Systematic profiling of ferroptosis gene signatures predicts prognostic factors in esophageal squamous cell carcinoma
| Autor: | Qi Li, Jiaying Zhao, Linyou Zhang, Jun Wang, Bo Peng, Ran Xu, Huawei Li, Han Zhang, Jida Guo, Tong Lu, Shengqiang Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Oncology Cancer Research medicine.medical_specialty medicine.medical_treatment immune microenvironment 03 medical and health sciences 0302 clinical medicine Internal medicine medicine prognostic model Pharmacology (medical) Stage (cooking) Gene RC254-282 Framingham Risk Score Proportional hazards model business.industry Area under the curve Univariate Neoplasms. Tumors. Oncology. Including cancer and carcinogens Immunotherapy Nomogram TCGA ferroptosis esophageal squamous cell carcinoma 030104 developmental biology 030220 oncology & carcinogenesis Molecular Medicine Original Article business |
| Zdroj: | Molecular Therapy: Oncolytics, Vol 21, Iss, Pp 134-143 (2021) Molecular Therapy Oncolytics |
| ISSN: | 2372-7705 |
| Popis: | We developed a predictive model associated with ferroptosis to provide a more comprehensive view of esophageal squamous cell carcinoma (ESCC) immunotherapy. Gene expression data and corresponding clinical outcomes were obtained from the GEO and The Cancer Genome Atlas (TCGA) databases, and a ferroptosis-related gene set was obtained from the FerrDb database. We identified 45 ferroptosis-related genes that were differentially expressed, including enrichment in genes involved in the immune system process. We established a ferroptosis-related gene-based prognostic model based on the results of univariate Cox regression and multivariate Cox regression analyses, with an area under the curve (AUC) of 0.76 (3 years). We found that the patients with low-risk scores showed a higher proportion of CD8+ T cells, CD4+ memory activated T cells, etc. Finally, a predictive ferroptosis-related prognostic nomogram, which included the predictive values of age, gender, grade, TNM stage, and risk score, was established to predict overall survival. In sum, we developed a ferroptosis-related gene-based prognostic model that provides novel insights into the prediction of ESCC prognosis and identifies the relevance of the immune microenvironment for patient outcomes. Graphical Abstract Lu et al. developed a ferroptosis-related gene-based prognostic model that provides novel insights into the prediction of ESCC prognosis and identifies the relevance of the immune microenvironment for patient outcomes. |
| Databáze: | OpenAIRE |
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