Ferroptosis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma

被引:85
|
作者
Lei, Ting [1 ]
Qian, Hu [1 ]
Lei, Pengfei [1 ,2 ]
Hu, Yihe [1 ,2 ]
机构
[1] Cent South Univ, Xiangya Hosp, Hunan Engn Res Ctr Biomed Met & Ceram Implants, Dept Orthoped Surg, Changsha, Peoples R China
[2] Zhejiang Univ, Coll Med, Affiliated Hosp 1, Dept Orthoped Surg, Hangzhou, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
ferroptosis; immunity; osteosarcoma; prognosis; tumor microenvironment; CANCER; IRON; ACTIVATION; MECHANISMS; SUPPRESSOR; REGULATOR; PROMOTE; ROLES; STAT3;
D O I
10.1111/cas.15131
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Osteosarcoma has been the most common malignant bone tumor in children and adolescents, while the 5-y survival of osteosarcoma patients gained no significant improvement over the past decades. This study aimed to explore the role of ferroptosis-related genes (FRGs) in the development and prognosis of osteosarcoma. The datasets of osteosarcoma patients including RNA sequencing data and clinical information were acquired from the TRGET and Gene Expression Omnibus (GEO) databases. The identification of molecular subgroups with different FRG expression patterns was achieved through nonnegative matrix factorization (NMF) clustering. The prognostic model was constructed using the least absolute shrinkage and selection operator (LASSO) algorithm and multivariate Cox regression analysis. The ESTIMATE algorithm was applied for determining the stromal score, immune score, ESTIMA score, and tumor purity of osteosarcoma patients. Functional analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA) were conducted to explore the underlying mechanisms in the development and prognosis of osteosarcoma. Two molecular subgroups with different FRGs expression patterns were identified. The molecular subgroups with higher immune score and more active immune status showed better prognostic survival. On the basis of FRGs, a prognostic model and a nomogram integrating clinical characteristics were constructed and their prediction efficiency for osteosarcoma prognosis were well validated. Gene functional enrichment analysis showed that these differentially expressed FRGs were mainly enriched in immunity-related signaling pathways, indicating that FRGs may affect the development and prognosis of osteosarcoma by regulating the immune microenvironment. The expression profiles of FRGs were closely related to the immunity status and prognostic survival of osteosarcoma patients. The interaction between ferroptosis and immunity in the development of osteosarcoma could provide a new insight into the exploration of molecular mechanisms and targeted therapies of osteosarcoma patients.
引用
收藏
页码:4785 / 4798
页数:14
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