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Highlights from the 2016 WIN Symposium, 27–29 June 2016, Paris: personalised therapy beyond next-generation sequencing

The Worldwide Innovative Networking (WIN) consortium is an alliance of academic institutions, pharmaceutical partners, representatives from technology companies and charitable/health payer organisations from across the globe. For the last six years, the consortium’s aims have been to foster communic...

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Detalles Bibliográficos
Autores principales: Schilsky, Richard, Davies, Will
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014556/
https://www.ncbi.nlm.nih.gov/pubmed/27610195
http://dx.doi.org/10.3332/ecancer.2016.669
Descripción
Sumario:The Worldwide Innovative Networking (WIN) consortium is an alliance of academic institutions, pharmaceutical partners, representatives from technology companies and charitable/health payer organisations from across the globe. For the last six years, the consortium’s aims have been to foster communication and collaboration between members, encourage dialogue in an open forum, and deliver clinical trial results that improve the care and outcomes of patients with cancer using the latest advances in genomic-based medicine. The annual WIN Symposium, held over two days, is a chance for its members to come together and discuss ongoing research, recent announcements, and introduce new developments in personalised medicine. This year’s conference, held in Paris, France 27–29 June, consisted of six dedicated sessions, including two debates, and posters from members and participating organisations, all focusing on the latest therapeutic advances and updates in genomic analysis. Special highlights from this year included discussion of the MINDACT clinical trial, which uses a gene expression test to identify patients with breast cancer who can safely forego adjuvant chemotherapy, and the reflections on the SHIVA trial. Of particular interest to many speakers was the utilisation of liquid biopsy samples to produce near real time snapshots of tumour mutational profiles and vulnerability.