Personalized Oncogenomics (POG) Program of British Columbia

Study Overview
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Brief Summary
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The genomic heterogeneity of cancers implies that to effectively use targeted therapies the investigators will need to assess each individual cancer and match it to a biologically relevant targeted therapy. The investigators will use full genome sequencing to try to identify cancer drivers and corresponding drugs that may inhibit these pathways.

Detailed Description
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Carcinogenesis is an immensely complex process such that even within a histologic cancer subtype - for example adenocarcinoma of the lung or breast - there is significant variability in cancer behaviour and response to therapy. Analyses of individual patients demonstrate unique molecular signatures for every cancer examined. Frequently, multiple different pathways are involved in disease growth and progression and the dominant process varies from person to person and perhaps even within different sites of disease within one person. As well these variations evolve in response to treatment. Recognizing genetic aberrations that promote disease facilitates targeted treatment; this has been demonstrated in several small subgroups of cancers in which specific genetic mutations or translocations have been successfully treated with targeted chemotherapy agents. With many recognized mutations and aberrations, personalized evaluation of the genetic signature encoded in DNA and RNA may provide important diagnostic information and potentially enable directed therapy to the appropriate oncologic pathway thereby providing information to help guide chemotherapy choices Our initial pilot project demonstrated the feasibility of this approach at our institution (with 100 patients). We now know it is possible to identify and consent patients, sequence the genome and transcriptome, analyze and report abnormalities, and identify potential actionable targets in a clinically relevant time frame. The Personalized OncoGenomics (POG) program has been operational across the province of BC since 2012. The initial two-year phase established the infrastructure and workflow by which patients with metastatic or incurable cancers could be identified, consented, and biopsied for genomic sequencing in a clinically accredited lab (Laskin et al., 2015). The next phase of the POG program (2014 - 2017) included a strong educational and engagement process such that 83 (80%) of the medical oncologists at BC Cancer were trained to consent and enroll patients onto POG. This means that the oncology community in BC has a broad education in cancer genomics and how these data may be applied to individual patients. Since 2017, the program has been integrated into the Vancouver Cancer Centre's phase 1 clinical trials unit and the focus has shifted to use the study patients and data to address more focused clinical therapeutic trials such as the CCTG CAPTUR study (Skamene et al., 2018). POG-like WGTA has been the driving force behind the creation of the Terry Fox Marathon of Hope Cancer Centre Network (MOHCCN) which is a national program for cancer genomic data sharing across Canada. The overarching theme of this POG Program is to create a comprehensive cataloguing of somatic cancer mutations and cellular pathway abnormalities that could generate profound insights into genetic patterns that underlie particular cancer phenotypes, and provide valuable prognostic and predictive information. Eligible subjects will have several samples analyzed: a fresh tumour biopsy (typically 5 cores are required), a blood sample for normal comparison and archival tumours when available. Also, technology has improved such that we may consider using paraffin embedded materials. Comprehensive DNA and RNA sequencing is performed followed by an in-depth bioinformatic analysis to identify somatic mutations, gene expression changes or other abnormalities that might be cancer drivers or provide actionable (diagnostic) or druggable targets. The POG team meets every week to discuss the detailed genomic reports for patients, consider additional validation tests when necessary, and debate research questions. The clinicians (typically 5 - 10) come to a consensus on what systemic therapies might be appropriate based on these results. Whenever possible subjects are matched to clinical trials.

Official Title
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Personalized OncoGenomics (POG) Program of British Columbia: Connecting Cancer Genomics to Cancer Care

Conditions
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Metastatic Cancers, Advanced Cancers, Cancers That Cannot be Treated With Curative Intent

Intervention / Treatment
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* Genetic: Genome sequencing


Participation Criteria
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Eligibility Criteria
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Inclusion criteria: Patients must agree to allow their archival specimens to be used and possibly completely depleted for these analyses. Willing and able to have a study-specific biopsy or resection of the tumour or metastatic site OR if there is adequate archival material available, either fresh frozen or FFPE (if specimen is thought to be adequate) that is taken after the most recent chemo or radiation. Ideally this sample should have been collected within 16 weeks of the date of consent. If archival tissue is not adequate and if a biopsy is not feasible or deemed medically safe by the investigators the patient would become ineligible. Patients must understand and agree to provide a blood test (or other sample of normal DNA) for germline genomic analysis. ECOG PS 0 or 1. Age >/= 18 years. Estimated life expectancy >/= 6 months and high likelihood of being clinically fit for a therapeutic clinical trial in 3-6 months. Measurable disease with RECIST v1.1 (or updated version). Adequate organ function. Patients must clearly understand that this data may be used to help guide treatment recommendations, including the avoidance of some therapeutic agents or the suggestion to use standard cytotoxic chemotherapy agents. Willingness to have their de-identified genomic and clinical data shared with national and international research collaborators and data sharing platforms (as detailed in the consent form). Willingness to be contacted for future studies based on the data that is generated by participation in POG; included in this is the anticipation that patient would be fit or a candidate for clinical trials. Exclusion criteria: Unable or unwilling to consent to the above tissue and blood requirements. Significant medical condition that in the opinion of the treating or consenting oncologist and/or the POG central office review team renders the subject not suitable for participation. This includes the likelihood that a subject would be suitable for a clinical trial within 12 weeks after POG biopsy. Unwilling or unable to provide treatment and outcome follow up information to the BC Cancer or affiliated investigators. Unwilling to receive medically actionable findings (germline and/or somatic).

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 85 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Other
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Genome Sequencing<br>There is only one arm to this study. | Genetic: Genome sequencing<br>* Subjects will have their cancers biopsied and blood samples taken; both will undergo genomic sequencing and analysis<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Influence of genomic data on clinical decision-making | This outcome will allow us to study how often in-depth genomic data impacts on clinical decision-making in a general oncology population. It will help describe how useful or important this sort of data is in daily practice. | 5 years | 
| Cataloging of cancer genomes | Accumulation of genomic information linked to treatment/outcome data will greatly enhance our knowledge and understanding of cancers and response to treatment. | 5 years | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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cancer genomics, precision medicine, metastatic cancer, clinical decision-making