Prognostic value of CTF1 in glioma and its role in the tumor microenvironment.

IF 1.5 4区 医学 Q4 ONCOLOGY
Translational cancer research Pub Date : 2024-12-31 Epub Date: 2024-12-27 DOI:10.21037/tcr-24-1258
Jiakai He, Jiayin Guo, Pengfei Sun
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引用次数: 0

Abstract

Background: Within the realm of primary brain tumors, specifically glioblastoma (GBM), presents a notable obstacle due to their unfavorable prognosis and differing median survival rates contingent upon tumor grade and subtype. Despite a plethora of research connecting cardiotrophin-1 (CTF1) modifications to a range of illnesses, its correlation with glioma remains uncertain. This study investigated the clinical value of CTF1 in glioma and its potential as a biomarker of the disease.

Methods: Glioma project in The Cancer Genome Atlas (TCGA) database served as the training cohort, and CGGA 325 series in the Chinese Glioma Genome Atlas (CGGA) database served as the external independent validation cohort. First, the difference in the expression level of CTF1 between glioma tissue and normal tissue was analyzed, and the results were verified with the CGGA database. The relationship between CTF1 expression and the prognosis of glioma patients was evaluated using Univariate and Multivariate Cox analysis and the Kaplan-Meier (KM) curve. We used CIBERSOFT to explore the association between CTF1 and immune cell infiltration in GBM, as well as performing gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) analyses. Furthermore, we analyzed the relationship between CTF1 and gene mutations and drug sensitivity. Using Weighted gene co-expression network analysis (WGCNA) analysis, we pinpointed the gene set most correlated with CTF1 and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) gene enrichment analyses to anticipate the pathways that could be influenced by CTF1. Finally, we constructed a nomogram using a multifactorial regression model to further predict patient prognosis.

Results: CTF1 expression was significantly elevated in glioma tissues compared to normal tissues in the TCGA dataset (P<0.001) and was associated with poorer survival in both TCGA and CGGA datasets (P<0.001). Receiver operating characteristic (ROC) analysis demonstrated the diagnostic potential of CTF1, with an area under the curve (AUC) of 0.889 [95% confidence interval (CI): 0.803-0.974] in TCGA and 0.664 (95% CI: 0.599-0.729) in CGGA. High CTF1 levels were correlated with advanced glioma grades, and Cox regression analysis identified CTF1 as an independent risk factor. A nomogram incorporating CTF1 levels, isocitrate dehydrogenase 1 (IDH1) mutation status, O6-methylguanine-DNA methyltransferase (MGMT) methylation status, age, and gender were developed and validated to predict 1- and 2-year survival probabilities. In GBM, drug sensitivity analysis revealed significant associations between CTF1 expression and responsiveness to gemcitabine, dasatinib, and other agents. CTF1 expression was also linked to immune infiltration (monocytes, neutrophils, M0 macrophages) and pathways involved in tumor progression, including IL2_STAT5, P53, and IL6_JAK_STAT3 signaling pathways.

Conclusions: CTF1 could serve as a prognostic marker for glioma. It acts as a predictive indicator and is associated with immune cell infiltration in GBM. These findings provide a foundation for further research into the molecular function of CTF1 and offer new insights for exploring the underlying mechanisms and developing treatments for glioma.

CTF1在胶质瘤中的预后价值及其在肿瘤微环境中的作用。
背景:在原发性脑肿瘤领域,特别是胶质母细胞瘤(GBM),由于其不良预后和不同肿瘤分级和亚型的中位生存率不同,呈现出明显的障碍。尽管大量的研究将心肌营养因子-1 (CTF1)修饰与一系列疾病联系起来,但其与胶质瘤的相关性仍不确定。本研究探讨了CTF1在胶质瘤中的临床价值及其作为该疾病生物标志物的潜力。方法:美国癌症基因组图谱(TCGA)数据库中的胶质瘤项目作为训练队列,中国胶质瘤基因组图谱(CGGA)数据库中的CGGA 325系列作为外部独立验证队列。首先,分析胶质瘤组织与正常组织CTF1表达水平的差异,并用CGGA数据库对结果进行验证。采用单因素和多因素Cox分析及Kaplan-Meier (KM)曲线评价CTF1表达与胶质瘤患者预后的关系。我们利用CIBERSOFT探讨CTF1与GBM免疫细胞浸润之间的关系,并进行基因集富集分析(GSEA)和基因集变异分析(GSVA)分析。进一步分析CTF1与基因突变和药物敏感性的关系。利用加权基因共表达网络分析(WGCNA),我们确定了与CTF1最相关的基因集,并进行了基因本体(GO)和京都基因与基因组百科全书(KEGG)基因富集分析,以预测CTF1可能影响的途径。最后,我们使用多因子回归模型构建了nomogram来进一步预测患者的预后。结果:与正常组织相比,CTF1在胶质瘤组织中的表达在TCGA数据集(PIDH1)突变状态、o6 -甲基鸟嘌呤- dna甲基转移酶(MGMT)甲基化状态、年龄和性别中显著升高,并被开发和验证,以预测1年和2年的生存概率。在GBM中,药物敏感性分析显示CTF1表达与对吉西他滨、达沙替尼和其他药物的反应性之间存在显著关联。CTF1的表达也与免疫浸润(单核细胞、中性粒细胞、M0巨噬细胞)和参与肿瘤进展的途径有关,包括IL2_STAT5、P53和IL6_JAK_STAT3信号通路。结论:CTF1可作为胶质瘤的预后指标。它作为一种预测指标,与GBM的免疫细胞浸润有关。这些发现为进一步研究CTF1的分子功能奠定了基础,并为探索胶质瘤的潜在机制和开发治疗方法提供了新的见解。
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
252
期刊介绍: Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.
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