NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection

Yan Zhao, Changchun Ma, Rongzhi Cai, Lijing Xin, Yongsheng Li, Lixin Ke, Wei Ye, Ting Ouyang, Jiahao Liang, Renhua Wu () and Yan Lin ()
Additional contact information
Yan Zhao: Second Affiliated Hospital of Shantou University Medical College
Changchun Ma: Cancer Hospital of Shantou University Medical College
Rongzhi Cai: Second Affiliated Hospital of Shantou University Medical College
Lijing Xin: Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne
Yongsheng Li: Chongqing University Cancer Hospital
Lixin Ke: Second Affiliated Hospital of Shantou University Medical College
Wei Ye: Second Affiliated Hospital of Shantou University Medical College
Ting Ouyang: Second Affiliated Hospital of Shantou University Medical College
Jiahao Liang: Second Affiliated Hospital of Shantou University Medical College
Renhua Wu: Second Affiliated Hospital of Shantou University Medical College
Yan Lin: Second Affiliated Hospital of Shantou University Medical College

Nature Communications, 2024, vol. 15, issue 1, 1-17

Abstract: 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).

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-024-46837-0 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46837-0

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-46837-0

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().