IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-46837-0.html
   My bibliography  Save this article

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

Author

Listed:
  • Yan Zhao

    (Second Affiliated Hospital of Shantou University Medical College
    Clinical Research Center, Shantou Central Hospital)

  • 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)

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).

Suggested Citation

  • Yan Zhao & Changchun Ma & Rongzhi Cai & Lijing Xin & Yongsheng Li & Lixin Ke & Wei Ye & Ting Ouyang & Jiahao Liang & Renhua Wu & Yan Lin, 2024. "NMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46837-0
    DOI: 10.1038/s41467-024-46837-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-46837-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-46837-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sonia Tarazona & Leandro Balzano-Nogueira & David Gómez-Cabrero & Andreas Schmidt & Axel Imhof & Thomas Hankemeier & Jesper Tegnér & Johan A. Westerhuis & Ana Conesa, 2020. "Harmonization of quality metrics and power calculation in multi-omic studies," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    2. De-Chen Lin, 2023. "Large-scale genomic analyses reveal alterations and mechanisms underlying clonal evolution and immune evasion in esophageal cancer," Nature Communications, Nature, vol. 14(1), pages 1-3, December.
    3. Chuansheng Guo & Zhiyuan You & Hao Shi & Yu Sun & Xingrong Du & Gustavo Palacios & Cliff Guy & Sujing Yuan & Nicole M. Chapman & Seon Ah Lim & Xiang Sun & Jordy Saravia & Sherri Rankin & Yogesh Dhunga, 2023. "SLC38A2 and glutamine signalling in cDC1s dictate anti-tumour immunity," Nature, Nature, vol. 620(7972), pages 200-208, August.
    4. Heli Julkunen & Anna Cichońska & Mika Tiainen & Harri Koskela & Kristian Nybo & Valtteri Mäkelä & Jussi Nokso-Koivisto & Kati Kristiansson & Markus Perola & Veikko Salomaa & Pekka Jousilahti & Annamar, 2023. "Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shiyu Zhang & Zheng Wang & Yijing Wang & Yixiao Zhu & Qiao Zhou & Xingxing Jian & Guihu Zhao & Jian Qiu & Kun Xia & Beisha Tang & Julian Mutz & Jinchen Li & Bin Li, 2024. "A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhening Liu & Hangkai Huang & Jiarong Xie & Yingying Xu & Chengfu Xu, 2024. "Circulating fatty acids and risk of hepatocellular carcinoma and chronic liver disease mortality in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    2. Anna Luiza Silva Almeida Vicente & Alexei Novoloaca & Vincent Cahais & Zainab Awada & Cyrille Cuenin & Natália Spitz & André Lopes Carvalho & Adriane Feijó Evangelista & Camila Souza Crovador & Rui Ma, 2022. "Cutaneous and acral melanoma cross-OMICs reveals prognostic cancer drivers associated with pathobiology and ultraviolet exposure," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Rikke Linnemann Nielsen & Thomas Monfeuga & Robert R. Kitchen & Line Egerod & Luis G. Leal & August Thomas Hjortshøj Schreyer & Frederik Steensgaard Gade & Carol Sun & Marianne Helenius & Lotte Simons, 2024. "Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    4. Shiyu Zhang & Zheng Wang & Yijing Wang & Yixiao Zhu & Qiao Zhou & Xingxing Jian & Guihu Zhao & Jian Qiu & Kun Xia & Beisha Tang & Julian Mutz & Jinchen Li & Bin Li, 2024. "A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    5. Shaopeng Yang & Zhuoting Zhu & Shida Chen & Yixiong Yuan & Mingguang He & Wei Wang, 2023. "Metabolic fingerprinting on retinal pigment epithelium thickness for individualized risk stratification of type 2 diabetes mellitus," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Santiago Diaz-Torres & Samantha Sze-Yee Lee & Luis M. García-Marín & Adrian I. Campos & Garreth Lingham & Jue-Sheng Ong & David A. Mackey & Kathryn P. Burdon & Michael Hunter & Xianjun Dong & Stuart M, 2024. "Uncovering genetic loci and biological pathways associated with age-related cataracts through GWAS meta-analysis," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46837-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.