Evidence map›Paper›PMID 28389669›Full record

ArticleScientific reports2017

Exploring functions of long noncoding RNAs across multiple cancers through co-expression network.

Suqing Li, Bin Li, Yuanting Zheng, Menglong Li, Leming Shi, Xuemei Pu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Screening of key methylation-driven genes CDO1 in breast cancer based on WGCNA.Cancer biomarkers : section A of Disease markers · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Suqing LiCollege of Chemistry, Sichuan University, Chengdu, 610064, China.
Bin LiCenter for Pharmacogenomics, School of Life Sciences, and State Key Laboratory of Genetic Engineering and Shanghai Cancer Center/Cancer Institute, Fudan University, Shanghai, 201203, China.
Yuanting ZhengCenter for Pharmacogenomics, School of Life Sciences, and State Key Laboratory of Genetic Engineering and Shanghai Cancer Center/Cancer Institute, Fudan University, Shanghai, 201203, China.
Menglong LiCollege of Chemistry, Sichuan University, Chengdu, 610064, China.
Leming ShiCenter for Pharmacogenomics, School of Life Sciences, and State Key Laboratory of Genetic Engineering and Shanghai Cancer Center/Cancer Institute, Fudan University, Shanghai, 201203, China. lemingshi@fudan.edu.cn.
Xuemei PuCollege of Chemistry, Sichuan University, Chengdu, 610064, China. xmpuscu@scu.edu.cn.
Sichuan University · CNState Key Laboratory of Genetic EngineeringFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to protein-coding genes, long-noncoding RNAs (lncRNAs) are much less well understood, despite increasing evidence indicating a wide range of their biological functions, and possible roles in various cancers. Based on public RNA-seq datasets of four solid cancer types, we here utilize Weighted Correlation Network Analysis (WGCNA) to propose a strategy for exploring the functions of lncRNAs altered in more than two cancer types, which we call onco-lncRNAs. Results indicate that cancer-expressed lncRNAs show high tissue specificity and are weakly expressed, more so than protein-coding genes. Most of the 236 onco-lncRNAs we identified have not been reported to have associations with cancers before. Our analysis exploits co-expression network to reveal that onco-lncRNAs likely play key roles in the multistep development of human cancers, covering a wide range of functions in genome stability maintenance, signaling, cell adhesion and motility, morphogenesis, cell cycle, immune and inflammatory response. These observations contribute to a more comprehensive understanding of cancer-associated lncRNAs, while demonstrating a novel and efficient strategy for subsequent functional studies of lncRNAs.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksComputational BiologyGene Expression ProfilingGene OntologyHumansMolecular Sequence AnnotationNeoplasmsPrognosisRNA, Long NoncodingSignal TransductionTranscriptomeRNA, Long Noncoding

Identifiers

PMID28389669
PMCPMC5429718
OpenAlexW2604844899

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.