Evidence map›Paper›PMID 25604144›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Competing endogenous RNA interplay in cancer: mechanism, methodology, and perspectives.

Dong-Liang Cheng, Yuan-Yuan Xiang, Li-juan Ji, Xiao-Jie Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

88 citing papers in PubMed, 154 citations in OpenAlex.

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  14. Role of ferroptosis in esophageal cancer and corresponding immunotherapy.World journal of gastrointestinal oncology · 2023
    Review
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28 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Dong-Liang ChengDepartment of Cardiothoracic Surgery, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan City, Hubei Province, China.
Yuan-Yuan Xiang
Li-juan Ji
Xiao-Jie Lu
Xuzhou Medical College · CNShanghai East Hospital · CNTaihe Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competing endogenous RNAs (ceRNAs) refer to RNA transcripts, such as mRNAs, non-coding RNAs, pseudogene transcripts, and circular RNAs, that can regulate each other by competing for the same pool of miRNAs. ceRNAs involve in the pathogenesis of several common cancers such as prostate cancer, liver cancer, breast cancer, lung cancer, gastric cancer, endometrial cancer, and so on. ceRNA activity is determined by factors such as miRNA/ceRNA abundance, ceRNAs binding affinity to miRNAs, RNA editing, and RNA-binding proteins. The alteration of any of these factors may lead to ceRNA network imbalance and thus contribute to cancer initiation and progression. There are generally three steps in ceRNA research conductions: ceRNA prediction, ceRNA validation, and ceRNA functional investigation. Deciphering ceRNA interplay in cancer provides new insight into cancer pathogenesis and opportunities for therapy exploration. In this review, we try to give readers a concise and reliable illustration on the mechanism, functions, research approaches, and perspective of ceRNA in cancer.

Indexed as

Gene Regulatory NetworksHumansMicroRNAsNeoplasmsRNARNA-Binding ProteinsRNA, CircularRNA, MessengerRNA, UntranslatedMicroRNAsRNARNA-Binding ProteinsRNA, CircularRNA, MessengerRNA, Untranslated

Identifiers

PMID25604144
OpenAlexW1998618295

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.