Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC

Abstract Background Non-small cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with an unfavorable prognosis. Ferroptosis is involved in the development of multiple cancers. Whereas, the prognostic value of ferroptosis-related lncRNAs in NSCLC remains uncertain. Methods Gene exp...

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Autores principales:	Meng Li, Yanpeng Zhang, Meng Fan, Hui Ren, Mingwei Chen, Puyu Shi
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Non-small cell lung cancer Ferroptosis Long non-coding RNAs Prognostic Signature Internal medicine RC31-1245 Genetics QH426-470
Acceso en línea:	https://doaj.org/article/d23cfdbf0ee14551b2429fb75416f4d1
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spelling	oai:doaj.org-article:d23cfdbf0ee14551b2429fb75416f4d12021-12-05T12:05:26ZIdentification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC10.1186/s12920-021-01133-41755-8794https://doaj.org/article/d23cfdbf0ee14551b2429fb75416f4d12021-12-01T00:00:00Zhttps://doi.org/10.1186/s12920-021-01133-4https://doaj.org/toc/1755-8794Abstract Background Non-small cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with an unfavorable prognosis. Ferroptosis is involved in the development of multiple cancers. Whereas, the prognostic value of ferroptosis-related lncRNAs in NSCLC remains uncertain. Methods Gene expression profiles and clinical information of NSCLC were retrieved from the TCGA database. Ferroptosis-related genes (FRGs) were explored in the FerrDb database and previous studies, ferroptosis-related lncRNAs (FRGs-lncRNAs) were identified by the correlation analysis and the LncTarD database. The differentially expressed FRGs-lncRNAs were screened and FRGs-lncRNAs associated with the prognosis were explored by univariate Cox regression analysis and Kaplan–Meier survival analysis. Then, an FRGs-lncRNAs signature was constructed and verified by the Lasso-penalized Cox analysis. Finally, the potential correlation between risk score, immune checkpoint genes, and chemotherapeutic sensitivity was further investigated. Results 129 lncRNAs with a potential regulatory relationship with 59 differentially expressed FRGs were found in NSCLC, of which 10 were related to the prognosis of NSCLC (P < 0.05). 9 prognostic-related FRGs-lncRNAs were used to construct the prognostic model and stratify NSCLC patients into high- and low-risk groups. A worse outcome was found in patients with high risk (P < 0.05). Moreover, a good predictive capacity of this signature in predicting NSCLC prognosis was confirmed. Additionally, 45 immune checkpoint genes and 4 chemotherapeutics drugs for NSCLC were identified to be correlated with the risk score. Conclusion A novel FRGs-lncRNAs signature was successfully constructed, which may contribute to improving the management strategies of NSCLC.Meng LiYanpeng ZhangMeng FanHui RenMingwei ChenPuyu ShiBMCarticleNon-small cell lung cancerFerroptosisLong non-coding RNAsPrognosticSignatureInternal medicineRC31-1245GeneticsQH426-470ENBMC Medical Genomics, Vol 14, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Non-small cell lung cancer Ferroptosis Long non-coding RNAs Prognostic Signature Internal medicine RC31-1245 Genetics QH426-470
spellingShingle	Non-small cell lung cancer Ferroptosis Long non-coding RNAs Prognostic Signature Internal medicine RC31-1245 Genetics QH426-470 Meng Li Yanpeng Zhang Meng Fan Hui Ren Mingwei Chen Puyu Shi Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
description	Abstract Background Non-small cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with an unfavorable prognosis. Ferroptosis is involved in the development of multiple cancers. Whereas, the prognostic value of ferroptosis-related lncRNAs in NSCLC remains uncertain. Methods Gene expression profiles and clinical information of NSCLC were retrieved from the TCGA database. Ferroptosis-related genes (FRGs) were explored in the FerrDb database and previous studies, ferroptosis-related lncRNAs (FRGs-lncRNAs) were identified by the correlation analysis and the LncTarD database. The differentially expressed FRGs-lncRNAs were screened and FRGs-lncRNAs associated with the prognosis were explored by univariate Cox regression analysis and Kaplan–Meier survival analysis. Then, an FRGs-lncRNAs signature was constructed and verified by the Lasso-penalized Cox analysis. Finally, the potential correlation between risk score, immune checkpoint genes, and chemotherapeutic sensitivity was further investigated. Results 129 lncRNAs with a potential regulatory relationship with 59 differentially expressed FRGs were found in NSCLC, of which 10 were related to the prognosis of NSCLC (P < 0.05). 9 prognostic-related FRGs-lncRNAs were used to construct the prognostic model and stratify NSCLC patients into high- and low-risk groups. A worse outcome was found in patients with high risk (P < 0.05). Moreover, a good predictive capacity of this signature in predicting NSCLC prognosis was confirmed. Additionally, 45 immune checkpoint genes and 4 chemotherapeutics drugs for NSCLC were identified to be correlated with the risk score. Conclusion A novel FRGs-lncRNAs signature was successfully constructed, which may contribute to improving the management strategies of NSCLC.
format	article
author	Meng Li Yanpeng Zhang Meng Fan Hui Ren Mingwei Chen Puyu Shi
author_facet	Meng Li Yanpeng Zhang Meng Fan Hui Ren Mingwei Chen Puyu Shi
author_sort	Meng Li
title	Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
title_short	Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
title_full	Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
title_fullStr	Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
title_full_unstemmed	Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC
title_sort	identification of the ferroptosis-related long non-coding rnas signature to improve the prognosis prediction and immunotherapy response in patients with nsclc
publisher	BMC
publishDate	2021
url	https://doaj.org/article/d23cfdbf0ee14551b2429fb75416f4d1
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Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC

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