Identification of cuproptosis-related lncRNAs signature for predicting the prognosis in patients with kidney renal clear cell carcinoma

被引:0
作者
He, Ya
Zhang, Hongxia
Li, Jingang
Zhou, Hui
Wang, Fei
Zhang, Guangliang
Wen, Yuetao [1 ]
机构
[1] Chongqing Univ, Jiangjin Hosp, Sch Med, Dept Neurosurg, 725 Jiangzhou Ave, Chongqing 402260, Peoples R China
来源
JOURNAL OF GENETIC ENGINEERING AND BIOTECHNOLOGY | 2024年 / 22卷 / 01期
关键词
Cuproptosis; Cuproptosis-related lncRNAs; Kidney renal clear cell carcinoma; Tumor immune; LONG NONCODING RNA;
D O I
10.1016/j.jgeb.2023.100338
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Kidney renal clear cell carcinoma (KIRC), with low survival rate, is the most frequent subtype of renal cell carcinoma. Recently, more and more studies indicate that cuproptosis-related genes (CRGs) and long non-coding RNAs (lncRNAs) play a vital role in the occurrence and development of many types of cancers. However, the roles of cuproptosis-related lncRNAs (CRlncRNAs) in the KIRC was uncertain. Results: In our study, CRlncRNAs were obtained by coexpression between differentially expressed and prognostic CRGs and differentially expressed and prognostic lncRNAs, and an 8-CRlncRNAs (AC007743.1, AC022915.1, AP005136.4, APCDD1L-DT, HAGLR, LINC02027, MANCR and SMARCA5-AS1) risk model was established according to least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression. This risk model could differentiate immune cell infiltration, immune function and gene mutation. Conclusions: This 8-CRlncRNAs risk model may be promising for the clinical prediction of prognoses, tumor immune, immunotherapy response and chemotherapeutic response in KIRC patients.
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页数:13
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