Princess Margaret Cancer Centre
Toronto, Ontario, M5G2M9, Canada
Location status: Recruiting
NCT Number: NCT04243720
This is a prospective research study which will include patients who have progressed on immunotherapy as their most recent line of therapy. This study aims to characterize whether patients who fail to respond to immunotherapy versus patients who respond initially but after a period of time progress demonstrate different genomic, transcriptomic, epigenetic, immunophenotyping profiles. Patients will have a one-time fresh tumor biopsy. Serial blood samples (total amount of blood drawn may not exceed the lesser of 50 mL or 3 mL/kg in an 8 week period), archival tissue (if available) and one stool sample will be collected.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Toronto, Ontario, M5G2M9, Canada
Location status: Recruiting
Although there has been some success with the use of immunotherapy treatments specifically antibodies that block the programmed death 1 receptor (PD1/L1), the majority of cancer patients either fail to respond (primary resistance) or respond initially but progress after a period of time (acquired resistance) when treated with immunotherapy agents. The hypothesis being tested is whether patients who have primary versus acquired resistance to immunotherapy demonstrate different genomic, transcriptomic, immunophenotypic and/or epigenetic profiles.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Through study completion, up to 4 years
The genomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The transcriptomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The immunophenotypic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The epigenetic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The genomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The transcriptomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The immunophenotypic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
The epigenetic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Time frame: Through study completion, up to 4 years
Dynamic changes in radiomic signatures of tumors between commencement of systemic treatment and disease progression will be analysed from serial CT scans (normally performed at base line and approximately every 2-3 months thereafter until disease progression).
Time frame: Through study completion, up to 4 years
Tumor radiomic signatures will be used to study how phenotypic characteristics of tumors change during systemic therapy and how these signatures correlate with genomic, transcriptomic, immunophenotypic and epigenetic signatures
Time frame: Through study completion, up to 4 years
DNA extraction will be performed and subjected to Shotgun sequencing. Bioinformatic analysis will be performed to determine microbial taxa composition (operation taxa units - OTU's) and diversity, including abundance plots at class, genus and species levels, alpha diversity (Rarefaction curve, Shannon curve, Rank Abundance curve) and beta diversity ((Un)weighted unifrac distance, PCoA) plots.
Contact information is provided by the study sponsor or research team.
University Health Network, Toronto
Other
Acronym: IRIS
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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