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Name: MinJie Mao
Title: Associate Chief Technologist, Teaching secretary
Email: maomj@sysucc.org.cn
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Dr. Mao is Teaching Secretary of the Department of Laboratory Medicine at Sun Yat-sen University Cancer Center. His research focuses on novel tumor biomarkers, metabolic reprogramming, and the remodeling of the tumor immune microenvironment. He has served as principal or co-investigator on 5 research grants, including projects funded by the National Natural Science Foundation of China, the Youth Fund of Guangdong Esophageal Cancer Institute, and the Youth Excellence and Innovation Promotion Program. As first or corresponding author, he has published 20 SCI-indexed papers in high-impact  academic journals. He also holds 4 national invention patents and has contributed to the compilation of 3 medical textbooks.  He holds multiple academic positions in professional societies: Secretary-General of the Chinese Anti-Cancer Association Specialty Committee on Cancer Clinical Laboratory and Companion Diagnostics, Vice Chairman of the Guangdong Anti-Cancer Association Specialty Committee on Cancer Molecular Diagnostics, Youth Committee Member of the Guangdong Medical Association Society of Laboratory Medicine, and Member of the Guangdong Anti-Cancer Association Specialty Committee on Cancer Screening, Early Detection and Early Treatment.
Interests
Research focuses on novel tumor biomarkers, metabolic reprogramming, and the remodeling of the tumor immune microenvironment
Education
Master Degree of Medicine,  Jinan University, Guangzhou, China
Publications
1. Mao, Minjie; Zhang, Ao; He, Yi; Zhang, Lin; Liu, Wen; Song, Yiling; Chen, Shuqi; Jiang, Guanmin; Wang, Xueping. Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis. International Journal of Biological Sciences, 2020, 16 (7): 1230-1237
2. Hong-Tao Chen; Hao Liu; Min-Jie Mao; Yuan Tan; Xiang-Qiong Mo; Xiao-Jun Meng; Meng-Ting Cao; Chu-Yu Zhong; Yan Liu; Hong Shan; Guan-Min Jiang. Crosstalk between autophagy and epithelial-mesenchymal transition and its application in cancer therapy. Molecular Cancer, 2019, 18 (1): 101
3. Wang, Xueping; Mao, Minjie; He, Zhonglian; Zhang, Lin; Li, Huilan; Lin, Jianhua; He, Yi; Dai, Shuqin; Hu, Wanming; Liu, Wanli. Development and Validation of a Prognostic Nomogram in AFP-negative hepatocellular carcinoma. International Journal of Biological Sciences, 2019, 15 (1): 221-228
4. He, Yi; Mao, Minjie; Shi, Wenjuan; He, Zhonglian; Zhang, Lin; Wang, Xueping. Development and validation of a prognostic nomogram in gastric cancer with hepatitis B virus infection. Journal of Translational Medicine, 2019, 17 (1)
5. Xueping Wang; Wencheng Tan; Hui Sheng; Wenjia Zhou; Hailin Zheng; Kewei Huang; Jinfei Lin; Songhe Guo; Minjie Mao*. An interpretable machine learning model using multimodal pretreatment features predicts pathological complete response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma. Frontiers in Immunology, 2025, 16 (1660897)

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