Screening and Studying of Blood miRNAs as Potential Diagnostic Markers for Papillary Thyroid Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39678015", "kind": "science-record", "revision": 3, "content_hash": "sha256:df91734ddafacca9ad1f6cc319bb72ef70a5856520acdfeec73dc2ad8ddc9910", "created_at": "2026-11-01T20:29:58Z", "updated_at": "2026-11-01T22:13:20Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening and Studying of Blood miRNAs as Potential Diagnostic Markers for Papillary Thyroid Carcinoma.", "doi": "10.2147/OTT.S489559", "pmid": "39678015", "authors": ["Xize Li", "Wen Qin", "Wenting Wang", "Weilin Liu", "Tianyi Dong", "Aixiang Liu", "Haojie Cai", "Zhouhan Xu", "Jiping Zeng"], "journal": "OncoTargets and therapy", "year": 2024, "abstract": "Objective: MiRNAs play a pivotal role in tumorigenesis and development by exerting negative regulation on the expression of target genes. In this study, bioinformatics techniques and online database were employed to investigate the specific miRNA-target gene regulatory network in PTC, which was subsequently validated using human blood samples and compared to existing tumor markers.\nMethods: The miRNA (GSE50901) and Gene Expression (GSE113629) chip screening data of human PTC tissues were retrieved from GEO database. A comparative analysis was conducted using the GEO2R to identify differentially expressed miRNAs and target genes of the patients with PTC. Prediction of the miRNA-target gene regulatory network, related signal transduction pathways, biological effects and their relationship to prognosis was performed based on GO, KEGG, qRT-PCR detection of human blood samples, analysis of correlation on the existing pathological tumor markers, and ROC.\nResults: Compared to the corresponding normal thyroid tissues, a total of 2116 miRNAs were found to be differentially expressed in PTC patients, including 1968 up-regulated and 148 down-regulated genes. The abnormally expressed genes primarily participated in signal pathways associated with tumorigenesis and abnormal gene transcription. By utilizing data from the GEO database, five miRNAs closely linked to PTC prognosis were identified, which were miR-221-3p, miR-222-3p, miR-182-5p, miR-135a-5p, and miR-34a-5p, with elucidating the target genes. Experimental validation, correlation analysis with tumor markers along with bioinformatics analysis revealed a significant increase in expression levels of miR-182-5p in PTC patients which positively correlated with poor prognosis. These molecules could play crucial roles in both initiation and progression of PTC.\nConclusion: This study identified potential novel blood-based miRNA biomarkers for PTC through bioinformatics analysis combined with the detection of human blood samples, thereby offering new possibilities for significant biomarkers associated with diagnosis and prognosis of PTC.", "claims": [{"id": "claim-method", "statement": "Using the online analysis software GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/),12 the differentially expressed miRNAs and genes in human PTC were screened with normal human thyroid tissues as control.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39678015", "locator": "sections[4] \"Screening and Identification of Differentially Expressed miRNAs and Genes\" paragraph 2", "quote": "Using the online analysis software GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/),12 the differentially expressed miRNAs and genes in human PTC were screened with normal human thyroid tissues as control."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets GSE113629 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GSE50901 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GPL24741 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GPL13607 for this study can be found in the GEO Accession viewer (nih.gov).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39678015", "locator": "sections[18] \"Data Sharing Statement\" paragraph 2", "quote": "The datasets GSE113629 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GSE50901 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GPL24741 for this study can be found in the GEO Accession viewer (nih.gov), The datasets GPL13607 for this study can be found in the GEO Accession viewer (nih.gov)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "This study identified potential novel blood-based miRNA biomarkers for PTC through bioinformatics analysis combined with the detection of human blood samples, thereby offering new possibilities for significant biomarkers associated with diagnosis and prognosis of PTC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39678015", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Compared to the corresponding normal thyroid tissues, a total of 2116 miRNAs were found to be differentially expressed in PTC patients, including 1968 up-regulated and 148 down-regulated genes."}, {"asset": "source:pmid:39678015", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Experimental validation, correlation analysis with tumor markers along with bioinformatics analysis revealed a significant increase in expression levels of miR-182-5p in PTC patients which positively correlated with poor prognosis."}, {"asset": "source:pmid:39678015", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "This study identified potential novel blood-based miRNA biomarkers for PTC through bioinformatics analysis combined with the detection of human blood samples, thereby offering new possibilities for significant biomarkers associated with diagnosis and prognosis of PTC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "This study identified potential novel blood-based miRNA biomarkers for PTC through bioinformatics analysis combined with the detection of human blood samples, thereby offering new possibilities for significant biomarkers associated with diagnosis and prognosis of PTC.", "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:39678015"], "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. 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