Wu Haixia, Yu Yilin, Wang Wei, Lin Gen, Lin Shaolin, Zhang Jiguang, Yu Zhaojun, Luo Jiewei, Ye Deju, Chi Wu, Lin Xing
Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
J Cancer. 2024 Jul 22;15(15):4985-5006. doi: 10.7150/jca.98044. eCollection 2024.
We aimed to investigate the immunological significance of M2 macrophage-related genes in lung cancer (LC) patients, specifically focusing on constructing a risk score to predict patient prognosis and response to immunotherapy. We developed a novel risk score by identifying and incorporating 12 M2 macrophage-related genes. The risk score was calculated by multiplying the expression levels of risk genes by their respective coefficients. Through comprehensive enrichment analysis, we explored the potential functions distinguishing high- and low-risk groups. Moreover, we examined the relationship between patients in different risk groups and immune infiltration as well as their response to immunotherapy. The single-cell RNA sequencing data were acquired to ascertain the spatial pattern of RNF130 expression. The expression of RNF130 was examined using TCGA datasets and verified by HPA. The qRT-PCR was employed to examine RNF130 expression in LC cells. Finally, experiments were carried out to validate the expression and function of RNF130. Our results indicated that the risk score constructed from 12 M2 macrophage-related genes was an independent prognostic factor. Patients in the high-risk group had a significantly worse prognosis compared to those in the low-risk group. Functional enrichment analysis showed a significant relationship between the risk score and immunity. Furthermore, we explored immune infiltration in different risk groups using seven immune algorithms. The results demonstrated a negative correlation between high-risk group patients and immune infiltration of B cells, CD4+ cells, and CD8+ cells. We further validated these findings using an immunotherapy response database, which revealed that high-risk patients were more likely to exhibit immune evasion and might have poorer immunotherapy outcomes. Additionally, drug sensitivity analysis indicated that patients in the high-risk group were more sensitive to certain chemotherapeutic and targeted drugs than those in the low-risk group. Single-cell analysis indicated that macrophages were the primary site of RNF130 distribution. The results from the TCGA and HPA database demonstrated a trend toward a low expression of RNF130 in LC. Finally, experiments further validated the expression and function of RNF130 in LC cells. The high-risk group constructed with M2 macrophage-related genes in LC was closely associated with poor prognosis, low immune cell infiltration, and poorer response to immunotherapy. This risk score can help differentiate and predict the prognosis and immune status of LC patients, thereby aiding in the development of precise and personalized immunotherapy strategies.
我们旨在研究M2巨噬细胞相关基因在肺癌(LC)患者中的免疫学意义,特别关注构建一个风险评分来预测患者的预后和对免疫治疗的反应。我们通过识别和纳入12个M2巨噬细胞相关基因开发了一种新的风险评分。风险评分通过将风险基因的表达水平与其各自的系数相乘来计算。通过全面的富集分析,我们探索了区分高风险和低风险组的潜在功能。此外,我们研究了不同风险组患者与免疫浸润之间的关系以及他们对免疫治疗的反应。获取单细胞RNA测序数据以确定RNF130表达的空间模式。使用TCGA数据集检测RNF130的表达并通过HPA进行验证。采用qRT-PCR检测LC细胞中RNF130的表达。最后,进行实验验证RNF130的表达和功能。我们的结果表明,由12个M2巨噬细胞相关基因构建的风险评分是一个独立的预后因素。高风险组患者的预后明显比低风险组患者差。功能富集分析表明风险评分与免疫之间存在显著关系。此外,我们使用七种免疫算法探索了不同风险组中的免疫浸润。结果表明高风险组患者与B细胞、CD4 +细胞和CD8 +细胞的免疫浸润呈负相关。我们使用免疫治疗反应数据库进一步验证了这些发现,该数据库显示高风险患者更有可能表现出免疫逃逸,并且免疫治疗结果可能更差。此外,药物敏感性分析表明高风险组患者比低风险组患者对某些化疗药物和靶向药物更敏感。单细胞分析表明巨噬细胞是RNF130分布的主要部位。TCGA和HPA数据库的结果显示LC中RNF130有低表达趋势。最后,实验进一步验证了RNF130在LC细胞中的表达和功能。在LC中用M2巨噬细胞相关基因构建的高风险组与预后不良、免疫细胞浸润低以及对免疫治疗反应较差密切相关。这个风险评分可以帮助区分和预测LC患者的预后和免疫状态,从而有助于制定精确的个性化免疫治疗策略。
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