About this trial
Researchers are looking to further our knowledge on disease biology and treatment selection for gastroesophageal adenocarcinoma. The purpose of this study is to see how useful it is to look for changes and characteristics in your genes (molecules that contain instructions for the development and functioning of the cells) and the genes within the tumour. These characteristics may be useful in choosing treatments for patients for the future.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients with suspected or histologically confirmed localized gastroesophageal adenocarcinoma amenable to curative intent therapy with surgery as standard of care, either with or without induction chemotherapy or chemo radiotherapy.
Age ≥18 years.
Eastern Cooperative Group (ECOG) performance status 0-2
Patients must have a histological or radiological diagnosis of advanced gastroesophageal cancer.
Disqualifiers
Patients who are planned for definitive chemoradiation without surgical resection will be excluded from this study.
Any other condition that would, in the Investigator's judgment, contraindicate the patient's participation in the clinical study due to safety concerns or compliance with clinical study procedures.
Patients with one or more contraindications to tumour biopsy according to UHN's standard biopsy procedures.
Patients who had prior systemic treatment for advanced or metastatic gastroesophageal cancer.
Trial population
Patients with suspected (Arm 1) or histologically confirmed gastroesophageal adenocarcinoma
Trial design
Cohort
Prospective
Treatments tested in this trial
Molecular Profiling
GeneticThis is a correlative study collecting biosamples to evaluate genomic characteristics and treatment outcomes of gastroesophageal adenocarcinoma.
Treatment groups
Trial outcomes
Primary outcomes
GEA sequencing data and molecular profiling
Feasibility of obtaining timely sequencing data to guide treatment for patients progressing on 1st line treatment.
Establishment of GEA treatment algorithms
Feasibility of using ctDNA, metabolome, immune profiling and other emerging technologies to guide treatment of GEA
Establishment of personalized GEA treatment protocols
Feasibility to establish a program of personalized care for GEA patients in terms of pre-treatment assessment (Physiological and Frailty Risk Assessment, QOLQ, Sarcopenia and Adiposity measurements) and treatment based on clinical-genomic correlations.
GEA BioBank repository
Establishment of a repository of annotated, high quality blood, tumour and microbiome samples from patients with GEA. These archived specimens can be used in future research studies that aim to increase our understanding of GEA cancer and discover new ways of diagnosing and managing disease.
Sponsors and contacts
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