Both clinician and patient decisions influence the choices about the type of treatment a patient will receive for localized prostate and kidney (renal) cancer. Matthew Cooperberg, MD, MPH is conducting an ongoing research program to study national prostate cancer management trends, based on data from CaPSURE and other sources. His analyses have looked at changes in cancer risk over time, testing and treatment for prostate cancer, local variation in treatment, and the impact of socio-demographic factors on type of treatment and outcomes. Through the creation of a San Francisco General Hospital (SFGH) prostate cancer patient registry, preliminary analysis show that low socioeconomic status patients are treated for a higher percentage of high-risk disease than patients with a higher socioeconomic status. Using data from CaPSURE, the NCDB, SFGH and in collaboration with the Urologic Diseases in America project he continues to explore these topic in depth.
Prostate Cancer Risk Assessment and Comparative Effectiveness Research
Properly treating prostate cancer requires determining how likely is it that the cancer will progress. Cooperberg led the team that developed the UCSF-CAPRA score, a prostate cancer risk assessment tool that has been validated in several multi-institutional studies in the U.S. and Europe. CAPRA predicts biochemical recurrence-free survival (PSA level does not rise) after radical prostatectomy with an accuracy at least as good as more mathematically complex nomograms that require complex tables or computer software to calculate and other risk assessment instruments. The score is easy to calculate, and can be used to predict an individual's likelihood of metastasis, cancer-specific mortality, and overall mortality after treatment by surgery, radiation therapy, or androgen deprivation therapy.
Cooperberg is currently developing a post-operative extension of the CAPRA score (CAPRA-S). After surgery additional information is available from the pathologist's analysis of the removed prostate. This information can help identify men who will benefit from additional therapy such as radiation and/or hormonal therapy after surgery. CAPRA-S will help in that decision making process. Cooperberg is also collaborating with a group of Japanese scientist to develop a prediction instrument specifically applicable to high-risk patients and patients receiving androgen deprivation therapy (J-CAPRA). As new biomarkers, such as genomic and advanced imaging data, are proven valid by UCSF Urology and collaborating laboratory investigators, Cooperberg plans to integrate the information into the current standard measures of risk and outcomes to improve risk assessment. These findings will help men determine with greater confidence whether active surveillance, surgery, radiation, hormonal therapy, or some combination may be most appropriate for them.
Because accurate risk assessment is essential to compare the effectiveness of different prostate cancer treatments, Cooperberg is currently conducting such comparison studies using CaPSURE data. These data will provide a unique source of insight for future comparative effectiveness research.
Cooperberg is collaborating on a project that will lead to better clinical care for cancer survivors. His efforts have helped to develop UCSF’s Urologic Oncology Database (UODB) into a comprehensive data repository for clinical information about patients treated for prostate, bladder, and renal cancers. With the Urology Department’s information experts Cooperberg is developing an automated process to further augment UODB by automatically transferring data from the UCSF Medical Center’s information system into UODB. In collaboration with UCSF Breast Oncology and a health care web services company Cooperberg is developing an electronic survey for cancer patients. Patients will complete a health history and health-related quality of life (HRQOL) survey prior to their first visit to the clinic and at defined intervals after treatment. This effort is expected to help patients and clinicians track HRQOL outcomes, such as urinary and sexual function, after treatment. The survey will help physicians to identify those patients who may need to be seen in clinic more or less frequently.
Small Renal Masses
In collaboration with the laboratory of John Kurhanewicz, PhD, Cooperberg is conducting a study to see if magnetic resonance spectroscopy (MRS) can be used to non-invasively diagnosis small renal tumors. MRS is a specialized technique associated with magnetic resonance imaging (MRI). MRS equipment can be used to pick up signals from different chemical nuclei within the body. A preliminary laboratory study is using tissue to identify the specific MRS signals associated with a variety of renal tumors. Once renal tumor signals have been identified, Cooperberg plans to test the ability of MRS to accurately analyze renal tumors in patients. This will be done by using MRS imaging technology on patients who are already scheduled for renal cancer surgery prior to their operation. The pre and post surgery information can be analyzed to determine if the information collected non-invasively by the MRS technology matches the histology and grade of the actual tumor.
August 10, 2016 - July 31, 2021 - Improving Prostate Cancer Outcome Prediction Through Noninvasive exRNA Assessment , Principal Investigator . Sponsor: NIH, Sponsor Award ID: R01CA198145
August 8, 2012 - May 31, 2017 - Prospective validation of a multi-marker prostate cancer prediction model , Co-Principal Investigator . Sponsor: NIH, Sponsor Award ID: R01CA160816
Dartmouth College, Hanover, NH, BA, 1991-95, English
Yale University, New Haven, CT, MD, MPH, 1995-00, Medicine, Health Policy