Due to the lapse in government funding, the information on this web site may not be up to date, transactions submitted via the web site may not be processed,
and the agency may not be able to respond to inquiries until appropriations are enacted. Updates regarding government
operating status and resumption of normal operations can be found at opm.gov.
Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government.
Read our disclaimer for details.
We seek to improve the predictive accuracy of the nomogram to predict survival for patients with castrate mets disease through the addition of pathological data, the results of automated machine vision based image analysis of H&E stained tumor tissue developed at Aureon Biosciences,and molecular biomarker studies (25 markers) determined by immunohistochemistry on tissue microarrays prepared from paraffin-embedded tumor.
The analysis for the progressive castrate mets disease population consists of two analytical steps. The first step involved the development of a predictive model of pt survival using supervised multivariate analytical (SMA)techniques [ Time Frame: 2 years ]
Biospecimen Retention: Samples With DNA
In a first analytical step, using only the clinical and pathological variables used in the original clinical mets castrate disease nomogram as inputs, supervised multivariate analytical techniques (SMA) were used to generate a new predictive model for patient survival. A similar approach will then be used to analyze a second group of approximately 223 pts in the state of a rising PSA14 after surgery or radiation therapy treated on a sequential series of IRB approved trials testing conjugate vaccines also consented on IRB protocol 90-40.
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Patients in the first retrospective study (Stage 1) must be part of the 409 patient strong MSKCC cohort with progressive metastatic prostate cancer which was used for the generation of the original nomogram.
For details please see original publication by Smaletz et al. Patients involved in the second retrospective study (Stage 2) must be part of the 223 patients with a rising PSA after surgery or radiation therapy who were treated on conjugate vaccine trials at MSKCC..
For details of excluded patients on the clinical metastases castrate disease study, please see original publication by Smaletz et al.4
• (MSKCC - add reference if publication available for rising PSA patients)