Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33004058", "kind": "science-record", "revision": 7, "content_hash": "sha256:81ada3bfca314291322922a4351d5dd692802e0ad713d7d3e3f90fcd57dd30b2", "created_at": "2026-11-01T15:41:12Z", "updated_at": "2026-11-01T22:02:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer.", "doi": "10.1186/s13048-020-00722-8", "pmid": "33004058", "authors": ["Weijia Lu", "Yunyu Wu", "Can Xiong Lu", "Ting Zhu", "Zhong Lu Ren", "Zhiwu Yu"], "journal": "Journal of ovarian research", "year": 2020, "abstract": "OBJECTIVE: MicroRNAs (MiRNAs) is thought to play a critical role in the initiation and progress of ovarian cancer (OC). Although miRNAs has been widely recognized in ovarian cancer, the role of hsa-miR-30a-5p (miR-30a) in OC has not been fully elucidated.\nMETHODS: Three mRNA datasets of normal ovarian tissue and OC, GSE18520,GSE14407 and GSE36668, were downloaded from Gene Expression Omnibus (GEO) to find the differentially expressed gene (DEG). Then the target genes of hsa-miR-30a-5p were predicted by miRWALK3.0 and TargetScan. Then, the gene overlap between DEG and the predicted target genes of miR-30a in OC was analyzed by Gene Ontology (GO) enrichment analysis. Protein-protein interaction (PPI) network was conducted by STRING and Cytoscape, and the effect of HUB gene on the outcome of OC was analyzed.\nRESULTS: A common pattern of up-regulation of miR-30a in OC was found. A total of 225 DEG, were identified, both OC-related and miR-30a-related. Many DEG are enriched in the interactions of intracellular matrix tissue, ion binding and biological process regulation. Among the 10 major Hub genes analyzed by PPI, five Hub genes were significantly related to the overall poor survival of OC patients, in which the low expression of ESR1,MAPK10, Tp53 and the high expression of YKT,NSF were related to poor prognosis of OC.\nCONCLUSION: Our results indicate that miR-30a is of significance for the biological progress of OC.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier was used to analyze the overall survival of patients with OC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33004058", "locator": "sections[7] \"Survival analysis\" paragraph 2", "quote": "Kaplan-Meier was used to analyze the overall survival of patients with OC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33004058", "locator": "sections[20] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33004058"], "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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"row_count": 6, "column_count": 9}, "table": {"label": "Table 2", "caption": "Basic characteristics of search literatures related to miR-30a in ovarian cancer", "rows": [["Author", "Year", "Country", "Case", "Control", "Result", "Detection methods"], ["Source name", "n", "Source name", "n"], ["Wang Y", "2013", "China", "low-grade OPSC", "16", "high-grade OPSC", "53", "up-regulation", "qRT-PCR"], ["Zhou J", "2015", "China", "Ovarian cancer urine", "39", "Urine of HP", "30", "up-regulation", "qRT-PCR"], ["Wang Y", "2018", "China", "HGSOC", "11", "NFT", "10", "up-regulation", "qRT-PCR"], ["Závesky", "2018", "Czech Republic", "OCPF", "26", "Blood of HP", "34", "up-regulation", "qRT-PCR"]], "row_count": 6, "column_count": 9, "numeric_cells": 12, "header_rows": 2, "locator": "section[11]/table-wrap[1]#Tab2"}}, {"id": "asset:table:pmid:33004058:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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