Cytologic Features of Prostatic Adenocarcinoma in Urine: Comparison with Urothelial Carcinoma.
- Author:
Lucia KIM
1
;
Joo Young SONG
;
Suk Jin CHOI
;
In Suh PARK
;
Jee Young HAN
;
Joon Mee KIM
;
Young Chae CHU
Author Information
1. Department of Pathology, Inha University School of Medicine, Incheon, Korea. ycchu@inha.ac.kr
- Publication Type:Original Article
- Keywords:
Prostatic neoplasms;
Urine;
Cytology;
Carcinoma, transitional cell
- MeSH:
Adenocarcinoma;
Brachyura;
Carcinoma in Situ;
Carcinoma, Transitional Cell;
Cytoplasm;
Eosinophils;
Humans;
Prostate;
Prostatic Neoplasms
- From:Korean Journal of Pathology
2011;45(1):79-86
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: Prostate adenocarcinoma (PACa) cells are rarely identified in urine cytology specimens and might be easily overlooked or misdiagnosed as urothelial neoplasm when clinically unsuspected. METHODS: We reviewed 19 urine cytology specimens obtained from 13 patients with PACa and evaluated the characteristic features discriminating PACa from urothelial carcinoma (UCa). For comparison, 27 cases of high-grade UCa (HGUCa) and 10 cases of urothelial carcinoma in situ (UCis) were also evaluated. RESULTS: The urine cytologic evaluation of PACa revealed clustered cells forming 3-dimensional syncytial fragments with occasional microacinar grouping in a clean background. Most tumor cells were small and uniform with a high nuclear-to-cytoplasmic ratio and indistinct cell borders. The nuclei were round-to-oval and the cytoplasm was scanty and thin. One or more centrally-located prominent nucleoli were characteristically noted in one half of the cases. The nucleoli had a well-defined, large, round and eosinophilic appearance. In four high-grade cases, large tumor cells were encountered and had relatively monotonous cells with smooth-outlined cell clusters, well-defined and thin cytoplasm, and round nuclei with characteristic prominent nucleoli. CONCLUSIONS: Combining the information of prostate cancer and the recognition of cytomorphologic features of PACa will help differentiate PACa from HGUCa and UCis.
