3D Prediction of Patient-Specific Response (3D-PREDICT)
3D-PREDICT REGISTRY: 3D Prediction of Patient-specific Response Using Ex Vivo Interrogation of Live Cells From Tumors
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Cecile Rose T. Vibat, PhD
- Phone Number: 864-502-2013
- Email: cecilerose.vibat@kiyatec.com
Study Locations
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Arkansas
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Little Rock, Arkansas, United States, 72205-7199
- University of Arkansas for Medical Sciences, Winthrop P. Rockefeller Cancer Institute
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California
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San Francisco, California, United States, 94143
- University of California, San Francisco
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New Jersey
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Trenton, New Jersey, United States, 08638
- Capital Health Institute for Neurosciences
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New York
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Buffalo, New York, United States, 14203
- Roswell Park Cancer Institute
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Oregon
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Portland, Oregon, United States, 97239
- Oregon Health & Science University
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Portland, Oregon, United States, 97239
- Veterans Administration Portland Health Care System
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Pennsylvania
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Hershey, Pennsylvania, United States, 17033
- Penn State Health, Milton S. Hershey Medical Center
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South Carolina
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Greenville, South Carolina, United States, 29605
- Prisma Health
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Virginia
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Falls Church, Virginia, United States, 22042
- INOVA Fairfax Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age 18 years and older
- 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:
- Inability or refusal of the patient or legal guardian to sign a written informed consent
- 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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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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.
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The EV3D assay uses freshly obtained tumor specimen to predict tissue drug response.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Establish correlation of Assay results with patient outcomes
Time Frame: 2 year
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Compare Assay results to reported patient outcomes
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2 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluate the use of Assay results and the effects on medical decision-making and patient outcomes
Time Frame: 2 year
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Determine potential effect of Assay results on treatment plan
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2 year
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Compare clinical response (progression free survival or time to progression) in patients who receive treatment aligned with Assay results of response versus patients who are not treated aligned with Assay results of response
Time Frame: 2 years
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Compare Assay results to study patient clinical response
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2 years
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Compare clinical response (progression free survival or time to progression) in patients who receive treatment aligned with Assay results of response versus historical response rates
Time Frame: 2 years
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Compare Assay results to historical clinical response rates
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2 years
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Compare clinical outcomes (event free survival and overall survival) in patients who are treated aligned with Assay results versus historical response rates
Time Frame: 2 years
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Compare survival of study patients aligned with Assay results to historical survival rates
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2 years
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Define Assay success across histologic subtypes and classes of anti-cancer compounds
Time Frame: 2 years
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Evaluate Assay success rate
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2 years
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Cecile Rose T. Vibat, PhD, KIYATEC
Publications and helpful links
General Publications
- 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.
Helpful Links
- 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
- A Functional Precision Medicine Pipeline Combines Comparative Transcriptomics and Tumor Organoid Modeling to Identify Bespoke Treatment Strategies for Glioblastoma
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- KIY-REG-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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