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Brief Title: The TIOB - Collection of Patients' Biospecimens for Analysis of Immunological and Molecular Biomarkers.
Official Title: The Texas Immuno-Oncology Biorepository: Collection of Patients' Biospecimens for Analysis of Immunological and Molecular Biomarkers That Predict Benefit/Resistance to Cancer Therapeutics.
Study ID: NCT05371756
Brief Summary: The purpose of the Texas Immuno-Oncology Biorepository (TIOB) is to collect and store well-defined and well-annotated serial biospecimens of tissue, blood, urine and stool in a longitudinal manner from cancer patients who are receiving either standard of care surgical interventions and or FDA approved immunotherapeutics across the largest not-for-profit health system in Texas. Comprehensive clinical and radiological data from a diverse population of patients with different racial, social and ethnic backgrounds matched with serial biospecimens over a patients journey with cancer marks the TIOB as a unique research facility.
Detailed Description: The goal of establishing the Texas Immuno-Oncology Biorepository (TIOB) is to create a research facility that purposely consents patients to collect, catalog, process, store, and analyze biospecimens with well-annotated clinical/radiological data from patients receiving surgical interventions or immunotherapeutics in our combined clinics throughout Texas. Potential types of studies that will be enabled by this resource will include but are not limited to (a) morphological studies including immunohistochemistry, (b) genomic and molecular analysis, including circulating, cell-free DNA, RNA, as well as extracellular vesicles and their cargo, (c) proteomic analysis involving protein isolation, (d) interrogation of circulating immune cells as well as the underlying tumor immune microenvironment, and (e) single-cell and spatial transcriptomics. Correlation of these studies with clinical, treatment outcome, and demographic information will be possible. Translation of multi-omics technologies will be a key feature of the TIOB and data integration strategies including genomics, epigenomics, transcriptomics, proteomics, radiomics, metabolomics and microbiomics will be possible and offer opportunities to improve our understanding of the complex biological interactions that define cancer.
Minimum Age:
Eligible Ages: CHILD, ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: Yes
Baylor Scott & White Research Institute, Dallas, Texas, United States
Name: Ronan Kelly, MD
Affiliation: Baylor Scott & White Research Institute
Role: PRINCIPAL_INVESTIGATOR