Evidence map›Paper›PMID 36890836›Full record

SynthesisFrontiers in oncology2023

Prognostic values of long noncoding RNA in bone metastasis of prostate cancer: A systematic review and meta-analysis.

Silu Song, Yanli Zhu, Xue Zhang, Siyu Chen, Shuang Liu

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2023. 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
1.4field-weighted citation impact, top 18% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Epigenomics · 2024
    Article
  4. 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

5 authors at 1 institution in 1 country.

Silu SongKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Yanli ZhuKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Xue ZhangKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Siyu ChenKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Shuang LiuKey Laboratory of Microecology-Immune Regulatory Network and Related Diseases, Department of Basic Medical, Jiamusi University, Jiamusi, China.
Jiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recent studies have shown that long non-coding RNAs are closely related to the occurrence and development of prostate cancer bone metastasis, and can be used as biomarkers to predict the prognosis of patients. Therefore, this study aimed to systematically evaluate the relationship between the expression levels of long non-coding RNAs and the prognosis of patients. Methods: The studies of lncRNA in prostate cancer bone metastasis from Pubmed, Cochrane library, Embase, Ebsco, Web of science, Scopus, Ovid databases were analyzed, and Stata 15 was used for meta-analysis. Associations between lncRNA expression and patients' overall survival (OS) and bone metastasis-free survival (BMFS) were assessed by correlation analysis with pooled hazard ratios (HR) and 95% confidence intervals (CI). Furthermore, the results were validated using GEPIA2 and UALCAN, online database based on TCGA. Subsequently, the molecular mechanisms of the included lncRNAs were predicted based on the LncACTdb 3.0 database and the lnCAR database. Finally, we used clinical samples to validate lncRNAs that were significantly different in both databases. Results: A total of 5 published studies involving 474 patients were included in this meta-analysis. The results showed that lncRNA overexpression was significantly associated with lower OS (HR = 2.55, 95% CI: 1.69 - 3.99, Conclusions: LncRNA can be used as a novel predictive biomarker for predicting poor prognosis in patients with prostate cancer bone metastasis, which is worthy of clinical validation.

Indexed as

bone metastasislncRNAmeta-analysisprognosisprostate cancer

Identifiers

PMID36890836
PMCPMC9986415
OpenAlexW4321376149

What OpenQuestion holds

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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.