Evidence map›Paper›PMID 28937628›Full record

ArticleMolecules (Basel, Switzerland)2017

Integrative Pathway Analysis of Genes and Metabolites Reveals Metabolism Abnormal Subpathway Regions and Modules in Esophageal Squamous Cell Carcinoma.

Chunquan Li, Qiuyu Wang, Jiquan Ma, Shengshu Shi, Xin Chen, Haixiu Yang, Junwei Han

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2017. 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
0.4field-weighted citation impact, top 40% 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, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. The diverse role of RNA methylation in esophageal cancer.Acta biochimica et biophysica Sinica · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
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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

7 authors at 2 institutions in 1 country.

Chunquan LiDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China. lcqbio@163.com.
Qiuyu WangDepartment of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China. wangqiuyu900490@163.com.
Jiquan MaDepartment of Computer Science and Technology, Heilongjiang University, Harbin 150080, China. jiquanma@126.com.
Shengshu ShiDepartment of Computer Science and Technology, Heilongjiang University, Harbin 150080, China. 2001043@hlju.edu.cn.
Xin ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. chenxin00001@163.com.
Haixiu YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. yanghaixiu@ems.hrbmu.edu.cn.
Junwei HanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. hanjunwei@ems.hrbmu.edu.cn.
Harbin Medical University · CNHeilongjiang University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant metabolism is one of the main driving forces in the initiation and development of ESCC. Both genes and metabolites play important roles in metabolic pathways. Integrative pathway analysis of both genes and metabolites will thus help to interpret the underlying biological phenomena. Here, we performed integrative pathway analysis of gene and metabolite profiles by analyzing six gene expression profiles and seven metabolite profiles of ESCC. Multiple known and novel subpathways associated with ESCC, such as 'beta-Alanine metabolism', were identified via the cooperative use of differential genes, differential metabolites, and their positional importance information in pathways. Furthermore, a global ESCC-Related Metabolic (ERM) network was constructed and 31 modules were identified on the basis of clustering analysis in the ERM network. We found that the three modules located just to the center regions of the ERM network-especially the core region of Module_1-primarily consisted of aldehyde dehydrogenase (ALDH) superfamily members, which contributes to the development of ESCC. For Module_4, pyruvate and the genes and metabolites in its adjacent region were clustered together, and formed a core region within the module. Several prognostic genes, including GPT, ALDH1B1, ABAT, WBSCR22 and MDH1, appeared in the three center modules of the network, suggesting that they can become potentially prognostic markers in ESCC.

Indexed as

beta-AlanineBiphenyl CompoundsCarcinoma, Squamous CellChromatography, LiquidCyclohexanonesCytochrome P-450 CYP2C8Cytochrome P-450 Enzyme SystemEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiverMicrosomesProtein IsoformsTandem Mass Spectrometrybeta-AlanineBiphenyl CompoundsCyclohexanonesCytochrome P-450 CYP2C8Cytochrome P-450 Enzyme SystemProtein Isoformsselaginellin MESCCmetabolic pathwaynetwork

Identifiers

PMID28937628
PMCPMC6151487
OpenAlexW2756851336

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.