Evidence map›Paper›PMID 30175284›Full record

ReviewNon-coding RNA research2018

Exploring the mechanisms behind long noncoding RNAs and cancer.

Maggie M Balas, Aaron M Johnson

Abstract readReview
In one paragraph

Review in Non-coding RNA research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 2 pooled it
–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

179 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. LncRNANon-coding RNA research · 2025
    Article
  17. The RNA NCell death & disease · 2025
    Article
  18. Article
  19. Review
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119 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

2 authors.

Maggie M BalasMolecular Biology Program, University of Colorado Denver Anschutz Medical Campus 12801 East 17th Ave., Aurora, CO, United States.
Aaron M JohnsonMolecular Biology Program, University of Colorado Denver Anschutz Medical Campus 12801 East 17th Ave., Aurora, CO, United States.

Funding

Mechanisms of heterochromatin targeting and epigenetic genome regulationR35GM119575 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI JOHNSON, AARON M. · 2016 to 2020
$1.9M
NIGMS NIH HHS R35 GM119575
6 · The paper itself

Abstract

Over the past decade, long noncoding RNAs (lncRNAs) have been identified as significant players in gene regulation. They are often differentially expressed and widely-associated with a majority of cancer types. The aberrant expression of these transcripts has been linked to tumorigenesis, metastasis, cancer stage progression and patient survival. Despite their apparent link to cancer, it has been challenging to gain a mechanistic understanding of how they contribute to cancer, partially due the difficulty in discriminating functional RNAs from other noncoding transcription events. However, there are several well-studied lncRNAs where specific mechanisms have been more clearly defined, leading to new discoveries into how these RNAs function. One major observation that has come to light is the context-dependence of lncRNA mechanisms, where they often have unique function in specific cell types and environment. Here, we review the molecular mechanisms of lncRNAs with a focus on cancer pathways, illustrating a few informative examples. Together, this type of detailed insight will lead to a greater understanding of the potential for the application of lncRNAs as targets of cancer therapies and diagnostics.

Indexed as

CancerChromatinHOTAIRlncRNAMEG3TUG1

Identifiers

PMID30175284
PMCPMC6114262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.