Dr. Guangxi Wang

Assistant Professor (tenure-track), Associate Researcher, Doctoral Supervisor

Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University

Contact Information

Email: guangxiwang@bjmu.edu.cn

Research Directions

The laboratory primarily employs machine learning integrated with metabolomics and multi-omics to discover novel cancer biomarkers; and combines cancer molecular biology to develop new methods for cancer detection and intervention. The research group previously applied multi-omics, machine learning, and mass spectrometry imaging to comprehensively analyze the lipid metabolism characteristics of early-stage lung cancer, developing an AI-assisted non-invasive metabolic detection method for early lung cancer and revealing related molecular mechanisms (Wang et al., Sci. Transl. Med. (2022)). Related achievements were highly praised in articles by journals such as Nature Reviews Clinical Oncology and reported by media outlets in over ten countries, including Xinhua News Agency. The group, in collaboration with others, has also developed a series of AI-cancer metabolic detection methods for different cancers, including pancreatic cancer (Wang et al., Sci. Adv. (2021)), esophageal cancer (Yuan et al., Br J Cancer (2021)), glioma (Zhou et al., eBioMedicine (2022)), and breast cancer (Song et al., iScience (2024)).

In recent years, has published multiple SCI papers as first author in internationally renowned journals such as Science Translational Medicine, Cell Research, and Science Advances; secured funding as project leader for two National Natural Science Foundation of China (NSFC) grants, a National Science and Technology Major Project for New Generations of Artificial Intelligence (2030), etc., and participated in National Key R&D Program key projects, Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund, COVID-19 emergency special projects, etc.; received the Beijing Science and Technology Award (Second Class), Chinese Medical Science and Technology Award (Second Class), and Huaxia Medical Science and Technology Award (Third Class); holds two authorized national invention patents. Serves as Deputy Leader of the Youth Working Group of the Systems Biomedicine Committee, Chinese Association for Pathophysiology; Member of the 3rd Miyun District Youth Federation Committee; Member of the Working Group for the Boya Program in Basic Medicine, Peking University, and Academic & Professional Mentor; Secretary of the Faculty Development Center, School of Basic Medical Sciences, Peking University; Member of the Trade Union Committee, School of Basic Medical Sciences, Peking University.

Laboratory Focus

1. Cancer systems biology based on metabolomics, multi-omics, and machine learning, discovering new biomarkers for cancer detection and screening, as well as potential therapeutic targets.

2. Exploring the application of artificial intelligence in medicine for cancer and various other diseases.

Brief Research Direction

Cancer Systems Biomedicine and Cancer Molecular Biology.

Education and Work Experience

2008.09-2013.07: Peking University, Basic Medicine (8-year program), Bachelor of Medicine

2013.09-2016.07: Peking University, Pathology, Doctor of Medicine

2016.08-2019.09: Department of Medical Oncology Laboratory, First Medical Center, Chinese PLA General Hospital, Assistant Researcher

2019.10-2022.10: Department of Genetics, School of Basic Medical Sciences, Peking University, Postdoctoral Researcher

2022.11-Present: Institute of Systems Biomedicine, Peking University, Assistant Professor (New System), Associate Researcher, Doctoral Supervisor

Courses Taught

1. Histology and Embryology

2. Organ and System Integrated Course (8-year program)

3. PBL (Problem-Based Learning)

4. Scientific Literature Learning and Communication (Educational Reform)

5. Laser Confocal Scanning Microscopy and Related Techniques

6. Medical Image Analysis Technology Training Course

Research Team

Dr. Li Yanqin, Research Assistant, Cell Biology

Dr. Zhao Xuyang, Research Assistant, Proteomics

Research Achievements

Representative Publications

1. Lung cancer scRNA-seq and lipidomics reveal aberrant lipid metabolism for early-stage diagnosis, Sci. Transl. Med.14, eabk2756 (2022) (Highly cited paper, data from Essential Science Indicators; Commentaries and editorials from Nat. Rev. Clin. Oncol., 2022)

2. Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics, Science Advances.7, eabh2724 (2021)

3. PTEN regulates RPA1 and protects DNA replication forks, Cell Res.2015, 25(11):1189-204. (Cover Story)

4. A Deep Learning-Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors., American Journal of Pathology, 2023, 193(7): 899-912

5. Metabolomics and lipidomics in pectus excavatum: preliminary screening of biomarkers for early diagnosis, Translational Pediatrics, 2024 Oct 1;13(10):1777-1788.

6. Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning. eBioMedicine.(2022) 81:104097.

7. Identification of diagnostic markers and lipid dysregulation in oesophageal squamous cell carcinoma through lipidomic analysis and machine learning, British Journal of Cancer, 2021, 125: 351-357

8. Multi-omic analysis identifies metabolic biomarkers for the early detection of breast cancer and therapeutic response prediction, iScience, Volume 27, Issue 9, 110682

9. RPA1 controls chromatin architecture and maintains lipid metabolic homeostasis. Cell Rep.2022 Jul 12;40(2):111071.

Research Projects

1. National Major Science and Technology Project on the Prevention and Treatment of Cancer, Cardio-cerebrovascular, Respiratory and Metabolic Diseases (Four Major Chronic Diseases Initiative): Research, development, and validation of novel methods for monitoring postoperative recurrence and new models of adjuvant therapy in lung cancer. Role: Principal Investigator. Status: Ongoing

2. National Natural Science Foundation of China (NSFC), General Program: Development of a plasma diagnostic method for distinguishing benign and malignant pulmonary nodules and investigation of related mechanisms based on machine learning, metabolomics, and multi-omics. Role: Principal Investigator. Status: Ongoing

3. Beijing Municipal Natural Science Foundation-Haidian Original Innovation Joint Fund: Establishment and application of a multi-dimensional early lung cancer screening system based on multi-omics. Role: Participant. Status: Ongoing

4. Peking University "Medicine + X" Pioneering Program, (Challenge Project): Next-generation life omics for mesoscale analysis of rare and highly prevalent tumors. Role: Participant. Status: Ongoing.

5. Peking University Health Science Center - University of Michigan Medical School Joint Institute for Clinical and Translational Research: Michigan-Peking Cancer Biomarker Collaborative. Role: Key Member. Status: Ongoing.

6. Two Young Investigator Programs of Clinical Medicine + X, Peking University Health Science Center. Role: Co-Principal Investigator. Status: Completed.

7. National Natural Science Foundation of China (NSFC), Young Scientist Fund: Research on early lung cancer diagnosis based on machine learning, lipidomics, and mass spectrometry imaging. Role: Principal Investigator. Status: Completed

8. Beijing Municipal Education Commission's Emergency Scientific Research Project on COVID-19 Prevention and Control: Rapid detection of COVID-19 assisted by artificial intelligence and plasma metabolomics. Role: Key Member. Status: Completed.

Awards and Honors

2024 Huaxia Medical Science and Technology Award (Third Class) (3rd Contributor)

2023 Beijing Science and Technology Award (Second Class) (3rd Contributor)

2017 Chinese Medical Science and Technology Award (Second Class) (3rd Contributor)

2024 Peking University Outstanding Class Advisor

2025 Peking University Health Science Center (PKUHSC) Outstanding Communist Party Member

2024 PKUHSC Youth Pace-setter

2020 PKUHSC "Three-wide Education" Commendation

2022 Peking University & PKUHSC Outstanding Postdoctoral Researcher

2021 School of Basic Medical Sciences Outstanding Communist Party Member

2023 School of Basic Medical Sciences Advanced Individual in Student Recruitment

2024 School of Basic Medical Sciences Outstanding Graduate Student Advisor

2016 Peking University Student May Fourth Medal

2016 Beijing Municipal Triple-A Student and Outstanding Graduate

2021 Peking University Outstanding Trade Union Activist