Identification of a Ubiquitin Related Genes Signature for Predicting Prognosis of Prostate Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35111198", "kind": "science-record", "revision": 4, "content_hash": "sha256:4312912edeafc476cf126e3e27f97247bd4fa07f11d1e4eb3c209e09b20db5ff", "created_at": "2026-11-01T17:36:50Z", "updated_at": "2026-11-01T22:05:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of a Ubiquitin Related Genes Signature for Predicting Prognosis of Prostate Cancer.", "doi": "10.3389/fgene.2021.778503", "pmid": "35111198", "authors": ["Guoda Song", "Yucong Zhang", "Hao Li", "Zhuo Liu", "Wen Song", "Rui Li", "Chao Wei", "Tao Wang", "Jihong Liu", "Xiaming Liu"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Background: Ubiquitin and ubiquitin-like (UB/UBL) conjugations are one of the most important post-translational modifications and involve in the occurrence of cancers. However, the biological function and clinical significance of ubiquitin related genes (URGs) in prostate cancer (PCa) are still unclear. Methods: The transcriptome data and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA), which was served as training cohort. The GSE21034 dataset was used to validate. The two datasets were removed batch effects and normalized using the \"sva\" R package. Univariate Cox, LASSO Cox, and multivariate Cox regression were performed to identify a URGs prognostic signature. Then Kaplan-Meier curve and receiver operating characteristic (ROC) curve analyses were used to evaluate the performance of the URGs signature. Thereafter, a nomogram was constructed and evaluated. Results: A six-URGs signature was established to predict biochemical recurrence (BCR) of PCa, which included ARIH2, FBXO6, GNB4, HECW2, LZTR1 and RNF185. Kaplan-Meier curve and ROC curve analyses revealed good performance of the prognostic signature in both training cohort and validation cohort. Univariate and multivariate Cox analyses showed the signature was an independent prognostic factor for BCR of PCa in training cohort. Then a nomogram based on the URGs signature and clinicopathological factors was established and showed an accurate prediction for prognosis in PCa. Conclusion: Our study established a URGs prognostic signature and constructed a nomogram to predict the BCR of PCa. This study could help with individualized treatment and identify PCa patients with high BCR risks.", "claims": [{"id": "claim-method", "statement": "Univariate Cox, LASSO Cox, and multivariate Cox regression were performed to identify a URGs prognostic signature.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35111198", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Univariate Cox, LASSO Cox, and multivariate Cox regression were performed to identify a URGs prognostic signature."}], "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:35111198", "locator": "sections[13] \"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": "A six-URGs signature was established to predict biochemical recurrence (BCR) of PCa, which included ARIH2, FBXO6, GNB4, HECW2, LZTR1 and RNF185.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35111198", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A six-URGs signature was established to predict biochemical recurrence (BCR) of PCa, which included ARIH2, FBXO6, GNB4, HECW2, LZTR1 and RNF185."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A six-URGs signature was established to predict biochemical recurrence (BCR) of PCa, which included ARIH2, FBXO6, GNB4, HECW2, LZTR1 and RNF185.", "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:35111198"], "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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