Misc.

Aug, 2015

Simultaneous immunostaining with anti-S100P and anti-SV40 antibodies revealed the origin of BK virus-infected decoy cells in voided urine samples

CYTOPATHOLOGY
  • S. Ariyasu
  • ,
  • H. Yanai
  • ,
  • M. Sato
  • ,
  • Y. Shinno
  • ,
  • K. Taniguchi
  • ,
  • I. Yamadori
  • ,
  • Y. Miki
  • ,
  • Y. Sato
  • ,
  • T. Yoshino
  • ,
  • K. Takahashi

Volume
26
Number
4
First page
250
Last page
255
Language
English
Publishing type
DOI
10.1111/cyt.12213
Publisher
WILEY-BLACKWELL

BackgroundMethods for determining the origin of BK virus (BKV)-infected cells (decoy cells) in clinical urine samples have not been established although they could enhance the diagnosis of BKV infection in immunocompromised patients.
MethodsWe performed simultaneous immunostaining with anti-S100P (a urothelial marker) and anti-SV40 antibodies in 66 clinical urine samples exhibiting SV40 positivity and a decoy-cell appearance on Papanicolaou staining. The clinical voided urine samples included seven cases of renal transplantation, 47 cases of cancer therapy and 12 cases of non-neoplastic disease. SurePath liquid-based cytology was used for the urine samples.
ResultsBKV-infected cells were categorized as SV40(+)/S100P(+) and SV40 (+)/S100p(-). SV40(+)/S100P(-) cells were found in 55 cases (83.4%); nine cases (13.6%) carried both SV40(+)/S100P(-) and SV40(+)/S100P(+) cells. The former were identified as BKV infection in renal tubules and the latter in both the renal tubules and urothelial epithelia. The remaining two cases (3.0%) had only SV40(+)/S100P(+) cells of urothelial origin.
ConclusionSimultaneous immunostaining with anti-S100P and anti-SV40 is a useful method for determining the origin of BKV-infected cells in clinical urine samples from immunocompromised patients such as renal transplantation recipients.

Link information
DOI
https://doi.org/10.1111/cyt.12213
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000358727600007&DestApp=WOS_CPL
ID information
  • DOI : 10.1111/cyt.12213
  • ISSN : 0956-5507
  • eISSN : 1365-2303
  • Web of Science ID : WOS:000358727600007

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