基于 bulk 和单细胞 RNA-seq 数据的综合分析揭示膀胱癌中与细胞分化相关的亚型和评分系统。

Integrated analysis of bulk and single-cell RNA-seq data reveals cell differentiation-related subtypes and a scoring system in bladder cancer.

机构信息

Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.

The First Affiliated Hospital of Nanchang University, Nanchang, China.

出版信息

J Cell Mol Med. 2024 Oct;28(19):e70111. doi: 10.1111/jcmm.70111.

Abstract

Bladder cancer (BLCA) exhibits notable molecular heterogeneity, influencing diverse clinical outcomes. However, the molecular subtypes associated with cell differentiation-related genes (CDR) and their prognostic implications remain unexplored. Analysing two GEO single-cell datasets, we identified genes linked to cell differentiation. Utilizing these genes, we explored distinct molecular subtypes. WGCNA analysis further identified CDR-associated genes, and the CDR score system, constructed using Lasso and Cox regression, was developed. Clinical prognosis and variations in immune-related factors among patient groups were assessed. Core genes were selected and confirmed through in vitro experiments. Two BLCA subtypes related to cell differentiation were identified: Subtype B demonstrated a favourable prognosis, while Subtype A exhibited significant immune cell infiltration. The CDR score system of nine genes revealed a positive correlation between higher scores and a poorer prognosis. The comprehensive analysis uncovered a positive association between CDR genes and M2 macrophages and unresponsiveness to immune therapy. Functional experiments validated that ANXA5 downregulation influences tumour cell migration without affecting proliferation. Our study reveals distinct cell differentiation-related molecular subtypes and introduces the CDR scoring system in BLCA. ANXA5 emerges as a potential therapeutic target, offering promising avenues for personalized treatment strategies.

摘要

膀胱癌(BLCA)表现出显著的分子异质性,影响着不同的临床结局。然而,与细胞分化相关基因(CDR)相关的分子亚型及其预后意义仍未被探索。通过分析两个 GEO 单细胞数据集,我们确定了与细胞分化相关的基因。利用这些基因,我们探索了不同的分子亚型。WGCNA 分析进一步确定了与 CDR 相关的基因,并利用 Lasso 和 Cox 回归构建了 CDR 评分系统。评估了不同患者组的临床预后和免疫相关因素的变化。通过体外实验选择并验证了核心基因。鉴定出两种与细胞分化相关的 BLCA 亚型:B 型具有良好的预后,而 A 型表现出显著的免疫细胞浸润。由九个基因组成的 CDR 评分系统显示,较高的评分与预后不良呈正相关。综合分析揭示了 CDR 基因与 M2 巨噬细胞之间的正相关关系以及对免疫治疗的不响应性。功能实验验证了 ANXA5 的下调会影响肿瘤细胞的迁移,而不会影响增殖。我们的研究揭示了不同的细胞分化相关分子亚型,并在 BLCA 中引入了 CDR 评分系统。ANXA5 作为一个潜在的治疗靶点,为个性化治疗策略提供了有前途的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87f8/11481023/d7197ec1edb9/JCMM-28-e70111-g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索