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Patient-Derived Models Tissue Procurement Protocol for the National Cancer Institute (NCI)
This study collects and stores tissue and blood samples from patients with cancer. Collecting and storing samples of tissue and blood from patients with cancer to study in the laboratory may help scientists create new and better models to learn about cancer and to test new cancer drugs.
PRIMARY OBJECTIVE: I. To procure biologic tissues and materials to generate preclinical models of cancer. OUTLINE: This is an observational study. Tumor tissue and blood samples are procured during procedures that are required for the patients' clinical management and will be stored via xenograft (transplant to another species) models or in vitro cell culture for future analysis.
Age
0 - No limit years
Sex
ALL
Healthy Volunteers
No
University of Alabama at Birmingham Cancer Center
Birmingham, Alabama, United States
Mercy Hospital Fort Smith
Fort Smith, Arkansas, United States
PCR Oncology
Arroyo Grande, California, United States
City of Hope Comprehensive Cancer Center
Duarte, California, United States
USC / Norris Comprehensive Cancer Center
Los Angeles, California, United States
UCHealth University of Colorado Hospital
Aurora, Colorado, United States
Smilow Cancer Center/Yale-New Haven Hospital
New Haven, Connecticut, United States
Yale University
New Haven, Connecticut, United States
Delaware Clinical and Laboratory Physicians PA
Newark, Delaware, United States
Helen F Graham Cancer Center
Newark, Delaware, United States
Start Date
May 19, 2015
Primary Completion Date
May 4, 2026
Completion Date
May 4, 2026
Last Updated
March 5, 2026
5,000
ESTIMATED participants
Cytology Specimen Collection Procedure
OTHER
Lead Sponsor
National Cancer Institute LAO
Collaborators
NCT06126276
NCT06311214
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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