Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma

Long non-coding RNAs (lncRNAs), which were implicated in many pathophysiological processes including cancer, were frequently dysregulated in hepatocellular carcinoma (HCC). Studies have demonstrated that ferroptosis and immunity can regulate the biological behaviors of tumors. Therefore, biomarkers...

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Autores principales: Anmin Huang, Ting Li, Xueting Xie, Jinglin Xia
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:ef36d98060f84f3c86207698077143572021-12-01T01:20:20ZComputational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma2296-889X10.3389/fmolb.2021.759173https://doaj.org/article/ef36d98060f84f3c86207698077143572021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmolb.2021.759173/fullhttps://doaj.org/toc/2296-889XLong non-coding RNAs (lncRNAs), which were implicated in many pathophysiological processes including cancer, were frequently dysregulated in hepatocellular carcinoma (HCC). Studies have demonstrated that ferroptosis and immunity can regulate the biological behaviors of tumors. Therefore, biomarkers that combined ferroptosis, immunity, and lncRNA can be a promising candidate bioindicator in clinical therapy of cancers. Many bioinformatics methods, including Pearson correlation analysis, univariate Cox proportional hazard regression analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate Cox proportional hazard regression analysis were applied to develop a prognostic risk signature of immune- and ferroptosis-related lncRNA (IFLSig). Finally, eight immune- and ferroptosis-related lncRNAs (IFLncRNA) were identified to develop and IFLSig of HCC patients. We found the prognosis of patients with high IFLSig will be worse, while the prognosis of patients with low IFLSig will be better. The results provide an efficient method of uniting critical clinical information with immunological characteristics, enabling estimation of the overall survival (OS). Such an integrative prognostic model with high predictive power would have a notable impact and utility in prognosis prediction and individualized treatment strategies.Anmin HuangAnmin HuangTing LiXueting XieJinglin XiaJinglin XiaFrontiers Media S.A.articleferroptosisimmunelong non-coding RNA (lncRNA)hepatocellular carcinomaprognosisBiology (General)QH301-705.5ENFrontiers in Molecular Biosciences, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic ferroptosis
immune
long non-coding RNA (lncRNA)
hepatocellular carcinoma
prognosis
Biology (General)
QH301-705.5
spellingShingle ferroptosis
immune
long non-coding RNA (lncRNA)
hepatocellular carcinoma
prognosis
Biology (General)
QH301-705.5
Anmin Huang
Anmin Huang
Ting Li
Xueting Xie
Jinglin Xia
Jinglin Xia
Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
description Long non-coding RNAs (lncRNAs), which were implicated in many pathophysiological processes including cancer, were frequently dysregulated in hepatocellular carcinoma (HCC). Studies have demonstrated that ferroptosis and immunity can regulate the biological behaviors of tumors. Therefore, biomarkers that combined ferroptosis, immunity, and lncRNA can be a promising candidate bioindicator in clinical therapy of cancers. Many bioinformatics methods, including Pearson correlation analysis, univariate Cox proportional hazard regression analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate Cox proportional hazard regression analysis were applied to develop a prognostic risk signature of immune- and ferroptosis-related lncRNA (IFLSig). Finally, eight immune- and ferroptosis-related lncRNAs (IFLncRNA) were identified to develop and IFLSig of HCC patients. We found the prognosis of patients with high IFLSig will be worse, while the prognosis of patients with low IFLSig will be better. The results provide an efficient method of uniting critical clinical information with immunological characteristics, enabling estimation of the overall survival (OS). Such an integrative prognostic model with high predictive power would have a notable impact and utility in prognosis prediction and individualized treatment strategies.
format article
author Anmin Huang
Anmin Huang
Ting Li
Xueting Xie
Jinglin Xia
Jinglin Xia
author_facet Anmin Huang
Anmin Huang
Ting Li
Xueting Xie
Jinglin Xia
Jinglin Xia
author_sort Anmin Huang
title Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
title_short Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
title_full Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
title_fullStr Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
title_full_unstemmed Computational Identification of Immune- and Ferroptosis-Related LncRNA Signature for Prognosis of Hepatocellular Carcinoma
title_sort computational identification of immune- and ferroptosis-related lncrna signature for prognosis of hepatocellular carcinoma
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/ef36d98060f84f3c8620769807714357
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