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Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma

Research on the implications of ferroptosis in tumors has increased rapidly in the last decades. There are evidences that ferroptosis is involved in several aspects of cancer biology, including tumor progression, metastasis, immunomodulation, and therapeutic response. Nonetheless, the interaction be...

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Autores principales: Zhang, Yiming, He, Rong, Lei, Xuan, Mao, Lianghao, Yin, Zhengyu, Zhong, Xinyu, Cao, Wenbing, Zheng, Qiping, Li, Dapeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273977/
https://www.ncbi.nlm.nih.gov/pubmed/35837104
http://dx.doi.org/10.3389/fonc.2022.880459
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author Zhang, Yiming
He, Rong
Lei, Xuan
Mao, Lianghao
Yin, Zhengyu
Zhong, Xinyu
Cao, Wenbing
Zheng, Qiping
Li, Dapeng
author_facet Zhang, Yiming
He, Rong
Lei, Xuan
Mao, Lianghao
Yin, Zhengyu
Zhong, Xinyu
Cao, Wenbing
Zheng, Qiping
Li, Dapeng
author_sort Zhang, Yiming
collection PubMed
description Research on the implications of ferroptosis in tumors has increased rapidly in the last decades. There are evidences that ferroptosis is involved in several aspects of cancer biology, including tumor progression, metastasis, immunomodulation, and therapeutic response. Nonetheless, the interaction between ferroptosis-related lncRNAs (FRLs) and the osteosarcoma immune microenvironment is poorly understood. In this study, a risk model composed of FRLs was developed using univariate and LASSO Cox regression analyses. On the basis of this model, FRL scores were calculated to systematically explore the role of the model in predicting the prognosis and immune characteristics of osteosarcoma patients. Survival analysis showed that osteosarcoma samples with lower FRL-score had better overall survival. After predicting the abundance of immune cells in osteosarcoma microenvironment by single-sample gene-set enrichment analysis (ssGSEA) and ESTIMATE analysis, we found that the FRL-score could distinguish immune function, immune score, stromal score, tumor purity, and tumor infiltration of immune cells in different osteosarcoma patients. In addition, FRL-score was also associated with immune checkpoint gene expression and half-maximal inhibitory concentration of chemotherapeutic agents. Finally, we confirmed that knockdown of RPARP-AS1 suppressed the malignant activity of osteosarcoma cells in vitro experiments. In general, the FRL-based prognostic signature could promote our understanding of the immune microenvironment characteristics of osteosarcoma and guide more effective treatment regimens.
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spelling pubmed-92739772022-07-13 Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma Zhang, Yiming He, Rong Lei, Xuan Mao, Lianghao Yin, Zhengyu Zhong, Xinyu Cao, Wenbing Zheng, Qiping Li, Dapeng Front Oncol Oncology Research on the implications of ferroptosis in tumors has increased rapidly in the last decades. There are evidences that ferroptosis is involved in several aspects of cancer biology, including tumor progression, metastasis, immunomodulation, and therapeutic response. Nonetheless, the interaction between ferroptosis-related lncRNAs (FRLs) and the osteosarcoma immune microenvironment is poorly understood. In this study, a risk model composed of FRLs was developed using univariate and LASSO Cox regression analyses. On the basis of this model, FRL scores were calculated to systematically explore the role of the model in predicting the prognosis and immune characteristics of osteosarcoma patients. Survival analysis showed that osteosarcoma samples with lower FRL-score had better overall survival. After predicting the abundance of immune cells in osteosarcoma microenvironment by single-sample gene-set enrichment analysis (ssGSEA) and ESTIMATE analysis, we found that the FRL-score could distinguish immune function, immune score, stromal score, tumor purity, and tumor infiltration of immune cells in different osteosarcoma patients. In addition, FRL-score was also associated with immune checkpoint gene expression and half-maximal inhibitory concentration of chemotherapeutic agents. Finally, we confirmed that knockdown of RPARP-AS1 suppressed the malignant activity of osteosarcoma cells in vitro experiments. In general, the FRL-based prognostic signature could promote our understanding of the immune microenvironment characteristics of osteosarcoma and guide more effective treatment regimens. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9273977/ /pubmed/35837104 http://dx.doi.org/10.3389/fonc.2022.880459 Text en Copyright © 2022 Zhang, He, Lei, Mao, Yin, Zhong, Cao, Zheng and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhang, Yiming
He, Rong
Lei, Xuan
Mao, Lianghao
Yin, Zhengyu
Zhong, Xinyu
Cao, Wenbing
Zheng, Qiping
Li, Dapeng
Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title_full Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title_fullStr Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title_full_unstemmed Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title_short Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma
title_sort comprehensive analysis of a ferroptosis-related lncrna signature for predicting prognosis and immune landscape in osteosarcoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273977/
https://www.ncbi.nlm.nih.gov/pubmed/35837104
http://dx.doi.org/10.3389/fonc.2022.880459
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