Evidence map›Paper›PMID 31333313›Full record

ArticleWorld journal of gastroenterology2019

Nuclear magnetic resonance-based metabolomics and metabolic pathway networks from patient-matched esophageal carcinoma, adjacent noncancerous tissues and urine.

Jia-Hao Liang, Yan Lin, Ting Ouyang, Wan Tang, Yao Huang, Wei Ye, Jia-Yun Zhao, Zhe-Ning Wang, Chang-Chun Ma

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Frontiers in oncology · 2023
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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

9 authors at 3 institutions in 1 country.

Jia-Hao LiangDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Yan LinDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China. 994809889@qq.com.
Ting OuyangDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Wan TangDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Yao HuangDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Wei YeDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Jia-Yun ZhaoDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Zhe-Ning WangDepartment of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Chang-Chun MaDepartment of Radiation Oncology, Affiliated Tumor Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China.
Second Affiliated Hospital of Shantou University Medical College · CNShantou University · CNCancer Hospital of Shantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have demonstrated a correlation between esophageal cancer (EC) and perturbed urinary metabolomic profiles, but none has described the correlation between urine metabolite profiles and those of the tumor and adjacent esophageal mucosa in the same patient.

aimTo investigate how urinary metabolic phenotypes were linked to the changes in the biochemical landscape of esophageal tumors.

methodsNuclear magnetic resonance-based metabolomics were applied to esophageal tumor tissues and adjacent normal mucosal tissues alongside patient-matched urine samples.

resultsAnalysis revealed that specific metabolite changes overlapped across both metrics, including glucose, glutamate, citrate, glycine, creatinine and taurine, indicating that the networks for metabolic pathway perturbations in EC, potentially involved in but not limited to disruption of fatty acid metabolism, glucose and glycolytic metabolism, tricarboxylic acid cycle and glutaminolysis. Additionally, changes in most urinary biomarkers correlated with changes in biomarker candidates in EC tissues, implying enhanced energy production for rapid cell proliferation.

conclusionOverall, these associations provide evidence for distinct metabolic signatures and pathway disturbances between the tumor tissues and urine of EC patients, and changes in urinary metabolic signature could reflect reprogramming of the aforementioned metabolic pathways in EC tissues. Further investigation is needed to validate these initial findings using larger samples and to establish the underlying mechanism of EC progression.

Indexed as

Metabolic Networks and PathwaysAdultAgedBiomarkers, TumorDisease ProgressionEsophageal MucosaEsophageal NeoplasmsEsophagectomyFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomeMetabolomicsMiddle AgedPreoperative PeriodBiomarkers, TumorEsophageal cancerMetabolic pathwaysMetabolitesNuclear magnetic resonance-based metabolomicsTumor tissueUrine

Identifiers

PMID31333313
PMCPMC6626731
OpenAlexW2955543163

What OpenQuestion holds

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LicenceCC BY-NC
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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.