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Ultrasound and Biomarker Tests of Bladder Cancer Invasiveness
This research trial studies two types of tests, an ultrasound test and a biomarker test, to see how well they predict how aggressive (invasive) bladder cancer is in samples from patients with bladder cancer. The aggressiveness of a tumor means how likely it is to invade the body and spread. The ultrasound test uses a fluorescent dye and stimulates cells under a microscope to see how they respond. This may allow doctors to predict how likely the cancer cells are to spread in the body. The biomarker test uses laboratory testing of samples from patients to study genes and other molecules that may predict the cancer invasiveness. Comparing two different ways of predicting cancer aggressiveness may help doctors identify how well they work, and may eventually allow doctors to predict aggressiveness without needing to take a biopsy.
PRIMARY OBJECTIVES: I. To establish an association between bladder cancer disease stage and the level of invasiveness as measured by a novel ultrasound assay. II. To establish an association between bladder cancer disease stage and expression of novel invasiveness biomarkers related to the RE1-silencing transcription factor (REST) gene. OUTLINE: Previously collected tumor tissue samples, bladder washings, and urine cells are stained with calcium dye, washed and immersed in external buffer solution, and then transferred to the ultrasound imaging system. Tissue, bladder wash cells and urine cells samples are also analyzed for biomarkers of invasiveness derived from or related to REST gene via quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), Western blot, and fluorescence in situ hybridization (FISH).
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
USC / Norris Comprehensive Cancer Center
Los Angeles, California, United States
Start Date
September 16, 2015
Primary Completion Date
February 22, 2019
Completion Date
February 22, 2019
Last Updated
July 8, 2019
4
ACTUAL participants
Laboratory Biomarker Analysis
OTHER
Lead Sponsor
University of Southern California
Collaborators
Data Source & Attribution
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