Ethics and genomic medicine, how to navigate decisions in surgical oncology

Integrating hereditary breast and ovarian cancer genetic counselling and testing into mainstream clinical practice: Legal and ethical challenges

Health professionals not specialized in genetics are expected to take an increasing role in genetic services delivery. This article aims to identify legal and ethical challenges related to a collaborative oncogenetics service model, where non-genetic health professionals provide genetic services to patients. Through a scoping literature review, we identified issues to the provision of hereditary breast and ovarian cancer, or other hereditary adult cancers, genetic testing under this model. Concerns that arose in the literature were informed consent, lack of adherence to best practice guidelines, lack of education of non-genetic health professionals on the provision of genetic services, psychological impacts of genetic testing, continuity of care, the complexity of genetic test results, confidentiality, risks of medical mismanagement, and the associated medical responsibility liabilities. Despite these challenges, there is a growing consensus towards the feasibility of cancer genetic testing being undertaken by non-genetic healthcare professionals in a collaborative oncogenetics service model.

Understanding decisions to participate in genomic medicine in children's cancer care: A comparison of what influences parents, health care providers, and the general community

BACKGROUND

The emerging role of genomically guided precision medicine in pediatric cancer care presents significant clinical, practical, and ethical challenges. We investigated the factors that influence decision-making in genomic medicine from the perspective of different stakeholders in the context of difficult-to-treat childhood cancer.

METHODS

Health care providers (HCPs), parents of childhood cancer survivors, and general community members completed an online discrete choice experiment survey. Respondents considered whether to recommend (HCPs) or choose (parents/community) a genomically guided approach to pediatric cancer treatment. Respondents completed eight choice questions varying by survival benefit, prognosis, likelihood of finding a target, quality of life (QoL), HCP/parent preference, need for biopsy, cost, and who pays. Data were analyzed using a probability regression model, with findings expressed as relative importance, stated importance, and marginal willingness to pay (mWTP).

RESULTS

One hundred twenty-six HCPs, 130 parents, and 531 community members participated. The probability of recommending/choosing genomically guided treatment increased significantly with better prognosis, survival benefit, improvements in QoL, and decision-making partner support. It decreased with increasing costs and if parents paid for treatment. HCPs were more responsive to all factors but were most influenced by survival outcomes, and parents and community members by QoL. In contrast to these forced choice preference results, HCPs stated they were most influenced by QoL and community members by survival.

CONCLUSION

Our findings support the primacy of QoL in genomic decision-making, with some differences across stakeholders in the other factors influencing decision-making. These findings emphasize the need for high-quality information giving and communication to support genomic medicine choices.

Integrating precision cancer medicine into healthcare-policy, practice, and research challenges

Precision medicine (PM) can be defined as a predictive, preventive, personalized, and participatory healthcare service delivery model. Recent developments in molecular biology and information technology make PM a reality today through the use of massive amounts of genetic, ‘omics’, clinical, environmental, and lifestyle data. With cancer being one of the most prominent public health threats in developed countries, both the research community and governments have been investing significant time, money, and efforts in precision cancer medicine (PCM). Although PCM research is extremely promising, a number of hurdles still remain on the road to an optimal integration of standardized and evidence-based use of PCM in healthcare systems. Indeed, PCM raises a number of technical, organizational, ethical, legal, social, and economic challenges that have to be taken into account in the development of an appropriate health policy framework. Here, we highlight some of the more salient issues regarding the standards needed for integration of PCM into healthcare systems, and we identify fields where more research is needed before policy can be implemented. Key challenges include, but are not limited to, the creation of new standards for the collection, analysis, and sharing of samples and data from cancer patients, and the creation of new clinical trial designs with renewed endpoints. We believe that these issues need to be addressed as a matter of priority by public health policymakers in the coming years for a better integration of PCM into healthcare.