Evidence map›Paper›PMID 35673634›Full record

ArticleInternational journal of general medicine2022

Exosome-Derived miRNAs as Potential Biomarkers for Prostate Bone Metastasis.

Zhenquan Lu, Jian Hou, Xiao Li, Jun Zhou, Bingfeng Luo, Songwu Liang, Richard K Lo, Tak Man Wong, Guan-Ming Kuang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. 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
1.3field-weighted citation impact, top 20% 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, 16 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Zhenquan Lu *Department of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Jian Hou *Department of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Xiao LiDepartment of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Jun ZhouDepartment of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Bingfeng LuoDepartment of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Songwu LiangDepartment of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.ORCID 0000-0002-5664-8776
Richard K LoDepartment of Urology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Tak Man WongDepartment of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Guan-Ming KuangDepartment of Orthopaedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong Province, People's Republic of China.
University of Hong Kong - Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to identify the potential exosome-derived microRNAs (miRNAs) related to prostate cancer (Pca) bone metastasis. Methods: Two datasets were collected. One dataset was from the authors' institute, for which two groups of 10 patients each were designed: in the first one, the patients had early-stage localised Pca without bone metastasis, and in the other, the patients presented with Pca with bone metastasis. Then, the miRNA expression profiles of the blood exosomes were obtained and analysed. The other dataset was a public dataset of the miRNA expression transcriptome (GSE26964), which was downloaded from Gene Expression Omnibus (GEO). The results of both datasets were jointly analysed and the most bone-metastatic-related differentially expressed miRNAs (diff-miRNAs) were identified and further validated. Finally, a series of bioinformatics analyses were performed and the relationship between target genes of the diff-miRNAs and the pathogenesis and progression of bone metastasis of Pca were studied. Results: From the authors' dataset, in all, 313 diff-miRNAs were identified, of which 205 were up-regulated while 108 were down-regulated. From the GSE26964 dataset, 107 diff-miRNAs were found, of which 44 were up-regulated and 63 were down-regulated. Taking the intersection of the results of both datasets, four diff-miRNAs were identified: hsa-miR-125a-3p, hsa-miR-330-3p, hsa-miR-339-5p and hsa-miR-613. In all, 94 target genes of the four diff-miRNAs were predicted. After considering the intersection of the results from the GSE32269 dataset, we obtained 25 target genes. Although either positive or negative correlations were found among the diff-miRNAs with some of the target genes, there is a lack of evidence on how such correlations regulate the development and promotion of Pca bone metastasis. Conclusion: Hsa-miR-125a-3p, hsa-miR-330-3p, hsa-miR-339-5p and hsa-miR-613 are potential biomarkers for Pca bone metastasis.

Indexed as

bioinformatics analysisbone metastasisexosomesmiRNAsprostate cancer

Identifiers

PMID35673634
PMCPMC9167626
OpenAlexW4281904981

What OpenQuestion holds

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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.