From the ‡Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.
§Division of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Mol Cell Proteomics. 2018 Sep;17(9):1788-1802. doi: 10.1074/mcp.RA118.000562. Epub 2018 Jun 27.
Cytological examination of urine is the most widely used noninvasive pathologic screen for bladder urothelial carcinoma (BLCA); however, inadequate diagnostic accuracy remains a major challenge. We performed mass spectrometry-based proteomic analysis of urine samples of ten patients with BLCA and ten paired patients with benign urothelial lesion (BUL) to identify ancillary proteomic markers for use in liquid-based cytology (LBC). A total of 4,839 proteins were identified and 112 proteins were confirmed as expressed at significantly different levels between the two groups. We also performed an independent proteomic profiling of tumor tissue samples where we identified 7,916 proteins of which 758 were differentially expressed. Cross-platform comparisons of these data with comparative mRNA expression profiles from The Cancer Genome Atlas identified four putative candidate proteins, AHNAK, EPPK1, MYH14 and OLFM4. To determine their immunocytochemical expression levels in LBC, we examined protein expression data from The Human Protein Atlas and in-house FFPE samples. We further investigated the expression of the four candidate proteins in urine cytology samples from two independent validation cohorts. These analyses revealed AHNAK as a unique intracellular protein differing in immunohistochemical expression and subcellular localization between tumor and non-tumor cells. In conclusion, this study identified a new biomarker, AHNAK, applicable to discrimination between BLCA and BUL by LBC. To our knowledge, the present study provides the first identification of a clinical biomarker for LBC based on in-depth proteomics.
尿液细胞学检查是最广泛应用于膀胱癌(BLCA)的非侵入性病理筛选方法;然而,诊断准确性不足仍然是一个主要挑战。我们对 10 例 BLCA 患者和 10 例配对的良性尿路上皮病变(BUL)患者的尿液样本进行了基于质谱的蛋白质组学分析,以确定用于液体基细胞学(LBC)的辅助蛋白质组学标记物。共鉴定出 4839 种蛋白质,其中 112 种蛋白质在两组之间的表达水平存在显著差异。我们还对肿瘤组织样本进行了独立的蛋白质组学分析,其中鉴定出 7916 种蛋白质,其中 758 种蛋白质表达存在差异。通过与癌症基因组图谱中的比较 mRNA 表达谱对这些数据进行跨平台比较,确定了四个可能的候选蛋白,即 AHNAK、EPPK1、MYH14 和 OLFM4。为了确定它们在 LBC 中的免疫细胞化学表达水平,我们检查了人类蛋白质图谱和内部 FFPE 样本中的蛋白质表达数据。我们进一步研究了这四个候选蛋白在两个独立验证队列的尿液细胞学样本中的表达情况。这些分析表明 AHNAK 是一种独特的细胞内蛋白,在肿瘤和非肿瘤细胞之间的免疫组织化学表达和亚细胞定位上存在差异。总之,本研究通过 LBC 鉴定出一种新的生物标志物 AHNAK,可用于区分 BLCA 和 BUL。据我们所知,本研究首次基于深度蛋白质组学鉴定出用于 LBC 的临床生物标志物。