ping Huang, Xin Duan, Chu-ling Hu, Qi-qi Zhu, Xiao-sheng He*, Feng Gao*
DOI Frontiers in Genetics  2022
Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer.
Xiaying Kuang, Du Cai, Ying Lin, Feng Gao
DOI Journal of Clinical Oncology  2021
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Min-Er Zhong, Du Cai, Dejun Fan, Wei Wang, Cheng-Hang Li, Ze-Ping Huang, Qiqi Zhu, Min-Yi Lv, Chuling Hu, Xiaojian Wu, Feng Gao
DOI Journal of Clinical Oncology  2021
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Du Cai, Wei Wang, Min-Er Zhong, Dejun Fan, Xuanhui Liu, Cheng-Hang Li, Ze-Ping Huang, Qiqi Zhu, Min-Yi Lv, Chuling Hu, others
DOI Journal of Clinical Oncology  2021
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
Qiqi Zhu, Du Cai, Wei Wang, Min-Er Zhong, Dejun Fan, Xuanhui Liu, Cheng-Hang Li, Ze-Ping Huang, Min-Yi Lv, Chuling Hu, others
DOI Journal of Clinical Oncology  2021
A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer
Du Cai, Xin Duan, Wei Wang, Ze-Ping Huang, Qiqi Zhu, Min-Er Zhong, Min-Yi Lv, Cheng-Hang Li, Wei-Bin Kou, Xiao-Jian Wu, others
DOI Frontiers in molecular biosciences  2021
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
Xin Duan, Du Cai, Yufeng Chen, Qiqi Zhu, Zeping Huang, Chenghang Li, Xiaojian Wu, Feng Gao
Link Intelligent Systems for Molecular Biology  2020