Ferroptosis-Related Gene Signature Accurately Predicts Survival Outcomes in Patients With Clear-Cell Renal Cell Carcinoma.

Ferroptosis-Related Gene Signature Accurately Predicts Survival Outcomes in Patients With Clear-Cell Renal Cell Carcinoma.
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DOI:
10.3389/fonc.2021.649347
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发表时间:
2021
影响因子:
4.7
通讯作者:
Liu X
Liu X
中科院分区:
医学3区
文献类型:
--
作者:
Chang K;Yuan C;Liu X

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作为一种由Ras选择性致死(RSL)化合物如erasti诱导的调节性细胞死亡,铁凋亡的特征是铁依赖性脂质过氧化物积累至致死水平。目前,铁蛋白沉积相关基因在肾透明细胞癌(ccRCC)中的作用知之甚少。在本研究中,从癌症基因组图谱(TCGA)中获得ccRCC中铁凋亡相关基因的表达数据,并进行考克斯回归分析以构建铁凋亡预后特征的风险模型。地球观测数据库被用来验证模型的准确性。研究结果表明:由11个铁凋亡基因构成的预后标志物,(汽车、CD 44、DPP 4、GCLC、HMGCR、HSPB 1、NCOA 4、SAT 1、PHKG 2、GOT 1、HMOX 1)与基于最低Akaike信息标准(AIC)的ccRCC患者的总生存期(OS)显著相关;多因素分析表明,铁蛋白沉积相关基因预后标记是ccRCC患者的独立预后因素;校准曲线和c指数值(0.77)证明具有签名的诺模图可以预测ccRCC患者的生存;富集分析显示,高危人群中富集了体液免疫和受体相互作用途径。上述研究结果表明,铁凋亡相关基因签名可以准确预测ccRCC患者的预后,并为个体化治疗提供有价值的见解。
As a type of regulated cell death induced by Ras selective lethal (RSL) compounds such as erasti, ferroptosis is characterized by iron-dependent lipid peroxide accumulation to lethal levels. At present, little is known about the role of ferroptosis-related genes in clear-cell renal cell carcinoma (ccRCC). In the present study, the expression data of ferroptosis-related genes in ccRCC were obtained from the Cancer Genome Atlas (TCGA), and COX regression analysis was performed to construct a risk model of ferroptosis prognostic signature. The GEO database was used to verify the accuracy of the model. The following findings were made: the results reveal that the prognostic signature constructed by 11 ferroptosis genes (CARS, CD44, DPP4, GCLC, HMGCR, HSPB1, NCOA4, SAT1, PHKG2, GOT1, HMOX1) was significantly related to the overall survival (OS) of ccRCC patients based on the lowest Akaike information criterion (AIC); multivariate analysis indicates that ferroptosis-related gene prognostic signature was an independent prognostic factor in ccRCC patients; the calibration curve and c-index value (0.77) demonstrate that the nomogram with the signature could predict the survival of ccRCC patients; and enrichment analysis shows that the high-risk group were enriched in humoral immunity and receptor interaction pathways. The aforementioned findings indicate that the ferroptosis-related gene signature can accurately predict the prognosis of ccRCC patients and provide valuable insights for individualized treatment.
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