Evidence map›Paper›PMID 35673576›Full record

ReviewTheranostics2022

Circular RNAs modulate Hippo-YAP signaling: functional mechanisms in cancer.

Javeria Qadir, Feiya Li, Burton B Yang

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2022. 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
2.0field-weighted citation impact, top 13% 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, 23 citations in OpenAlex.

  1. Review
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  10. Inflammation and tumor microenvironment.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Review
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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

3 authors at 2 institutions in 2 countries.

Javeria QadirSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada.
Feiya LiSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada.
Burton B YangSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada.
Sunnybrook Health Science Centre · CASunnybrook Research Institute

Funding

CIHR PJT-153105CIHR PJT-155962CIHR PJT-166107
6 · The paper itself

Abstract

The Hippo signaling pathway is an evolutionarily conserved network that regulates organ size and tissue homeostasis in mammals. This pathway controls various cell functions, such as growth, proliferation, survival, apoptosis, and stemness by switching 'on' or 'off' its inhibitory and/or transcriptional module, thereby regulating target gene(s) expression. Altered Hippo signaling has been implicated in various forms of cancers. Increasing evidence suggests cross-talk between the Hippo signaling pathway and non-coding RNAs, in particular circular RNAs (circRNAs). In this context, the current review presents the mechanistic interplay between the Hippo pathway and related circRNAs in various forms of cancers, along with the capabilities of these circRNAs to function either as tumor suppressors or oncogenes through miRNA sponging or protein binding mechanisms. Furthermore, we discuss the constraints and limitations in circRNA mechanistic studies while highlighting some outstanding questions regarding the roles of circRNAs associated with the Hippo-YAP pathway in cancer. Finally, we delineate the potential of these circRNAs to be employed as diagnostic and prognostic biomarkers, as well as molecular hotspots for cancer therapy.

Indexed as

NeoplasmsRNA, CircularAnimalsApoptosisCell ProliferationMammalsSignal TransductionRNA, Circularcancer progressioncircRNAcircular RNAHippo pathwaysignal transductionYAP

Identifiers

PMID35673576
PMCPMC9169354
OpenAlexW4285304567

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.