Immunogenic cell death (ICD) is crucial for cancer development and enhances the effectiveness of immunotherapy by triggering an adaptive immune response. However, the impact of ICD-related genes (ICDRGs) on iCCA progression and patient prognosis remains unclear. iCCA samples from The Cancer Genome Atlas (TCGA) were categorized into two ICD-associated subtypes by consensus clustering, and patient prognosis in these subgroups was assessed. Single-cell RNA sequencing was conducted on viable cells from 8 iCCA patients to understand their transcriptomic profiles, heterogeneity, and immune microenvironment. Principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) analysis were applied to identified 13 cell subpopulations. The gene set enrichment analysis (GSEA) was used to investigate pathway heterogeneity among these subpopulations. CellChat was employed for intercellular communication analysis. Pseudotime trajectory analyses with CytoTRACE and Monocle2 were used to explore differentiation trajectories and functional differences across various states. 30,485 single cells from human iCCA and normal tissues were sequenced, revealing two ICD-associated subtypes. The ICD-low subtype correlates with better clinical outcomes, whereas the ICD-high subtype is linked to increased immune cell infiltration and immune response signaling activity. Distinct biological functions and metabolic characteristics were observed in iCCA between high- and low-ICD groups. High infiltration of ICD-low subtype in iCCA is associated with poor prognosis, potentially through the ANXA-FPR pathway affecting macrophage proliferation and differentiation. Our study constructed an immunogenic cell death-related signature that can promise prognosis prediction and personalized medicine in iCCA. This finding might help guide clinicians for iCCA patients.
Single cell RNA sequencing to identify an Immunogenic cell death related prognostic signature in intrahepatic cholangiocarcinoma.
利用单细胞 RNA 测序技术鉴定肝内胆管癌中与免疫原性细胞死亡相关的预后特征
阅读:8
作者:Sha Bowen, Tong Fei, Shu Qinghua, Wu Miao, Zhao Liang, Zhang Yufeng
| 期刊: | Scientific Reports | 影响因子: | 3.900 |
| 时间: | 2025 | 起止号: | 2025 Jul 2; 15(1):23501 |
| doi: | 10.1038/s41598-025-08602-1 | 研究方向: | 细胞生物学 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
