Brain tumor, breast cancer, colon cancer, congenital heart disease, heart arrhythmia. See more conditions.
(for at least one location)
Describes the nature of a clinical study. Types include:
The purpose of this study is threefold: the first aim is to use patient-derived fresh tumor tissue to create cell lines and 3D tumor models (i.e. organoids) that preserve the characteristics of the original tumor. The preservation of the original tumor's drug resistance/response profile will be a major focus of this aim. The second aim is to conduct high-throughput testing of various drugs (e.g., virotherapy, immunotherapy) on these cell lines and 3D tumor models. The completion of the second aim is an important step towards developing a platform that can help guide treatment decisions for future patients, based on the drug response observed in the cell lines and 3D tumor models. The third aim is to use pan-omics approaches (i.e., genomics, proteomics, metabolomics) to find markers of drug response based on the results of the high-throughput drug testing on the cell lines and 3D tumor models.
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Open for enrollment
The purpose of this study is to assess the advantages of new image processing software to workflow and productivity. This software has been shown in the literature to improve cancer detection.
The purpose of this registry is to collect detailed clinical, epidemiological and biological information from 5,000 male patients with advanced prostate cancer.
The objectives are to describe the practice patterns of therapeutic agents for treatment of advanced prostate cancer internationally; to assess whether specific treatment patterns are associated with clinically significant adverse events, and evaluate potential interactions with concomitant medications or demographic factors; to identify associations between treatment sequences or combinations and overall survival; to define the patient experience of men with advanced prostate cancer and identify unmet needs in their treatment; and to identify clinical and molecular disease subtypes that predict response to individual treatments, combinations, or sequences.
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