Prostate cancer remains the most common cancer overall and the second leading cause of cancer related death in men. In comparison to other cancers, prostate cancer has a long natural history and is frequently indolent (i.e., it does not progress to clinically significant disease before the patient dies of natural causes. In contrast, recurrence is seen in as many as 30% of treated patients. The findings highlight the need to develop prognostic markers beyond PSA and tumor grade in order to better distinguish patients who will most likely benefit from treatment from those for whom treatment should be deferred. We have shown that MRI and MRSI combined with clinical findings of PSA and Gleason score significantly improve the accuracy for predicting tumor stage and aggressiveness. In this competitive renewal, we will build on these findings with the objective of optimizing the use of MRI/MRSI for accurately identifying indolent prostate cancers. Our approach will be to correlate MR findings preoperatively both with patient outcomes and with the expression of key molecular markers known to be important in prostate cancer biology: Ki-67, PTEN, Akt, p27/Kip1, Bax, and Bcl-2. We also intend to use high resolution magic angle spinning spectroscopy on the operative specimen to obtain idealized spectra for non-destructive tumor analysis. The proposed work will test the hypothesis that a low risk localized PCa cohort identified by both clinical parameters and optimized MRI/MRSI will have better long-term outcome than a similar cohort identified by clinical parameters alone.
The specific aims of the study are:
Specific Aim 1 : Evaluate measures of accuracy of MRI/MRSI in the prediction of indolent cancer, using step section pathology as a standard of reference.
Specific Aim 2 : Correlate the MRI/MRSI features of low-risk localized PCa with the molecular features of the disease assessed in radical prostatectomy specimens and determine whether noninvasive MRI/MRSI can further differentiate between less aggressive variants of Gleason score 6 (pattern 3+3) cancer that are appropriate for a deferred therapy protocol and more aggressive variants of Gleason score 6 cancer that are more appropriate for definitive therapy.
Specific Aim 3 A: Compare patient outcome (disease progression-rate) between definitive treatment and deferred therapy in low-risk localized PCa patients identified by combined NCCN guidelines and MRI/MRSI Specific Aim 3B: Determine the incremental value of combined NCCN guidelines and MRI/MRSI to a historical literature data set in the selection of patients for deferred therapy.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA076423-08
Application #
7233946
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Menkens, Anne E
Project Start
1999-07-07
Project End
2010-03-31
Budget Start
2007-05-01
Budget End
2008-03-31
Support Year
8
Fiscal Year
2007
Total Cost
$272,693
Indirect Cost
Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065
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Zakian, Kristen L; Hatfield, William; Aras, Omer et al. (2016) Prostate MRSI predicts outcome in radical prostatectomy patients. Magn Reson Imaging 34:674-81
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Barrett, Tristan; Vargas, Hebert Alberto; Akin, Oguz et al. (2012) Value of the hemorrhage exclusion sign on T1-weighted prostate MR images for the detection of prostate cancer. Radiology 263:751-7
Vargas, Hebert Alberto; Akin, Oguz; Franiel, Tobias et al. (2012) Normal central zone of the prostate and central zone involvement by prostate cancer: clinical and MR imaging implications. Radiology 262:894-902
Mazaheri, Yousef; Vargas, Hebert Alberto; Akin, Oguz et al. (2012) Reducing the influence of b-value selection on diffusion-weighted imaging of the prostate: evaluation of a revised monoexponential model within a clinical setting. J Magn Reson Imaging 35:660-8
Wassberg, Cecilia; Akin, Oguz; Vargas, Hebert Alberto et al. (2012) The incremental value of contrast-enhanced MRI in the detection of biopsy-proven local recurrence of prostate cancer after radical prostatectomy: effect of reader experience. AJR Am J Roentgenol 199:360-6
Vargas, Hebert Alberto; Akin, Oguz; Afaq, Asim et al. (2012) Magnetic resonance imaging for predicting prostate biopsy findings in patients considered for active surveillance of clinically low risk prostate cancer. J Urol 188:1732-8
Shukla-Dave, Amita; Hricak, Hedvig; Akin, Oguz et al. (2012) Preoperative nomograms incorporating magnetic resonance imaging and spectroscopy for prediction of insignificant prostate cancer. BJU Int 109:1315-22

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