Measuring the Impact of Onco4D® Guidance on Chemotherapy Selection and Outcomes

NCT ID: NCT04891952

Last Updated: 2021-05-19

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

NOT_YET_RECRUITING

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-08-01

Study Completion Date

2031-08-01

Brief Summary

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Millions of cancer patients each year receive chemotherapy causing adverse side effects that lower quality of life without prolonging it. Reliable identification of ineffective therapies can eliminate needless human suffering while increasing overall probability of positive response to treatment. Chemotherapy resistance profiling entails testing whether a patient exhibits strong resistance to a therapy prior to its final selection by the oncologist.

The Onco4D® chemotherapy selection assay has recently emerged as means to measure the response of intact tumor biopsies to applied therapeutics by using Doppler detection of infrared light scattered from intracellular motions inside living tissue (known as Motility Contrast Tomography or MCT). Several studies have shown this phenotypic profiling technique to offer high accuracy predicting response and resistance to chemotherapy\[1-5\].

Detailed Description

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SPECIFIC AIMS The scope of this study is to measure the impact of Onco4D® therapy guidance on treatment and outcomes among cancer patients for whom the test is ordered.

PRIMARY ENDPOINT: Difference in pathologic complete response (pCR) to neoadjuvant chemotherapy among recipients of Onco4D® guided therapy as compared to baseline unguided pCR rates.

SECONDARY ENDPOINTS: Difference in distribution of chemotherapy regimens among recipients of Onco4D® guided therapy as compared to baseline unguided regimens, adjuvant chemotherapy response, 2 and 5 year event free survival (EFS), pre- and post-chemotherapy cancer staging scores (TNM, ACJJ, RCB, etc..), radiologic chemotherapy response, additional exploratory endpoints as appropriate

RESEARCH DESIGN AND METHODS

STUDY DESIGN: Non-randomized multi-center prospective outcomes registry

PARTICIPANT IDENTIFICATION: Cancer patients of all races and ethnic groups are eligible for this registry. All patients treated at participating sites and meeting the inclusion criteria will be offered the opportunity to participate in the registry. Potential participants will be presented with the purpose of the study and the potential risks and benefits of participation. Participants will be considered registered to the study upon receipt of a signed informed consent statement. Registration information will be maintained by the Principal Investigator. All participants will be assigned a unique study ID.

Conditions

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Cancer Chemotherapy Effect

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Interventions

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Onco4D Biodynamic Chemotherapy Selection Assay

Functional precision medicine test to predict response to candidate chemotherapeutic agents

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Histologically proven cancer of any type
2. Onco4D® test ordered by treating physician
3. Ability to understand and willingness to sign an informed consent
4. ≥ 18 years old at time of consent

Exclusion Criteria

n/a
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Purdue University

OTHER

Sponsor Role collaborator

Animated Dynamics, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Animated Dynamics, Inc.

Indianapolis, Indiana, United States

Site Status

Countries

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United States

References

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Whitacre E, Manahan E, Burak W, Morgan T, An R, Loesch D: Abstract P3-11-17: A novel biodynamic imaging assay predicts success or failure of neoadjuvant chemotherapy in breast cancer patients. Cancer Research 2019, 79(4 Supplement):P3-11-17.

Reference Type BACKGROUND

Turek JJ, Nolte DD, An R: Abstract 2849: Biodynamic imaging predicts response of breast cancer patients to neoadjuvant chemotherapy. Cancer Research 2018, 78(13 Supplement):2849.

Reference Type BACKGROUND

Choi H, Li Z, Sun H, Merrill D, Turek J, Childress M, Nolte D. Biodynamic digital holography of chemoresistance in a pre-clinical trial of canine B-cell lymphoma. Biomed Opt Express. 2018 Apr 17;9(5):2214-2228. doi: 10.1364/BOE.9.002214. eCollection 2018 May 1.

Reference Type BACKGROUND
PMID: 29760982 (View on PubMed)

Sun H, Merrill D, An R, Turek J, Matei D, Nolte DD. Biodynamic imaging for phenotypic profiling of three-dimensional tissue culture. J Biomed Opt. 2017 Jan 1;22(1):16007. doi: 10.1117/1.JBO.22.1.016007.

Reference Type BACKGROUND
PMID: 28301634 (View on PubMed)

Merrill D, An R, Sun H, Yakubov B, Matei D, Turek J, Nolte D. Intracellular Doppler Signatures of Platinum Sensitivity Captured by Biodynamic Profiling in Ovarian Xenografts. Sci Rep. 2016 Jan 6;6:18821. doi: 10.1038/srep18821.

Reference Type BACKGROUND
PMID: 26732545 (View on PubMed)

Other Identifiers

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003

Identifier Type: -

Identifier Source: org_study_id

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