跳至主要内容
临床试验/NCT02155621
NCT02155621招募中不适用

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

British Columbia Cancer Agency2 个研究点 分布在 1 个国家目标入组 5,000 人开始时间: 2014年7月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
5,000
试验地点
2
主要终点
Influence of genomic data on clinical decision-making

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Other
盲法
None

入排标准

年龄范围
18 Years 至 85 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Influence of genomic data on clinical decision-making

时间窗: 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

时间窗: 5 years

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

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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