The first genomic landscape study of metastatic castration-resistant prostate cancer (mCRPC) found a high frequency of mutation and/or deletion of TP53 (>50% of mCRPC patients) relative to primary prostate cancers (<5%). Changes in androgen receptor (AR), PTEN, and RB seen in other profiling efforts were also observed. We have recently found that TP53 loss, particularly in combination with RB pathway dysfunction, confers resistance to enzalutamide in prostate cancer cell line and xenograft models. Remarkably, this resistance occurs in the absence of restored AR pathway signaling. Instead, these drug-resistant cells display reduced expression of luminal epithelial markers (CK8, NKX3.1, AR) and acquire expression of basal epithelial and neuroendocrine markers (CK5, p63, synaptophysin). This profile of lineage plasticity is heterogeneous across the population of cells with TP53 and RB loss and reversible upon restoration of TP53 function. Similar to the well-documented effects of TP53 and RB disruption in enhancing the efficiency of generating induced pluripotent stem cells (iPSC) from fibroblasts using ?Yamanaka? transcription factors, we postulate that loss of TP53/RB pathway function creates a state of increased plasticity that allows luminal prostate cancer cells to escape the growth suppressive effects of castration therapy by assuming characteristics of basal epithelial or neuroendocrine cells which no longer depend on AR signaling for growth. Parallel studies of CRPC patients, using circulating tumor cells (CTCs) from phlebotomy samples obtained from men prior to a change in systemic therapy in the 1st, 2nd and/or 3rd line setting, reveal quantifiable differences in morphological and molecular tumor heterogeneity within the same patient. Using the validated Epic platform, which enables serial characterization of multiple phenotypic and molecular features including morphology, protein expression, and genotype, we developed a measure of CTC heterogeneity within an individual patient that reveals some patients to have primarily clonal, homogeneous CTCs and others to have a markedly heterogeneous collection of CTCs. Our preliminary results show that a high CTC heterogeneity index is correlated with worse treatment response to AR-targeted drugs (abiraterone, enzalutamide) but not to taxanes (docetaxel, cabazitaxel). The primary goal of this project will leverage our finding, from preclinical prostate model systems, that TP53 and RB loss promote a state of epithelial lineage plasticity and resistance to AR therapy, in order to ask if TP53 and RB are molecular determinants of the high CTC heterogeneity observed in patients. The combination of mechanistic (Aim 1) and correlative clinical (Aim 2) studies in this project is designed to enable development of biomarkers that identify patients destined for a poor response to AR-targeted therapies.

Public Health Relevance

Recent genomics studies have shown that men with castration-resistant metastatic prostate cancer harbor an unexpectedly high frequency of alterations in the tumor suppressor genes TP53 and RB. In laboratory studies, we have found that these alterations lead tumor cells to change their identity and thereby become resistant to anticancer therapies that target the androgen receptor. In this project, we will attempt to confirm the role of these two genes and others in the increased cellular variety of tumor cells circulating in the blood of patients with prostate cancer. We hope to develop a method to predict which patients are unlikely to respond to androgen receptor-targeted therapies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA092629-20
Application #
9998861
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
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
Vickers, Andrew J; Steineck, Gunnar (2018) Prognosis, Effect Modification, and Mediation. Eur Urol 74:243-245
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
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:
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
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
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
Settleman, Jeffrey; Sawyers, Charles L; Hunter, Tony (2018) Challenges in validating candidate therapeutic targets in cancer. Elife 7:
Roobol, Monique J; Carlsson, Sigrid V (2018) The ERSPC Study: Quality Takes Time and Perseverance. Clin Chem :

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