Evidence map›Paper›PMID 26305674›Full record

ArticleOncotarget2015

Construction and analysis of lncRNA-lncRNA synergistic networks to reveal clinically relevant lncRNAs in cancer.

Yongsheng Li, Juan Chen, Jinwen Zhang, Zishan Wang, Tingting Shao, Chunjie Jiang, Juan Xu, Xia Li

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. The long noncoding RNAFrontiers in immunology · 2026
    Article
  2. Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Non-Coding RNAs and their Integrated Networks.Journal of integrative bioinformatics · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

8 authors.

Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Juan ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jinwen ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zishan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Tingting ShaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chunjie JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) play key roles in diverse biological processes. Moreover, the development and progression of cancer often involves the combined actions of several lncRNAs. Here we propose a multi-step method for constructing lncRNA-lncRNA functional synergistic networks (LFSNs) through co-regulation of functional modules having three features: common coexpressed genes of lncRNA pairs, enrichment in the same functional category and close proximity within protein interaction networks. Applied to three cancers, we constructed cancer-specific LFSNs and found that they exhibit a scale free and modular architecture. In addition, cancer-associated lncRNAs tend to be hubs and are enriched within modules. Although there is little synergistic pairing of lncRNAs across cancers, lncRNA pairs involved in the same cancer hallmarks by regulating same or different biological processes. Finally, we identify prognostic biomarkers within cancer lncRNA expression datasets using modules derived from LFSNs. In summary, this proof-of-principle study indicates synergistic lncRNA pairs can be identified through integrative analysis of genome-wide expression data sets and functional information.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksAlgorithmsFemaleGene OntologyGlioblastomaHumansMaleModels, GeneticNeoplasmsOvarian NeoplasmsPrognosisProstatic NeoplasmsRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, Messengerfunctional synergistic networkhallmark of cancerlong non-coding RNAnetwork hubprognostic module

Identifiers

PMID26305674
PMCPMC4694810

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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.