Onco4D(TM) Biodynamic Chemotherapy Selection for Bladder Cancer Patients
Feasibility Study of Motility Contrast Tomography for Predicting Therapeutic Response
1 other identifier
observational
150
1 country
1
Brief Summary
Millions of cancer patients every year receive chemotherapy with only a 20-60% probability of pathological response, while most experience 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. However, there are no effective methods for quickly assessing patient chemotherapy resistance. Patient Derived Xenograft (PDX) models have replaced older Chemotherapy Sensitivity and Resistance Assays (CSRAs) to some degree, but both technologies suffer from long testing times, high cost, and/or low accuracy. Motility Contrast Tomography (MCT) has recently emerged as a technology that measures the biodynamic response of intact tumor biopsies to applied therapeutics by using Doppler detection of infrared light scattered from intracellular motions inside living tissue. Several small scale animal, xenograft, and human studies have shown this phenotypic profiling technique to be highly accurate in prediction of response and resistance to chemotherapy. This project will be the first human trial of biodynamic phenotyping to predict chemotherapy response among bladder cancer patients. Specifically, the study cohort will include patients selected for neoadjuvant chemotherapy treatment, because this setting offers the opportunity for near-term outcome measurement at the time of post-chemo surgery. Pre-therapy fresh tumor specimens will be imaged using MCT, and the resulting bio-dynamic signatures will be compared to confirmed pathological response at the time of surgery. Observation of a high predictive value will provide the basis for expanded clinical trials and prompt commercialization of a biodynamic chemotherapy selection assay for bladder and other cancer patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2017
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 22, 2017
CompletedFirst Submitted
Initial submission to the registry
November 8, 2018
CompletedFirst Posted
Study publicly available on registry
November 13, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2020
CompletedJanuary 13, 2020
January 1, 2020
3 years
November 8, 2018
January 9, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Objective pathological response measured at the time of cystectomy.
The study will be considered successful, if a majority of specimens yield interpretable MCT results, and if MCT signatures are identified which demonstrate a high statistical correlation to confirmed patient response.
Cystectomy is generally expected to occur 12-16 weeks after biopsy is obtained from a TURBT procedure.
Interventions
The Onco4D Biodynamic Chemotherapy Selection Assay uses Motility Contrast Tomography (MCT) to measure ex-vivo fresh tumor biopsy response when challenged by an array of chemotherapeutic agents. A machine learning algorithm uses the MCT datastream to predict in vivo tumor response or non response to chemotherapy.
Eligibility Criteria
Patients of all races and ethnic groups are eligible for this study. Patients will be recruited from participating sites after interpretation of imaging or other factors indicative of bladder cancer, but prior to performance of a TURBT procedure per routine care guidelines.
You may qualify if:
- Ability to understand and willingness to sign an informed consent and authorization for release of tissue not required for pathologic diagnosis to be used for research purposes
- ≥ 18 years old at time of consent
- Patients undergoing a TURBT procedure due to diagnose muscle invasive bladder cancer
You may not qualify if:
- Women who are pregnant or breastfeeding
- Known tumor genetics or other factors, which in the treating physician's professional judgement, make the patient an unlikely candidate to receive chemotherapy (either neoadjuvantly or adjuvantly)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Animated Dynamics, Inc.
Indianapolis, Indiana, 46241, United States
Related Publications (1)
Laviana AA, Schiftan EG, Mashni JW, Large MC, Kaimakliotis HZ, Nolte DD, Turek JJ, An R, Morgan TA, Chang SS. Biodynamic prediction of neoadjuvant chemotherapy response: Results from a prospective multicenter study of predictive accuracy among muscle-invasive bladder cancer patients. Urol Oncol. 2023 Jun;41(6):295.e9-295.e17. doi: 10.1016/j.urolonc.2022.11.017. Epub 2022 Dec 13.
PMID: 36522279DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Travis A Morgan, MBA
Animated Dynamics, Inc.
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 8, 2018
First Posted
November 13, 2018
Study Start
June 22, 2017
Primary Completion
June 30, 2020
Study Completion
June 30, 2020
Last Updated
January 13, 2020
Record last verified: 2020-01
Data Sharing
- IPD Sharing
- Will not share