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Clinical Trials/NCT02155621
NCT02155621RecruitingNot Applicable

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

British Columbia Cancer Agency2 sites in 1 country5,000 target enrollmentStarted: July 1, 2014Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
5,000
Locations
2
Primary Endpoint
Influence of genomic data on clinical decision-making

Study Overview

Brief Summary

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

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.

Study Design

Study Type
Interventional
Allocation
Na
Intervention Model
Single Group
Primary Purpose
Other
Masking
None

Eligibility Criteria

Ages
18 Years to 85 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Not provided

Exclusion Criteria

  • Not provided

Outcomes

Primary Outcomes

Influence of genomic data on clinical decision-making

Time Frame: 5 years

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.

Cataloging of cancer genomes

Time Frame: 5 years

Accumulation of genomic information linked to treatment/outcome data will greatly enhance our knowledge and understanding of cancers and response to treatment.

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (2)

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