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Singhal, Udit

0000-0002-3928-9476

Mayo Clinic

Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA.

Citations 3

Modernizing Federal Oversight of Laboratory-Developed Tests — Toward Safety, Validity, and Utility

New England Journal of Medicine | November 4, 2023 | Volume: 389 | Issue: 19 | Pages: 1735-1737

10.1056/nejmp2307585 | PMID 37929827

Comparing Patient-reported Functional Outcomes After Radical Prostatectomy in Historical and Contemporary Practice

Journal of Urology | August 11, 2023 | Volume: 210 | Issue: 5 | Pages: 771-777

10.1097/ju.0000000000003646 | PMID 37566643

Multigene Profiling of Circulating Tumor Cells (CTCs) for Prognostic Assessment in Treatment-Naïve Metastatic Hormone-Sensitive Prostate Cancer (mHSPC)

International Journal of Molecular Sciences | December 21, 2021 | Volume: 23 | Issue: 1 | Pages: 4

10.3390/ijms23010004 | PMID 35008431

The substantial biological heterogeneity of metastatic prostate cancer has hindered the development of personalized therapeutic approaches. Therefore, it is difficult to predict the course of metastatic hormone-sensitive prostate cancer (mHSPC), with some men remaining on first-line androgen deprivation therapy (ADT) for several years while others progress more rapidly. Improving our ability to risk-stratify patients would allow for the optimization of systemic therapies and support the development of stratified prospective clinical trials focused on patients likely to have the greatest potential benefit. Here, we applied a liquid biopsy approach to identify clinically relevant, blood-based prognostic biomarkers in patients with mHSPC. Gene expression indicating the presence of CTCs was greater in CHAARTED high-volume (HV) patients (52% CTChigh) than in low-volume (LV) patients (23% CTChigh; * p = 0.03). HV disease (p = 0.005, q = 0.033) and CTC presence at baseline prior to treatment initiation (p = 0.008, q = 0.033) were found to be independently associated with the risk of nonresponse at 7 months. The pooled gene expression from CTCs of pre-ADT samples found AR, DSG2, KLK3, MDK, and PCA3 as genes predictive of nonresponse. These observations support the utility of liquid biomarker approaches to identify patients with poor initial response. This approach could facilitate more precise treatment intensification in the highest risk patients.