Evidence map›Paper›PMID 34869591›Full record

ReviewFrontiers in molecular biosciences2021

Diverse Roles and Therapeutic Potentials of Circular RNAs in Urological Cancers.

Song Wang, Yufan Ying, Xueyou Ma, Weiyu Wang, Xiao Wang, Liping Xie

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 1 institution in 1 country.

Song WangDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yufan YingDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xueyou MaDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Weiyu WangDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiao WangDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Liping XieDepartment of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are a novel class of noncoding RNAs, which are mainly formed as a loop structure at the exons caused by noncanonical splicing; they are much more stable than linear transcripts; recent reports have suggested that the dysregulation of circRNAs is associated with the occurrence and development of diseases, especially various human malignancies. Emerging evidence demonstrated that a large number of circRNAs play a vital role in a series of biological processes such as tumor cell proliferation, migration, drug resistance, and immune escape. Additionally, circRNAs were also reported to be potential prognostic and diagnostic biomarkers in cancers. In this work, we systematically summarize the biogenesis and characteristics of circRNAs, paying special attention to potential mechanisms and clinical applications of circRNAs in urological cancers, which may help develop potential therapy targets for urological cancers in the future.

Indexed as

biomarkercircular RNAsmechanismtherapy targetsurological cancers

Identifiers

PMID34869591
PMCPMC8640215
OpenAlexW3216801088

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.