Prognositic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma

作     者：WANG Dong DENG Qing PENG Yi TONG Zhaochen LI Zixin HUANG Liping ZENG Jin LI Jinsong MIAO Jinglei CHEN Shijie 王栋;邓庆;彭毅;仝昭宸;李梓昕;黄力平;曾晋;李劲松;苗惊雷;陈世杰

作者机构：Department of Spine SurgeryThird Xiangya HospitalCentral South UniversityChangsha 410013 Shanghai Key Laboratory of Regulatory BiologyInstitute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai 200241China 

出 版 物：《中南大学学报（医学版）》 (Journal of Central South University ：Medical Science)

年 卷 期：2024年第49卷第5期

页      面：758-774页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：This work was supported by the National Natural Science Foundation(82172594 and 82373046) the Hunan Graduate Research Innovation Project(CX20230318),China 

主　　题：anoikis tumor immune microenvironment bioinformatics prognosis osteosarcoma 

摘      要：Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor ***-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary ***,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune *** study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of ***:Anoikis-related genes(ANRGs)were obtained from *** information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)*** highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)*** learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO ***,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor ***:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic *** differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling ***:The prognostic model based on ANRGs and tumor microenvironment