通过使用机器学习和离体测试,SERPINH1作为一种新的致瘤和免疫原性基因并预测骨肉瘤的免疫治疗反应。
By using machine learning and in vitro testing, SERPINH1 functions as a novel tumorigenic and immunogenic gene and predicts immunotherapy response in osteosarcoma.
发表日期:2023
作者:
Guang Xia, Song Wu, Ke Luo, Xiaoyu Cui
来源:
CYTOKINE & GROWTH FACTOR REVIEWS
摘要:
骨肿瘤中最常见的是恶性程度较高的骨肉瘤。然而,骨肉瘤中血清素蛋白家族的特征尚未明确。本研究从癌基因组图谱(GEO)和肿瘤基因组图谱(TCGA)中探索了血清素超家族在骨肉瘤中的预测意义。结果发现,SERPINH1是骨肉瘤中的一个重要的生物标志物。经过CCK-8、EdU、Transwell和IHC实验观察,SERPINH1可能促进骨肉瘤的增殖和迁移,并在肿瘤样本中表达较高而健康样本中表达较低。SERPINH1也可以预测免疫治疗的效果。另外,高SERPINH1水平的骨肉瘤通过检查点、细胞因子和生长因子通路与免疫细胞进行互动。基于SERPINH1的模型成功预测了骨肉瘤患者的生物学功能、免疫特性和治疗反应(包括免疫治疗和化疗)。SERPINH1和与其相关的分数可以预测骨肉瘤的凋亡方式(Ferroptosis/ pyroptosis/ apoptosis/ necroptosis)。SERPINH1相关分数是确定骨肉瘤患者对免疫治疗和化疗反应的有效方法,并且可以预测这些患者的生存结果。版权所有©2023 Xia, Wu, Luo和Cui。
The most prevalent bone tumor with a relatively high level of aggressiveness and malignancy is osteosarcoma. The characteristics of the serpin family in osteosarcoma have not been defined.In this study, the predictive significance of the serpin superfamily was investigated in the osteosarcoma and Gene Expression Omnibus (GEO) databases from The Cancer Genome Atlas (TCGA).It was discovered that SERPINH1 is a significant biological marker in osteosarcoma. According to the CCK-8, EdU, and Transwell assays as well as the IHC assay, SERPINH1 may promote osteosarcoma proliferation and migration. It is also more expressed in tumor samples than in healthy samples. SERPINH1 might forecast the effects of immunotherapy. Additionally, immune cells are interacted with through checkpoint, cytokine, and growth factor pathways in osteosarcomas with high SERPINH1 levels. The biological function, immunological characteristics, and treatment response (immunotherapy and chemotherapy responses) of patients with osteosarcoma were successfully predicted using a model related to SERPINH1. SERPINH1 and the SERPINH1-related score predict ferroptosis/pyroptosis/apoptosis/necroptosis in osteosarcoma.The SERPINH1-related score was an effective method for identifying osteosarcoma patients who would respond to immunotherapy and chemotherapy, as well as for predicting the survival outcomes of such patients.Copyright © 2023 Xia, Wu, Luo and Cui.