Evidence map›Paper›PMID 30421585›Full record

ArticleJournal of cellular and molecular medicine2019

ce-Subpathway: Identification of ceRNA-mediated subpathways via joint power of ceRNAs and pathway topologies.

Chenchen Feng, Chao Song, Ziyu Ning, Bo Ai, Qiuyu Wang, Yong Xu, Meng Li, Xuefeng Bai, Jianmei Zhao, Yuejuan Liu and 3 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Illuminating lncRNA Function Through Target Prediction.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  5. Article
  6. Article
  7. 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

13 authors.

Chenchen FengSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Chao SongDepartment of Pharmacology, Daqing Campus, Harbin Medical University, Daqing, China.
Ziyu NingSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Bo AiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Qiuyu WangSchool of Nursing, Daqing Campus, Harbin Medical University, Daqing, China.
Yong XuThe fifth Affiliated Hospital of Harbin Medical University, Daqing, China.
Meng LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Xuefeng BaiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Jianmei ZhaoSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Yuejuan LiuSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Xuecang LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Jian ZhangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.
Chunquan LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.ORCID 0000-0002-4700-5496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competing endogenous RNAs (ceRNAs) represent a novel mechanism of gene regulation that may mediate key subpathway regions and contribute to the altered activities of pathways. However, the classical methods used to identify pathways fail to specifically consider ceRNAs within the pathways and key regions impacted by them. We proposed a powerful strategy named ce-Subpathway for the identification of ceRNA-mediated functional subpathways. It provided an effective level of pathway analysis via integrating ceRNAs, differentially expressed (DE) genes and their key regions within the given pathways. We respectively analysed one pulmonary arterial hypertension (PAH) and one myocardial infarction (MI) data sets and demonstrated that ce-Subpathway could identify many subpathways whose corresponding entire pathways were ignored by those non-ceRNA-mediated pathway identification methods. And these pathways have been well reported to be associated with PAH/MI-related cardiovascular diseases. Further evidence showed reliability of ceRNA interactions and robustness/reproducibility of the ce-Subpathway strategy by several data sets of different cancers, including breast cancer, oesophageal cancer and colon cancer. Survival analysis was finally applied to illustrate the clinical application value of the ceRNA-mediated functional subpathways using another data sets of pancreatic cancer. Comprehensive analyses have shown the power of a joint ceRNAs/DE genes and subpathway strategy based on their topologies.

Indexed as

Gene Expression Regulation, NeoplasticHumansMyocardial InfarctionNeoplasmsPulmonary Arterial HypertensionReproducibility of ResultsRNASignal TransductionRNAceRNAsdifferentially expressed genessubpathwaystopological property

Identifiers

PMID30421585
PMCPMC6349186

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Registered trials

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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.