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pmid:35673634

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

International journal of general medicine · 2022 doi:10.2147/IJGM.S361981

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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title
Exosome-Derived miRNAs as Potential Biomarkers for Prostate Bone Metastasis.
doi
10.2147/IJGM.S361981
pmid
35673634
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[0]
Zhenquan Lu
[1]
Jian Hou
[2]
Xiao Li
[3]
Jun Zhou
[4]
Bingfeng Luo
[5]
Songwu Liang
[6]
Richard K Lo
[7]
Tak Man Wong
[8]
Guan-Ming Kuang
journal
International journal of general medicine
year
2022
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.
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The R package “Limma” was used to analyse the differentially expressed miRNAs (diff-miRNAs) between the Pca-exo and the PBM-exo groups in both the authors’ dataset and the public dataset (p-value < 0.05 and |log2FC| > 1)
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sections[6] "Analysis of Differentially Expressed miRNAs" paragraph 2
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The R package “Limma” was used to analyse the differentially expressed miRNAs (diff-miRNAs) between the Pca-exo and the PBM-exo groups in both the authors’ dataset and the public dataset (p-value < 0.05 and |log2FC| > 1)
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The datasets generated or analysed in the current study are available in the Gene Expression Omnibus (GEO), and the dataset numbers include GSE26964 and GSE32269.The author’s dataset was obtained from the Orthopaedic Research Centre, The University of Hong Kong Shenzhen Hospital.
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The datasets generated or analysed in the current study are available in the Gene Expression Omnibus (GEO), and the dataset numbers include GSE26964 and GSE32269.The author’s dataset was obtained from the Orthopaedic Research Centre, The University of Hong Kong Shenzhen Hospital.
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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.
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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.
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Altered expression of microRNAs in bone metastasis compared with human prostate cancer
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35673634", "kind": "science-record", "revision": 5, "content_hash": "sha256:74ac2a98ab2cc1503d4cc4a7cc7ae102348e9e99641ec13b0bcb47b2d06446be", "created_at": "2026-11-01T18:14:37Z", "updated_at": "2026-11-01T22:49:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exosome-Derived miRNAs as Potential Biomarkers for Prostate Bone Metastasis.", "doi": "10.2147/IJGM.S361981", "pmid": "35673634", "authors": ["Zhenquan Lu", "Jian Hou", "Xiao Li", "Jun Zhou", "Bingfeng Luo", "Songwu Liang", "Richard K Lo", "Tak Man Wong", "Guan-Ming Kuang"], "journal": "International journal of general medicine", "year": 2022, "abstract": "Purpose: The purpose of this study was to identify the potential exosome-derived microRNAs (miRNAs) related to prostate cancer (Pca) bone metastasis.\nMethods: 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.\nResults: 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.\nConclusion: Hsa-miR-125a-3p, hsa-miR-330-3p, hsa-miR-339-5p and hsa-miR-613 are potential biomarkers for Pca bone metastasis.", "claims": [{"id": "claim-method", "statement": "The R package “Limma” was used to analyse the differentially expressed miRNAs (diff-miRNAs) between the Pca-exo and the PBM-exo groups in both the authors’ dataset and the public dataset (p-value < 0.05 and |log2FC| > 1)", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35673634", "locator": "sections[6] \"Analysis of Differentially Expressed miRNAs\" paragraph 2", "quote": "The R package “Limma” was used to analyse the differentially expressed miRNAs (diff-miRNAs) between the Pca-exo and the PBM-exo groups in both the authors’ dataset and the public dataset (p-value < 0.05 and |log2FC| > 1)"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated or analysed in the current study are available in the Gene Expression Omnibus (GEO), and the dataset numbers include GSE26964 and GSE32269.The author’s dataset was obtained from the Orthopaedic Research Centre, The University of Hong Kong Shenzhen Hospital.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35673634", "locator": "sections[26] \"Availability of Data and Materials\" paragraph 2", "quote": "The datasets generated or analysed in the current study are available in the Gene Expression Omnibus (GEO), and the dataset numbers include GSE26964 and GSE32269.The author’s dataset was obtained from the Orthopaedic Research Centre, The University of Hong Kong Shenzhen Hospital."}], "state": "complete"}, {"id": "claim-target-result", "statement": "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.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35673634", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "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."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "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.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35673634"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE26964"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE26964"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35673634", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S361981", "sha256": 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