Early 2 factor (E2F) transcription factors contribute to malignant progression and have clinical prognostic value in lower-grade glioma.

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However, the biological functions of E2F transcription factors (E2Fs) and their potential involvement in the malignancy of lower-grade glioma (LGG) remain unclear. We explored the effects of the expression of eight E2F family members on the clinical characteristics of LGG based on the Chinese Glioma Genome Atlas (CGGA), The Cancer Genome Atlas (TCGA), and GSE16011 datasets. Two LGG subgroups were identified according to the consensus clustering of the eight E2Fs. We employed the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm for further functional experiments and the development of a potential risk score. Two categories of patients with LGG were identified based on the median risk scores. We then developed a nomogram based on the results of the multivariate analysis. Real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry were performed to validate the bioinformatics results. Our results indicated that E2F family members were significantly involved in the malignancy of LGG and might serve as effective prognostic biomarkers of the disease.", "claims": [{"id": "claim-data-access", "statement": "Data for this work were obtained from the CGGA (http://www.cgga.org.cn/), TCGA (https://portal.gdc.cancer.gov/), GSE16011 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011), ONCOMINE (https://www.oncomine.org/), and Human Protein Atlas datasets (https://www.proteinatlas.org/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34617871", "locator": "sections[21] \"Data availability statement\" paragraph 2", "quote": "Data for this work were obtained from the CGGA (http://www.cgga.org.cn/), TCGA (https://portal.gdc.cancer.gov/), GSE16011 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16011), ONCOMINE (https://www.oncomine.org/), and Human Protein Atlas datasets (https://www.proteinatlas.org/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Our results indicated that E2F family members were significantly involved in the malignancy of LGG and might serve as effective prognostic biomarkers of the disease.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34617871", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Our results indicated that E2F family members were significantly involved in the malignancy of LGG and might serve as effective prognostic biomarkers of the disease."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Our results indicated that E2F family members were significantly involved in the malignancy of LGG and might serve as effective prognostic biomarkers of the disease.", "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:34617871"], "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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