A Novel Modality Enables New Evidence-Based Individual Risk Stratification That Can Potentially Lead to Decisive Management and Treatment Decisions in Prostate Cancer

Author:

Weksler Meir1,Simon Avi1,Lenkinski Robert E.2,Landsman Hagar3,Matzkin Haim4,Mabjeesh Nicola5,Leibovitch Ilan6

Affiliation:

1. R&D Department, Prosight Ltd., Bay-Yam 5697439, Israel

2. Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA

3. Physics Department, Weizmann Institute of Science, Rehovot 7610001, Israel

4. Department of Urology, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel

5. Urology Department, Soroka Medical Center, Beer Sheva 84101, Israel

6. Urology Department, Meir Medical Center, Kfar Sava 4428164, Israel

Abstract

A key step in providing management/treatment options to men with suspected prostate cancer (PCa) is categorizing the risk in terms of the presence of benign, low-risk, intermediate-risk, or high-risk disease. Our novel modality brings new evidence, based on the long-known hallmark characteristic of PCa—decreased zinc (Zn), which is the most direct metabolic sign of malignancy and its aggressiveness. To date, this approach has not been adopted for clinical use for a number of reasons that are described in this article, and which have been addressed by our approach. Zn has to be measured on fresh samples, prior to fixating in formalin; therefore, samples have to be scanned during the biopsy session. As Zn depletion occurs in the glands where the tumors develop, estimation of the glands’ levels in the scanned tissue, along with their compactness, are essential for accurate diagnosis. Combined with the Zn depletion, this facilitates a reliable assessment of disease aggressiveness. Data gathered in the clinical study described here indicate that, in addition to improving the biopsy quality by real-time interactive guidance, a malignancy score can now be established for the entire prostate, allowing higher granularity personalized risk stratification and more decisive treatment decisions for all PCa patients.

Funder

TNUFA - Israeli Israel Innovation Authority (IIA) Grant

Publisher

MDPI AG

Subject

Clinical Biochemistry

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