3D Prediction of Patient-Specific Response

NCT ID: NCT03561207

Last Updated: 2023-03-24

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

570 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-06-11

Study Completion Date

2024-12-31

Brief Summary

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This is a prospective, non-randomized, observational registry study evaluating a patient-specific ex vivo 3D (EV3D) assay for drug response using a patient's own biopsy or resected tumor tissue for assessing tissue response to therapy in patients with advanced cancers, including ovarian cancer, high-grade gliomas, and high-grade rare tumors.

Detailed Description

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This protocol defines a prospective, open-label, multi-institutional, non-interventional study for the purpose of examining the Assay's clinical use and potential to impact patient outcomes. This Study will establish a registry of clinical parameters, including clinical response, clinical outcomes, Assay performance and potential utilization across multiple types of advanced cancers in consenting patients who have their tumor tissue tested by the Assay. Physicians may have access to Assay results which which predict therapeutic response to cancer drugs most often prescribed to treat the specified indications. For cancers with standard of care (SOC) cancer drug treatments, the Assay panel tests SOC systemic agents per NCCN guidelines, some of which may include both FDA approved and off-label FDA approved therapies. The Assay currently assesses the most common cancer drugs across multiple tumor types. It requires freshly obtained tumor specimen that has not been previously preserved for traditional histologic analysis. The Registry will focus initially on tumor types and agents which have been analytically validated with the Assay and determined to meet strict laboratory qualifications and standards. The Registry will collect data on a limited number of cancer types to include epithelial ovarian cancer (EOC), high-grade gliomas (HGG) limited to anaplastic astrocytoma (AA) and glioblastoma multiforme (GBM), and high-grade rare tumors (RT).

Conditions

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Advanced Cancer Ovarian Cancer Glioblastoma Multiforme Anaplastic Astrocytoma

Study Design

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Observational Model Type

COHORT

Study Time Perspective

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

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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KIYATEC

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University of Arkansas for Medical Sciences, Winthrop P. Rockefeller Cancer Institute

Little Rock, Arkansas, United States

Site Status

University of California, San Francisco

San Francisco, California, United States

Site Status

Capital Health Institute for Neurosciences

Trenton, New Jersey, United States

Site Status

Roswell Park Cancer Institute

Buffalo, New York, United States

Site Status

Oregon Health & Science University

Portland, Oregon, United States

Site Status

Veterans Administration Portland Health Care System

Portland, Oregon, United States

Site Status

Penn State Health, Milton S. Hershey Medical Center

Hershey, Pennsylvania, United States

Site Status

Prisma Health

Greenville, South Carolina, United States

Site Status

Inova Fairfax Hospital

Falls Church, Virginia, United States

Site Status

Countries

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United States

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.

Reference Type BACKGROUND
PMID: 31371750 (View on PubMed)

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.

Reference Type RESULT
PMID: 34142085 (View on PubMed)

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.

Reference Type RESULT
PMID: 34943910 (View on PubMed)

Related Links

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https://www.nature.com/articles/s41598-019-47578-7

Prospective Validation of an Ex Vivo, Patient-Derived 3D Spheroid Model for Response Predictions in Newly Diagnosed Ovarian Cancer

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207705/pdf/vdab065.pdf

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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