Norollahi Seyedeh Elham, Morovat Saman, Yousefzadeh-Chabok Shahrokh, Yousefi Bahman, Nejatifar Fatemeh, Evazalipour Mehdi, Rashidy-Pour Ali, Samadani Ali Akbar
Cancer Research Center and Department of Immunology, Semnan University of Medical Sciences, Semnan, Iran.
Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Asian Pac J Cancer Prev. 2024 Dec 1;25(12):4237-4245. doi: 10.31557/APJCP.2024.25.12.4237.
One of the most malignant types of tumors with a remarkable ability of recurrence rate and aggressiveness is glioblastoma multiforme(GBM). Anyway, according to the restricted remedies accessible for the treatment of this serious tumor, there is no confident and stable therapeutic strategy. Notably, bioinformatics analysis can detect many effective genes in the diagnosis and treatment of GBM.
Using large-scale data analysis and bioinformatics, we examined TLR2's role in GBM. We analyzed gene expression datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) to recognize disparately expressed diverse genes (DEGs) associated with TLR2. A protein-protein interaction (PPI) network was constructed to reveal potential molecular partners and functional enrichment analysis elucidated biological activities. In this account, the correlation and association between TLR2 expression and the infiltration of immune cells within the tumor microenvironment were investigated. Results: Our analysis demonstrated significant differential gene expression patterns in GBM, especially TLR2. The PPI network highlighted interactions with key proteins in pathways related to proliferation, invasion, immune evasion, and angiogenesis. Functional enrichment analysis indicated TLR2's involvement in critical signaling processes, including toll-like receptor signaling. Interestingly, TLR2 expression was strongly associated with the infiltration of immune cells, proposing its performance and function in the tumor microenvironment.
Understanding TLR2's functions in glioblastoma and other cancers is vital for developing targeted therapies and immunomodulatory interventions, potentially improving clinical outcomes for patients facing these formidable diseases. Further validation and functional studies are needed to confirm TLR2's role in cancer and expand the prospects for combination therapies.
多形性胶质母细胞瘤（GBM）是最恶性的肿瘤类型之一，具有显著的复发率和侵袭性。然而，鉴于针对这种严重肿瘤的治疗方法有限，目前尚无可靠且稳定的治疗策略。值得注意的是，生物信息学分析可在GBM的诊断和治疗中检测到许多有效基因。
我们运用大规模数据分析和生物信息学方法，研究了TLR2在GBM中的作用。我们分析了来自基因表达综合数据库（GEO）和癌症基因组图谱（TCGA）的基因表达数据集，以识别与TLR2相关的差异表达基因（DEGs）。构建了蛋白质-蛋白质相互作用（PPI）网络以揭示潜在的分子伙伴，功能富集分析阐明了生物学活性。在此过程中，研究了TLR2表达与肿瘤微环境中免疫细胞浸润之间的相关性和关联性。
我们的分析表明GBM中存在显著的差异基因表达模式，尤其是TLR2。PPI网络突出了与增殖、侵袭、免疫逃逸和血管生成相关途径中的关键蛋白的相互作用。功能富集分析表明TLR2参与了关键信号传导过程，包括Toll样受体信号传导。有趣的是，TLR2表达与免疫细胞浸润密切相关，提示其在肿瘤微环境中的作用和功能。
了解TLR2在胶质母细胞瘤和其他癌症中的功能对于开发靶向治疗和免疫调节干预措施至关重要，这可能改善面临这些严重疾病的患者的临床结局。需要进一步的验证和功能研究来证实TLR2在癌症中的作用，并拓展联合治疗的前景。
