Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma

Kidney renal papillary cell carcinoma (KIRP) is a highly heterogeneous type of kidney cancer, resulting in limited effective prognostic targets for KIRP patients. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators in the regulation of ferroptosis and iron metabolism, making them poten...

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Main Authors: Yubo Gong, Chenchen Zhang, Hao Li, Xiaojie Yu, Yuejia Li, Zhiguo Liu, Ruyi He
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Current Issues in Molecular Biology
Subjects:
Online Access:https://www.mdpi.com/1467-3045/46/3/123
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author Yubo Gong
Chenchen Zhang
Hao Li
Xiaojie Yu
Yuejia Li
Zhiguo Liu
Ruyi He
author_facet Yubo Gong
Chenchen Zhang
Hao Li
Xiaojie Yu
Yuejia Li
Zhiguo Liu
Ruyi He
author_sort Yubo Gong
collection DOAJ
description Kidney renal papillary cell carcinoma (KIRP) is a highly heterogeneous type of kidney cancer, resulting in limited effective prognostic targets for KIRP patients. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators in the regulation of ferroptosis and iron metabolism, making them potential targets for the treatment and prognosis of KIRP. In this study, we constructed a ferroptosis-related lncRNA risk score model (FRM) based on the TCGA-KIRP dataset, which represents a novel subtype of KIRP not previously reported. The model demonstrated promising diagnostic accuracy and holds potential for clinical translation. We observed significant differences in metabolic activities, immune microenvironment, mutation landscape, ferroptosis sensitivity, and drug sensitivity between different risk groups. The high-risk groups exhibit significantly higher fractions of cancer-associated fibroblasts (CAFs), hematopoietic stem cells (HSC), and pericytes. Drugs (IC50) analysis provided a range of medication options based on different FRM typing. Additionally, we employed single-cell transcriptomics to further analyze the impact of immune invasion on the occurrence and development of KIRP. Overall, we have developed an accurate prognostic model based on the expression patterns of ferroptosis-related lncRNAs for KIRP. This model has the potential to contribute to the evaluation of patient prognosis, molecular characteristics, and treatment modalities, and can be further translated into clinical applications.
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spelling doaj.art-a99c07af833b48fab0f22e49e96265262024-03-27T13:31:22ZengMDPI AGCurrent Issues in Molecular Biology1467-30371467-30452024-02-014631886190310.3390/cimb46030123Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell CarcinomaYubo Gong0Chenchen Zhang1Hao Li2Xiaojie Yu3Yuejia Li4Zhiguo Liu5Ruyi He6School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, ChinaKidney renal papillary cell carcinoma (KIRP) is a highly heterogeneous type of kidney cancer, resulting in limited effective prognostic targets for KIRP patients. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators in the regulation of ferroptosis and iron metabolism, making them potential targets for the treatment and prognosis of KIRP. In this study, we constructed a ferroptosis-related lncRNA risk score model (FRM) based on the TCGA-KIRP dataset, which represents a novel subtype of KIRP not previously reported. The model demonstrated promising diagnostic accuracy and holds potential for clinical translation. We observed significant differences in metabolic activities, immune microenvironment, mutation landscape, ferroptosis sensitivity, and drug sensitivity between different risk groups. The high-risk groups exhibit significantly higher fractions of cancer-associated fibroblasts (CAFs), hematopoietic stem cells (HSC), and pericytes. Drugs (IC50) analysis provided a range of medication options based on different FRM typing. Additionally, we employed single-cell transcriptomics to further analyze the impact of immune invasion on the occurrence and development of KIRP. Overall, we have developed an accurate prognostic model based on the expression patterns of ferroptosis-related lncRNAs for KIRP. This model has the potential to contribute to the evaluation of patient prognosis, molecular characteristics, and treatment modalities, and can be further translated into clinical applications.https://www.mdpi.com/1467-3045/46/3/123ferroptosislncRNAKIRPclinical outcomerisk model
spellingShingle Yubo Gong
Chenchen Zhang
Hao Li
Xiaojie Yu
Yuejia Li
Zhiguo Liu
Ruyi He
Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
Current Issues in Molecular Biology
ferroptosis
lncRNA
KIRP
clinical outcome
risk model
title Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
title_full Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
title_fullStr Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
title_full_unstemmed Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
title_short Ferroptosis-Related lncRNA to Predict the Clinical Outcomes and Molecular Characteristics of Kidney Renal Papillary Cell Carcinoma
title_sort ferroptosis related lncrna to predict the clinical outcomes and molecular characteristics of kidney renal papillary cell carcinoma
topic ferroptosis
lncRNA
KIRP
clinical outcome
risk model
url https://www.mdpi.com/1467-3045/46/3/123
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