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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Published in | Frontiers in oncology Vol. 12; p. 880459 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
28.06.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Susu Guo, Shanghai Jiao Tong University, China; Zaoqu Liu, First Affiliated Hospital of Zhengzhou University, China; Emil Bulatov, Kazan Federal University, Russia This article was submitted to Pediatric Oncology, a section of the journal Frontiers in Oncology These authors have contributed equally to this work and share first authorship Edited by: Frédéric Lézot, Institut National de la Santé et de la Recherche Médicale (INSERM), France |
ISSN: | 2234-943X 2234-943X |
DOI: | 10.3389/fonc.2022.880459 |