Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma

Kidney renal papillary cell carcinoma (KIRP) has a high mortality rate and a poor prognosis. Cu concentrations differed significantly between renal cancer tissues and adjacent normal tissues. Cuproptosis is a newly identified cell death. Long non-coding RNAs (lncRNAs) play a crucial role in the prog...

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Main Authors: Tongjin Xie, Bin Liu, Dongbo Liu, Yusong Zhou, Qingping Yang, Dai Wang, Mengjie Tang, Wei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.1103986/full
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author Tongjin Xie
Bin Liu
Dongbo Liu
Yusong Zhou
Qingping Yang
Dai Wang
Mengjie Tang
Wei Liu
author_facet Tongjin Xie
Bin Liu
Dongbo Liu
Yusong Zhou
Qingping Yang
Dai Wang
Mengjie Tang
Wei Liu
author_sort Tongjin Xie
collection DOAJ
description Kidney renal papillary cell carcinoma (KIRP) has a high mortality rate and a poor prognosis. Cu concentrations differed significantly between renal cancer tissues and adjacent normal tissues. Cuproptosis is a newly identified cell death. Long non-coding RNAs (lncRNAs) play a crucial role in the progression of KIRP. In this study, we focused on constructing and validating cuproptosis-related lncRNA signatures to predict the prognosis of KIRP patients and their immune correlation. We created prognosis models using Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) algorithm. We found that patients in the high-risk group had poorer overall survival (OS) and progression-free survival (PFS) and higher mortality. Risk score and stage are prognosis factors independent of other clinical features. Kaplan-Meier analysis, receiver operating characteristic (ROC) curves, and C-index curves showed that cuproptosis-related lncRNA signatures could more accurately predict the prognosis of patients. Functional enrichment analysis suggests that the function of differentially expressed genes (DEGs) is associated with KIRP development and immunity. In immune-related function analysis, we found a significant difference in parainflammation responses between high-risk and low-risk groups. The mutation frequencies of TTN, MET, KMT2C, PKHD1, SETD2, and KMT2D genes in the high-risk group were higher than those in the low-risk group, but the mutation frequencies of MUC16, KIAA109, CUBN, USH2A, DNAH8 and HERC2 genes were significantly lower than those in the low-risk group. Survival analysis of tumor mutation burden (TMB) and combined TMB-risk showed better OS in patients with high TMB. Immune infiltration and immune checkpoint analysis assessed the immune association of six high mutation frequency genes (TTN, MET, KMT2C, PKHD1, SETD2, and KMT2D) with KIRP. Finally, we performed a drug sensitivity analysis and screened 15 potential drugs that differed between high-risk and low-risk patients. In this study, we constructed and validated cuproptosis-related lncRNA signatures that can more accurately predict the prognosis of KIRP patients and provide new potential therapeutic targets and prognosis markers for KIRP patients.
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spelling doaj.art-ce2142b9b8b446fb9e9e901b95a41f522022-12-22T04:42:18ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122022-12-011310.3389/fphar.2022.11039861103986Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinomaTongjin Xie0Bin Liu1Dongbo Liu2Yusong Zhou3Qingping Yang4Dai Wang5Mengjie Tang6Wei Liu7Department of Urology, The Third Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Pharmacy, Zunyi Medical University, Zunyi, ChinaDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Pharmacy, Zunyi Medical University, Zunyi, ChinaXiangya School of Pharmacy, Central South University, Changsha, ChinaDepartment of Pathology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, ChinaDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, ChinaKidney renal papillary cell carcinoma (KIRP) has a high mortality rate and a poor prognosis. Cu concentrations differed significantly between renal cancer tissues and adjacent normal tissues. Cuproptosis is a newly identified cell death. Long non-coding RNAs (lncRNAs) play a crucial role in the progression of KIRP. In this study, we focused on constructing and validating cuproptosis-related lncRNA signatures to predict the prognosis of KIRP patients and their immune correlation. We created prognosis models using Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) algorithm. We found that patients in the high-risk group had poorer overall survival (OS) and progression-free survival (PFS) and higher mortality. Risk score and stage are prognosis factors independent of other clinical features. Kaplan-Meier analysis, receiver operating characteristic (ROC) curves, and C-index curves showed that cuproptosis-related lncRNA signatures could more accurately predict the prognosis of patients. Functional enrichment analysis suggests that the function of differentially expressed genes (DEGs) is associated with KIRP development and immunity. In immune-related function analysis, we found a significant difference in parainflammation responses between high-risk and low-risk groups. The mutation frequencies of TTN, MET, KMT2C, PKHD1, SETD2, and KMT2D genes in the high-risk group were higher than those in the low-risk group, but the mutation frequencies of MUC16, KIAA109, CUBN, USH2A, DNAH8 and HERC2 genes were significantly lower than those in the low-risk group. Survival analysis of tumor mutation burden (TMB) and combined TMB-risk showed better OS in patients with high TMB. Immune infiltration and immune checkpoint analysis assessed the immune association of six high mutation frequency genes (TTN, MET, KMT2C, PKHD1, SETD2, and KMT2D) with KIRP. Finally, we performed a drug sensitivity analysis and screened 15 potential drugs that differed between high-risk and low-risk patients. In this study, we constructed and validated cuproptosis-related lncRNA signatures that can more accurately predict the prognosis of KIRP patients and provide new potential therapeutic targets and prognosis markers for KIRP patients.https://www.frontiersin.org/articles/10.3389/fphar.2022.1103986/fulllncRNAcuproptosisKIRPprognosisimmune relevance
spellingShingle Tongjin Xie
Bin Liu
Dongbo Liu
Yusong Zhou
Qingping Yang
Dai Wang
Mengjie Tang
Wei Liu
Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
Frontiers in Pharmacology
lncRNA
cuproptosis
KIRP
prognosis
immune relevance
title Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
title_full Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
title_fullStr Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
title_full_unstemmed Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
title_short Cuproptosis-related lncRNA signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
title_sort cuproptosis related lncrna signatures predict prognosis and immune relevance of kidney renal papillary cell carcinoma
topic lncRNA
cuproptosis
KIRP
prognosis
immune relevance
url https://www.frontiersin.org/articles/10.3389/fphar.2022.1103986/full
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