Evidence map›Paper›PMID 38504100›Full record

ArticleNature communications2024

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 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Esophageal cancer: from pathogenesis to precision therapies.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Immunomodulation ofFoods (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Yan Zhao *Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.ORCID http://orcid.org/0000-0002-9198-4521
Changchun Ma *Radiation Oncology Department, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Rongzhi CaiRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Lijing XinAnimal Imaging and Technology Core, Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-5450-6109
Yongsheng LiDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.ORCID http://orcid.org/0000-0003-2175-9449
Lixin KeRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Wei YeRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Ting OuyangRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Jiahao LiangRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Renhua WuRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China. cjr.wurenhua@vip.163.com.ORCID http://orcid.org/0000-0001-9803-2825
Yan LinRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China. 994809889@qq.com.ORCID http://orcid.org/0000-0002-8284-9029
Shantou University · CNChongqing University · CNÉcole Polytechnique Fédérale de Lausanne · CH

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82071973 to Y.L., 82020108016 to R.H.W.
6 · The paper itself

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).

Indexed as

Carcinoma, Squamous CellEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaBiomarkers, TumorEarly DiagnosisHumansMetabolomeBiomarkers, Tumor

Identifiers

PMID38504100
PMCPMC10951220
OpenAlexW4392950492

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.