Evidence map›Paper›PMID 27786280›Full record

ArticleScientific reports2016

Identification of lncRNA functions in lung cancer based on associated protein-protein interaction modules.

Chih-Hsun Wu, Chia-Lang Hsu, Pei-Chun Lu, Wen-Chang Lin, Hsueh-Fen Juan, Hsuan-Cheng Huang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. LncRNAOncoTargets and therapy · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. LOC285629 regulates cell proliferation and motility in colorectal cancer cells.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Article
  15. Article
  16. Review
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.

Chih-Hsun WuInstitute of Biotechnology in Medicine, National Yang-Ming University, Taipei 112, Taiwan.
Chia-Lang HsuDepartment of Life Science, National Taiwan University, Taipei 106, Taiwan.
Pei-Chun LuInstitute of Biomedical Informatics, Center for Systems and Synthetic Biology, National Yang-Ming University, Taipei 112, Taiwan.
Wen-Chang LinInstitute of Biotechnology in Medicine, National Yang-Ming University, Taipei 112, Taiwan.
Hsueh-Fen JuanDepartment of Life Science, National Taiwan University, Taipei 106, Taiwan.
Hsuan-Cheng HuangInstitute of Biomedical Informatics, Center for Systems and Synthetic Biology, National Yang-Ming University, Taipei 112, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have been found to play important roles in various biological processes; however, many of their functions remain unclear. In this study, we present a novel approach to identify the lncRNA-associated protein-protein interaction (PPI) modules and ascertain their functions in human lung squamous cell carcinoma. We collected lncRNA and mRNA expression profiles of lung squamous cell carcinoma from The Cancer Genome Atlas. To identify the lncRNA-associated PPI modules, lncRNA-mRNA co-expression networks were first constructed based on the mutual ranks of expression correlations. Next, we examined whether the co-expressed mRNAs of a specific lncRNA were closely connected by PPIs. For this, a significantly connected mRNA set was considered to be the lncRNA-associated PPI module. Finally, the prospective functions of a lncRNA was inferred using Gene Ontology enrichment analysis on the associated module. We found that lncRNA-associated PPI modules were subtype-dependent and each subtype had unique molecular mechanisms. In addition, antisense lncRNAs and sense genes tended to be functionally associated. Our results might provide new directions for understanding lncRNA regulations in lung cancer. The analysis pipeline was implemented in a web tool, available at http://lncin.ym.edu.tw/.

Indexed as

Carcinoma, Squamous CellDatabases, Nucleic AcidGene Expression ProfilingGlucose Transporter Type 1HumansLung NeoplasmsMicroRNAsProtein Interaction MapsRNA, AntisenseRNA, Long NoncodingRNA, MessengerRNA, NeoplasmGlucose Transporter Type 1MicroRNAsMIRN143 microRNA, humanRNA, AntisenseRNA, Long NoncodingRNA, MessengerRNA, NeoplasmSLC2A1 protein, human

Identifiers

PMID27786280
PMCPMC5081511

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.