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Integrated single-cell and bulk transcriptomic analysis identifies a novel senescent fibroblast subtype associated with poor prognosis in acral melanoma  期刊论文  

  • 编号:
    8A280C390152D14B6016C85F89D1A5CC
  • 作者:
    Jing, Ming#[1]Xu, Zhen[2];Ruan, Zhenqiang[1];Zhao, Xiangrong(赵向荣)[3]Yang, Jiguang[1];Zhang, Qi[4];Mao, Kelei[4];Gao, Chao*[2]Yan, Xiaodong*[4,5]
  • 语种:
    英文
  • 期刊:
    TRANSLATIONAL ONCOLOGY ISSN:1936-5233 2026 年 72 卷 ; OCT
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  • 关键词:
  • 摘要:

    Background: Acral melanoma (AM) exhibits significant intratumoral heterogeneity, but its tumor microenvironment (TME) and immune regulation remain unclear. This study aims to dissect TME heterogeneity and establish a prognostic model based on key cell subpopulations. Methods: We collected AM single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA). Unsupervised clustering, CellChat, and Scissor analysis were performed to characterize cellular heterogeneity, cell-cell communication, and prognosis-related cell subpopulations. Kaplan-Meier analysis was used to assess the prognostic value of key genes, which were further validated by multiplex immunohistochemistry (mIHC). Results: In AM, Mel_C2, C7, and C9 with high SEMA6A and KIT expression were strongly linked to poor prognosis. We further identified a senescent fibroblast subpopulation (sCAF_CDKN2A) characterized by high fibroblast senescence signature (FSS) scores. Integrating Scissor analysis of fibroblast subtypes with bulk prognostic data, we identified COL3A1, VCAN, and KIT as prognosis-associated genes upregulated in poor-outcome-related fibroblast subsets. Cell-cell communication analysis revealed that sCAF_CDKN2A engages in an immunosuppressive network, interacting with regulatory T cells (Tregs) via MIF signaling and receiving signals from exhausted CD8+ T cells through PPIA-BSG interactions. Using transcription factor expression patterns from these fibroblast subtypes, we constructed a prognostic model that effectively stratified patients into distinct risk groups with significant differences in overall survival (OS). mIHC confirmed significantly higher protein levels of SEMA6A and COL3A1 in tumor tissues compared to matched normal tissues. Conclusions: We established a novel prognostic model for AM and identified sCAF_CDKN2A as an immunosuppressive senescent fibroblast subpopulation driving poor prognosis.

  • 推荐引用方式
    GB/T 7714:
    Jing Ming,Xu Zhen,Ruan Zhenqiang, et al. Integrated single-cell and bulk transcriptomic analysis identifies a novel senescent fibroblast subtype associated with poor prognosis in acral melanoma [J].TRANSLATIONAL ONCOLOGY,2026,72.
  • APA:
    Jing Ming,Xu Zhen,Ruan Zhenqiang,Zhao Xiangrong,&Yan Xiaodong.(2026).Integrated single-cell and bulk transcriptomic analysis identifies a novel senescent fibroblast subtype associated with poor prognosis in acral melanoma .TRANSLATIONAL ONCOLOGY,72.
  • MLA:
    Jing Ming, et al. "Integrated single-cell and bulk transcriptomic analysis identifies a novel senescent fibroblast subtype associated with poor prognosis in acral melanoma" .TRANSLATIONAL ONCOLOGY 72(2026).
  • 入库时间:
    8/27/2026 9:14:10 PM
  • 更新时间:
    8/27/2026 9:14:10 PM
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