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pmid:41319483

Integrated analysis of metastasis-related circRNA-miRNA-mRNA ceRNA regulatory network involved in breast cancer.

Hongming Song · Mingkai Gong · Wenfeng Li · Chen Liu · Haiyan Hu · Zhongliang Ma · Xiangping Liu · Yuanxiang Wang · Bing Du · Haibo Wang

Clinics (Sao Paulo, Brazil) · 2025 doi:10.1016/j.clinsp.2025.100826

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:41319483
kind
science-record
content_hash
sha256:ecd395bcf6ba252a90789ded29a384bc66f5457c9b982d516b693530e6b2f841
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:20Z
updated_at
2026-11-01T22:15:05Z
generator object · 2 fields
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corpus-assay-engine
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reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Integrated analysis of metastasis-related circRNA-miRNA-mRNA ceRNA regulatory network involved in breast cancer.
doi
10.1016/j.clinsp.2025.100826
pmid
41319483
authors array · 10 items
[0]
Hongming Song
[1]
Mingkai Gong
[2]
Wenfeng Li
[3]
Chen Liu
[4]
Haiyan Hu
[5]
Zhongliang Ma
[6]
Xiangping Liu
[7]
Yuanxiang Wang
[8]
Bing Du
[9]
Haibo Wang
journal
Clinics (Sao Paulo, Brazil)
year
2025
abstract
STUDY GUIDELINES: This study followed the STROBE Statement. BACKGROUND: Breast cancer persists as a major cause of cancer-related mortality among women. METHODS: The expression data of circRNA (GSE101123, GSE111504, GSE182471, GSE165884), miRNA (GSE154255), and mRNA (GSE52194) in breast cancer were downloaded from the GEO databases. The sponge miRNA and mRNA corresponding to the DEcircRNA were predicted through CircInteractome, circBank databases, and StarBase. The enrichment and annotation of all the miRNAs were analyzed through the miEAA database. The circRNA-related ceRNA network of breast cancer was constructed by the STRING database and Cytoscape software. DAVID database was used to analyze the GO and KEGG enrichment of DEmRNAs. RT-qPCR, StarBase database, and GEPIA database were utilized to validate the expression of hsa_circ_0089131, miR-378a-3p, and TP53 in breast cancer. RESULTS: The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131. After the enrichment and annotation of all the DEcircRNA-related miRNAs overlapped with GSE154255, a total of 60 breast cancer-associated miRNAs were obtained. Finally, the ceRNA network with 2 circRNAs, 44 miRNAs, and 122 mRNAs was constructed and visualized. The breast cancer-related mRNAs are enriched in various pathways, especially AKT/PI3K and MAPK signaling pathways. The expression of hsa_circ_0089131 (upregulated), miR-378a-3p (downregulated), and TP53 (upregulated) was validated in breast cancer tissues and showed a correlation. CONCLUSION: The ceRNA regulatory network related to the metastasis and prognosis of breast cancer was constructed, which included hsa_circ_0089131, miR-378a-3p, and TP53. This study provides a bioinformatics basis for elucidating the molecular mechanism of metastasis and the prognosis of breast cancer.
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The interactive web tool GEO2R, based on R packages was utilized to identify DEcircRNAs, DEmiRNAs, and DEmRNAs in breast cancer.
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methodological
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sections[3] "Identification of metastasis breast cancer-related microarray profiles" paragraph 4
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The interactive web tool GEO2R, based on R packages was utilized to identify DEcircRNAs, DEmiRNAs, and DEmRNAs in breast cancer.
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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sections[23] "(untitled)" paragraph 1
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131.
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qualitative
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null
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sections[0] "Abstract" paragraph 8
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The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131.
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The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131.
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circRNA expression in breast cancer and non-tumor breast tissues
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Identification of circRNA Expression Signatures for breast cancer metastasis
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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miRNA expression analysis of breast cancer tissue and matched nomal tissue
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Homo sapiens
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Hsa_circ_0001583 a novel biomarker for breast cancer related to immune response
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2026-11-01T20:16:08Z
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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21825
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Homo sapiens
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circRNA expression in breast cancer and adjacent non-tumor breast tissues
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2026-11-01T20:16:08Z
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identifier_resolution_only_no_download_no_licence_read
