CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Probing the Potential of Defense Response-Associated Genes for Predicting the Progression, Prognosis, and Immune Microenvironment of Osteosarcoma.
Probing the Potential of Defense Response-Associated Genes for Predicting the Progression, Prognosis, and Immune Microenvironment of Osteosarcoma.
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本研究阐明了 BNIP3、PTGIS 和 ZYX 在骨肉瘤进展中的作用与机制,并得到实验结果的充分验证,从而能够为骨肉瘤患者提出可靠的预后判断手段和治疗策略。
防御反应是机体保护自身免受病原因素损伤的一类自我保护反应。这些反应对肿瘤发生发展具有重要影响,但其在骨肉瘤(OS)中的作用,尤其是在免疫微环境中的影响,仍难以预测。
研究纳入84例骨肉瘤样本的临床和转录组数据,以及12份间充质干细胞和84份骨肉瘤样本的微阵列数据。通过取差异表达基因与防御反应通路基因的交集,获得129个防御反应相关差异基因(DRG),再用单变量Cox回归筛选预后基因。随后采用LASSO惩罚Cox回归和多变量Cox回归逐步建立DRG预后特征(DGPS),并通过独立预后分析、生存曲线和受试者工作特征(ROC)曲线评估其表现。此外,研究阐明了DGPS识别的高风险人群预后不良相关分子及免疫机制,并通过实验验证结果。
BNIP3、PTGIS和ZYX是影响OS进展最重要的DRG,其风险比分别为2.044、1.485和0.189。DGPS预测OS预后表现优异,训练集和测试集曲线下面积(AUC)分别为0.842和0.787,生存曲线差异经校正后p<0.05。其表现也优于近期临床预后方法,后者AUC仅为0.674(转移),后续实验结果进一步证实了这一点。这三个基因可调节多种关键生物学过程,包括免疫受体活性和T细胞活化,并减少部分免疫细胞(如B细胞、CD8+ T细胞和巨噬细胞)浸润。值得关注的是,DGPS与患者对JNK抑制剂VIII、TGX221、MP470和SB52334等化疗药物的敏感性相关。最后,研究通过实验验证了BNIP3对骨肉瘤细胞凋亡、增殖和迁移的影响。
本研究阐明BNIP3、PTGIS和ZYX在OS进展中的作用及机制,并通过实验充分验证,为骨肉瘤患者提出了可靠的预后评估方法和治疗策略。
The defense response is a type of self-protective response of the body that protects it from damage by pathogenic factors. Although these reactions make important contributions to the occurrence and development of tumors, the role they play in osteosarcoma (OS), particularly in the immune microenvironment, remains unpredictable.
This study included the clinical information and transcriptomic data of 84 osteosarcoma samples and the microarray data of 12 mesenchymal stem cell samples and 84 osteosarcoma samples. We obtained 129 differentially expressed genes related to the defense response (DRGs) by taking the intersection of differentially expressed genes with genes involved in the defense response pathway, and prognostic genes were screened using univariate Cox regression. Least absolute shrinkage and selection operator (LASSO) penalized Cox regression and multivariate Cox regression were then used to establish a DRG prognostic signature (DGPS) via the stepwise method. DGPS performance was examined using independent prognostic analysis, survival curves, and receiver operating characteristic (ROC) curves. In addition, the molecular and immune mechanisms of adverse prognosis in high-risk populations identified by DGPS were elucidated. The results were well verified by experiments. RESULT: BNIP3, PTGIS, and ZYX were identified as the most important DRGs for OS progression (hazard ratios of 2.044, 1.485, and 0.189, respectively). DGPS demonstrated outstanding performance in the prediction of OS prognosis (area under the curve (AUC) values of 0.842 and 0.787 in the training and test sets, respectively, adj- p < 0.05 in the survival curve). DGPS also performed better than a recent clinical prognostic approach with an AUC value of only 0.674 [metastasis], which was certified in the subsequent experimental results. These three genes regulate several key biological processes, including immune receptor activity and T cell activation, and they also reduce the infiltration of some immune cells, such as B cells, CD8+ T cells, and macrophages. Encouragingly, we found that DGPS was associated with sensitivity to chemotherapeutic drugs including JNK Inhibitor VIII, TGX221, MP470, and SB52334. Finally, we verified the effect of BNIP3 on apoptosis, proliferation, and migration of osteosarcoma cells through experiments.
This study elucidated the role and mechanism of BNIP3, PTGIS, and ZYX in OS progression and was well verified by the experimental results, enabling reliable prognostic means and treatment strategies to be proposed for OS patients.
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