Department of Urology, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, 510000, China.
The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510000, China.
Funct Integr Genomics. 2022 Dec 17;23(1):3. doi: 10.1007/s10142-022-00936-7.
Senescent B cells exhibit reduced antibody production and enhanced proinflammatory cytokine and chemokine secretion, exerting non-negligible functions in antitumor immunity. This study aims to clarify the prognosis value of B cell senescence-related genes in bladder cancer (BLCA). Twelve B cell senescence-related genes were identified based on previous studies and the single-cell RNA sequencing of a BLCA sample from Gene Expression Omnibus (GEO). The Cancer Genome Atlas BLCA cohort was used as the training dataset. Three cohorts from GEO, 35 clinical samples from the local hospital, and in vitro cell experiments were used for validation. The unsupervised clustering based on the 12 genes was associated with the prognosis and the tumor immunity. Through least absolute shrinkage and selection operator regression and random forest algorithm, G protein subunit gamma 11 (GNG11) and inhibitor of DNA binding 1 (ID1) of the 12 genes were determined as significant prognosis predictors and then included in the multivariate Cox regression model. The model was a reliable and robust prognosis biomarker across multiple large-scale cohorts (pooled HR = 1.76, 95% CI = 1.41-2.20). The tight association between the model and BLCA malignant degree was demonstrated in the local cohort (P < 0.01). The model could also predict the immunotherapeutic sensitivity, which was confirmed by the tumor immune dysfunction and exclusion algorithm (P < 0.0001) and IMvigor210 cohort (P < 0.0001). At last, in vitro cell experiments in IM-9 and GM12878 B cells indicated that GNG11 and ID1 were involved in the cellular aging process. Collectively, a B cell senescence-related gene signature was constructed to evaluate the prognosis and immunotherapeutic response in BLCA, providing novel insights into the biological mechanisms.
衰老的 B 细胞表现出抗体产生减少和促炎细胞因子及趋化因子分泌增加,在抗肿瘤免疫中发挥不可忽视的作用。本研究旨在阐明与 B 细胞衰老相关基因在膀胱癌 (BLCA) 中的预后价值。基于既往研究和 BLCA 基因表达综合数据库 (GEO) 中 BLCA 样本的单细胞 RNA 测序,鉴定了 12 个与 B 细胞衰老相关的基因。使用癌症基因组图谱 (TCGA) BLCA 队列作为训练数据集。GEO 的 3 个队列、本地医院的 35 个临床样本和体外细胞实验用于验证。基于这 12 个基因的无监督聚类与预后和肿瘤免疫相关。通过最小绝对收缩和选择算子回归和随机森林算法,确定 G 蛋白亚基 γ 11 (GNG11) 和 DNA 结合抑制因子 1 (ID1) 是 12 个基因中显著的预后预测因子,然后将其纳入多变量 Cox 回归模型。该模型在多个大规模队列中是一种可靠和稳健的预后生物标志物(合并 HR=1.76,95%CI=1.41-2.20)。该模型与本地队列中 BLCA 恶性程度之间的紧密关联得到了证实(P<0.01)。该模型还可以预测免疫治疗的敏感性,这通过肿瘤免疫功能障碍和排除算法(P<0.0001)和 IMvigor210 队列(P<0.0001)得到了证实。最后,在 IM-9 和 GM12878 B 细胞的体外细胞实验表明,GNG11 和 ID1 参与了细胞衰老过程。总之,构建了一个与 B 细胞衰老相关的基因特征,用于评估 BLCA 的预后和免疫治疗反应,为深入了解生物学机制提供了新的视角。