Non-Invasive Artificial Intelligence-Based Platform MonIToring Program (NIP IT!) (NIP IT!)
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Celeste Yu, MSc
- Phone Number: 5281 416-946-4501
- Email: Celeste.Yu@uhn.ca
Study Contact Backup
- Name: Elizabeth Shah
- Phone Number: 3833 416-946-4501
- Email: elizabeth.shah@uhn.ca
Study Locations
-
-
Ontario
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Toronto, Ontario, Canada, M5G 2M9
- Recruiting
- Princess Margaret Cancer Centre
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Contact:
- Celeste Yu
- Phone Number: 5281 416-946-4501
- Email: celeste.yu@uhn.ca
-
Principal Investigator:
- Lillian Siu, MD
-
Principal Investigator:
- Philippe Bedard, MD
-
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients with histological confirmation of a solid tumor.
- Patients must have early stage or locally advanced disease that is planned for or have undergone curative treatment.
- Patient must be ≥ 18 years old.
- All patients must have signed and dated an informed consent form.
Exclusion Criteria:
None
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
|
NIP IT!
Patients with early stage or locally advanced disease that is planned for or have undergone curative treatment will have next-generation sequencing (NGS)-based ctDNA analysis performed on blood samples to determine minimal residual disease (MRD).
Blood samples, stool samples, and additional archival/fresh tumor specimens will be collected for banking and future research purposes.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change from Baseline in ctDNA collected from biospecimens
Time Frame: Through study completion, an average of 4 years
|
Next-generation sequencing based ctDNA analysis
|
Through study completion, an average of 4 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Number of participants that are identified as high risk of clinical relapse with artificial intelligence (AI) and machine learning algorithms
Time Frame: Through study completion, an average of 4 years
|
Through study completion, an average of 4 years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Lillian Siu, MD, Princess Margaret Hospital, Canada
- Principal Investigator: Philippe Bedard, MD, Princess Margaret Hospital, Canada
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
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
- NIP IT!
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.