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Contemporary approach to diagnosis and classification of renal cell carcinoma with mixed histologic features

Contemporary approach to diagnosis and classification of renal cell carcinoma with mixed histologic features

作     者:Kanishka Sircar Priya Rao Eric Jonasch Federico A. Monzon Pheroze Tamboli 

作者机构:Departments of Pathology and the David H. Koch Center for Applied Research of Genitourinary Cancers The University of Texas MD Anderson Cancer CenterHouston TX 77030 USA Departments of Genitourinary Medical Oncology and the David H. Koch Center for Applied Research of Genitourinary Cancers The University of Texas MD Anderson Cancer CenterHouston TX 77030 USA Department of Pathology and Immunology and Department of Human and Molecular Genetics Baylor College of MedicineHouston TX 77030 USA 

出 版 物:《Chinese Journal of Cancer》 (Chinese Journal of Cancer)

年 卷 期:2013年第32卷第6期

页      面:303-311页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:鉴别诊断 肾细胞 癌症 混合 分类 细胞遗传学 肾肿瘤 组织学 

摘      要:Renal cell carcinoma (RCC) is an important contributor to cancer-specific mortality worldwide. Targeted agents that inhibit key subtype-specific signaling pathways have improved survival times and have recently become part of the standard of care for this disease. Accurately diagnosing and classifying RCC on the basis of tumor histology is thus critical. RCC has been traditionally divided into clear-cell and non-clearcell categories, with papillary RCC forming the most common subtype of non-clear-cell RCC. Renal neoplasms with overlapping histologies, such as tumors with mixed clear-cell and papillary features and hybrid renal oncocytic tumors, are increasingly seen in contemporary practice and present a diagnostic challenge with important therapeutic implications. In this review, we discuss the histologic, immunohistochemical, cytogenetic, and clinicopathologic aspects of these differential diagnoses and illustrate how the classification of RCC has evolved to integrate both the tumor s microscopic appearance and its molecular fingerprint.

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