高级检索
当前位置: 首页 > 详情页

Construction and Validation of Necroptosis Risk-Scoring Signature in Lung Adenocarcinoma

文献详情

资源类型:
WOS体系:

收录情况: ◇ SCIE

单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Intens Care Med,Emergency Dept, Wuhan 430030, Peoples R China
出处:
ISSN:

关键词: Joint representation learning necroptosis lung adenocarcinoma nomogram Kyoto Encyclopedia of genes and genomes database gene ontology database

摘要:
Lung adenocarcinoma is one of the most common tumors in humans. By exploring the role of necroptosis in lung adenocarcinoma, we aimed to gather information which can be used to build a necroptosis-related-gene-based diagnostic model that can play an auxiliary role in lung adenocarcinoma diagnosis and treatment. Necroptosis-related genes were selected from the Kyoto Encyclopedia of genes and genomes database. Differentially expressed genes in the tumor group and normal group were identified from The Cancer Genome Atlas/Genomic Data Commons database then analyzed by gene ontology, Kyoto Encyclopedia of genes and genomes and gene set enrichment analysis. Cox and Lasso regression analyses were used to screen out prognosis-related necroptosis-related genes from the differentially expressed genes and establish a necroptosis risk-scoring signature. The receiver operating characteristic curves were plotted and patients were divided into high-risk and low-risk groups according to the necroptosis risk-scoring signature. Kaplan-Meier survival curves were drawn and area under the curve, and decision curve analyses were calculated to evaluate the performance of the model. Then, internal and external dataset validations were performed. A total of 159 necroptosis-related genes were retrieved from the Kyoto Encyclopedia of genes and genomes database, 39 of which were differentially expressed in tumor tissues. Four necroptosis-related genes (interleukin-33, cytochrome B-245 beta chain, H2A.X variant histone and Readthrough (RNF103-CHMP3)) independently correlated with lung adenocarcinoma prognosis were screened by Lasso or Cox regression based on which prognostic model was established. The independent prognostic value of this model was verified by multivariate Cox regression analysis. In this model, the low-risk group showed significantly longer survival time than the high-risk group (p<0.01) and the model showed good predictive performance in both the internal and external validation sets. In this study, we explored the potential link between necroptosis and lung adenocarcinoma, established a necroptosis gene-based prognostic model and validated the independent prognostic value of the model.

语种:
WOS:
中科院(CAS)分区:
出版当年[2021]版:
大类 | 4 区 医学
小类 | 4 区 药学
最新[2025]版:
JCR分区:
出版当年[2020]版:
Q4 PHARMACOLOGY & PHARMACY
最新[2024]版:

影响因子: 最新[2024版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

第一作者:
第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Intens Care Med,Emergency Dept, Wuhan 430030, Peoples R China
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:811 今日访问量:0 总访问量:560 更新日期:2025-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有:重庆聚合科技有限公司 渝ICP备12007440号-3 地址:重庆市两江新区泰山大道西段8号坤恩国际商务中心16层(401121)