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pmid:37519886

LINC01137/miR-186-5p/WWOX: a novel axis identified from WWOX-related RNA interactome in bladder cancer.

Damian Kołat · Żaneta Kałuzińska-Kołat · Katarzyna Kośla · Magdalena Orzechowska · Elżbieta Płuciennik · Andrzej K Bednarek

Frontiers in genetics · 2023 doi:10.3389/fgene.2023.1214968

Paper

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Experiment

complete

Data

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title
LINC01137/miR-186-5p/WWOX: a novel axis identified from WWOX-related RNA interactome in bladder cancer.
doi
10.3389/fgene.2023.1214968
pmid
37519886
authors array · 6 items
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Damian Kołat
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Żaneta Kałuzińska-Kołat
[2]
Katarzyna Kośla
[3]
Magdalena Orzechowska
[4]
Elżbieta Płuciennik
[5]
Andrzej K Bednarek
journal
Frontiers in genetics
year
2023
abstract
Introduction: The discovery of non-coding RNA (ncRNA) dates back to the pre-genomics era, but the progress in this field is still dynamic and leverages current post-genomics solutions. WWOX is a global gene expression modulator that is scarcely investigated for its role in regulating cancer-related ncRNAs. In bladder cancer (BLCA), the link between WWOX and ncRNA remains unexplored. The description of AP-2α and AP-2γ transcription factors, known as WWOX-interacting proteins, is more commonplace regarding ncRNA but still merits investigation. Therefore, this in vitro and in silico study aimed to construct an ncRNA-containing network with WWOX/AP-2 and to investigate the most relevant observation in the context of BLCA cell lines and patients. Methods: RT-112, HT-1376, and CAL-29 cell lines were subjected to two stable lentiviral transductions. High-throughput sequencing of cellular variants (deposited in the Gene Expression Omnibus database under the GSE193659 record) enabled the investigation of WWOX/AP-2-dependent differences using various bioinformatics tools (e.g., limma-voom, FactoMineR, multiple Support Vector Machine Recursive Feature Elimination (mSVM-RFE), miRDB, Arena-Idb, ncFANs, RNAhybrid, TargetScan, Protein Annotation Through Evolutionary Relationships (PANTHER), Gene Transcription Regulation Database (GTRD), or Evaluate Cutpoints) and repositories such as The Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia. The most relevant observations from cap analysis gene expression sequencing (CAGE-seq) were confirmed using real-time PCR, whereas TCGA data were validated using the GSE31684 cohort. Results: The first stage of the whole study justified focusing solely on WWOX rather than on WWOX combined with AP-2α/γ. The most relevant observation of the developed ncRNA-containing network was LINC01137, i.e., long non-coding RNAs (lncRNAs) that unraveled the core network containing UPF1, ZC3H12A, LINC01137, WWOX, and miR-186-5p, the last three being a novel lncRNA/miRNA/mRNA axis. Patients' data confirmed the LINC01137/miR-186-5p/WWOX relationship and provided a set of dependent genes (i.e., KRT18, HES1, VCP, FTH1, IFITM3, RAB34, and CLU). Together with the core network, the gene set was subjected to survival analysis for both TCGA-BLCA and GSE31684 patients, which indicated that the increased expression of WWOX or LINC01137 is favorable, similar to their combination with each other (WWOX↑ and LINC01137↑) or with MIR186 (WWOX↑/LINC01137↑ but MIR186↓). Conclusion: WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p. This novel WWOX-containing lncRNA/miRNA/mRNA axis should be further investigated to depict its relationships in a broader context, which could contribute to BLCA research and treatment.
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Survival endpoints were evaluated on patients from GSE31684 and TCGA-BLCA using optimal cutoff values for the expression of a single gene [via our in-house Evaluate Cutpoints tool (Ogluszka et al., 2019)] or a few genes at once combined into the signature (via the which() function and further survival R package).
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sections[11] "2.9 Validation cohort, gene signatures, and survival analysis" paragraph 2
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Survival endpoints were evaluated on patients from GSE31684 and TCGA-BLCA using optimal cutoff values for the expression of a single gene [via our in-house Evaluate Cutpoints tool (Ogluszka et al., 2019)] or a few genes at once combined into the signature (via the which() function and further survival R package).
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WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p.
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Determination of the WWOX gene function in modulating cellular pathways activated by AP-2α and AP-2γ transcription factors in bladder cancer
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Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer  
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edia (CCLE) dataset that includes files from RNA sequencing of tumor in vitro models. Data on bladder ca
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gDB—M5902, M4627, and M10617—represented the apoptosis, proliferation, and inflammatory response, r
[1]
nificant annotation, i.e., the regulation of apoptosis; this is in line with a prominent role of WW
order_basis
paper_text_order:8655
id
assay:4
[4] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
limma-voom
order_basis
consumes_earlier_output
id
assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37519886", "kind": "science-record", "revision": 4, "content_hash": "sha256:6f2adaa105988b7b837523986e1b036c9f0afb9205c3879fd13a79afe16eb91f", "created_at": "2026-11-01T19:02:17Z", "updated_at": "2026-11-01T22:09:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "LINC01137/miR-186-5p/WWOX: a novel axis identified from WWOX-related RNA interactome in bladder cancer.", "doi": "10.3389/fgene.2023.1214968", "pmid": "37519886", "authors": ["Damian Kołat", "Żaneta Kałuzińska-Kołat", "Katarzyna Kośla", "Magdalena Orzechowska", "Elżbieta Płuciennik", "Andrzej K Bednarek"], "journal": "Frontiers in genetics", "year": 2023, "abstract": "Introduction: The discovery of non-coding RNA (ncRNA) dates back to the pre-genomics era, but the progress in this field is still dynamic and leverages current post-genomics solutions. WWOX is a global gene expression modulator that is scarcely investigated for its role in regulating cancer-related ncRNAs. In bladder cancer (BLCA), the link between WWOX and ncRNA remains unexplored. The description of AP-2α and AP-2γ transcription factors, known as WWOX-interacting proteins, is more commonplace regarding ncRNA but still merits investigation. Therefore, this in vitro and in silico study aimed to construct an ncRNA-containing network with WWOX/AP-2 and to investigate the most relevant observation in the context of BLCA cell lines and patients. Methods: RT-112, HT-1376, and CAL-29 cell lines were subjected to two stable lentiviral transductions. High-throughput sequencing of cellular variants (deposited in the Gene Expression Omnibus database under the GSE193659 record) enabled the investigation of WWOX/AP-2-dependent differences using various bioinformatics tools (e.g., limma-voom, FactoMineR, multiple Support Vector Machine Recursive Feature Elimination (mSVM-RFE), miRDB, Arena-Idb, ncFANs, RNAhybrid, TargetScan, Protein Annotation Through Evolutionary Relationships (PANTHER), Gene Transcription Regulation Database (GTRD), or Evaluate Cutpoints) and repositories such as The Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia. The most relevant observations from cap analysis gene expression sequencing (CAGE-seq) were confirmed using real-time PCR, whereas TCGA data were validated using the GSE31684 cohort. Results: The first stage of the whole study justified focusing solely on WWOX rather than on WWOX combined with AP-2α/γ. The most relevant observation of the developed ncRNA-containing network was LINC01137, i.e., long non-coding RNAs (lncRNAs) that unraveled the core network containing UPF1, ZC3H12A, LINC01137, WWOX, and miR-186-5p, the last three being a novel lncRNA/miRNA/mRNA axis. Patients' data confirmed the LINC01137/miR-186-5p/WWOX relationship and provided a set of dependent genes (i.e., KRT18, HES1, VCP, FTH1, IFITM3, RAB34, and CLU). Together with the core network, the gene set was subjected to survival analysis for both TCGA-BLCA and GSE31684 patients, which indicated that the increased expression of WWOX or LINC01137 is favorable, similar to their combination with each other (WWOX↑ and LINC01137↑) or with MIR186 (WWOX↑/LINC01137↑ but MIR186↓). Conclusion: WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p. This novel WWOX-containing lncRNA/miRNA/mRNA axis should be further investigated to depict its relationships in a broader context, which could contribute to BLCA research and treatment.", "claims": [{"id": "claim-method", "statement": "Survival endpoints were evaluated on patients from GSE31684 and TCGA-BLCA using optimal cutoff values for the expression of a single gene [via our in-house Evaluate Cutpoints tool (Ogluszka et al., 2019)] or a few genes at once combined into the signature (via the which() function and further survival R package).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37519886", "locator": "sections[11] \"2.9 Validation cohort, gene signatures, and survival analysis\" paragraph 2", "quote": "Survival endpoints were evaluated on patients from GSE31684 and TCGA-BLCA using optimal cutoff values for the expression of a single gene [via our in-house Evaluate Cutpoints tool (Ogluszka et al., 2019)] or a few genes at once combined into the signature (via the which() function and further survival R package)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/geo/; GSE193659.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37519886", "locator": "sections[22] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/geo/; GSE193659."}], "state": "complete"}, {"id": "claim-target-result", "statement": "WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37519886", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "WWOX is implicated in the positive feedback loop with LINC01137 that sponges WWOX-targeting miR-186-5p.", "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:37519886"], "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:GSE193659"], "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:GSE193659"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37519886", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2023.1214968", "sha256": "sha256:45ed7fb89e2a72babf43e6236d2c26ea05e54c15a7adceeab001393df2d1c2d1", "bytes": 50753, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2023.1214968", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10373930", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE193659", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193659", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE193659", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/geo/; GSE193659.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/geo/; GSE193659.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM5815728", "GSM5815729", "GSM5815730", "GSM5815731", "GSM5815732", "GSM5815733", "GSM5815734", "GSM5815735", "GSM5815736", "GSM5815737", "GSM5815738", "GSM5815739", "GSM5815740", "GSM5815741", "GSM5815742", "GSM5815743", "GSM5815744", "GSM5815745"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "18573", "taxon": "Homo sapiens", "title": "Determination of the WWOX gene function in modulating cellular pathways activated by AP-2α and AP-2γ transcription factors in bladder cancer", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE31684", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31684", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE31684", "version": null, "note": "The datasets presented in this study can be found in online repositories. 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