基于B细胞差异基因的肾癌患者分子亚型及预后模型的鉴定与验证：一项多组学分析
Identification and validation of molecular subtypes and prognostic models in patients with kidney cancer based on differential genes based on B cells: a multiomics analysis.
作者信息
Sun Jiaao, Song Shiyan, Ma Qiancheng, Chen Feng, Chen Xiaochi, Wu Guangzhen
机构信息
First Affiliated Hospital of Dalian Medical University, Dalian, China.
出版信息
BMC Cancer. 2025 Mar 28;25(1):559. doi: 10.1186/s12885-025-13923-5.
BACKGROUND
B cells play a variety of complex roles in cancer, both promoting cancer progression and enhancing anti-tumor immune responses, but their mechanism of action in kidney cancer has not been elucidated.
RESULTS
We collected kidney cancer sample data from the GEO database and TCGA database, mapped the single-cell landscape inside kidney cancer tissue, identified 25 B-cell-related genes, and based on this, identified related molecular subtypes of kidney cancer patients, and explored their internal microenvironment characteristics. Finally, we constructed a 6-gene biological prognostic model that can be used to predict survival in patients with renal cancer, and we further validated the predictive performance of the model based on imaging omics. It is worth mentioning that the structural patterns and functional sites of 6 model gene transcription proteins were also mined.
CONCLUSIONS
Overall, we explored for the first time the profound role of B cells in kidney cancer and developed a bio-predictive model based on B cell-related genes, providing scientific guidance for personalized treatment of kidney cancer patients.
背景
B细胞在癌症中发挥着多种复杂作用，既促进癌症进展，又增强抗肿瘤免疫反应，但其在肾癌中的作用机制尚未阐明。
结果
我们从GEO数据库和TCGA数据库收集肾癌样本数据，绘制肾癌组织内的单细胞图谱，鉴定出25个与B细胞相关的基因，并据此鉴定出肾癌患者的相关分子亚型，探索其内部微环境特征。最后，我们构建了一个可用于预测肾癌患者生存的6基因生物学预后模型，并基于影像组学进一步验证了该模型的预测性能。值得一提的是，还挖掘了6个模型基因转录蛋白的结构模式和功能位点。
结论
总体而言，我们首次探索了B细胞在肾癌中的深远作用，并基于B细胞相关基因开发了一种生物预测模型，为肾癌患者的个性化治疗提供科学指导。
Zotero 插件