This is a prospective non-randomized study of patients with metastatic pancreatic ductal adenocarcinoma (PDAC) undergoing first-line systemic chemotherapy with either folinic acid, fluorouracil, irinotecan, and oxaliplatin (FOLFIRINOX) or gemcitabine and nab-paclitaxel (GP)-based regimens, where tumour samples, baseline and serial blood samples, and standardized clinical and radiological assessments will be obtained. Patients planned for treatment with an investigational agent(s) within a clinical trial using either FOLFIRINOX or GP as the chemotherapy backbone will also be eligible, as long other eligibility criteria for the study are met.
A total of 190 patients will be recruited over the study period. Patients will undergo fresh tumour biopsy at study baseline for comprehensive molecular characterization (biopsy cohort). Patients whose biopsy was unable to undergo whole genome and transcriptome sequencing (e.g. due to insufficient tumour content) but fulfill all other eligibility criteria will comprise the archival cohort, where limited genomic analyses will be performed on archival tumour samples. Patients with a radiological diagnosis of metastatic PDAC without a confirmatory histological diagnosis may be eligible; in these cases, tumour biopsy for establishing a pathological diagnosis will be given first priority. Remaining tumour samples will be used for research purposes only after the diagnosis of PDAC has been established. In the rare event (\<5%) where the histological diagnosis is other than PDAC, patients will be censored from the study and all tumour materials stored for future clinical use outside of this study.
All patients will undergo serial collection of plasma and serum samples at baseline and every cycle of chemotherapy or every 4 weeks, whichever is longer, until end of study. These samples will be used for exploratory biomarker analyses. Serum cancer antigen 19-9 (CA19-9), also known as carbohydrate antigen 19-9, will also be measured at baseline and every cycle of chemotherapy or every 4 weeks thereafter, whichever is longer, as part of routine standard of care until end of study. In addition, a whole blood sample will be collected at baseline to study germline DNA variants. CT chest, abdomen and pelvis will be performed at baseline and every 8 weeks, with radiological response to therapy assessed using RECIST 1.1.
Patients must have at least one tumour lesion amenable to biopsy from which a minimum of 3 tumour cores can be safely obtainable under CT or ultrasound guidance, as assessed by a staff interventional radiologist. A maximum of 5 tumour cores will be taken from each patient at baseline prior to treatment with FOLFIRINOX or GP. At the time of radiological disease progression, an optional second tumour biopsy will be collected from patients in the biopsy cohort to study changes in the molecular characteristics of tumours under the selection pressure of first-line systemic therapy. This tumour biopsy will be performed using exactly the same procedures described for the baseline biopsy. Tumour biopsies will be coordinated with the British Columbia (BC) Cancer Personalized Oncogenomics (POG) program and the data and/or samples shared between the two studies to avoid re-sampling the patient for both POG and PanGen, if the patient is participating in both studies. Molecular analyses will be performed by BC Cancer. Depending on the amount of tumour material obtained from each patient, molecular analyses will be prioritized to first establish or confirm histological diagnosis and then use for whole genome sequencing, whole transcriptome sequencing, proteomics, and patient-derived models.
The primary endpoint of PanGen is the generation of molecular and phenotypic signatures of individual tumours in a clinically relevant timeframe. The signature data will be correlated with clinical outcome. One of the key strengths of this cohort approach will be the rigorous annotation of PDAC patients' clinical features and outcomes to all treatments (first-line and other) linked to the molecular profile. The investigators have the potential to be nimble as more data is generated, more hypotheses can be explored and others fine-tuned or eliminated.
