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Chen Y, Wang B, Zhao Y, Shao X, Wang M, Ma F, Yang L, Nie M, Jin P, Yao K, Song H, Lou S, Wang H, Yang T, Tian Y, Han P, Hu Z. Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer. Nat Commun 2024; 15:1657. [PMID: 38395893 PMCID: PMC10891053 DOI: 10.1038/s41467-024-46043-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Gastric cancer (GC) represents a significant burden of cancer-related mortality worldwide, underscoring an urgent need for the development of early detection strategies and precise postoperative interventions. However, the identification of non-invasive biomarkers for early diagnosis and patient risk stratification remains underexplored. Here, we conduct a targeted metabolomics analysis of 702 plasma samples from multi-center participants to elucidate the GC metabolic reprogramming. Our machine learning analysis reveals a 10-metabolite GC diagnostic model, which is validated in an external test set with a sensitivity of 0.905, outperforming conventional methods leveraging cancer protein markers (sensitivity < 0.40). Additionally, our machine learning-derived prognostic model demonstrates superior performance to traditional models utilizing clinical parameters and effectively stratifies patients into different risk groups to guide precision interventions. Collectively, our findings reveal the metabolic landscape of GC and identify two distinct biomarker panels that enable early detection and prognosis prediction respectively, thus facilitating precision medicine in GC.
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Affiliation(s)
- Yangzi Chen
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Bohong Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yizi Zhao
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Xinxin Shao
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Mingshuo Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Fuhai Ma
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
- Department of General Surgery, Department of Gastrointestinal Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Laishou Yang
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Meng Nie
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Peng Jin
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
- Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Ke Yao
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Haibin Song
- Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Shenghan Lou
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Hang Wang
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Tianshu Yang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Shanghai Qi Zhi Institute, Shanghai, 200438, China
| | - Yantao Tian
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China.
| | - Peng Han
- Department of Oncology Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
- Key Laboratory of Tumor Immunology in Heilongjiang, Harbin, 150081, China.
| | - Zeping Hu
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, 100084, China.
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