Constructing a Prognostic Model of Uterine Corpus Endometrial Carcinoma and Predicting Drug-Sensitivity Responses Using Programmed Cell Death-Related Pathways.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38706893", "kind": "science-record", "revision": 3, "content_hash": "sha256:2c77605f538d7e5dcd0238f992a84cc784b77d9b47aad33eb136468075e990fc", "created_at": "2026-11-01T19:20:40Z", "updated_at": "2026-11-01T22:11:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Constructing a Prognostic Model of Uterine Corpus Endometrial Carcinoma and Predicting Drug-Sensitivity Responses Using Programmed Cell Death-Related Pathways.", "doi": "10.7150/jca.92201", "pmid": "38706893", "authors": ["Jingwen Meng", "Chen Zong", "Meixia Wang", "Yu Chen", "Shaojie Zhao"], "journal": "Journal of Cancer", "year": 2024, "abstract": "Background: Uterine Corpus Endometrial Carcinoma (UCEC) is the most common type of cancer that develops in the uterus, specifically originating from the endometrium, the inner lining of the uterus. Programmed cell death (PCD) is a highly regulated process that eliminates damaged, aged, or unwanted cells in the body. Dysregulation of PCD pathways can contribute to the formation and progression of various cancers, including UCEC. Methods: Fourteen PCD pathways (autophagy-dependent cell death, alkaliptosis, apoptosis, cuproptosis, entotic cell death, ferroptosis, immunogenic cell death, lysosome-dependent cell death, MPT-driven necrosis, necroptosis, netotic cell death, oxeiptosis, parthanatos, and pyroptosis) were involved in building a prognostic signature. The model was trained and tested using data from the TCGA-UCEC and validated with the GSE119041 dataset. Results: A 12-gene PCD signature (DRAM1, ELAPOR1, MAPT, TRIM58, UCHL1, CDKN2A, CYFIP2, AKT2, LINC00618, TTPA, TRIM46, and NOS2) was established and validated in an independent dataset. UCEC patients with a high PCD score (PCDS) exhibited worse prognosis. Furthermore, PCDS was found to be associated with immune related cells and key tumor microenvironment components through multiple methods. It was observed that UCEC patients with a high PCD score may not benefit from immunotherapy, but some chemo drugs like Bortezomib may be useful. Conclusion: In conclusion, a novel PCD model was established by comprehensively analyzing diverse cell death patterns. This model accurately predicts the clinical prognosis and drug sensitivity of UCEC. The findings suggest that the PCD signature can serve as a valuable tool in assessing prognosis and guiding treatment decisions for UCEC patients.", "claims": [{"id": "claim-method", "statement": "A 12-gene signature was constructed by LASSO-Cox regression analysis (Fig. 3A and B).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38706893", "locator": "sections[12] \"Construction of a prognostic gene signature for UCEC patients\" paragraph 3", "quote": "A 12-gene signature was constructed by LASSO-Cox regression analysis (Fig. 3A and B)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "For public data, we collected information on 539 UCEC patients and 35 controls from TCGA-UCEC (downloaded from GDC Data Portal: https://portal.gdc.cancer.gov/), and 50 UCEC cases in GSE119041 10, which was generated on the GPL15048 platform in the Gene Expression Omnibus (GEO) database (Table 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38706893", "locator": "sections[3] \"Gene collection and datasets\" paragraph 3", "quote": "For public data, we collected information on 539 UCEC patients and 35 controls from TCGA-UCEC (downloaded from GDC Data Portal: https://portal.gdc.cancer.gov/), and 50 UCEC cases in GSE119041 10, which was generated on the GPL15048 platform in the Gene Expression Omnibus (GEO) database (Table 1)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A 12-gene programmed cell death prognostic signature was established and validated, with patients having a high PCDS exhibiting worse prognosis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38706893", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A 12-gene PCD signature (DRAM1, ELAPOR1, MAPT, TRIM58, UCHL1, CDKN2A, CYFIP2, AKT2, LINC00618, TTPA, TRIM46, and NOS2) was established and validated in an independent dataset. UCEC patients with a high PCD score (PCDS) exhibited worse prognosis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A 12-gene programmed cell death prognostic signature was established and validated, with patients having a high PCDS exhibiting worse prognosis.", "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:38706893"], "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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