Princess Margaret Cancer Centre
Toronto, Ontario, M5G 2M9, Canada
Location status: Recruiting
Location contact
Celeste Yu
CONTACT
416-946-4501 ext. 5281
Lillian Siu, MD
PRINCIPAL_INVESTIGATOR
Philippe Bedard, MD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT05196087
Patients who have undergone curative treatment may be at risk of relapse. This study will collect, annotate, and sequence biospecimens (blood, stool, and tissue) from patients across different tumor types to detect molecular residual disease (MRD) before metastases become radiographically or clinically detectable. This will allow for early cancer interception, and hopefully prolong relapse-free survival across tumor types.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Toronto, Ontario, M5G 2M9, Canada
Location status: Recruiting
Celeste Yu
CONTACT
416-946-4501 ext. 5281
Lillian Siu, MD
PRINCIPAL_INVESTIGATOR
Philippe Bedard, MD
PRINCIPAL_INVESTIGATOR
The development of anticancer drugs typically starts with patients with advanced cancers who have exhausted standard treatments. Yet even the most active new drugs produce only modest benefits in patients with advanced cancers because of the emergence of resistance, similar to the resistance that bacteria develop when they are repeatedly exposed to antibiotics. In order to achieve larger magnitude gains in survival and make greater impact in the field of cancer, promising drugs must be tested in patients with curable malignancies who have undergone definitive treatment but are at high risk of relapse. Interception is the active intervention of cancers at an early stage, offering an opportunity to eliminate molecular residual disease (MRD) before clinical relapse. MRD describes the situation in which cancer-derived biomarkers are detectable, typically using highly sensitive and specific molecular assays in blood or other body substances that are below the threshold of detection by conventional tests such as CT scans or radiological imaging. Using innovative technologies to monitor patients at high risk of relapse, and applying them to serial samples of their circulating tumor DNA, other body fluids, stool and radiological images, the goal is to develop AI-based models to identify those who are at the highest risk of relapse. This will allow interception studies to be conducted to target microscopic tumor cells in these patients to increase cancer cure rates.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
None
Time frame: Through study completion, an average of 4 years
Next-generation sequencing based ctDNA analysis
Time frame: Through study completion, an average of 4 years
Contact information is provided by the study sponsor or research team.
University Health Network, Toronto
Other
Acronym: NIP IT!
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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