Yang Jie, Zhou Fenghai, Yang Xia, Ma Pengcheng, Ma Xiaoling
The First School of Clinical Medicine, Lanzhou University/Department of Reproductive Medicine, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, P.R. China.
The First School of Clinical Medicine, Lanzhou University/Department of Urology, Gansu Provincial Hospital, No. 204 Donggang West Road, Chengguan District, Lanzhou, Gansu, 730000, P.R. China.
Open Med (Wars). 2023 Sep 18;18(1):20230773. doi: 10.1515/med-2023-0773. eCollection 2023.
Bladder urothelial carcinoma (BLCA) is one of the most common cancer-related deaths in the world, along with high mortality. Due to the difficult detection of early symptoms, the treatment for this disease is still dissatisfactory. Thus, the current research hotspot is beginning to focus on the immune microenvironment in this disease, aiming to provide guidance for diagnosis and treatment. In this study, the single-cell RNA sequencing data downloaded from the gene expression omnibus database was used to classify the immune cells of BLCA. And the final seven T-cell-related cell clustering genes associated with BLCA prognosis (, , , , , , and ) were screened out, and then used for constructing the prognostic model against BLCA based on the Cox and LASSO regression analysis. Satisfactorily, the model could efficiently evaluate the overall survival of BLCA and had the potential to be applied for the clinic treatment. Moreover, we also revealed that the difference in immune infiltration levels and gene mutation might account for the diverse prognosis in BLCA patients. In a word, our findings provided a novel insight for designing efficient immunotherapies for BLCA.
膀胱尿路上皮癌（BLCA）是世界上与癌症相关的最常见死亡原因之一，死亡率很高。由于早期症状难以检测，该疾病的治疗仍然不尽人意。因此，当前的研究热点开始聚焦于该疾病的免疫微环境，旨在为诊断和治疗提供指导。在本研究中，从基因表达综合数据库下载的单细胞RNA测序数据用于对BLCA的免疫细胞进行分类。然后筛选出与BLCA预后相关的最终七个T细胞相关细胞聚类基因（、、、、、和），并基于Cox和LASSO回归分析用于构建针对BLCA的预后模型。令人满意的是，该模型可以有效地评估BLCA的总生存期，并具有应用于临床治疗的潜力。此外，我们还揭示了免疫浸润水平和基因突变的差异可能是BLCA患者预后不同的原因。总之，我们的研究结果为设计针对BLCA的有效免疫疗法提供了新的见解。
