Department of Neurosurgery, General Hospital of the Yangtze River Shipping, Wuhan, China.
Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Medicine (Baltimore). 2021 Nov 19;100(46):e27931. doi: 10.1097/MD.0000000000027931.
Gliomas are the most intrinsic type of primary intracranial tumors. The protein encoded by The calponin 3 (CNN3) has been proven to be a member of the calponin family. Its relationships with cervical cancer, colorectal cancer, gastric cancer, and colon cancer have been emphasized by several studies. Our research aims to explore the prognosis value and immunotherapeutic targetability of CNN3 in glioma patients using bioinformatics approach.
CNN3 expression in glioma was analyzed based on GEO and TCGA datasets. Gene expression profiling with clinical information was employed to investigate the correlation between clinicopathological features of glioma patients and relative CNN3 expression levels. Survival analysis was conducted using Kaplan-Meier analysis and the Cox proportional-hazards regression model. Gene set enrichment analysis was conducted to select the pathways significantly enriched for CNN3 associations. Correlations between inflammatory activities, immune checkpoint molecules and CNN3 were probed by gene set variation analysis, correlograms, and correlation analysis.
CNN3 was enriched in gliomas, and high expression of CNN3 correlated with worse clinicopathological features and prognosis. Associations between CNN3 and several immune-related pathways were confirmed using a bioinformatics approach. Correlation analysis revealed that CNN3 was associated with inflammatory and immune activities, tumor microenvironment, and immune checkpoint molecules.
Our results indicate that high CNN3 expression levels predict poor prognosis, and CNN3 may be a promising immunotherapy target.
神经胶质瘤是最常见的原发性颅内肿瘤。CALPONIN 3(CNN3)编码的蛋白已被证明是钙调蛋白家族的成员。几项研究强调了其与宫颈癌、结直肠癌、胃癌和结肠癌的关系。我们的研究旨在通过生物信息学方法探讨 CNN3 在神经胶质瘤患者中的预后价值和免疫治疗靶标性。
基于 GEO 和 TCGA 数据集分析 CNN3 在神经胶质瘤中的表达。采用基因表达谱分析与临床信息,研究 CNN3 表达水平与神经胶质瘤患者临床病理特征的相关性。采用 Kaplan-Meier 分析和 Cox 比例风险回归模型进行生存分析。采用基因集富集分析选择与 CNN3 相关的显著富集途径。通过基因集变异分析、相关图和相关性分析探讨炎症活性、免疫检查点分子与 CNN3 的相关性。
CNN3 在神经胶质瘤中富集,高表达与更差的临床病理特征和预后相关。通过生物信息学方法证实了 CNN3 与几种免疫相关途径的关联。相关性分析显示 CNN3 与炎症和免疫活性、肿瘤微环境和免疫检查点分子相关。
我们的结果表明,高 CNN3 表达水平预示着预后不良,CNN3 可能是一种有前途的免疫治疗靶点。