Pancreatic adenocarcinoma associated immune-gene signature as a novo risk factor for clinical prognosis prediction in hepatocellular carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35831362", "kind": "science-record", "revision": 4, "content_hash": "sha256:67bd06647f3db0ac9bc7f875c82d01b5a0f074147a1b700b036ea3c0902ffbcd", "created_at": "2026-11-01T18:14:53Z", "updated_at": "2026-11-01T22:07:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Pancreatic adenocarcinoma associated immune-gene signature as a novo risk factor for clinical prognosis prediction in hepatocellular carcinoma.", "doi": "10.1038/s41598-022-16155-w", "pmid": "35831362", "authors": ["Lei Dai", "Joseph Mugaanyi", "Xingchen Cai", "Caide Lu", "Changjiang Lu"], "journal": "Scientific reports", "year": 2022, "abstract": "Pancreatic adenocarcinoma (PAAD) has high mortality and a very poor prognosis. Both surgery and chemotherapy have a suboptimal therapeutic effect, and this caused a need to find new approaches such as immunotherapy. Therefore, it is essential to develop a new model to predict patient prognosis and facilitate early intervention. Our study screened out and validated the target molecules based on the TCGA-PAAD dataset. We established the risk signature using univariate and multivariate Cox regression analysis and used GSE62452 and GSE28735 to verify the accuracy and reliability of the model. Expanded application of PAAD-immune-related genes signature (-IRGS) on other datasets was conducted, and the corresponding nomograms were constructed. We also analyzed the correlation between immune-related cells/genes and potential treatments. Our research demonstrated that a high riskscore of PAAD-IRGS in patients with PAAD was correlated with poor overall survival, disease-specific survival and progression free interval. The same results were observed in patients with LIHC. The models constructed were confirmed to be accurate and reliable. We found various correlations between PAAD-IRGS and immune-related cells/genes, and the potential therapeutic agents. These findings indicate that PAAD-IRGS may be a promising indicator for prognosis and of the tumor-immune microenvironment status in PAAD.", "claims": [{"id": "claim-method", "statement": "Based on the gene analysis above, we obtained independent immune-related prognostic risk genes using the Least absolute shrinkage and selection operator (Lasso) regression analysis29, followed by univariate and multivariate Cox regression analysis for further identification.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35831362", "locator": "sections[6] \"Construction of PAAD-related IRGs signature (PAAD-IRGS) for prognosis\" paragraph 2", "quote": "Based on the gene analysis above, we obtained independent immune-related prognostic risk genes using the Least absolute shrinkage and selection operator (Lasso) regression analysis29, followed by univariate and multivariate Cox regression analysis for further identification."}], "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 author/s. All data and original files in our work are freely available under a ‘Creative Commons BY 4.0’ license. All methods were carried out in accordance with relevant guidelines and regulations.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35831362", "locator": "sections[27] \"Data availability\" 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 author/s. All data and original files in our work are freely available under a ‘Creative Commons BY 4.0’ license. All methods were carried out in accordance with relevant guidelines and regulations."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "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:35831362"], "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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