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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mRNA-sequencing of breast cancer subtypes and normal tissue
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2026-11-01T20:16:08Z
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The interactive web tool GEO2R, based on R packages was utilized to identify DEcircRNAs, DEmiRNAs, and DEmRNAs in breast cancer.
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asset:data:geo:GSE154255 licence not read
[5]
asset:data:geo:GSE154255 not downloaded
[6]
asset:data:geo:GSE165884 licence not read
[7]
asset:data:geo:GSE165884 not downloaded
[8]
asset:data:geo:GSE182471 licence not read
[9]
asset:data:geo:GSE182471 not downloaded
[10]
asset:data:geo:GSE52194 licence not read
[11]
asset:data:geo:GSE52194 not downloaded
[12]
execution.not_run
[13]
method.reader_named_unmapped
[14]
method.student_t
[15]
review.human_critique
[16]
review.independent_reader
[17]
review.machine_critique
[18]
step:run_analysis blocked on method:student_t
assays array · 2 items
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99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
alyze the GO and KEGG enrichment of DEmRNAs. RT-qPCR, StarBase database, and GEPIA database were
[1]
ze the GO and KEGG enrichment of DEmRNAs. RT-qPCR, StarBase database, and GEPIA database were
order_basis
paper_text_order:812
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assay:1
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f2132e96ae6c7a4e
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Student t-test
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41319483", "kind": "science-record", "revision": 3, "content_hash": "sha256:ecd395bcf6ba252a90789ded29a384bc66f5457c9b982d516b693530e6b2f841", "created_at": "2026-11-01T20:31:20Z", "updated_at": "2026-11-01T22:15:05Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated analysis of metastasis-related circRNA-miRNA-mRNA ceRNA regulatory network involved in breast cancer.", "doi": "10.1016/j.clinsp.2025.100826", "pmid": "41319483", "authors": ["Hongming Song", "Mingkai Gong", "Wenfeng Li", "Chen Liu", "Haiyan Hu", "Zhongliang Ma", "Xiangping Liu", "Yuanxiang Wang", "Bing Du", "Haibo Wang"], "journal": "Clinics (Sao Paulo, Brazil)", "year": 2025, "abstract": "STUDY GUIDELINES: This study followed the STROBE Statement.\nBACKGROUND: Breast cancer persists as a major cause of cancer-related mortality among women.\nMETHODS: The expression data of circRNA (GSE101123, GSE111504, GSE182471, GSE165884), miRNA (GSE154255), and mRNA (GSE52194) in breast cancer were downloaded from the GEO databases. The sponge miRNA and mRNA corresponding to the DEcircRNA were predicted through CircInteractome, circBank databases, and StarBase. The enrichment and annotation of all the miRNAs were analyzed through the miEAA database. The circRNA-related ceRNA network of breast cancer was constructed by the STRING database and Cytoscape software. DAVID database was used to analyze the GO and KEGG enrichment of DEmRNAs. RT-qPCR, StarBase database, and GEPIA database were utilized to validate the expression of hsa_circ_0089131, miR-378a-3p, and TP53 in breast cancer.\nRESULTS: The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131. After the enrichment and annotation of all the DEcircRNA-related miRNAs overlapped with GSE154255, a total of 60 breast cancer-associated miRNAs were obtained. Finally, the ceRNA network with 2 circRNAs, 44 miRNAs, and 122 mRNAs was constructed and visualized. The breast cancer-related mRNAs are enriched in various pathways, especially AKT/PI3K and MAPK signaling pathways. The expression of hsa_circ_0089131 (upregulated), miR-378a-3p (downregulated), and TP53 (upregulated) was validated in breast cancer tissues and showed a correlation.\nCONCLUSION: The ceRNA regulatory network related to the metastasis and prognosis of breast cancer was constructed, which included hsa_circ_0089131, miR-378a-3p, and TP53. This study provides a bioinformatics basis for elucidating the molecular mechanism of metastasis and the prognosis of breast cancer.", "claims": [{"id": "claim-method", "statement": "The interactive web tool GEO2R, based on R packages was utilized to identify DEcircRNAs, DEmiRNAs, and DEmRNAs in breast cancer.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41319483", "locator": "sections[3] \"Identification of metastasis breast cancer-related microarray profiles\" paragraph 4", "quote": "The interactive web tool GEO2R, based on R packages was utilized to identify DEcircRNAs, DEmiRNAs, and DEmRNAs in breast cancer."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41319483", "locator": "sections[23] \"(untitled)\" paragraph 1", "quote": "Data Availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41319483", "locator": "sections[0] \"Abstract\" paragraph 8", "quote": "The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The four circRNA-associated GEO databases overlapped two metastasis-related DEcircRNAs, including hsa_circ_0001936 and hsa_circ_0089131.", "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:41319483"], "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:GSE101123"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:student_t", "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:GSE101123"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:student_t"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41319483", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": 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