RNA-Binding Proteins Play an Important Role in the Prognosis of Patients With Testicular Germ Cell Tumor.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33777092", "kind": "science-record", "revision": 8, "content_hash": "sha256:8e710e016e5402e703f84880278041d4aa903dcf8715802c3e835b7fd582ed65", "created_at": "2026-11-01T15:41:30Z", "updated_at": "2026-11-01T22:03:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "RNA-Binding Proteins Play an Important Role in the Prognosis of Patients With Testicular Germ Cell Tumor.", "doi": "10.3389/fgene.2021.610291", "pmid": "33777092", "authors": ["Liangyu Yao", "Rong Cong", "Chengjian Ji", "Xiang Zhou", "Jiaochen Luan", "Xianghu Meng", "Ninghong Song"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Testicular germ cell tumors (TGCTs) are common urological neoplasms in young adult males. The outcome of TGCT depends on pathologic type and tumor stage. RNA-binding proteins (RBPs) influence numerous cancers via post-transcriptional regulation. The prognostic importance of RBPs in TGCT has not been fully investigated. In this study, we set up a prognostic risk model of TGCT using six significantly differentially expressed RBPs, namely, TRMT61A, POLR2J, DIS3L2, IFIH1, IGHMBP2, and NPM2. The expression profiles were downloaded from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression datasets. We observed by performing least absolute shrinkage and selection operator (LASSO) regression analyses that in the training cohort, the expression of six RBPs was correlated with disease-free survival in patients with TGCT. We assessed the specificity and sensitivity of 1-, 3-, 5-, and 10-year survival status prediction using receiver operating characteristic curve analysis and successfully validated using the test cohorts, the entire TCGA cohort, and Gene Expression Omnibus (GEO) datasets. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analyses were carried out to seek the possible signaling pathways related with risk score. We also examined the association between the model based on six RBPs and different clinical characteristics. A nomogram was established for TGCT recurrence prediction. Consensus clustering analysis was carried out to identify the clusters of TGCT with different clinical outcomes. Ultimately, external validations of the six-gene risk score were performed by using the GSE3218 and GSE10783 datasets downloaded from the GEO database. In general, our study constructed a prognostic model based on six RBPs, which could serve as independent risk factor in TGCT, especially in seminoma, and might have brilliant clinical application value.", "claims": [{"id": "claim-data-access", "statement": "We downloaded “TCGA-TGCT.survival.tsv.gz” and “TCGA-TGCT.htseq_fpkm.tsv.gz” from TCGA datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33777092", "locator": "sections[3] \"Patient Selection and Data Collection\" paragraph 2", "quote": "We downloaded “TCGA-TGCT.survival.tsv.gz” and “TCGA-TGCT.htseq_fpkm.tsv.gz” from TCGA datasets."}], "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:33777092"], "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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