International pilot external quality assessment scheme for analysis and reporting of circulating tumour DNA.

BACKGROUND: Molecular analysis of circulating tumour DNA (ctDNA) is becoming increasingly important in clinical treatment decisions. A pilot External Quality Assessment (EQA) scheme for ctDNA analysis was organized by four European EQA providers under the umbrella organization IQN Path, in order to investigate the feasibility of delivering an EQA to assess the detection of clinically relevant variants in plasma circulating cell-free DNA (cfDNA) and to analyze reporting formats. METHODS: Thirty-two experienced laboratories received 5 samples for EGFR mutation analysis and/or 5 samples for KRAS and NRAS mutation analysis. Samples were artificially manufactured to contain 3 mL of human plasma with 20 ng/mL of fragmented ctDNA and variants at allelic frequencies of 1 and 5%. RESULTS: The scheme error rate was 20.1%. Higher error rates were observed for RAS testing when compared to EGFR analysis, for allelic frequencies of 1% compared to 5%, and for cases including 2 different variants. The reports over-interpreted wild-type results and frequently failed to comment on the amount of cfDNA extracted. CONCLUSIONS: The pilot scheme demonstrated the feasibility of delivering a ctDNA EQA scheme and the need for such a scheme due to high error rates in detecting low frequency clinically relevant variants. Recommendations to improve reporting of cfDNA are provided.

Transparency of genetic testing services for 'health, wellness and lifestyle': analysis of online prepurchase information for UK consumers.

The declining cost of DNA sequencing has been accompanied by a proliferation of companies selling 'direct-to-consumer genetic testing' (DTC-GT) services. Many of these are marketed online as tools for enabling citizens to make more informed decisions about their health, wellness and lifestyle. We assessed the 'information for consumers' provided by these companies at the prepurchase stage, which could influence initial decisions to part with money, data or tissue samples. A scoping exercise revealed 65 DTC-GT companies advertising their services online to consumers in the United Kingdom, of which 15 met our inclusion criteria. We benchmarked their consumer information against the good practice principles developed by the UK Human Genetics Commission (HGC). No provider complied with all the HGC principles and overall levels of compliance varied considerably. Although consent for testing was discussed by all but one company, information about data reuse for research or other purposes was often sparse and consent options limited or unclear. Most did not provide supplementary support services to help users better understand or cope with the implications of test results. We provide recommendations for updating the preconsumer transparency aspects of the HGC guidelines to ensure their fitness-for-purpose in this rapidly changing market. We also recommend improving coordination between relevant governance bodies to ensure minimum standards of transparency, quality and accountability. Although DTC-GT has many potential benefits, close partnership between consumers, industry and government, along with interdisciplinary science input, are essential to ensure that these innovations are used ethically and responsibly.

Optimizing sharing of hospital biobank samples.

Implementing technical guidelines and standards as well as ways to boost cooperation should facilitate sharing of hospital biobank samples.

Developing translational research infrastructure and capabilities associated with cancer clinical trials.

The integration of molecular information in clinical decision making is becoming a reality. These changes are shaping the way clinical research is conducted, and as reality sets in, the challenges in conducting, managing and organising multi-disciplinary research become apparent. Clinical trials provide a platform to conduct translational research (TR) within the context of high quality clinical data accrual. Integrating TR objectives in trials allows the execution of pivotal studies that provide clinical evidence for biomarker-driven treatment strategies, targeting early drug development trials to a homogeneous and well defined patient population, supports the development of companion diagnostics and provides an opportunity for deepening our understanding of cancer biology and mechanisms of drug action. To achieve these goals within a clinical trial, developing translational research infrastructure and capabilities (TRIC) plays a critical catalytic role for translating preclinical data into successful clinical research and development. TRIC represents a technical platform, dedicated resources and access to expertise promoting high quality standards, logistical and operational support and unified streamlined procedures under an appropriate governance framework. TRIC promotes integration of multiple disciplines including biobanking, laboratory analysis, molecular data, informatics, statistical analysis and dissemination of results which are all required for successful TR projects and scientific progress. Such a supporting infrastructure is absolutely essential in order to promote high quality robust research, avoid duplication and coordinate resources. Lack of such infrastructure, we would argue, is one reason for the limited effect of TR in clinical practice beyond clinical trials.