Prediction of early prostate cancer recurrence using a liquid biopsy approach.

Authors

Kambiz Rahbar

Kambiz Rahbar

University Hospital Muenster, Muenster, Germany

Kambiz Rahbar , Mark Kidd , Konstantin Egon Seitzer , Andres Jan Schrader , Martin Boegemann , Irvin Mark Modlin

Organizations

University Hospital Muenster, Muenster, Germany, Wren Laboratories LLC, Branford, CT, University Hospital of Santa Maria, Muenster, Germany, University of Muenster Medical Center, Munster, Germany, Münster University Medical Center, Münster, Germany, Yale School of Medicine, New Haven, CT

Research Funding

No funding received
None.

Background: A critical clinical concern after radical prostatectomy for prostate cancer (PCa) is the timely identification of residual disease. Recurrent disease (biochemical recurrence: BCR) develops in approximately 30% of radical prostatectomies within 5 years of surgery. Currently, clinicopathological variables, including pathological tumor stage (pT-stage), Gleason score and PSA, or algorithmic combinatorial calculations (e.g., CAPRA-S) are used to predict BCR. Early and objective prediction of individuals at high risk of BCR would enable stratification of follow-up strategies and facilitate therapeutic therapy. To achieve these goals, we developed a liquid biopsy, the PROSTest, to identify PCa. This is a 27 multigene algorithmic signature with a high sensitivity and specificity (>90%) for PCa detection. We investigated if the PROSTest had utility as a predictive biomarker for BCR. Methods: Prospective recruitment of 60 PCa for radical prostatectomy with assessment of standard pathological, clinical and biomarker (PSA) data. D’Amico Risk scores and CAPRA-S were calculated. Blood was collected for PROSTest measurement pre-surgery. Target genes were amplified using qPCR and scored (0-100) using algorithmic analysis. Pre-surgical PROSTest scores were evaluated as predictors of BCR and compared with standard criteria as well as DR and CAPRA-S scores. Data was evaluated using Mann-Whitney U-test, multiple regression analyses, Kaplan-Meier survival analysis and Cox-proportional modeling. All data: median (range). Results: Consent was obtained in 48 (80%) patients. Median age (range) was 64 (50-82). Gleason was predominantly 7 (85%; 26: 7A, 15: 7B); TNM was primarily T2c (48%) and T3a (32%) with nodal disease evident in 8% and 0% cM1 disease. Resections were R0 (85%) and 7 R1. The median follow-up was 42 days (range: 14-782). Early BCR occurred in 8 (17%) patients. This included 3/7 (43%) of R1 and 5/41 (12%) R0 resections. PSMA imaging confirmed 3 LN recurrences and new visceral (n=1) and bone (n=1) disease. D’Amico Risk scores were mostly “high” (88% with risk score ≥50%) and were not associated with early BCR. CAPRA-S scores were higher in those who developed early BCR (5: 1-9) than in those who did not (2: 0-5). Pre-surgical PROSTest scores were elevated in all (median 59: 15-81). Multiple regression analysis identified only PROSTest score ≥60 and nodal status were associated with BCR. The median Recurrence Free Survival (mRFS) was 89 days compared to undefined in those with baseline PROSTest scores ≥60 (HR: 9.7; 95%CI: 2.16-43.7; p=0.003). No recurrences were identified in those with scores <60. Conclusions: Early biochemical recurrence (within 3 months of surgery) can be accurately predicted by elevated (≥60) pre-surgical PROSTest blood gene expression scores. This suggests the marker could be used as a stratification tool for neoadjuvant therapy, or to guide the frequency of monitoring during follow-up.

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Abstract Details

Meeting

2023 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer - Advanced,Prostate Cancer - Localized

Sub Track

Translational Research, Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 41, 2023 (suppl 6; abstr 386)

DOI

10.1200/JCO.2023.41.6_suppl.386

Abstract #

386

Poster Bd #

P3

Abstract Disclosures