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基于蛋白质组学的非肌肉浸润性膀胱癌分类。

Proteome-based classification of Nonmuscle Invasive Bladder Cancer.

机构信息

Biotechnology Division, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.

Mosaiques Diagnostics GmbH, Hannover, Germany.

出版信息

Int J Cancer. 2020 Jan 1;146(1):281-294. doi: 10.1002/ijc.32556. Epub 2019 Jul 26.

DOI:10.1002/ijc.32556
PMID:31286493
Abstract

DNA/RNA-based classification of bladder cancer (BC) supports the existence of multiple molecular subtypes, while investigations at the protein level are scarce. Here, we aimed to investigate if Nonmuscle Invasive Bladder Cancer (NMIBC) can be stratified to biologically meaningful groups based on the proteome. Tissue specimens from 117 patients at primary diagnosis (98 with NMIBC and 19 with MIBC), were processed for high-resolution proteomics analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The proteomics output was subjected to unsupervised consensus clustering, principal component analysis (PCA) and investigation of subtype-specific features, pathways, and gene sets. NMIBC patients were optimally stratified to three NMIBC proteomic subtypes (NPS), differing in size, clinicopathologic and molecular backgrounds: NPS1 (mostly high stage/grade/risk samples) was the smallest in size (17/98) and overexpressed proteins reflective of an immune/inflammatory phenotype, involved in cell proliferation, unfolded protein response and DNA damage response, whereas NPS2 (mixed stage/grade/risk composition) presented with an infiltrated/mesenchymal profile. NPS3 was rich in luminal/differentiation markers, in line with its pathological composition (mostly low stage/grade/risk samples). PCA revealed a close proximity of NPS1 and conversely, remoteness of NPS3 to the proteome of MIBC. Proteins distinguishing these two extreme subtypes were also found to consistently differ at the mRNA levels between high and low-risk subtypes of the UROMOL and LUND cohorts. Collectively, our study identifies three proteomic NMIBC subtypes and following a cross-omics validation in two independent cohorts, shortlists molecular features meriting further investigation for their biomarker or potentially therapeutic value.

摘要

基于 DNA/RNA 的膀胱癌 (BC) 分类支持多种分子亚型的存在,而蛋白质水平的研究则相对较少。在这里,我们旨在研究是否可以根据蛋白质组将非肌肉浸润性膀胱癌 (NMIBC) 分层为具有生物学意义的组。对 117 名初诊患者(98 名 NMIBC 和 19 名 MIBC)的组织标本进行了液相色谱-串联质谱 (LC-MS/MS) 分析的高分辨率蛋白质组学分析。蛋白质组学输出物经过无监督共识聚类、主成分分析 (PCA) 以及亚型特异性特征、途径和基因集的研究。NMIBC 患者被最佳地分层为三种 NMIBC 蛋白质组亚型 (NPS),在大小、临床病理和分子背景上存在差异:NPS1(主要是高分期/分级/风险样本)最小(17/98),表达的蛋白质反映了免疫/炎症表型,参与细胞增殖、未折叠蛋白反应和 DNA 损伤反应,而 NPS2(混合分期/分级/风险组成)呈现浸润/间充质特征。NPS3 富含管腔/分化标志物,与其病理组成一致(主要是低分期/分级/风险样本)。PCA 显示 NPS1 非常接近,相反,NPS3 与 MIBC 的蛋白质组非常远。在 UROMOL 和 LUND 队列的高风险和低风险亚型之间,区分这两种极端亚型的蛋白质在 mRNA 水平上也存在一致性差异。总之,我们的研究确定了三种蛋白质组 NMIBC 亚型,并在两个独立队列中进行了跨组学验证,确定了值得进一步研究的分子特征,以评估其作为生物标志物或潜在治疗价值的潜力。

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