Nikolic Gorana, Zivotic Maja, Cirovic Sanja, Despotovic Sanja, Dundjerovic Dusko, Radojevic Skodric Sanja
Institute of Pathology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Institute for Histology and Embryology "Aleksandar Đ. Kostić", Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Diagnostics (Basel). 2023 Jul 9;13(14):2319. doi: 10.3390/diagnostics13142319.
The precise differentiation of renal cell tumors (RCTs) is sometimes hard to achieve using standard imaging and histopathological methods, especially for those with eosinophilic features. It has been suggested that the vast overabundance of mitochondria, as a well-known hallmark of eosinophilic cytoplasm, and could be a characteristic of distinct tumor types with opposing clinical outcomes. Thus, we intended to explore the associations between mitochondrial distribution patterns in different RCTs, including 43 cell renal cell carcinomas (ccRCCs), 15 papillary renal cell carcinomas (pRCCs), 20 chromophobe renal cell carcinomas (chRCCs), and 18 renal oncocytomas (ROs). Tumor samples were stained with two anti-mitochondrial antibodies (mitochondrial antibody Ab-2, clone MTC02; prohibitin, II-14-10, MA5-12858), applying immunohistochemistry and immunofluorescence to define mitochondrial distribution patterns (coarse scanty, moderate granular, and diffuse granular). Our results revealed significantly different expression patterns among the investigated RCTs ( < 0.001). The majority of ccRCCs exhibited coarse scanty mitochondrial staining, while all chRCCs had moderate granular expression. Nevertheless, all ROs, all pRCCs, and two cases of ccRCC presenting with higher nuclear grade and eosinophilic cytoplasm had diffuse granular mitochondrial expression. Moreover, with increased distribution of mitochondria, the intensity of staining was higher ( < 0.001). Here we present a strategy that utilizes fast and easy mitochondrial detection to differentiate RO from chRCC, as well as other eosinophilic variants of RCC with high accuracy.
使用标准成像和组织病理学方法有时很难实现肾细胞肿瘤(RCT)的精确鉴别,尤其是对于那些具有嗜酸性特征的肿瘤。有人提出,作为嗜酸性细胞质的一个众所周知的标志,线粒体的大量过剩可能是具有相反临床结果的不同肿瘤类型的一个特征。因此,我们旨在探讨不同RCT中线粒体分布模式之间的关联,包括43例透明细胞肾细胞癌(ccRCC)、15例乳头状肾细胞癌(pRCC)、20例嫌色细胞肾细胞癌(chRCC)和18例肾嗜酸细胞瘤(RO)。肿瘤样本用两种抗线粒体抗体(线粒体抗体Ab-2,克隆MTC02;抑制素,II-14-10,MA5-12858)染色,应用免疫组织化学和免疫荧光来确定线粒体分布模式(粗大稀少、中等颗粒状和弥漫颗粒状)。我们的结果显示,在所研究的RCT中,表达模式存在显著差异(<0.001)。大多数ccRCC表现为粗大稀少的线粒体染色,而所有chRCC均有中等颗粒状表达。然而,所有RO、所有pRCC以及两例核分级较高且具有嗜酸性细胞质的ccRCC均有弥漫颗粒状线粒体表达。此外,随着线粒体分布增加,染色强度更高(<0.001)。在此,我们提出一种策略,利用快速简便的线粒体检测方法,以高准确度区分RO与chRCC以及RCC的其他嗜酸性变体。