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pmid:38214842
Association Between Diverse Cell Death Patterns Related Gene Signature and Prognosis, Drug Sensitivity, and Immune Microenvironment in Glioblastoma.
Jian Li · Zhaoming Song · Zhouqing Chen · Jingyu Gu · Yifan Cai · Li Zhang · Zhong Wang
Journal of molecular neuroscience : MN · 2024 doi:10.1007/s12031-023-02181-4
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Complete file
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Diverse programmed cell death (PCD) patterns have a significant association with tumor initiation and progression. A novel prognostic model based on PCD genes may serve as an effective tool to predict the prognosis of GBM. The study incorporated 11 PCD patterns, namely apoptosis, necroptosis, pyroptosis, ferroptosis, cuproptosis, entotic cell death, netotic cell death, parthanatos, lysosome-dependent cell death, autophagy-dependent cell death, alkaliptosis, and oxeiptosis, to develop the model. To construct and validate the model, both bulk and single-cell transcriptome data, along with corresponding clinical data from GBM cases, were obtained from the TCGA-GBM, REMBRANDT, CGGA, and GSE162631 datasets. A cell death-related signature containing 14 genes was constructed with the TCGA-GBM cohort and validated in the REMBRANDT and CGGA datasets. GBM patients with a higher cell death index (CDI) were significantly associated with poorer survival outcomes. Two separate clusters associated with clinical outcomes emerged from unsupervised analysis. A multivariate Cox regression analysis was conducted to examine the association of CDI with clinical characteristics, and a prognostic nomogram was developed. Drug sensitivity analysis revealed high-CDI GBM patients might be resistant to carmustine while sensitive to 5-fluorouracil. Less abundance of natural killer cells was found in GBM cases with high CDI and bulk transcriptome data. A cell death-related prognostic model that could predict the prognosis of GBM patients with good performance was established, which could discriminate between the prognosis and drug sensitivity of GBM.", "claims": [{"id": "claim-method", "statement": "To ascertain whether CDI could serve as a prognostic factor independently, both univariate and multivariate Cox regression analyses were conducted.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38214842", "locator": "sections[17] \"Construction and Assessment of the Nomogram Survival Model\" paragraph 2", "quote": "To ascertain whether CDI could serve as a prognostic factor independently, both univariate and multivariate Cox regression analyses were conducted."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are available from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38214842", "locator": "sections[26] \"notes\" paragraph 1", "quote": "The data used to support the findings of this study are available from the corresponding author upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "CDI was independently associated with poorer overall survival in GBM (multivariate HR = 3.13, 95% CI 1.81–5.41, p < 0.001).", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "Furthermore, even after accounting for other influencing factors, the multivariate analysis revealed that CDI continued to be a separate predictive factor in GBM patients (HR = 3.13, 95% CI 1.81–5.41, p < 0.001, Fig. 6B)."}, "evidence": [{"asset": "source:pmid:38214842", "locator": "sections[17] \"Construction and Assessment of the Nomogram Survival Model\" paragraph 2", "quote": "Furthermore, even after accounting for other influencing factors, the multivariate analysis revealed that CDI continued to be a separate predictive factor in GBM patients (HR = 3.13, 95% CI 1.81–5.41, p < 0.001, Fig. 6B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "CDI was independently associated with poorer overall survival in GBM (multivariate HR = 3.13, 95% CI 1.81–5.41, p < 0.001).", "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:38214842"], "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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