Quan Yongjun, Wang Mingdong, Zhang Hong, Lu Dan, Ping Hao
Department of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, P.R. China.
Department of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing 100176, P.R. China.
iScience. 2024 Nov 9;27(12):111351. doi: 10.1016/j.isci.2024.111351. eCollection 2024 Dec 20.
Prostate cancer (PCa) exhibits significant intratumor heterogeneity, frequently manifesting as a multifocal disease. This study utilized Visium spatial transcriptomics (ST) to explore transcriptome patterns in PCa regions with varying Gleason scores (GSs). Principal component analysis (PCA) and Louvain clustering analysis revealed transcriptomic classifications aligned with the histology of different GSs. The increasing degree of tumor malignancy during GS progression was validated using inferred copy number variation (inferCNV) analysis. Diffusion pseudotime (DPT) and partition-based graph abstraction (PAGA) analyses predicted the developmental trajectories among distinct clusters. Differentially expressed gene (DEG) analysis through pairwise comparisons of various GSs identified genes associated with GS progression. Validation with The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) dataset confirmed the differential expression of RBM39, a finding further supported by cytological and histological experiments. These findings enhance our understanding of GS evolution through spatial transcriptomics and highlight RBM39 as a gene associated with GS progression.
前列腺癌(PCa)表现出显著的肿瘤内异质性,常表现为多灶性疾病。本研究利用Visium空间转录组学(ST)来探索不同Gleason评分(GS)的PCa区域中的转录组模式。主成分分析(PCA)和Louvain聚类分析揭示了与不同GS组织学一致的转录组分类。使用推断拷贝数变异(inferCNV)分析验证了GS进展过程中肿瘤恶性程度的增加。扩散伪时间(DPT)和基于分区的图抽象(PAGA)分析预测了不同簇之间的发育轨迹。通过对各种GS进行成对比较的差异表达基因(DEG)分析确定了与GS进展相关的基因。使用癌症基因组图谱前列腺腺癌(TCGA-PRAD)数据集进行验证,证实了RBM39的差异表达,细胞学和组织学实验进一步支持了这一发现。这些发现通过空间转录组学增强了我们对GS演变的理解,并突出了RBM39作为与GS进展相关的基因。