Epithelioid angiomyolipoma of kidney with atypical nuclear features and intranuclear inclusions on cytology

Diagn Cytopathol. 2011 Apr;39(4):278-82. doi: 10.1002/dc.21408.

Abstract

Described herein are the cytological findings of epithelioid angiomyolipoma (EAML) of the kidney with atypical nuclear features mistaken for renal cell carcinoma (RCC) in a 61-year-old male patient. Aspirates from this large renal mass were cellular and showed epithelioid cell clusters with focally crowded nuclei showing moderate anisonucleosis, small nucleoli, and prominent eosinophilic intranuclear inclusions. Failure to recognize the scanty adipose tissue component and preponderance of epithelioid cells with nuclear pleomorphism lead to a diagnosis of RCC on cytology. On histology, the tumor was essentially composed of epithelioid and spindle cells that showed the typical immunoprofile of an angiomyolipoma and only occasional foci of typical AML were seen. The hilar lymph node was involved in contiguity. However, in view of lack of obvious features of malignancy, the tumor was labeled as EAML with atypical features. Immunocytochemistry on the destained cytology aspirates revealed strong smooth muscle actin staining of all cells. To conclude, EAML can mimic a RCC. In such instances, lack of arborizing vasculature, absence of cytoplasmic fatty vacoulation, crowded nuclei with intranuclear inclusions, and lack of prominent nucleoli along with typical immunophenotype of EAML may assist in the cytology diagnosis.

Publication types

  • Case Reports

MeSH terms

  • Actins / metabolism
  • Angiomyolipoma / diagnosis*
  • Angiomyolipoma / pathology
  • Angiomyolipoma / surgery
  • Biomarkers, Tumor / metabolism
  • Diagnosis, Differential
  • Diagnostic Errors*
  • Epithelioid Cells / pathology*
  • Humans
  • Intranuclear Inclusion Bodies / pathology*
  • Kidney Neoplasms / diagnosis*
  • Kidney Neoplasms / pathology
  • Kidney Neoplasms / surgery
  • Male
  • Middle Aged
  • Mitotic Index
  • Tumor Burden

Substances

  • Actins
  • Biomarkers, Tumor