A novel investigation into an E2F transcription factor-related prognostic model with seven signatures for colon cancer patients.

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It is meaningful to establish an efficient prognostic model of colon cancer targeting cellular E2F-associated genes. This has not been reported previously. The authors first aimed to explore the links of E2F genes with the clinical outcomes of colon cancer patients by integrating data from the TCGA-COAD (n = 521), GSE17536 (n = 177) and GSE39582 (n = 585) cohorts. The Cox regression and Lasso modelling approach to identify a novel colon cancer prognostic model involving several hub genes (CDKN2A, GSPT1, PNN, POLD3, PPP1R8, PTTG1 and RFC1) were utilised. Moreover, an E2F-related nomogram that efficiently predicted the survival rates of colon cancer patients was created. Additionally, the authors first identified two E2F tumour clusters, which showed distinct prognostic features. Interestingly, the potential links of E2F-based classification and 'protein secretion' issues of multiorgans and tumour infiltration of 'T-cell regulatory (Tregs)' and 'CD56dim natural killer cell' were detected. The authors' findings are of potential clinical significance for the prognosis assessment and mechanistic exploration of colon cancer.", "claims": [{"id": "claim-method", "statement": "Next, according to E2F expression and the OS survival status of 1229 colon cancer cases, we established the E2F prognostic model using Cox regression and Lasso modelling analyses.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37431829", "locator": "sections[5] \"Lasso model\" paragraph 2", "quote": "Next, according to E2F expression and the OS survival status of 1229 colon cancer cases, we established the E2F prognostic model using Cox regression and Lasso modelling analyses."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data and materials can be obtained by contacting the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37431829", "locator": "sections[25] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "The data and materials can be obtained by contacting the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The Cox regression and Lasso modelling approach to identify a novel colon cancer prognostic model involving several hub genes (CDKN2A, GSPT1, PNN, POLD3, PPP1R8, PTTG1 and RFC1) were utilised.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37431829", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The Cox regression and Lasso modelling approach to identify a novel colon cancer prognostic model involving several hub genes (CDKN2A, GSPT1, PNN, POLD3, PPP1R8, PTTG1 and RFC1) were utilised."}, {"asset": "source:pmid:37431829", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The authors first aimed to explore the links of E2F genes with the clinical outcomes of colon cancer patients by integrating data from the TCGA‐COAD (n = 521), GSE17536 (n = 177) and GSE39582 (n = 585) cohorts."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The Cox regression and Lasso modelling approach to identify a novel colon cancer prognostic model involving several hub genes (CDKN2A, GSPT1, PNN, POLD3, PPP1R8, PTTG1 and RFC1) were utilised.", "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:37431829"], "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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