Evidence map›Paper›PMID 27019331›Full record

ArticleCancer science2016

Metabonomic changes from pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma in tissues from rats.

Shi Wen, Zhishui Li, Jianghua Feng, Jianxi Bai, Xianchao Lin, Heguang Huang

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017
    Review
  11. Article
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

6 authors at 3 institutions in 1 country.

Shi WenDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Zhishui LiDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China.
Jianghua FengDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China.
Jianxi BaiDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Xianchao LinDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Heguang HuangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Fujian Medical University · CNXiamen University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant tumors and is difficult to diagnose in the early phase. This study was aimed at obtaining the metabolic profiles and characteristic metabolites of pancreatic intraepithelial neoplasia (PanIN) and PDAC tissues from Sprague-Dawley (SD) rats to establish metabonomic methods used in the early diagnosis of PDAC. In the present study, the animal models were established by embedding 7,12-dimethylbenzanthracene (DMBA) in the pancreas of SD rats to obtain PanIN and PDAC tissues. After the preprocessing of tissues, (1) H nuclear magnetic resonance (NMR) spectroscopy combined with multivariate and univariate statistical analysis was applied to identify the potential metabolic signatures and the corresponding metabolic pathways. Pattern recognition models were successfully established and differential metabolites, including glucose, amino acids, carboxylic acids and coenzymes, were screened out. Compared with the control, the trends in the variation of several metabolites were similar in both PanIN and PDAC. Kynurenate and methionine levels were elevated in PanIN but decreased in PDAC, thus, could served as biomarkers to distinguish PanIN from PDAC. Our results suggest that NMR-based techniques combined with multivariate statistical analysis can distinguish the metabolic differences among PanIN, PDAC and normal tissues, and, therefore, present a promising approach for physiopathologic metabolism investigations and early diagnoses of PDAC.

Indexed as

MetabolomicsAnimalsBiomarkers, TumorCarcinoma in SituCarcinoma, Pancreatic DuctalEarly Detection of CancerMagnetic Resonance SpectroscopyMalePancreasPancreatic NeoplasmsRatsRats, Sprague-DawleyBiomarkers, TumorBiomarkermetabonomicsnuclear magnetic resonancepancreatic cancerpancreatic intraepithelial neoplasia

Identifiers

PMID27019331
PMCPMC4968602
OpenAlexW2315731425

What OpenQuestion holds

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LicenceCC BY-NC
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.