A rate-limiting step in the evaluation of molecularly targeted cancer therapeutics is the ability to match the right inhibitor with the right patient. Success requires molecularly profiling of tumor tissue from patients and the discovery of biomarkers that predict sensitivity to specific agents. This project addresses this question in prostate cancer with the focus on inhibitors of the PI3-kinase (PI3K) pathway. The project builds on progress by Drs. Sawyers and Wu during the first 5 years of funding studying mTOR inhibitors and capitalizes on their expertise in developing genetically engineered prostate mouse models and using these models to evaluate signaling pathway inhibitors. Because the concepts in this project are clearly ripe for clinical translation, we view Dr. Sawyers'recent relocation to Memorial Sloan-Kettering Cancer Center (MSKCC) as an asset, providing access to an outstanding clinical prostate cancer group directed by Drs. Howard Scher and Peter Scardino, that will complement the clinical program at UCLA. The project will use three well-characterized genetically engineered prostate cancer models (PTEN, MYC, AKT) to: (i) define and measure pathway- specific, prostate cancer biomarker signatures in tumor tissue and serum using mouse models and human patients and (ii) evaluate PIS kinase pathway inhibitor therapy alone and in combination using hormone- dependent and hormone refractory prostate cancer mouse models. These findings will guide the design and execution of neoadjuvant clinical trials of PI3 kinase pathway inhibitors in prostate cancer, collaboratively at MSKCC and UCLA, and assess the utility of circulating tumor cells (CTCs) as oncogenomic readouts in prostate cancer patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA092131-10
Application #
8291326
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
10
Fiscal Year
2011
Total Cost
$281,515
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Miller, Eric T; Salmasi, Amirali; Reiter, Robert E (2018) Anatomic and Molecular Imaging in Prostate Cancer. Cold Spring Harb Perspect Med 8:
Navarro, Héctor I; Goldstein, Andrew S (2018) HoxB13 mediates AR-V7 activity in prostate cancer. Proc Natl Acad Sci U S A 115:6528-6529
Mitra, Mithun; Ho, Linda D; Coller, Hilary A (2018) An In Vitro Model of Cellular Quiescence in Primary Human Dermal Fibroblasts. Methods Mol Biol 1686:27-47
Li, Jiayun; Speier, William; Ho, King Chung et al. (2018) An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. Comput Med Imaging Graph 69:125-133
Kang, Jung J; Reiter, Robert E; Kummer, Nicolas et al. (2018) Wrong to be Right: Margin Laterality is an Independent Predictor of Biochemical Failure After Radical Prostatectomy. Am J Clin Oncol 41:1-5
Lee, Ha Neul; Mitra, Mithun; Bosompra, Oye et al. (2018) RECK isoforms have opposing effects on cell migration. Mol Biol Cell 29:1825-1838
Aggarwal, Rahul; Huang, Jiaoti; Alumkal, Joshi J et al. (2018) Clinical and Genomic Characterization of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer: A Multi-institutional Prospective Study. J Clin Oncol 36:2492-2503
Cheng, Larry C; Li, Zhen; Graeber, Thomas G et al. (2018) Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer. J Vis Exp :
Park, Jung Wook; Lee, John K; Sheu, Katherine M et al. (2018) Reprogramming normal human epithelial tissues to a common, lethal neuroendocrine cancer lineage. Science 362:91-95
Tan, Nelly; Shen, Luyao; Khoshnoodi, Pooria et al. (2018) Pathological and 3 Tesla Volumetric Magnetic Resonance Imaging Predictors of Biochemical Recurrence after Robotic Assisted Radical Prostatectomy: Correlation with Whole Mount Histopathology. J Urol 199:1218-1223

Showing the most recent 10 out of 339 publications