About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients with a histological or cytological diagnosis of solid malignancies, with at least one tumor lesion amenable to core needle biopsy and consent to such a procedure.
Patients must have progressed on immunotherapy (defined as anti-PD1/PD-L1 antibodies given as monotherapy or as part of a combination therapy) as their most recent line of therapy. Patients will be classified into two groups: 1) those who benefitted from immunotherapy with either complete response (CR), partial response (PR) or prolonged stable disease (SD) lasting at least 6 months with subsequent progression or who had disease progression after at least 12 weeks from the last dose of immunotherapy in the adjuvant setting (i.e. acquired resistance), 2) those whose disease is primary refractory to immunotherapy with disease progression at their first on-treatment imaging, those who benefitted from immunotherapy with stable disease (SD) but progressed in <6 months or those that had progressive disease earlier than 12 weeks from the last dose of immunotherapy in the adjuvant setting.
Patients must be of good performance status, ECOG 0-1, for subsequent anticancer therapy, with either standard treatment or within the context of a clinical trial.
Patients must be ≥ 18 years old.
Disqualifiers
Any condition that could interfere with a patient's ability to provide informed consent such as dementia or severe cognitive impairment.
Any contraindication to undergoing venipuncture.
Any condition that, in the opinion of the Investigator, would interfere with patient safety, or evaluation of the collected specimens and interpretation of study results.
Trial population
Patients with a diagnosis of solid tumor malignancy who progressed on immunotherapy as their most recent line of therapy.
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Genomic changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
The genomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Transcriptomic changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
The transcriptomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Immunophenotypic changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
The immunophenotypic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Epigenetic changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
The epigenetic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Secondary outcomes
Genomic changes associated with subsequent anticancer therapies in patients with advanced solid tumors who have progressed on immunotherapy
The genomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Transcriptomic changes associated with subsequent anticancer therapies in patients with advanced solid tumors who have progressed on immunotherapy
The transcriptomic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Immunophenotyping changes associated with subsequent anticancer therapies in patients with advanced solid tumors who have progressed on immunotherapy
The immunophenotypic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Epigenetic changes associated with subsequent anticancer therapies in patients with advanced solid tumors who have progressed on immunotherapy
The epigenetic parameters for radiomic imaging analysis will be derived from patients' routine CT scans to study changes in radiomic signatures during treatment.
Other outcomes
Radiomic changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
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).
Radiomic changes associated with subsequent anticancer therapies in patients with advanced solid tumors who have progressed on immunotherapy
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
Fecal microbiome changes associated with primary or acquired resistance to immunotherapy given alone or in combination in patients with advanced solid tumors
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.
Sponsors and contacts
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