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泛素特异性肽酶11()作为一种预后和免疫生物标志物的综合全面泛癌分析。

Integrative and comprehensive pan-cancer analysis of ubiquitin specific peptidase 11 () as a prognostic and immunological biomarker.

作者信息

Cui Lijuan, Yang Ling, Lai Boan, Luo Lingzhi, Deng Haoyue, Chen Zhongyi, Wang Zixing

机构信息

Pathology Department, Suining Central Hospital, Suining, Sichuan, 629000, China.

出版信息

Heliyon. 2024 Jul 11;10(14):e34523. doi: 10.1016/j.heliyon.2024.e34523. eCollection 2024 Jul 30.

DOI:10.1016/j.heliyon.2024.e34523
PMID:39114046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11305246/
Abstract

The significance of as a critical regulator in cancer has garnered substantial attention, primarily due to its catalytic activity as a deubiquitinating enzyme. Nonetheless, a thorough evaluation of across various cancer types in pan-cancer studies remains absent. Our analysis integrates data from a variety of sources, including five immunotherapy cohorts, thirty-three cohorts from The Cancer Genome Atlas (TCGA), and sixteen cohorts from the Gene Expression Omnibus (GEO), two of which involve single-cell transcriptomic data. Our findings indicate that aberrant expression is predictive of survival outcomes across various cancer types. The highest frequency of genomic alterations was observed in uterine corpus endometrial carcinoma (UCEC), with single-cell transcriptome analysis revealing significantly higher expression in plasmacytoid dendritic cells and mast cells. Notably, expression was associated with the infiltration levels of CD8 T cells and natural killer (NK) activated cells. Additionally, in the skin cutaneous melanoma (SKCM) phs000452 cohort, patients with higher 1 mRNA levels during immunotherapy experienced a significantly shorter median progression-free survival. emerges as a promising molecular biomarker with significant potential for predicting patient prognosis and immunoreactivity across various cancer types.

摘要

作为癌症中的一种关键调节因子,其重要性已引起了广泛关注,这主要归因于它作为去泛素化酶的催化活性。然而,在泛癌研究中对其在各种癌症类型中的全面评估仍然缺乏。我们的分析整合了来自多种来源的数据,包括五个免疫治疗队列、来自癌症基因组图谱(TCGA)的三十三个队列以及来自基因表达综合数据库(GEO)的十六个队列,其中两个涉及单细胞转录组数据。我们的研究结果表明,异常的表达可预测各种癌症类型的生存结果。在子宫内膜癌(UCEC)中观察到基因组改变的频率最高,单细胞转录组分析显示浆细胞样树突状细胞和肥大细胞中的表达明显更高。值得注意的是,表达与CD8 T细胞和自然杀伤(NK)活化细胞的浸润水平相关。此外,在皮肤黑色素瘤(SKCM)的phs000452队列中,免疫治疗期间1 mRNA水平较高的患者无进展生存期的中位数明显更短。作为一种有前景的分子生物标志物,在预测各种癌症类型患者的预后和免疫反应性方面具有巨大潜力。

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