Yan Bingchao, Chen Qian, Wang Dacheng, Ding Leili, Qu Jingfeng, Du Renfei, Shi Wenjie, Kahlert Ulf D, Yu Zhengquan
Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Department of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Front Immunol. 2025 Mar 6;16:1562070. doi: 10.3389/fimmu.2025.1562070. eCollection 2025.
The tumor microenvironment plays a crucial role in the progression of both glioma and glioma-induced autoimmune encephalitis. However, there remains a significant lack of effective therapeutic targets for these diseases.
We collected 54 CT images of glioma patients and 54 glioma-induced autoimmune encephalitis patients, respectively. Radiomics features were extracted from tumors and encephalitis regions using Python, followed by dimensionality reduction via random forest and lasso regression, and construction of radiomics-based risk scores. Genomic data matched with clinical information were analyzed to identify key prognostic genes significantly associated with risk scores. Gene expression was validated by immunohistochemistry using our clinical samples. Immune infiltration was evaluated using five algorithms (MCP-counter, EPIC, TIMER, QUANT and IPS). The association between hub genes and immune checkpoint markers as well as immunoregulation-related genes was also analyzed using Spearman correlation.
We identified 980 radiomics features both in glioma and encephalitis patient images and selected four key features through lasso regression to build a radiomics-based risk score. COL22A1 was strongly correlated with the risk score and identified as the hub prognostic gene. COL22A1 expression was higher in glioblastoma tissues and cell lines, and correlated with clinical factors such as higher age, WHO grade, and IDH mutation status. Immune infiltration analysis indicated associations with diverse immune and stromal cell populations, including CD8T cells, macrophages, and CAFs. COL22A1 was also positively correlated with immune checkpoints and immune-regulated genes.
Our study highlights the critical role of COL22A1 in gliomas and glioma-Induced Autoimmune Encephalitis, demonstrating its strong association with poor prognosis and its significant involvement in tumor immune regulation.
肿瘤微环境在胶质瘤和胶质瘤诱导的自身免疫性脑炎的进展中起关键作用。然而,这些疾病仍然严重缺乏有效的治疗靶点。
我们分别收集了54例胶质瘤患者和54例胶质瘤诱导的自身免疫性脑炎患者的CT图像。使用Python从肿瘤和脑炎区域提取放射组学特征,随后通过随机森林和套索回归进行降维,并构建基于放射组学的风险评分。分析与临床信息匹配的基因组数据,以鉴定与风险评分显著相关的关键预后基因。使用我们的临床样本通过免疫组织化学验证基因表达。使用五种算法(MCP-counter、EPIC、TIMER、QUANT和IPS)评估免疫浸润。还使用Spearman相关性分析了枢纽基因与免疫检查点标志物以及免疫调节相关基因之间的关联。
我们在胶质瘤和脑炎患者图像中识别出980个放射组学特征,并通过套索回归选择了四个关键特征以构建基于放射组学的风险评分。COL22A1与风险评分密切相关,并被确定为枢纽预后基因。COL22A1在胶质母细胞瘤组织和细胞系中的表达较高,且与年龄较大、世界卫生组织分级和异柠檬酸脱氢酶(IDH)突变状态等临床因素相关。免疫浸润分析表明与多种免疫和基质细胞群体有关,包括CD8 + T细胞、巨噬细胞和癌相关成纤维细胞(CAF)。COL22A1也与免疫检查点和免疫调节基因呈正相关。
我们的研究突出了COL22A1在胶质瘤和胶质瘤诱导的自身免疫性脑炎中的关键作用,表明其与不良预后密切相关,并在肿瘤免疫调节中起重要作用。