Pei Jianming, Al-Saleem Tahseen, Uzzo Robert G, Dulaimi Essel, Testa Joseph R, Wei Shuanzeng
Genomics Facility.
Department of Pathology.
Appl Immunohistochem Mol Morphol. 2020 Feb;28(2):123-129. doi: 10.1097/PAI.0000000000000704.
Clear cell renal cell carcinoma (ccRCC) and papillary renal cell carcinoma (pRCC) are the 2 most common RCCs. However, some RCCs can have both clear cell and papillary features, including clear cell papillary RCC (ccpRCC). They can be a diagnostic challenge in daily practice. Accurate diagnosis of these tumors is important for both patient prognosis and appropriate treatment. Fourteen RCCs with papillary architecture, clear cytoplasm and low Fuhrman grade were analyzed by SNP-based chromosome microarray (CMA). Seven cases had pathologic features of ccpRCC, and all had normal genomic profiles except one that had copy neutral loss of heterozygosity (cnLOH) of chromosome 3 and loss of one copy of the X chromosome. The remaining 7 cases also had papillae and clear cytoplasm. Two of these cases showed losses of chromosome 3 which are typically found in ccRCC. One had a gain of chromosome 7, which is commonly seen in pRCC. The remaining 4 had no alterations of chromosome 3 or 7. However, 3 of these 4 had monosomy 8, which are consistent with RCC with monosomy 8. The remaining case had no copy number alterations. This study shows that low-grade RCC with papillae and clear cell phenotype represents a heterogeneous group, including ccpRCC, ccRCC, pRCC, and RCC with monosomy 8. CMA analysis can be useful for the differential diagnosis of these neoplasms.
透明细胞肾细胞癌(ccRCC)和乳头状肾细胞癌(pRCC)是两种最常见的肾细胞癌。然而,一些肾细胞癌可同时具有透明细胞和乳头状特征,包括透明细胞乳头状肾细胞癌(ccpRCC)。在日常实践中,它们可能是诊断难题。准确诊断这些肿瘤对于患者预后和恰当治疗都很重要。我们通过基于单核苷酸多态性的染色体微阵列(CMA)分析了14例具有乳头状结构、透明细胞质和低Fuhrman分级的肾细胞癌。7例具有ccpRCC的病理特征,除1例存在3号染色体杂合性拷贝中性缺失(cnLOH)和一条X染色体拷贝丢失外,其余均具有正常基因组图谱。其余7例也有乳头和透明细胞质。其中2例显示3号染色体缺失,这在ccRCC中较为常见。1例有7号染色体增益,这在pRCC中常见。其余4例3号和7号染色体无改变。然而,这4例中的3例有8号染色体单体性,这与8号染色体单体性肾细胞癌一致。其余1例无拷贝数改变。本研究表明,具有乳头和透明细胞表型的低级别肾细胞癌代表一个异质性群体,包括ccpRCC、ccRCC、pRCC和8号染色体单体性肾细胞癌。CMA分析有助于这些肿瘤的鉴别诊断。