A DNA Replication Stress-Based Prognostic Model for Lung Adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37908773", "kind": "science-record", "revision": 3, "content_hash": "sha256:abb5cfbf149020f96ed63461a9c82f585d40c27aeea65f4e60a8e6de3a9dd893", "created_at": "2026-11-01T19:02:47Z", "updated_at": "2026-11-01T22:10:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A DNA Replication Stress-Based Prognostic Model for Lung Adenocarcinoma.", "doi": "10.32607/actanaturae.25112", "pmid": "37908773", "authors": ["S Shi", "G Wen", "C Lei", "J Chang", "X Yin", "X Liu", "S Huang"], "journal": "Acta naturae", "year": 2023, "abstract": "Tumor cells endure continuous DNA replication stress, which opens the way to cancer development. Despite previous research, the prognostic implications of DNA replication stress on lung adenocarcinoma (LUAD) have yet to be investigated. Here, we aimed to investigate the potential of DNA replication stress-related genes (DNARSs) in predicting the prognosis of individuals with LUAD. Differentially expressed genes (DEGs) originated from the TCGA-LUAD dataset, and we constructed a 10-gene LUAD prognostic model based on DNARSs-related DEGs (DRSDs) using Cox regression analysis. The receiver operating characteristic (ROC) curve demonstrated excellent predictive capability for the LUAD prognostic model, while the Kaplan-Meier survival curve indicated a poorer prognosis in a high-risk (HR) group. Combined with clinical data, the Riskscore was found to be an independent predictor of LUAD prognosis. By incorporating Riskscore and clinical data, we developed a nomogram that demonstrated a capacity to predict overall survival and exhibited clinical utility, which was validated through the calibration curve, ROC curve, and decision curve analysis curve tests, confirming its effectiveness in prognostic evaluation. Immune analysis revealed that individuals belonging to the low-risk (LR) group exhibited a greater abundance of immune cell infiltration and higher levels of immune function. We calculated the immunopheno score and TIDE scores and tested them on the IMvigor210 and GSE78220 cohorts and found that individuals categorized in the LR group exhibited a higher likelihood of deriving therapeutic benefits from immunotherapy intervention. Additionally, we predicted that patients classified in the HR group would demonstrate enhanced sensitivity to Docetaxel using anti-tumor drugs. To summarize, we successfully developed and validated a prognostic model for LUAD by incorporating DNA replication stress as a key factor.", "claims": [{"id": "claim-method", "statement": "Cox regression analysis", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37908773", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Cox regression analysis"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The TCGA-LUAD dataset (539 cancer tissue samples and 59 normal tissue samples) was utilized as the training set, while the GSE26939 dataset (116 LUAD cancer tissue samples, platform number GPL9053) was used as the validation set.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37908773", "locator": "sections[2] \"MATERIALS AND METHODS\" paragraph 3", "quote": "The TCGA-LUAD dataset (539 cancer tissue samples and 59 normal tissue samples) was utilized as the training set, while the GSE26939 dataset (116 LUAD cancer tissue samples, platform number GPL9053) was used as the validation set."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study developed a 10-gene LUAD prognostic model based on DNA replication stress-related differentially expressed genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37908773", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Differentially expressed genes (DEGs) originated from the TCGA-LUAD dataset, and we constructed a 10-gene LUAD prognostic model based on DNARSs-related DEGs (DRSDs) using Cox regression analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study developed a 10-gene LUAD prognostic model based on DNA replication stress-related differentially expressed genes.", "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:37908773"], "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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