Development and Validation of a Gene Signature for Prediction of Relapse in Stage I Testicular Germ Cell Tumors.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32850325", "kind": "science-record", "revision": 8, "content_hash": "sha256:b239ad3655f3f75e6ec6185055035c05937a38201849fd58a24ac236932e98d2", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T22:45:15Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development and Validation of a Gene Signature for Prediction of Relapse in Stage I Testicular Germ Cell Tumors.", "doi": "10.3389/fonc.2020.01147", "pmid": "32850325", "authors": ["Jian-Guo Zhou", "Jie Yang", "Su-Han Jin", "Siyu Xiao", "Lei Shi", "Ting-You Zhang", "Hu Ma", "Udo S Gaipl"], "journal": "Frontiers in oncology", "year": 2020, "abstract": "Background: Testicular germ cell tumors (TGCTs) are commonly diagnosed tumors in young men. However, a satisfactory approach to predict relapse of stage I TGCTs is still lacking. Therefore, this study aimed to develop a robust risk score model for stage I TGCTs. Method: RNA-sequence data of stage I TGCTs and normal testis samples were downloaded and analyzed to identify different expression genes. Gene-based prognostic model was constructed in The Cancer Genome Atlas (TCGA) using least absolute shrinkage and selection operator (LASSO) regression analysis and validated in GSE99420 dataset. Potential biological functions of the genes in prognostic model were determined via Gene Set Enrichment Analysis (GSEA) between high-risk and low-risk patients. Results: A total of 9,391 differentially expressed genes and 84 prognosis-related genes were identified. An eight-gene-based risk score model was constructed to divide patients into high or low risk of relapse. The low-risk patients had a significantly better relapse-free survival (RFS) than high-risk patients in both training and validation cohorts (HR = 0.129, 95% CI = 0.059-0.284, P < 0.001; HR = 0.277, 95% CI = 0.116-0.661, P = 0.004, respectively). The area under the receiver operating characteristic curve (AUC) values at 5 years was 0.805 and 0.724 in the training and validation cohorts, respectively. Functional enrichment analyses showed that DNA replication, ribosome, cell cycle, and TGF-beta signaling pathway may contribute to the relapse process. Conclusion: In summary, our analysis provided a novel eight-gene signature that could predict RFS in stage I TGCT patients.", "claims": [{"id": "claim-method", "statement": "Identification of differentially expressed genes (DEGs) were using the Limma package in R (23).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32850325", "locator": "sections[4] \"Differentially Expressed Genes and Prognostic Gene Selection\" paragraph 2", "quote": "Identification of differentially expressed genes (DEGs) were using the Limma package in R (23)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated for this study can be found in the TCGA and GSE99420.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32850325", "locator": "sections[15] \"Data Availability Statement\" paragraph 2", "quote": "The datasets generated for this study can be found in the TCGA and GSE99420."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32850325"], "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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