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Zhao Y, Ma C, Cai R, Xin L, Li Y, Ke L, Ye W, Ouyang T, Liang J, Wu R, Lin Y. NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection. Nat Commun 2024; 15:2463. [PMID: 38504100 PMCID: PMC10951220 DOI: 10.1038/s41467-024-46837-0] [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: 08/29/2023] [Accepted: 03/06/2024] [Indexed: 03/21/2024] Open
Abstract
Metabolic changes precede malignant histology. However, it remains unclear whether detectable characteristic metabolome exists in esophageal squamous cell carcinoma (ESCC) tissues and biofluids for early diagnosis. Here, we conduct NMR- and MS-based metabolomics on 1,153 matched ESCC tissues, normal mucosae, pre- and one-week post-operative sera and urines from 560 participants across three hospitals, with machine learning and WGCNA. Aberrations in 'alanine, aspartate and glutamate metabolism' proved to be prevalent throughout the ESCC evolution, consistently identified by NMR and MS, and reflected in 16 serum and 10 urine metabolic signatures in both discovery and validation sets. NMR-based simplified panels of any five serum or urine metabolites outperform clinical serological tumor markers (AUC = 0.984 and 0.930, respectively), and are effective in distinguishing early-stage ESCC in test set (serum accuracy = 0.994, urine accuracy = 0.879). Collectively, NMR-based biofluid screening can reveal characteristic metabolic events of ESCC and be feasible for early detection (ChiCTR2300073613).
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Affiliation(s)
- Yan Zhao
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Central Laboratory, Clinical Research Center, Shantou Central Hospital, Shantou, Guangdong, China
| | - Changchun Ma
- Radiation Oncology Department, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Rongzhi Cai
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Lijing Xin
- Animal Imaging and Technology Core, Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Yongsheng Li
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China
| | - Lixin Ke
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Wei Ye
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Ting Ouyang
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Jiahao Liang
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Renhua Wu
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Yan Lin
- Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
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