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Molecular classification of urothelial carcinoma : global mRNA classification versus tumour-cell phenotype classification

机译:尿路上皮癌的分子分类:全局mRNa分类与肿瘤细胞表型分类

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摘要

Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes for almost every major tumour type. A key limitation is that most tumours are communities of both tumour and non-tumour cells. This problem is particularly pertinent for analysis of advanced invasive tumours, which are known to induce major changes and responses in both the tumour and the surrounding tissue. To identify bladder cancer tumour-cell phenotypes and compare classification by tumour-cell phenotype with classification by global gene expression analysis, we analysed 307 advanced bladder cancers (cystectomized) both by genome gene expression analysis and by immunohistochemistry with antibodies for 28 proteins. According to systematic analysis of gene and protein expression data, focusing on key molecular processes, we describe five tumour-cell phenotypes of advanced urothelial carcinoma: urothelial-like, genomically unstable, basal/SCC-like, mesenchymal-like, and small-cell/neuroendocrine-like. We provide molecular pathological definitions for each subtype. Tumours expressing urothelial differentiation factors show inconsistent and abnormal protein expression of terminal differentiation markers, suggesting pseudo-differentiation. Cancers with different tumour-cell phenotypes may co-cluster (converge), and cases with identical tumour-cell phenotypes may cluster apart (diverge), in global mRNA analyses. This divergence/convergence suggests that broad global commonalities related to the invasive process may exist between muscle-invasive tumours regardless of specific tumour-cell phenotype. Hence, there is a systematic disagreement in subtype classification determined by global mRNA profiling and by immunohistochemical profiling at the tumour-cell level. We suggest that a combination of molecular pathology (tumour-cell phenotype) and global mRNA profiling (context) is required for adequate subtype classification of muscle-invasive bladder cancer.
机译:全局mRNA表达分析对于肿瘤的表型分析是有效的,并且已被用于定义几乎每种主要肿瘤类型的分子亚型。一个关键的限制是,大多数肿瘤是肿瘤细胞和非肿瘤细胞的共同体。这个问题与晚期侵袭性肿瘤的分析特别相关,已知该侵袭性肿瘤会在肿瘤和周围组织中引起重大变化和反应。为了鉴定膀胱癌的肿瘤细胞表型,并比较肿瘤细胞表型的分类和通过整体基因表达分析的分类,我们通过基因组基因表达分析和28种抗体的免疫组织化学分析了307例晚期膀胱癌(囊肿切除)。根据对基因和蛋白质表达数据的系统分析,重点关注关键分子过程,我们描述了晚期尿路上皮癌的五种肿瘤细胞表型:尿路上皮样,基因组不稳定,基底/ SCC样,间充质样和小细胞/神经内分泌样的。我们提供每种亚型的分子病理学定义。表达尿路上皮分化因子的肿瘤显示终末分化标志物的蛋白表达不一致和异常,提示假分化。在全局mRNA分析中,具有不同肿瘤细胞表型的癌症可能会共同聚集(融合),而具有相同肿瘤细胞表型的病例可能会聚集(分散)。这种分歧/趋同表明,无论具体的肿瘤细胞表型如何,在肌肉浸润性肿瘤之间可能存在与浸润过程相关的广泛的全球共性。因此,亚型分类中存在系统性分歧,这是由整体mRNA谱分析和肿瘤细胞水平的免疫组织化学谱分析确定的。我们建议对肌肉浸润性膀胱癌进行适当的亚型分类需要结合分子病理学(肿瘤细胞表型)和整体mRNA谱(背景)。

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