骨肉瘤
免疫疗法
癌基因
体外
癌症研究
体内
抗原
抗原呈递
生物
癌症
医学
肿瘤科
免疫学
免疫系统
内科学
T细胞
细胞周期
生物技术
生物化学
作者
Yang Chen,Yajie Cao,Song Wu,Xu Cao,Ting Cai,Hai Hu
摘要
Abstract Background In recent decades, osteosarcoma has remained the most prevalent kind of malignant tumor. An important and crucial factor in immunotherapy is antigen processing and presentation (APP). The specific functions and pathogenic processes of APP in osteosarcoma have not, however, been studied. Methods Patients with osteosarcoma were divided into groups using APP‐related genes. Machine learning was used to further build the APP‐related score. Investigated in‐depth were the prognostic relevance of the score, mutation features, immunological aspects, and pharmacological prediction performance. Investigations of the prognostic utility, immunological traits, drug prediction effectiveness and immunotherapy prediction of BNIP3 were performed in‐depth. Results Investigations by cell counting kit‐8, Transwell and 5‐ethynyl‐2‐deoxyuridine (EdU) demonstrated that BNIP3 is an osteosarcoma tumor accelerator. The osteosarcoma gene BNIP3 may promote macrophage migration. The APP‐related score shows potential for clinical use. Conclusions It was anticipated that more in vitro and in vivo studies would confirm BNIP3’s tumorigenic and immunogenic processes in osteosarcoma.
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