Evidence map›Paper›PMID 32117711›Full record

ReviewFrontiers in oncology2020

Long Non-coding Wilms Tumor 1 Antisense RNA in the Development and Progression of Malignant Tumors.

Ye Zhang, Lin-Jun Fan, Yi Zhang, Jun Jiang, Xiao-Wei Qi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. LncRNAOncoTargets and therapy · 2020
    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

5 authors at 1 institution in 1 country.

Ye ZhangDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Lin-Jun FanDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Yi ZhangDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jun JiangDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xiao-Wei QiDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Southwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing number of studies have shown that long non-coding RNAs (lncRNAs) play an important role in tumor development and progression and are key molecules affecting tumor progression. The lncRNA Wilms tumor 1 antisense RNA (WT1-AS) is specifically expressed in various malignant tumors. In particular, WT1-AS expression is upregulated in colon cancer and breast cancer but is significantly downregulated in cervical cancer, liver cancer, and kidney cancer. The level of WT1-AS expression is closely related to the size, stage, and patient survival rate of these cancers. In this article, we review the modes of action, expression, function, and mechanisms of WT1-AS in different tumors to provide new targets for tumor diagnosis and treatment.

Indexed as

expressionfunctionlong non-coding RNAtumorWilms tumor 1 antisense RNA

Identifiers

PMID32117711
PMCPMC7033608
OpenAlexW3006387055

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.