骨肉瘤是一种影响儿童和年轻人的原发性恶性骨肿瘤。了解骨肉瘤的分子机制对于开发有效的治疗方法至关重要。本研究旨在鉴定核心基因并探讨细胞间通讯在骨肉瘤中的作用。我们使用 GSE87437 和 GSE152048 数据集进行加权相关网络分析 (WGCNA) 并识别共表达模块。分析了steelblue模块中基因的富集生物过程和细胞成分。接下来，我们探讨了 CCSER1 和 LOC101929154 的表达、诊断价值、相关性以及与免疫浸润的关联。最后，我们利用CIBERSORT算法来预测骨肉瘤组织中浸润的免疫细胞。我们的结果鉴定了 44 个共表达模块，其中 Steelblue 模块主要与轴突发育、轴突发生和神经支配相关。 CCSER1和LOC101929154在对术前化疗反应不佳的骨肉瘤组织中显着上调。此外，CCSER1和LOC101929154的表达呈正相关。 CCSER1和LOC101929154的受试者工作特征曲线下面积分别为0.800和0.773。 CCSER1的表达与滤泡辅助T细胞呈负相关，与M0巨噬细胞呈正相关，而LOC101929154与活化的肥大细胞呈负相关。此外，在对化疗反应良好的患者中观察到 CD4 记忆激活 T 细胞水平较低。我们的研究确定了核心基因 CCSER1 和 LOC101929154，并深入了解骨肉瘤的细胞间通讯概况。我们的结果表明，针对 CCSER1、LOC101929154 和 CD4 记忆激活 T 细胞可能是治疗骨肉瘤的一种有前景的策略。© 2024。作者获得波兰科学院植物遗传学研究所的独家许可。

Osteosarcoma is a primary malignant bone tumor that affects children and young adults. Understanding the molecular mechanisms underlying osteosarcoma is critical to develop effective treatments. This study aimed to identify core genes and explore the role of intercellular communication in osteosarcoma. We used GSE87437 and GSE152048 dataset to conduct a weighted correlation network analysis (WGCNA) and identify co-expression modules. The enriched biological processes and cellular components of the genes in the steelblue module were analyzed. Next, we explored the expression, diagnostic value, correlation, and association with immune infiltrate of CCSER1 and LOC101929154. Finally, we utilized CIBERSORT algorithm to predict the infiltrated immune cells in osteosarcoma tissues. Our results identified 44 co-expression modules, and the steelblue module was mainly associated with axon development, axonogenesis, and innervation. CCSER1 and LOC101929154 were significantly upregulated in osteosarcoma tissues with poor response to preoperative chemotherapy. Moreover, the expressions of CCSER1 and LOC101929154 were positively correlated. The area under the receiver operating characteristic curve of CCSER1 and LOC101929154 was 0.800 and 0.773, respectively. The expression of CCSER1 was negatively correlated with follicular helper T cells and positively correlated with M0 macrophages, while LOC101929154 was negatively correlated with activated mast cells. Besides, CD4 memory-activated T cells were observed at lower levels in patients who responded well to chemotherapy. Our study identified core genes CCSER1 and LOC101929154 and provided insight into the intercellular communication profile in osteosarcoma. Our results suggested that targeting CCSER1, LOC101929154, and CD4 memory-activated T cells may be a promising strategy for the treatment of osteosarcoma.© 2024. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.