m6A RNA methylation regulators 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:33718069", "kind": "science-record", "revision": 8, "content_hash": "sha256:8a10f3ac9b5be278661e6fe08015c28e9b025c5a407ef082b1b43284f90405c5", "created_at": "2026-11-01T15:41:28Z", "updated_at": "2026-11-01T22:03:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "m6A RNA methylation regulators play an important role in the prognosis of patients with testicular germ cell tumor.", "doi": "10.21037/tau-20-963", "pmid": "33718069", "authors": ["Rong Cong", "Chengjian Ji", "Jiayi Zhang", "Qijie Zhang", "Xiang Zhou", "Liangyu Yao", "Jiaochen Luan", "Xianghu Meng", "Ninghong Song"], "journal": "Translational andrology and urology", "year": 2021, "abstract": "BACKGROUND: N6-methyladenosine (m6A) is found to be associated with promoting tumorigenesis in different types of cancers, however, the function of m6A-related genes in testicular germ cell tumors (TGCT) development remains to be illuminated. This study aimed to investigated the prognostic value of m6A RNA methylation regulators in TGCT.\nMETHODS: We collected TGCT patients' information about clinicopathologic parameters and twenty-two m6A regulatory genes expression from The Cancer Genome Atlas (TCGA) database and Genotype-Tissue Expression (GTEx). We analyzed the differentially expressed m6A RNA methylation regulators between tumor tissues and normal tissues, as well as the correlation of m6A RNA methylation regulators. By using Cox univariate analysis, last absolute shrinkage and selection operator (LASSO) Cox regression algorithm and Cox multivariate proportional hazards regression analysis, a risk score was constructed based on a TCGA training cohort, and further verified in the TCGA testing cohort. Then, univariate and multivariate Cox regression analyses were used to evaluate the relationship between risk score and progression-free survival (PFS) in TGCT. Finally, the six-gene risk score was further verified by two gene expression profiles (GSE3218 and GSE10783) as an independent external validation cohort.\nRESULTS: Distinct expression patterns of m6A regulatory genes were identified between TGCT tissues and normal tissues in TCGA and GTEx datasets. To predict prognosis of TGCT patients, a risk score was calculated based on six selected m6A RNA methylation regulators (YTHDF1, RBM15, IGF2BP1, ZC3H13, METTL3, and FMR1). Additionally, we found significant differences between the high-risk and low-risk groups in serum marker study levels and histologic subtype. Univariate and multivariate analysis indicated that high risk score was associated with unfavorable PFS. Ultimately, the risk score was further verified by two gene expression profiles (GSE3218 and GSE10783).\nCONCLUSIONS: Based on six selected m6A RNA methylation regulators, we developed a m6A methylation related risk score that can independently predict the prognosis of TGCT patients, and verify the prediction efficiency in TCGA and GEO datasets. Patients in high-risk group were associated with serum tumor marker study levels beyond the normal limits, non-seminoma, and unfavorable survival time. However, further prospective experiments should be carried out to verify our results.", "claims": [{"id": "claim-method", "statement": "To investigate whether risk score was an independent prognostic factor, univariate and multivariate Cox regression analyses were used in the entire TCGA cohort.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33718069", "locator": "sections[7] \"Validation of the prognostic signature\" paragraph 3", "quote": "To investigate whether risk score was an independent prognostic factor, univariate and multivariate Cox regression analyses were used in the entire TCGA cohort."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All of these normalized clinical data and RNA-seq data of patients were obtained from TCGA (http://cancergenome.nih.gov/) and GTEx (Genotype-Tissue Expression).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33718069", "locator": "sections[3] \"Patient samples\" paragraph 2", "quote": "All of these normalized clinical data and RNA-seq data of patients were obtained from TCGA (http://cancergenome.nih.gov/) and GTEx (Genotype-Tissue Expression)."}], "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:33718069"], "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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(0.003068–1.41185)", "0.081952"], ["PRRC2A", "0.021448 (0.000226–2.037345)", "0.098195"], ["RBM15", "0.366743 (0.100793–1.334426)", "0.127967"], ["ALKBH5", "0.030539 (1.334426–3.21472)", "0.141982"], ["YTHDF2", "0.083202 (0.002673–2.590295)", "0.156363"], ["HNRNPA2B1", "0.01239 (0.000016–9.590852)", "0.195735"], ["METTL16", "0.268298 (0.028964–2.48528)", "0.246702"], ["IGF2BP3", "1.616413 (0.71076–3.676055)", "0.251994"], ["IGF2BP1", "2.155541 (0.477137–9.737995)", "0.318165"], ["IGF2BP2", "2.368073 (0.430614–13.02274)", "0.321583"], ["HNRNPC", "0.058167 (0.000207–16.31963)", "0.322646"], ["METTL3", "3.217734 (0.122173–84.74715)", "0.483761"], ["YTHDC2", "0.447566 (0.04586–4.367978)", "0.489175"], ["YTHDF3", "0.437247 (0.033203–5.75815)", "0.529372"], ["FTO", "0.537583 (0.069118–4.181175)", "0.55315"], ["WTAP", "0.220542 (0.001001–48.58904)", "0.582888"], ["RBM15B", "2.072659 (0.072891–58.9362)", "0.669586"], ["YTHDF1", "2.083396 (0.047455–91.46694)", "0.703659"], ["METTL14", "0.58829 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