Expression and Prognostic Value of RAD51 in Adenocarcinoma at the Gastroesophageal Junction.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36415794", "kind": "science-record", "revision": 3, "content_hash": "sha256:d98fca7a8bbf3dd1a02e4eecfd1ef132c68816b7ecc20efb0df55f88fd7b9c6c", "created_at": "2026-11-01T19:00:52Z", "updated_at": "2026-11-01T22:08:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Expression and Prognostic Value of RAD51 in Adenocarcinoma at the Gastroesophageal Junction.", "doi": "10.18502/ijph.v51i10.10981", "pmid": "36415794", "authors": ["Darebai Redati", "Xinhui Yang", "Cheng Lei", "Lin Liu", "Lei Ge", "Haijiang Wang"], "journal": "Iranian journal of public health", "year": 2022, "abstract": "Background: The RAD51 recombinase is involved in homologous recombination and DNA repair. However, the association of RAD51 with the prognosis of adenocarcinoma at the gastroesophageal junction (ACGEJ) is not clear. We aimed to investigate the association of RAD51 with ACGEJ prognosis.\nMethods: The difference in the expression level of RAD51 between ACGEJ tumors and control tissues in the microarray datasets (GSE159721, GSE74553, and GSE96669) were compared. The online Kaplan-Meier plotter survival analysis and meta-analysis were used to analyze the association of RAD51 with overall survival in pan-cancers. MiRNAs targeting RAD51 were identified and their expression profiles in ACGEJ tumors were analyzed. Functional enrichment analysis was performed for miRNAs of RAD51.\nResults: RAD51 was upregulated in ACGEJ tumors compared with control tissues (P < 0.05). High RAD51 level was correlated with a poor prognosis in stomach adenocarcinoma and esophageal cancer. The meta-analysis showed that high RAD51 level was correlated with a poor prognosis in TCGA pan-cancers (P = 0.03). Six regulatory miRNAs of RAD51, including hsa-miR-182, hsa-miR-221, and hsa-miR-34a, were downregulated in ACGEJ tumor tissues and were associated with pathways including \"fatty acid biosynthesis\" and \"viral carcinogenesis\".\nConclusion: RAD51 is a potent prognostic biomarker in ACGEJ. MiRNAs including hsa-miR-182, hsa-miR-221, and hsa-miR-34a might play crucial roles in ACGEJ by regulating the RAD51 gene.", "claims": [{"id": "claim-method", "statement": "The differences in the expression levels of the RAD51 gene and related miRNAs between groups were compared using the non-parametric Mann-Whitney U test. 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A meta-analysis was performed to evaluate the probability of the RAD51 gene for predicting the prognosis of cancers."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE159721 dataset (GPL20795, HiSeq X Ten [Homo sapiens]) included 123 ACGEJ tumor samples and 123 paired adjacent non-tumor tissue samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36415794", "locator": "sections[3] \"Microarray datasets\" paragraph 2", "quote": "The GSE159721 dataset (GPL20795, HiSeq X Ten [Homo sapiens]) included 123 ACGEJ tumor samples and 123 paired adjacent non-tumor tissue samples."}], "state": "complete"}, {"id": "claim-target-result", "statement": "RAD51 was upregulated in ACGEJ tumors compared with control tissues (P < 0.05).", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "RAD51 was upregulated in ACGEJ tumors compared with control tissues (P < 0.05)."}, "evidence": [{"asset": "source:pmid:36415794", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "RAD51 was upregulated in ACGEJ tumors compared with control tissues (P < 0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "RAD51 was upregulated in ACGEJ tumors compared with control tissues (P < 0.05).", "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:36415794"], "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:GSE159721"], "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:group_comparison_mann_whitney", "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:GSE159721"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_mann_whitney"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36415794", "role": "manuscript", "format": "xml", "media_type": "application/xml", 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