Ren Runhan, Tyryshkin Kathrin, Graham Charles H, Koti Madhuri, Siemens D Robert
Department of Urology, Queen's University, Kingston, ON, Canada.
Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
Oncotarget. 2017 Aug 9;8(41):70982-71001. doi: 10.18632/oncotarget.20237. eCollection 2017 Sep 19.
Recent efforts on genome wide profiling of muscle invasive bladder cancer (MIBC) have led to its classification into distinct genomic and transcriptomic molecular subtypes that exhibit variability in prognosis. Evolving evidence from recent immunotherapy trials has demonstrated the significance of pre-existing tumour immune profiles that could guide treatment decisions. To identify immune gene expression patterns associated with the molecular subtypes, we performed a comprehensive immune transcriptomic profiling, utilizing transcriptomic data from 347 MIBC cases from The Cancer Genome Atlas (TCGA). To investigate subtype-associated immune gene expression patterns, we assembled 924 immune response genes and specifically those involved in T-cell cytotoxicity and the Type I/II interferon pathways. A set of 157 ranked genes was able to distinguish the four subtypes in an unsupervised analysis in an original training cohort (n=122) and an expanded, validation cohort (n=225). The most common overrepresented pathways distinguishing the four molecular subtypes, included JAK/STAT signaling, Toll-like receptor signaling, interleukin signaling, and T-cell activation. Some of the most enriched biological processes were responses to IFN-γ, antigen processing and presentation, cytokine mediated signaling, hemopoeisis, cell proliferation and cellular defense response in the TCGA cluster IV. Our novel findings provide further insights into the association between genomic subtypes and immune activation in MIBC and may open novel opportunities for their exploitation towards precise treatment with immunotherapy.
近期对肌肉浸润性膀胱癌(MIBC)进行全基因组分析的努力,已使其被分类为不同的基因组和转录组分子亚型,这些亚型在预后方面存在差异。近期免疫治疗试验不断发展的证据表明,预先存在的肿瘤免疫特征对于指导治疗决策具有重要意义。为了确定与分子亚型相关的免疫基因表达模式,我们利用来自癌症基因组图谱(TCGA)的347例MIBC病例的转录组数据,进行了全面的免疫转录组分析。为了研究与亚型相关的免疫基因表达模式,我们汇集了924个免疫反应基因,特别是那些参与T细胞细胞毒性和I/II型干扰素途径的基因。在一个原始训练队列(n = 122)和一个扩大的验证队列(n = 225)中,一组157个排序基因能够在无监督分析中区分这四种亚型。区分这四种分子亚型的最常见的过度表达途径包括JAK/STAT信号传导、Toll样受体信号传导、白细胞介素信号传导和T细胞活化。在TCGA聚类IV中,一些最丰富的生物学过程是对IFN-γ的反应、抗原加工和呈递、细胞因子介导的信号传导、造血、细胞增殖和细胞防御反应。我们的新发现为MIBC中基因组亚型与免疫激活之间的关联提供了进一步的见解,并可能为利用免疫疗法进行精准治疗开辟新的机会。