Evidence map›Paper›PMID 26722227›Full record

ArticleOncology letters2015

Competing endogenous RNA: A novel posttranscriptional regulatory dimension associated with the progression of cancer.

Qingsong Dai, Jixia Li, Keyuan Zhou, Tong Liang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. microRNAs: New-Age Panacea in Cancer Therapeutics.Indian journal of surgical oncology · 2021
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

4 authors at 1 institution in 1 country.

Qingsong DaiKey Laboratory for Medical Molecule Activity Research, Guangdong Medical College, Dongguan, Guangdong 523000, P.R. China ; Department of Biochemistry and Molecular Biology, Guangdong Medical College, Dongguan, Guangdong 523000, P.R. China.
Jixia LiDepartment of Biochemistry and Molecular Biology, Guangdong Medical College, Dongguan, Guangdong 523000, P.R. China.
Keyuan ZhouKey Laboratory for Medical Molecule Activity Research, Guangdong Medical College, Dongguan, Guangdong 523000, P.R. China.
Tong LiangKey Laboratory for Medical Molecule Activity Research, Guangdong Medical College, Dongguan, Guangdong 523000, P.R. China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existence of artificial sponges and antisense oligonucleotides designed to decrease the availability of microRNAs (miRNAs), a family of small non-coding RNAs that target RNA transcripts through miRNA response elements (MREs) involved in gene expression, suggests that miRNAs may also be regulated. The wide range of RNA transcripts harboring MREs, termed competing endogenous RNAs (ceRNAs), includes protein-coding messenger RNAs (mRNAs) and non-coding RNAs, for example long non-coding RNAs, pseudogenes and circular RNAs, which compete for a common pool of miRNAs as natural decoys. These ceRNAs are co-regulated and produce large, complex posttranscriptional regulatory networks, which have been implicated in numerous biological processes. The present review discusses recent discoveries that implicate natural microRNA decoys in the development of cancer.

Indexed as

cancercompeting endogenous RNAmicroRNA

Identifiers

PMID26722227
PMCPMC4665929
OpenAlexW2129843124

What OpenQuestion holds

Textmetadata
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.