A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer

Abstract Background Gastric cancer (GC) is a common malignant cancer with a poor prognosis. Ferroptosis has been shown to play crucial roles in GC development. Long non-coding RNAs (lncRNAs) is also associated with tumor progression in GC. This study aimed to screen the prognostic ferroptosis-relate...

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Autores principales:	Jianming Wei, Ye Zeng, Xibo Gao, Tong Liu
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Ferroptosis Gastric cancer Long non-coding RNA Prognosis Bioinformatics Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/eb09733d50d941069cbb8bd0ac88e3ed
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spelling	oai:doaj.org-article:eb09733d50d941069cbb8bd0ac88e3ed2021-11-14T12:30:24ZA novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer10.1186/s12885-021-08975-21471-2407https://doaj.org/article/eb09733d50d941069cbb8bd0ac88e3ed2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12885-021-08975-2https://doaj.org/toc/1471-2407Abstract Background Gastric cancer (GC) is a common malignant cancer with a poor prognosis. Ferroptosis has been shown to play crucial roles in GC development. Long non-coding RNAs (lncRNAs) is also associated with tumor progression in GC. This study aimed to screen the prognostic ferroptosis-related lncRNAs and to construct a prognostic risk model for GC. Methods Ferroptosis-related lncRNAs from The Cancer Genome Atlas (TCGA) GC expression data was downloaded. First, single factor Cox proportional hazard regression analysis was used to select seven prognostic ferroptosis-related lncRNAs from TCGA database. And then, the selected lncRNAs were further included in the multivariate Cox proportional hazard regression analysis to establish the prognostic model. A nomogram was constructed to predict individual survival probability. Finally, we performed quantitative reverse transcription polymerase chain reaction (qRT-PCR) to verify the risk model. Results We constructed a prognostic ferroptosis-related lncRNA signature in this study. Kaplan-Meier curve analysis revealed a significantly better prognosis for the low-risk group than for the high-risk group (P = 2.036e-05). Multivariate Cox proportional risk regression analysis demonstrated that risk score was an independent prognostic factor [hazard ratio (HR) = 1.798, 95% confidence interval (CI) =1.410–2.291, P < 0.001]. A nomogram, receiver operating characteristic curve, and principal component analysis were used to predict individual prognosis. Finally, the expression levels of AP003392.1, AC245041.2, AP001271.1, and BOLA3-AS1 in GC cell lines and normal cell lines were tested by qRT-PCR. Conclusions This risk model was shown to be a novel method for predicting prognosis for GC patients.Jianming WeiYe ZengXibo GaoTong LiuBMCarticleFerroptosisGastric cancerLong non-coding RNAPrognosisBioinformaticsNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBMC Cancer, Vol 21, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ferroptosis Gastric cancer Long non-coding RNA Prognosis Bioinformatics Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Ferroptosis Gastric cancer Long non-coding RNA Prognosis Bioinformatics Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Jianming Wei Ye Zeng Xibo Gao Tong Liu A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
description	Abstract Background Gastric cancer (GC) is a common malignant cancer with a poor prognosis. Ferroptosis has been shown to play crucial roles in GC development. Long non-coding RNAs (lncRNAs) is also associated with tumor progression in GC. This study aimed to screen the prognostic ferroptosis-related lncRNAs and to construct a prognostic risk model for GC. Methods Ferroptosis-related lncRNAs from The Cancer Genome Atlas (TCGA) GC expression data was downloaded. First, single factor Cox proportional hazard regression analysis was used to select seven prognostic ferroptosis-related lncRNAs from TCGA database. And then, the selected lncRNAs were further included in the multivariate Cox proportional hazard regression analysis to establish the prognostic model. A nomogram was constructed to predict individual survival probability. Finally, we performed quantitative reverse transcription polymerase chain reaction (qRT-PCR) to verify the risk model. Results We constructed a prognostic ferroptosis-related lncRNA signature in this study. Kaplan-Meier curve analysis revealed a significantly better prognosis for the low-risk group than for the high-risk group (P = 2.036e-05). Multivariate Cox proportional risk regression analysis demonstrated that risk score was an independent prognostic factor [hazard ratio (HR) = 1.798, 95% confidence interval (CI) =1.410–2.291, P < 0.001]. A nomogram, receiver operating characteristic curve, and principal component analysis were used to predict individual prognosis. Finally, the expression levels of AP003392.1, AC245041.2, AP001271.1, and BOLA3-AS1 in GC cell lines and normal cell lines were tested by qRT-PCR. Conclusions This risk model was shown to be a novel method for predicting prognosis for GC patients.
format	article
author	Jianming Wei Ye Zeng Xibo Gao Tong Liu
author_facet	Jianming Wei Ye Zeng Xibo Gao Tong Liu
author_sort	Jianming Wei
title	A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
title_short	A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
title_full	A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
title_fullStr	A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
title_full_unstemmed	A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer
title_sort	novel ferroptosis-related lncrna signature for prognosis prediction in gastric cancer
publisher	BMC
publishDate	2021
url	https://doaj.org/article/eb09733d50d941069cbb8bd0ac88e3ed
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A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer

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