Molecular Insights and Prognosis Associated With RBM8A in Glioblastoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35573726", "kind": "science-record", "revision": 3, "content_hash": "sha256:5daffddafa73f090a05cb7da2e8e1446a28efdf882356798cd212672260aa45c", "created_at": "2026-11-01T18:14:28Z", "updated_at": "2026-11-01T21:27:52Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Molecular Insights and Prognosis Associated With RBM8A in Glioblastoma.", "doi": "10.3389/fmolb.2022.876603", "pmid": "35573726", "authors": ["Lei Wei", "Chun Zou", "Liechun Chen", "Yan Lin", "Lucong Liang", "Beiquan Hu", "Yingwei Mao", "Donghua Zou"], "journal": "Frontiers in molecular biosciences", "year": 2022, "abstract": "Background: Glioblastoma (GBM) is the most invasive brain tumors, and it is associated with high rates of recurrence and mortality. The purpose of this study was to investigate the expression of RBM8A in GBM and the potential influence of its expression on the disease. Methods: Levels of RBM8A mRNA in GBM patients and controls were examined in The Cancer Genome Atlas (TCGA), GSE16011 and GSE90604 databases. GBM samples in TCGA were divided into RBM8Ahigh and RBM8Alow groups. Differentially expressed genes (DEGs) between GBM patients and controls were identified, as were DEGs between RBM8Ahigh and RBM8Alow groups. DEGs common to both of these comparisons were analyzed for coexpression and regression analyses. In addition, we identified potential effects of RBM8A on competing endogenous RNAs, immune cell infiltration, methylation modifications, and somatic mutations. Results: RBM8A is expressed at significantly higher levels in GBM than control samples, and its level correlates with tumor purity. We identified a total of 488 mRNAs that differed between GBM and controls as well as between RBM8Ahigh and RBM8Alow groups, which enrichment analysis revealed to be associated mainly with neuroblast proliferation, and T cell immune responses. We identified 174 mRNAs that gave areas under the receiver operating characteristic curve >0.7 among coexpression module genes, of which 13 were significantly associated with overall survival of GBM patients. We integrated 11 candidate mRNAs through LASSO algorithm, then nomogram, risk score, and decision curve analyses were analyzed. We found that RBM8A may compete with DLEU1 for binding to miR-128-1-5p, and aberrant RBM8A expression was associations with tumor infiltration by immune cells. Some mRNAs associated with GBM prognosis also appear to be methylated or mutated. Conclusions: Our study strongly links RBM8A expression to GBM pathobiology and patient prognosis. The candidate mRNAs identified here may lead to therapeutic targets against the disease.", "claims": [{"id": "claim-method", "statement": "The “glmnet” package in R (Friedman et al., 2010) was used to integrate potentially prognostic mRNAs into a binomial least absolute shrinkage and selection operator regression (LASSO) model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35573726", "locator": "sections[9] \"Construction of a Model to Predict Overall Survival of GBM Patients\" paragraph 2", "quote": "The “glmnet” package in R (Friedman et al., 2010) was used to integrate potentially prognostic mRNAs into a binomial least absolute shrinkage and selection operator regression (LASSO) model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35573726", "locator": "sections[24] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study used LASSO to integrate 11 candidate mRNAs for prognostic nomogram, risk score, and decision curve analyses in GBM.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35573726", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We integrated 11 candidate mRNAs through LASSO algorithm, then nomogram, risk score, and decision curve analyses were analyzed."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study used LASSO to integrate 11 candidate mRNAs for prognostic nomogram, risk score, and decision curve analyses in GBM.", "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:35573726"], "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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