Bioinformatic gene analysis for possible biomarkers and therapeutic targets of hypertension-related renal cell carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33457239", "kind": "science-record", "revision": 8, "content_hash": "sha256:cbd669f46a4e23b967ee5f348b15bbc91714ddd9b4abba434d259a714c77da2a", "created_at": "2026-11-01T15:41:23Z", "updated_at": "2026-11-01T22:02:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatic gene analysis for possible biomarkers and therapeutic targets of hypertension-related renal cell carcinoma.", "doi": "10.21037/tau-20-817", "pmid": "33457239", "authors": ["Wenjie Huang", "Ke Wu", "Ruoyu Wu", "Zhiguo Chen", "Wei Zhai", "Junhua Zheng"], "journal": "Translational andrology and urology", "year": 2020, "abstract": "BACKGROUND: Renal cell carcinoma (RCC) is one of the most prevalent malignant tumors of the urinary system. Hypertension can cause hypertensive nephropathy (HN). Meanwhile, Hypertension is considered to be related to kidney cancer. We analyzed co-expressed genes to find out the relationship between hypertension and RCC and show possible biomarkers and novel therapeutic targets of hypertension-related RCC.\nMETHODS: We identified the differentially expressed genes (DEGs) of HN and RCC through analyzing Gene Expression Omnibus (GEO) datasets GSE99339, GSE99325, GSE53757 and GSE15641 by means of bioinformatics analysis, respectively. Then we evaluated these genes with protein-protein interaction (PPI) networks, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and CTD database. Subsequently, we verified co-expressed DEGs with Gene Expression Profiling Interactive Analysis (GEPIA) database. Finally, corresponding predicted miRNAs of co-expressed DEGs were identified and verified via mirDIP database and Starbase, respectively.\nRESULTS: We identified 9 co-expressed DEGs, including BCAT1, CORO1A, CRIP1, ESRRG, FN1, LYZ, PYCARD, SAP30, and PTRF. CRIP1 and ESRRG and their corresponding predicted miRNAs, especially hsa-miR-221-5p, hsa-miR-205-5p, hsa-miR-152-3p and hsa-miR-137 may be notably related to hypertension-related RCC.\nCONCLUSIONS: CRIP1 and ESRRG genes have great potential to become novel biomarkers and therapeutic targets concerning hypertension-related RCC.", "claims": [{"id": "claim-method", "statement": "Student’s t-test was performed for comparisons between two groups, whereas ANOVA was performed for repeated measures.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33457239", "locator": "sections[10] \"Statistical analysis\" paragraph 2", "quote": "Student’s t-test was performed for comparisons between two groups, whereas ANOVA was performed for repeated measures."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The expression profiling arrays of GSE99339 were generated applying GPL19109 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array [CDF: Brainarray HGU133Plus2_Hs_ENTREZG_v18], including 15 Hypertensive Nephropathy specimens and 14 Tumor Nephrectomy specimens.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33457239", "locator": "sections[3] \"Gene expression profiles data\" paragraph 2", "quote": "The expression profiling arrays of GSE99339 were generated applying GPL19109 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array [CDF: Brainarray HGU133Plus2_Hs_ENTREZG_v18], including 15 Hypertensive Nephropathy specimens and 14 Tumor Nephrectomy specimens."}], "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:33457239"], "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:GSE15641"], "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:GSE15641"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33457239", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/tau-20-817", "sha256": 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[CDF: Brainarray HGU133Plus2_Hs_ENTREZG_v18], including 15 Hypertensive Nephropathy specimens and 14 Tumor Nephrectomy specimens.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The expression profiling arrays of GSE99339 were generated applying GPL19109 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array [CDF: Brainarray HGU133Plus2_Hs_ENTREZG_v18], including 15 Hypertensive Nephropathy specimens and 14 Tumor Nephrectomy specimens.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM391107", "GSM391108", "GSM391109", "GSM391110", "GSM391111", "GSM391112", "GSM391113", "GSM391114", "GSM391115", "GSM391116", "GSM391117", "GSM391118", "GSM391119", "GSM391120", "GSM391121", "GSM391122", "GSM391123", "GSM391124", "GSM391125", "GSM391126", "GSM391127", "GSM391128", "GSM391129", "GSM391130", "GSM391131", "GSM391132", "GSM391133", "GSM391134", "GSM391135", "GSM391136", "GSM391137", "GSM391138", 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