Evidence map›Paper›PMID 33408521›Full record

ReviewCancer management and research2020

Reflections on the Role of Malat1 in Gynecological Cancer.

Huiyan Liao, Qi Chen, Jing Xiao

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Mechanistic studies of MALAT1 in respiratory diseases.Frontiers in molecular biosciences · 2022
    Review
  8. Review
  9. 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

3 authors at 1 institution in 1 country.

Huiyan LiaoThe 2nd Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province 510006, People's Republic of China.
Qi ChenThe 6th Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province 510006, People's Republic of China.
Jing XiaoDepartment of Gynecology, the University Town Branch, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province 510120, People's Republic of China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) have received significant attention over the last few years. Malat1, as one of the most extensively studied ncRNAs, is believed to be not only a potential biomarker for disease diagnosis and prognosis, but also a candidate drug target for gynecological cancers. This potential is supported by a growing body of experimental evidence demonstrating that Malat1 participates in the occurrence, progression, and metastasis of tumors. Research has also shown that Malat1 can influence patient survival by regulating a range of target genes and signaling pathways. However, previous review articles have generally failed to consider the role of Malat1 in gynecological cancer in detail. In the present review, we summarize recent progress in research relating to the clinical relevance of Malat1 and the molecular mechanisms underlying the action of this ncRNA. Besides, we put forward some action points for further research after taking into consideration the sub-location and other essential properties of Malat1, which might enable us to have a better understanding of the potential of this molecule regarding clinical diagnosis and treatment.

Indexed as

biomarkersgynecological cancerLncRNAMalat1molecular functionstherapeutic targets

Identifiers

PMID33408521
PMCPMC7779295
OpenAlexW3115733554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.