Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
570 participants
OBSERVATIONAL
2018-06-11
2024-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Tumor tissue tested with EV3D Assay
Cancer tissue from multiple sites in the body, to include ovarian, brain, and other rare tumors.
EV3D Assay
The EV3D assay uses freshly obtained tumor specimen to predict tissue drug response.
Interventions
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EV3D Assay
The EV3D assay uses freshly obtained tumor specimen to predict tissue drug response.
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of or suspected diagnosis of EOC, HGG, high-grade RT
* Individual must undergo elective surgery or biopsy to remove tumor tissue
* Consideration as a candidate for systemic therapy with cytotoxic chemotherapy, targeted small molecule inhibitors or immunotherapy
* Eastern Cooperative Oncology Group (ECOG) Performance Status ≤ 3
* Written informed consent in accordance with institutional standards must be obtained from the patient or legal guardian
Exclusion Criteria
* Failure to have surgery or a biopsy as part of routine clinical practice
* Refusal to have the Assay performed on their tissue
* Known active cancer metastatic to the brain except for patients with brain metastases that have been treated and are considered stable.
* Inability or unwillingness to receive chemotherapy treatment beyond surgery
* Any coincidental medical condition that, in the Investigator's opinion, would preclude participation in the study or compromise the patient's ability to give informed consent
18 Years
ALL
No
Sponsors
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KIYATEC
INDUSTRY
Responsible Party
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Locations
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University of Arkansas for Medical Sciences, Winthrop P. Rockefeller Cancer Institute
Little Rock, Arkansas, United States
University of California, San Francisco
San Francisco, California, United States
Capital Health Institute for Neurosciences
Trenton, New Jersey, United States
Roswell Park Cancer Institute
Buffalo, New York, United States
Oregon Health & Science University
Portland, Oregon, United States
Veterans Administration Portland Health Care System
Portland, Oregon, United States
Penn State Health, Milton S. Hershey Medical Center
Hershey, Pennsylvania, United States
Prisma Health
Greenville, South Carolina, United States
Inova Fairfax Hospital
Falls Church, Virginia, United States
Countries
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References
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Shuford S, Wilhelm C, Rayner M, Elrod A, Millard M, Mattingly C, Lotstein A, Smith AM, Guo QJ, O'Donnell L, Elder J, Puls L, Weroha SJ, Hou X, Zanfagnin V, Nick A, Stany MP, Maxwell GL, Conrads T, Sood AK, Orr D, Holmes LM, Gevaert M, Crosswell HE, DesRochers TM. Prospective Validation of an Ex Vivo, Patient-Derived 3D Spheroid Model for Response Predictions in Newly Diagnosed Ovarian Cancer. Sci Rep. 2019 Aug 1;9(1):11153. doi: 10.1038/s41598-019-47578-7.
Shuford S, Lipinski L, Abad A, Smith AM, Rayner M, O'Donnell L, Stuart J, Mechtler LL, Fabiano AJ, Edenfield J, Kanos C, Gardner S, Hodge P, Lynn M, Butowski NA, Han SJ, Redjal N, Crosswell HE, Vibat CRT, Holmes L, Gevaert M, Fenstermaker RA, DesRochers TM. Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay. Neurooncol Adv. 2021 May 7;3(1):vdab065. doi: 10.1093/noajnl/vdab065. eCollection 2021 Jan-Dec.
Reed MR, Lyle AG, De Loose A, Maddukuri L, Learned K, Beale HC, Kephart ET, Cheney A, van den Bout A, Lee MP, Hundley KN, Smith AM, DesRochers TM, Vibat CRT, Gokden M, Salama S, Wardell CP, Eoff RL, Vaske OM, Rodriguez A. A Functional Precision Medicine Pipeline Combines Comparative Transcriptomics and Tumor Organoid Modeling to Identify Bespoke Treatment Strategies for Glioblastoma. Cells. 2021 Dec 2;10(12):3400. doi: 10.3390/cells10123400.
Related Links
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Prospective Validation of an Ex Vivo, Patient-Derived 3D Spheroid Model for Response Predictions in Newly Diagnosed Ovarian Cancer
Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
Other Identifiers
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KIY-REG-001
Identifier Type: -
Identifier Source: org_study_id
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