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pmid:37859737
Identification and validation of a necroptosis-related gene prognostic signature for colon adenocarcinoma.
Jingyao Zhang · Ziyue Liu · Wenhao Chen · Hengchen Liu
Translational cancer research · 2023 doi:10.21037/tcr-23-494
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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We tried to analyze the relationship of necroptosis-related genes (NRGs) expression with colon adenocarcinoma (COAD) and propose potential therapeutic targets through immunological analysis.\nMethods: First, we evaluated the expression of NRGs in COAD patients and constructed a prognostic signature. The prognostic signature was validated using The Cancer Genome Atlas (TCGA)-COAD and GSE39582 datasets, respectively. And the Kaplan-Meier analysis, receiver operating characteristic (ROC) curves, and principal component analysis were used to evaluate the signature. Then we analyzed the enrichment of NRGs in the signature using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Finally, we analyzed the immunological characteristics of the COAD patients by single sample gene set enrichment analysis (ssGSEA) and predicted the possible immune checkpoints.\nResults: We constructed a prognostic signature with 8 NRGs (RIPK3, MLKL, TRAF2, CXCL1, RBCK1, CDKN2A, JMJD7-PLA2G4B and CAMK2B). The Kaplan-Meier analysis, ROC curves, and principal component analysis demonstrated good predictivity of the signature. In addition, we constructed a nomogram with good individualized predictive ability (C-index =0.772). The immunological analysis revealed that the prognosis of COAD was associated with autoimmune function, and we proposed 10 potential therapeutic targets.\nConclusions: Overall, we constructed an NRGs prognostic signature and suggested potential therapeutic targets for the COAD treatment.", "claims": [{"id": "claim-method", "statement": "The 11 prognosis-related DENRGs were then subjected to an OS-based Lasso-penalized Cox regression analysis (Figure 3A).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37859737", "locator": "sections[13] \"Construction of the NRG prognostic signature\" paragraph 2", "quote": "The 11 prognosis-related DENRGs were then subjected to an OS-based Lasso-penalized Cox regression analysis (Figure 3A)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Finally, we selected the relevant data of 38 normal and 417 COAD samples from the TCGA database (Table 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37859737", "locator": "sections[4] \"Data collection and processing\" paragraph 2", "quote": "Finally, we selected the relevant data of 38 normal and 417 COAD samples from the TCGA database (Table 1)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study constructed an 8-gene necroptosis-related prognostic signature for COAD and a prognostic nomogram with a C-index of 0.772.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37859737", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We constructed a prognostic signature with 8 NRGs (RIPK3, MLKL, TRAF2, CXCL1, RBCK1, CDKN2A, JMJD7-PLA2G4B and CAMK2B)."}, {"asset": "source:pmid:37859737", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "In addition, we constructed a nomogram with good individualized predictive ability (C-index =0.772)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study constructed an 8-gene necroptosis-related prognostic signature for COAD and a prognostic nomogram with a C-index of 0.772.", "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:37859737"], "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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