One of the primary clinical challenges in prostate cancer is the management of screen-detected, localized disease. Recent years have seen a dramatic increase in ?active surveillance? (conservative management) of low-risk disease. A corollary has been increased attention to the algorithms used for risk stratification. Although Gleason grade is strongly predictive of oncologic outcome, it is clear that, while some men with low Gleason grade on biopsy do in fact harbor high-risk disease, many men with higher Gleason grade would not in fact experience symptoms of prostate cancer during the natural course of their life even if left untreated. We have shown that a statistical model based on a panel of kallikrein markers in blood ? total PSA, free PSA, intact PSA and human kallikrein 2 (hK2) ? strongly predicts risk of high-grade (Gleason score ?7) cancer on biopsy. The panel has been validated in multiple studies involving close to 15,000 men. We have also demonstrated that the panel is highly predictive of the long-term risk of distant metastasis in men followed for many years without screening. We propose to evaluate whether the clinical role of the panel could expand from decisions about diagnostic biopsy to those concerning immediate treatment decision-making and active surveillance protocols. We will first use data from five independent cohorts, three from Europe and two from the US, to determine whether the panel of four kallikrein markers can predict either unfavorable pathology at radical prostatectomy or post-treatment oncologic outcomes such as metastases. If so, the panel ? data from which may often be available from the diagnostic biopsy ? could be used to help decisions about treatment versus conservative management.
Our second aim i s to determine whether the panel of markers can predict the result of active surveillance biopsy. If so, using the panel to avoid biopsy in men at low risk of progression would decrease the number of biopsies required by active surveillance protocols, reducing morbidity and potentially increasing the acceptability of active surveillance as a management strategy. We also aim to determine whether the properties of the panel could be improved by either adding a novel marker, microseminoprotein-? (MSMB) or modifying measured marker levels in the light of marker-related single-nucleotide polymorphisms (SNPs.)

Public Health Relevance

Many men with prostate cancer do not need to be treated immediately and can be managed by a program of careful observation known as ?active surveillance.? The ?four-kallikrein panel? of blood markers is known to predict the risk that a man has aggressive prostate cancer, and therefore whether he should receive a prostate biopsy. In this proposal, we will explore whether the panel might also be used to determine whether a man should be managed by active surveillance, and if so, how often he should be biopsied to determine disease progression.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA092629-20
Application #
9998864
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2001-09-14
Project End
2021-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
20
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065
Han, SoHyun; Stoyanova, Radka; Lee, Hansol et al. (2018) Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity. Magn Reson Med 79:1736-1744
Vickers, Andrew J; Steineck, Gunnar (2018) Prognosis, Effect Modification, and Mediation. Eur Urol 74:243-245
Kinsella, Netty; Helleman, Jozien; Bruinsma, Sophie et al. (2018) Active surveillance for prostate cancer: a systematic review of contemporary worldwide practices. Transl Androl Urol 7:83-97
Hieronymus, Haley; Murali, Rajmohan; Tin, Amy et al. (2018) Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death. Elife 7:
Scher, Howard I; Graf, Ryon P; Schreiber, Nicole A et al. (2018) Assessment of the Validity of Nuclear-Localized Androgen Receptor Splice Variant 7 in Circulating Tumor Cells as a Predictive Biomarker for Castration-Resistant Prostate Cancer. JAMA Oncol 4:1179-1186
Bielski, Craig M; Zehir, Ahmet; Penson, Alexander V et al. (2018) Genome doubling shapes the evolution and prognosis of advanced cancers. Nat Genet 50:1189-1195
Luo, Jun; Attard, Gerhardt; Balk, Steven P et al. (2018) Role of Androgen Receptor Variants in Prostate Cancer: Report from the 2017 Mission Androgen Receptor Variants Meeting. Eur Urol 73:715-723
Settleman, Jeffrey; Sawyers, Charles L; Hunter, Tony (2018) Challenges in validating candidate therapeutic targets in cancer. Elife 7:
Miyazawa, Miki; Subbaramaiah, Kotha; Bhardwaj, Priya et al. (2018) Pioglitazone Inhibits Periprostatic White Adipose Tissue Inflammation in Obese Mice. Cancer Prev Res (Phila) 11:215-226
Graham, Laura; Banda, Kalyan; Torres, Alba et al. (2018) A phase II study of the dual mTOR inhibitor MLN0128 in patients with metastatic castration resistant prostate cancer. Invest New Drugs 36:458-467

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