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Evaluation of sienna cancer diagnostics hTERT antibody on 500 consecutive urinary tract specimens

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Objectives: Telomerase activity can be detected in up to 90% of urothelial carcinomas (UC). Telomerase activity can also be detected in urinary tract cytology (UTC) specimens and indicate an increased risk of UC. We evaluated the performance of a commercially available antibody that putatively binds the telomerase reverse transcriptase (hTERT) subunit on 500 UTC specimens. Study Design: Unstained CytospinTM preparations were created from residual urine specimens and were stained using the anti-hTERT antibody (SCD-A7). Two algorithms were developed for concatenating the hTERT result and cytologic diagnosis: a "no indeterminates algorithm," in which a negative cytology and positive hTERT result are considered positive, and a "high-specificity algorithm," in which a negative cytology and positive hTERT result are considered indeterminate (and thus negative for comparison to the gold standard). Results: The "no indeterminates algorithm" and "high-specificity algorithm" yielded a sensitivity of 60.6 and 52.1%, a specificity of 70.4 and 90.7%, a positive predictive value of 39.1 and 63.8%, and a negative predictive value of 85.0 and 85.8%, respectively. Conclusions: A positive hTERT result may identify a subset of patients with an increased risk of high-grade UC (HGUC) who may otherwise not be closely followed, while a negative hTERT immunocytochemistry result is associated with a reduction in risk for HGUC.

Original languageEnglish
Pages (from-to)302-310
Number of pages9
JournalActa Cytologica
Volume62
Issue number4
DOIs
StatePublished - Jul 1 2018

Bibliographical note

Publisher Copyright:
© 2018 The Author(s) Published by S. Karger AG, Basel.

Funding

The materials and laboratory technologist time required for this study were funded by a research grant awarded to the Johns Hopkins University School of Medicine by Sienna Cancer Diagnostics.

Funders
Johns Hopkins University School of Medicine by Sienna Cancer Diagnostics

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Ancillary test
    • Telomerase
    • Urinary tract
    • Urine cytology

    ASJC Scopus subject areas

    • Pathology and Forensic Medicine
    • Histology

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