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

Autor:	Zhang Y; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China., He R; Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China., Lei X; Department of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China., Mao L; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China., Yin Z; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China., Zhong X; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China., Cao W; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China., Zheng Q; Department of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.; Shenzhen Academy of Peptide Targeting Technology at Pingshan, and Shenzhen Tyercan Bio-Pharm Co., Ltd., Shenzhen, China., Li D; Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jazyk:	angličtina
Zdroj:	Frontiers in oncology [Front Oncol] 2022 Jun 28; Vol. 12, pp. 880459. Date of Electronic Publication: 2022 Jun 28 (Print Publication: 2022).
DOI:	10.3389/fonc.2022.880459
Abstrakt:	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. Competing Interests: Author QZ was employed by the company Shenzhen Tyercan Bio-Pharm Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Zhang, He, Lei, Mao, Yin, Zhong, Cao, Zheng and Li.)
Databáze:	MEDLINE
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