Literature DB >> 28075510

Development of a voided urine assay for detecting prostate cancer non-invasively: a pilot study.

Edouard J Trabulsi1, Sushil K Tripathi2, Leonard Gomella1,3, Charalambos Solomides4, Eric Wickstrom3,5, Mathew L Thakur2,3.   

Abstract

OBJECTIVE: To validate a hypothesis that prostate cancer can be detected non-invasively by a simple and reliable assay by targeting genomic VPAC receptors expressed on malignant prostate cancer cells shed in voided urine. PATIENTS/SUBJECTS AND METHODS: VPAC receptors were targeted with a specific biomolecule, TP4303, developed in our laboratory. With an Institutional Review Board exempt approval of use of de-identified discarded samples, an aliquot of urine collected as a standard of care, from patients presenting to the urology clinic (207 patients, 176 men and 31 women, aged ≥21 years) was cytospun. The cells were fixed and treated with TP4303 and 4,6-diamidino-2-phenylindole (DAPI). The cells were then observed under a microscope and cells with TP4303 orange fluorescence around the blue (DAPI) nucleus were considered 'malignant' and those only with a blue nucleus were regarded as 'normal'. VPAC presence was validated using receptor blocking assay and cell malignancy was confirmed by prostate cancer gene profile examination.
RESULTS: The urine specimens were labelled only with gender and presenting diagnosis, with no personal health identifiers or other clinical data. The assay detected VPAC positive cells in 98.6% of the men with a prostate cancer diagnosis (141), and none of the 10 men with benign prostatic hyperplasia. Of the 56 'normal' patients, 62.5% (35 patients, 10 men and 25 women) were negative for VPAC cells; 19.6% (11, 11 men and no women) had VPAC positive cells; and 17.8% (10, four men and six women) were uninterpretable due to excessive crystals in the urine. Although data are limited, the sensitivity of the assay was 99.3% with a confidence interval (CI) of 96.1-100% and the specificity was 100% with a CI of 69.2-100%. Receptor blocking assay and fluorescence-activated cell sorting (FACS) analyses demonstrated the presence of VPAC receptors and gene profiling examinations confirmed that the cells expressing VPAC receptors were malignant prostate cancer cells.
CONCLUSION: These preliminary data are highly encouraging and warrant further evaluation of the assay to serve as a simple and reliable tool to detect prostate cancer non-invasively.
© 2017 The Authors BJU International © 2017 BJU International Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  #PCSM; #ProstateCancer; imaging prostate cancer; optical imaging; targeting VPAC receptors; urinary assay

Mesh:

Substances:

Year:  2017        PMID: 28075510      PMCID: PMC5444967          DOI: 10.1111/bju.13775

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  25 in total

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2.  VPAC1 Targeted (64)Cu-TP3805 Positron Emission Tomography Imaging of Prostate Cancer: Preliminary Evaluation in Man.

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6.  Baseline prostate-specific antigen compared with median prostate-specific antigen for age group as predictor of prostate cancer risk in men younger than 60 years old.

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9.  PET imaging of VPAC1 expression in experimental and spontaneous prostate cancer.

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10.  Predicting high-grade cancer at ten-core prostate biopsy using four kallikrein markers measured in blood in the ProtecT study.

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  3 in total

Review 1.  VPAC1-targeted PET/CT scan: improved molecular imaging for the diagnosis of prostate cancer using a novel cell surface antigen.

Authors:  Hong Truong; Leonard G Gomella; Mathew L Thakur; Edouard J Trabulsi
Journal:  World J Urol       Date:  2018-03-14       Impact factor: 4.226

2.  Voided urine test to diagnose prostate cancer: Preliminary report.

Authors:  R B Nerli; Shridhar C Ghagane; Saziya R Bidi; Madhukar L Thakur; Leonard Gomella
Journal:  Cytojournal       Date:  2021-10-02       Impact factor: 2.091

3.  Detection of bladder cancer using voided urine sample and by targeting genomic VPAC receptors.

Authors:  Rajendra B Nerli; Shridhar C Ghagane; Shadab Rangrez; Shreya Chandra; Madhukar L Thakur; Leonard Gomella
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  3 in total

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