Novel urine-enriched RNA panel (EPCAM, TTC3, H4C5) to detect prostate cancer and differentiate it from benign prostatic disease.

31 Background: Prostate Cancer (PCa) is one of the leading causes of cancer deaths among men worldwide. Although the Prostate-Specific Antigen (PSA) test is widely used for screening, several advisory groups recommend against PSA because of its non-specific and suboptimal performance. Hence, there is an urgent unmet need for novel and more accurate biomarker panels for PCa detection. Methods: To develop an alternate assay, we collected voided urine (50 ml) from 236 pre- and 198 matched post-prostatectomy men with PCa, 76 benign prostatic hyperplasia (BPH), 21 prostatitis and 107 normal healthy men between the years 40-80. We isolated RNA from exfoliated cells and debris shed into urine, subjected to deep-sequencing of 50 selected genes (adj P value < 0.05 and log FC > 2), and performed advanced machine-learning approaches to discover potential biomarkers in men with PCa. Results: From 50 RNAs initially tested in 20 pooled urine samples, 3 RNAs (EPCAM, TTC3, H4C5) were identified to detect men with PCa robustly (with higher specificity and sensitivity) and distinguished them between pre- and post-prostatectomy in PCa patients. The biomarkers, in combination, outperformed a known urinary RNA marker, PCA3 (area under the curve, 0.96, Figure 1 left). Immunohistochemistry and qPCR analysis in prostate FFPE tissues further confirmed that the origin of these three biomarkers is prostate-specific. In addition, the biomarker panel could separate PCa from benign prostatic disease (area under the curve, 0.89), where both diseases show a higher elevation of PSA. TTC3 and EpCAM gene silencing in PCa cells showed a tumor suppression in vitro and in vivo , suggesting its relevance to PCa development. Conclusions: The urine-based RNA biomarker panel (EPCAM, TTC3, H4C5) is a promising noninvasive diagnostic tool to separate PCa from BPH/prostatitis and healthy individuals; further prospective validation is warranted.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-02-10
DOI
https://doi.org/10.1200/jco.2025.43.5_suppl.31
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
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article

Novel urine-enriched RNA panel (EPCAM, TTC3, H4C5) to detect prostate cancer and differentiate it from benign prostatic disease.

Vipul Patel, Márcio Covas Moschovas, Guru Sonpavde, Bongyong Lee et al.
Journal of Clinical Oncology
RNA modifications and cancer
article

Novel urine-enriched RNA panel (EPCAM, TTC3, H4C5) to detect prostate cancer and differentiate it from benign prostatic disease.

Vipul Patel, Márcio Covas Moschovas, Guru Sonpavde, Bongyong Lee, Ranjan J. Perera, Roshane Perera, Christian P. Pavlovich, Ernest K. Amankwah, Kandarp Joshi, Menglang Yuan
article en

Abstract

31 Background: Prostate Cancer (PCa) is one of the leading causes of cancer deaths among men worldwide. Although the Prostate-Specific Antigen (PSA) test is widely used for screening, several advisory groups recommend against PSA because of its non-specific and suboptimal performance. Hence, there is an urgent unmet need for novel and more accurate biomarker panels for PCa detection. Methods: To develop an alternate assay, we collected voided urine (50 ml) from 236 pre- and 198 matched post-prostatectomy men with PCa, 76 benign prostatic hyperplasia (BPH), 21 prostatitis and 107 normal healthy men between the years 40-80. We isolated RNA from exfoliated cells and debris shed into urine, subjected to deep-sequencing of 50 selected genes (adj P value < 0.05 and log FC > 2), and performed advanced machine-learning approaches to discover potential biomarkers in men with PCa. Results: From 50 RNAs initially tested in 20 pooled urine samples, 3 RNAs (EPCAM, TTC3, H4C5) were identified to detect men with PCa robustly (with higher specificity and sensitivity) and distinguished them between pre- and post-prostatectomy in PCa patients. The biomarkers, in combination, outperformed a known urinary RNA marker, PCA3 (area under the curve, 0.96, Figure 1 left). Immunohistochemistry and qPCR analysis in prostate FFPE tissues further confirmed that the origin of these three biomarkers is prostate-specific. In addition, the biomarker panel could separate PCa from benign prostatic disease (area under the curve, 0.89), where both diseases show a higher elevation of PSA. TTC3 and EpCAM gene silencing in PCa cells showed a tumor suppression in vitro and in vivo , suggesting its relevance to PCa development. Conclusions: The urine-based RNA biomarker panel (EPCAM, TTC3, H4C5) is a promising noninvasive diagnostic tool to separate PCa from BPH/prostatitis and healthy individuals; further prospective validation is warranted.

Journal of Clinical OncologyVol. 43(5_suppl)
Johns Hopkins University (US), Johns Hopkins Medicine (US), AdventHealth Celebration (US), Florida Hospital Cancer Institute (US), Johns Hopkins All Children's Hospital (US)
Openalex Percentile: Top 97%
RNA modifications and cancer
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