Evidence map›Paper›PMID 35286362›Full record

SynthesisPloS one2022

Clinicopathological and prognostic significance of long non-coding RNA EWSAT1 in human cancers: A review and meta analysis.

Jian Wen, Haima Li, Dongdong Li, Xieping Dong

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Circulating long non-coding RNANon-coding RNA research · 2024
    Article
  4. 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

4 authors at 1 institution in 1 country.

Jian WenPeople's Clinical Medical College affiliated to Nanchang University, Nanchang, Jiangxi, China.
Haima LiPeople's Clinical Medical College affiliated to Nanchang University, Nanchang, Jiangxi, China.
Dongdong LiPeople's Clinical Medical College affiliated to Nanchang University, Nanchang, Jiangxi, China.
Xieping DongPeople's Clinical Medical College affiliated to Nanchang University, Nanchang, Jiangxi, China.ORCID 0000-0001-6919-151X
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEwing sarcoma-associated transcript 1 (lncRNA EWSAT1) is reported to have a close relationship with the overall survival in many cancers. However, the role of its prognosis and correlations with the clinicopathological features in different cancers haven't been explored yet. Herein, we intend to assess the prognostic value and correlations with the clinicopathological features in several cancers.

methodsPubMed, Embase, Web of Science, and The Cochrane Library were searched for literature review from inception to October 25, 2021. Valid data was extracted to make forest and sensitivity analysis plots using Review Manager 5.4 and Stata software. Hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the relationship between different expression of EWSAT1 and patients' prognosis and clinicopathological features.

results7 studies were screened for this review, including 550 samples. Meta-analysis showed that high expression of lncRNA EWSAT1 was associated with poor overall survival (OS) (HR = 2.10, 95% CI, 1.60-2.75, p < 0.0001) in cancers reported. In addition, patients in high expression group of EWAST1 tended to have more metastasis (OR = 2.20, 95% CI 1.47-3.31, p = 0.0001), and higher TNM stage (I+II vs. III: OR = 0.34, 95% CI 0.21-0.56, p < 0.0001), but in the same time with higher differentiation (well + moderate vs. Poor: OR = 2.21, 95% CI 1.02-4.76, p = 0.04). Age (OR = 1.47, 95% CI 0.94-2.30, p = 0.09) was not significantly different in patients with aberrant expression of EWSAT1.

conclusionsOur study shows that high expression of EWSAT1 may indicate poor overall survival and associated with several clinicopathological features, which can be used as a potential prognosis biomarker for multiple cancers.

Indexed as

NeoplasmsRNA, Long NoncodingBiomarkers, TumorHumansPrognosisProportional Hazards ModelsBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID35286362
PMCPMC8920262
OpenAlexW4220830118

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.