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解析前列腺癌:巨噬细胞多样性、分子预后标志物的单细胞见解,以及肽基脯氨酰顺反异构酶 F 的作用。

Dissecting prostate Cancer: Single-Cell insight into Macrophage Diversity, molecular Prognosticators, and the role of Peptidylprolyl Isomerase F.

机构信息

Department of Urology, Fuyang People's Hospital of Anhui Medical University, Fuyang, China.

Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.

出版信息

Int Immunopharmacol. 2024 Sep 10;138:112599. doi: 10.1016/j.intimp.2024.112599. Epub 2024 Jul 2.

Abstract

BACKGROUND

Prostate cancer remains a prominent challenge in oncology, with advanced stages showing poor prognosis. The tumor microenvironment (TME), and particularly tumor-associated macrophages (TAMs), plays a crucial role in disease progression. This study explores the single-cell transcriptomics of prostate cancer, determines macrophage heterogeneity, identifies prognostic gene markers, and assesses the role of PPIF in TAMs.

METHODS

Single-cell RNA sequencing data from the GEO database (GSE176031) and transcriptome data from the TCGA were processed to characterize cell populations and identify prognostic genes in prostate cancer. Macrophage subpopulations were examined through clustering, followed by gene set scoring based on migration, activation, and proliferation. PPIF expression in macrophages was investigated using multiplex immunofluorescence staining on matched prostate cancer and adjacent non-tumoral tissues.

RESULTS

The single-cell analysis identified 9,178 cells, categorized into 10 principal cell types, with macrophages constituting a significant part of the immune microenvironment. Four macrophage subgroups demonstrated distinct functional pathways: phagocytic, immune-regulatory, and proliferative. A total of 39 genes correlated with prostate cancer prognosis were identified, of which 10 carried the most significant prognostic information. Peptidylprolyl Isomerase F (PPIF) expression was significantly higher in TAMs from tumor tissue than normal tissue, indicating its potential regulatory role in the immune microenvironment.

CONCLUSION

The intricate cellular architecture of the prostate cancer TME has been elucidated, with a focus on macrophage heterogeneity and functional specialization. Prognostic genes, including PPIF, were associated with survival outcomes, providing potential therapeutic targets. PPIF's prominent expression in TAMs may serve as a lever in cancer progression, warranting further investigation as a biomarker and a molecule of interest for therapeutic targeting within the prostate cancer milieu.

摘要

背景

前列腺癌仍然是肿瘤学领域的一个突出挑战,晚期前列腺癌预后较差。肿瘤微环境(TME),特别是肿瘤相关巨噬细胞(TAMs),在疾病进展中起着关键作用。本研究探讨了前列腺癌的单细胞转录组学,确定了巨噬细胞异质性,鉴定了预后基因标志物,并评估了 PPIF 在 TAMs 中的作用。

方法

从 GEO 数据库(GSE176031)和 TCGA 的转录组数据中处理单细胞 RNA 测序数据,以描绘前列腺癌中的细胞群体并鉴定预后基因。通过聚类检查巨噬细胞亚群,然后根据迁移、激活和增殖对基因集进行评分。使用匹配的前列腺癌和相邻非肿瘤组织上的多重免疫荧光染色来研究巨噬细胞中的 PPIF 表达。

结果

单细胞分析鉴定了 9178 个细胞,分为 10 个主要细胞类型,其中巨噬细胞构成了免疫微环境的重要组成部分。四个巨噬细胞亚群表现出不同的功能途径:吞噬、免疫调节和增殖。共鉴定出与前列腺癌预后相关的 39 个基因,其中 10 个基因携带最显著的预后信息。肽基脯氨酰异构酶 F(PPIF)在肿瘤组织中的 TAMs 中的表达明显高于正常组织,表明其在免疫微环境中可能具有调节作用。

结论

已经阐明了前列腺癌 TME 的复杂细胞结构,重点关注巨噬细胞异质性和功能专业化。包括 PPIF 在内的预后基因与生存结果相关,为潜在的治疗靶点提供了依据。PPIF 在 TAMs 中的显著表达可能是癌症进展的一个关键因素,值得进一步研究,作为前列腺癌微环境中的一个生物标志物和治疗靶点。

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