Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma

Abstract Background Clear cell renal cell carcinoma (ccRCC) is characterized by the accumulation of lipid-reactive oxygen species. Ferroptosis, due to the lipid peroxidation, has been reported to be strongly correlated with tumorigenesis and progression. However, the functions of the ferroptosis pro...

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Main Authors: Zhenpeng Zhu, Cuijian Zhang, Jinqin Qian, Ninghan Feng, Weijie Zhu, Yang Wang, Yanqing Gong, Xuesong Li, Jian Lin, Liqun Zhou
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Cancer Cell International
Subjects:
Online Access:https://doi.org/10.1186/s12935-022-02700-0
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author Zhenpeng Zhu
Cuijian Zhang
Jinqin Qian
Ninghan Feng
Weijie Zhu
Yang Wang
Yanqing Gong
Xuesong Li
Jian Lin
Liqun Zhou
author_facet Zhenpeng Zhu
Cuijian Zhang
Jinqin Qian
Ninghan Feng
Weijie Zhu
Yang Wang
Yanqing Gong
Xuesong Li
Jian Lin
Liqun Zhou
author_sort Zhenpeng Zhu
collection DOAJ
description Abstract Background Clear cell renal cell carcinoma (ccRCC) is characterized by the accumulation of lipid-reactive oxygen species. Ferroptosis, due to the lipid peroxidation, has been reported to be strongly correlated with tumorigenesis and progression. However, the functions of the ferroptosis process in ccRCC remain unclear. Methods After sample cleaning, data integration, and batch effect removal, we used the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases to screen out the expression and prognostic value of ferroptosis-related lncRNAs and then performed the molecular subtyping using the K-means method. Then, the functional pathway enrichment and immune microenvironment infiltration between the different clusters were carried out. The results showed a significant difference in immune cell infiltration between the two clusters and the associated marker responded to individualized differences in treatment. Then, least absolute shrinkage and selection operator (LASSO) Cox regression was used to establish a prognostic signature based on 5 lncRNAs. This signature could accurately predicted patient prognosis and served as an independent clinical risk factor. We then combined significant clinical parameters in multivariate Cox regression and the prognostic signature to construct a clinical predictive nomogram, which provides appropriate guidance for predicting the overall survival of ccRCC patients. Results The prognostic differentially expressed ferroptosis-related LncRNAs (DEFRlncRNAs) were found, and 5 lncRNAs were finally used to establish the prognostic signature in the TCGA cohort, with subsequently validation in the internal and external cohorts. Moreover, we conducted the molecular subtyping and divided the patients in the TCGA cohort into two clusters showing differences in Hallmark pathways, immune infiltration, immune target expression, and drug therapies. Differences between clusters contributed to individualizing treatment. Furthermore, a nomogram was established to better predict the clinical outcomes of the ccRCC patients. Conclusions Our study conducted molecular subtyping and established a novel predictive signature based on the ferroptosis-related lncRNAs, which contributed to the prognostic prediction and individualizing treatment of ccRCC patients.
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spelling doaj.art-8e142ed7e54443838d8643b8e06b6e4b2022-12-22T04:30:45ZengBMCCancer Cell International1475-28672022-09-0122111310.1186/s12935-022-02700-0Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinomaZhenpeng Zhu0Cuijian Zhang1Jinqin Qian2Ninghan Feng3Weijie Zhu4Yang Wang5Yanqing Gong6Xuesong Li7Jian Lin8Liqun Zhou9Department of Urology, Peking University First HospitalDepartment of Urology, Peking University First HospitalDepartment of Urology, Peking University First HospitalThe Affiliated Wuxi Second People’s Hospital of Nanjing Medical UniversityDepartment of Urology, Peking University First HospitalThe Affiliated Wuxi Second People’s Hospital of Nanjing Medical UniversityDepartment of Urology, Peking University First HospitalDepartment of Urology, Peking University First HospitalDepartment of Urology, Peking University First HospitalDepartment of Urology, Peking University First HospitalAbstract Background Clear cell renal cell carcinoma (ccRCC) is characterized by the accumulation of lipid-reactive oxygen species. Ferroptosis, due to the lipid peroxidation, has been reported to be strongly correlated with tumorigenesis and progression. However, the functions of the ferroptosis process in ccRCC remain unclear. Methods After sample cleaning, data integration, and batch effect removal, we used the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases to screen out the expression and prognostic value of ferroptosis-related lncRNAs and then performed the molecular subtyping using the K-means method. Then, the functional pathway enrichment and immune microenvironment infiltration between the different clusters were carried out. The results showed a significant difference in immune cell infiltration between the two clusters and the associated marker responded to individualized differences in treatment. Then, least absolute shrinkage and selection operator (LASSO) Cox regression was used to establish a prognostic signature based on 5 lncRNAs. This signature could accurately predicted patient prognosis and served as an independent clinical risk factor. We then combined significant clinical parameters in multivariate Cox regression and the prognostic signature to construct a clinical predictive nomogram, which provides appropriate guidance for predicting the overall survival of ccRCC patients. Results The prognostic differentially expressed ferroptosis-related LncRNAs (DEFRlncRNAs) were found, and 5 lncRNAs were finally used to establish the prognostic signature in the TCGA cohort, with subsequently validation in the internal and external cohorts. Moreover, we conducted the molecular subtyping and divided the patients in the TCGA cohort into two clusters showing differences in Hallmark pathways, immune infiltration, immune target expression, and drug therapies. Differences between clusters contributed to individualizing treatment. Furthermore, a nomogram was established to better predict the clinical outcomes of the ccRCC patients. Conclusions Our study conducted molecular subtyping and established a novel predictive signature based on the ferroptosis-related lncRNAs, which contributed to the prognostic prediction and individualizing treatment of ccRCC patients.https://doi.org/10.1186/s12935-022-02700-0FerroptosisClear cell renal cell carcinomaMolecular subtypingPrognostic signatureLong Noncoding RNA
spellingShingle Zhenpeng Zhu
Cuijian Zhang
Jinqin Qian
Ninghan Feng
Weijie Zhu
Yang Wang
Yanqing Gong
Xuesong Li
Jian Lin
Liqun Zhou
Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
Cancer Cell International
Ferroptosis
Clear cell renal cell carcinoma
Molecular subtyping
Prognostic signature
Long Noncoding RNA
title Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
title_full Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
title_fullStr Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
title_full_unstemmed Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
title_short Construction and validation of a ferroptosis-related long noncoding RNA signature in clear cell renal cell carcinoma
title_sort construction and validation of a ferroptosis related long noncoding rna signature in clear cell renal cell carcinoma
topic Ferroptosis
Clear cell renal cell carcinoma
Molecular subtyping
Prognostic signature
Long Noncoding RNA
url https://doi.org/10.1186/s12935-022-02700-0
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