Impact of Circulating Tumor Cell–Expressed Prostate-Specific Membrane Antigen and Prostate-Specific Antigen Transcripts in Different Stages of Prostate Cancer

Author:

Cho Hyungseok1ORCID,Byun Seok-Soo2ORCID,Son Nak-Hoon3ORCID,Chung Jae Il4ORCID,Seo Won Ik4ORCID,Lee Chan Ho4ORCID,Morgan Todd M.5ORCID,Han Ki-Ho1ORCID,Chung Jae-Seung6ORCID

Affiliation:

1. 1Department of Nanoscience and Engineering Center for Nano Manufacturing, Inje University, Gimhae, South Korea.

2. 2Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.

3. 3Department of Statistics, Keimyung University, Daegu, South Korea.

4. 4Department of Urology, Busan Paik Hospital, Inje University, Busan, South Korea.

5. 5Department of Urology, University of Michigan, Ann Arbor, Michigan.

6. 6Department of Urology, Haeundae Paik Hospital, Inje University, Busan, South Korea.

Abstract

Abstract Purpose: Prostate-specific membrane antigen (PSMA)–based images, which visually quantify PSMA expression, are used to determine prostate cancer micrometastases. This study evaluated whether a circulating tumor cell (CTC)–based transcript platform, including PSMA mRNA, could help identify potential prognostic markers in prostate cancer. Experimental Design: We prospectively enrolled 21 healthy individuals and 247 patients with prostate cancer [localized prostate cancer (LPCa), n = 94; metastatic hormone–sensitive prostate cancer (mHSPC), n = 44; and metastatic castration-resistant prostate cancer (mCRPC), n = 109]. The mRNA expression of six transcripts [PSMA, prostate-specific antigen (PSA), AR, AR-V7, EpCAM, and KRT 19] from CTCs was measured, and their relationship with biochemical recurrence (BCR) in LPCa and mCRPC progression-free survival (PFS) rate in mHSPC was assessed. PSA-PFS and radiological-PFS were also calculated to identify potential biomarkers for predicting androgen receptor signaling inhibitor (ARSI) and taxane-based chemotherapy resistance in mCRPC. Results: CTC detection rates were 75.5%, 95.3%, and 98.0% for LPCa, mHSPC, and mCRPC, respectively. In LPCa, PSMA [hazard ratio (HR), 3.35; P = 0.028) and PSA mRNA (HR, 1.42; P = 0.047] expressions were associated with BCR. Patients with mHSPC with high PSMA (HR, 4.26; P = 0.020) and PSA mRNA (HR, 3.52; P = 0.042) expressions showed significantly worse mCRPC-PFS rates than those with low expression. Increased PSA and PSMA mRNA expressions were significantly associated with shorter PSA-PFS and radiological PFS in mCPRC, indicating an association with drug resistance. Conclusions: PSMA and PSA mRNA expressions are associated with BCR in LPCa. In advanced prostate cancer, PSMA and PSA mRNA can also predict rapid progression from mHSPC to mCRPC and ARSI or taxane-based chemotherapy resistance.

Funder

National Research Foundation of Korea

Publisher

American Association for Cancer Research (AACR)

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