dc.contributor
Institut Català de la Salut
dc.contributor
[Le Tourneau C] Institut Curie, Department of Drug Development and Innovation (D3i), Paris-Saclay University, Paris & Saint-Cloud, France. [Perret C] F. Hoffmann-La Roche Ltd, Basel, Switzerland. [Hackshaw A] Cancer Research UK and UCL Cancer Trials Centre, London, United Kingdom. [Blay JY] Centre Léon Bérard and Université Claude Bernard, Lyon, France. [Nabholz C] Swiss Re Institute, Zürich, Switzerland. [Geissler J] Patvocates, Munich, Germany. [Dienstmann R] Oncoclínicas Grupo, São Paulo, Brazil. Oncology Data Science, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Perret, Camille
dc.contributor.author
Hackshaw, Allan
dc.contributor.author
Nabholz, Christoph
dc.contributor.author
Geissler, Jan
dc.contributor.author
Le Tourneau, Christophe
dc.contributor.author
Blay, Jean-Yves
dc.contributor.author
Dienstmann, Rodrigo
dc.date.accessioned
2025-10-24T08:14:01Z
dc.date.available
2025-10-24T08:14:01Z
dc.date.issued
2022-10-25T11:24:27Z
dc.date.issued
2022-10-25T11:24:27Z
dc.date.issued
2022-08-08
dc.identifier
Le Tourneau C, Perret C, Hackshaw A, Blay JY, Nabholz C, Geissler J, et al. An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry. JCO Precis Oncol. 2022 Aug 8;6:e2200019.
dc.identifier
https://hdl.handle.net/11351/8340
dc.identifier
10.1200/PO.22.00019
dc.identifier.uri
http://hdl.handle.net/11351/8340
dc.description.abstract
Oncología de precisión; Datos clinicogenómicos
dc.description.abstract
Oncologia de precisió; Dades clinicogenòmiques
dc.description.abstract
Precision oncology; Clinicogenomic data
dc.description.abstract
Precision oncology, where patients are given therapies based on their genomic profile and disease trajectory, is rapidly evolving to become a pivotal part of cancer management, supported by regulatory approvals of biomarker-matched targeted therapies and cancer immunotherapies. However, next-generation sequencing (NGS)–based technologies have revealed an increasing number of molecular-based cancer subtypes with rare patient populations, leading to difficulties in executing/recruiting for traditional clinical trials. Therefore, approval of novel therapeutics based on traditional interventional studies may be difficult and time consuming, with delayed access to innovative therapies. Real-world data (RWD) that describe the patient journey in routine clinical practice can help elucidate the clinical utility of NGS-based genomic profiling, multidisciplinary case discussions, and targeted therapies. We describe key learnings from the setup of WAYFIND-R (NCT04529122), a first-of-its-kind global cancer registry collecting RWD from patients with solid tumors who have undergone NGS-based genomic profiling. The meaning of ‘generalizability’ and ‘high quality’ for RWD across different geographic areas was revisited, together with patient recruitment processes, and data sharing and privacy. Inspired by these learnings, WAYFIND-R’s design will help physicians discuss patient treatment plans with their colleagues, improve understanding of the impact of treatment decisions/cancer care processes on patient outcomes, and provide a platform to support the design and conduct of further clinical/epidemiologic research. WAYFIND-R demonstrates user-friendly, electronic case report forms, standardized collection of molecular tumor board-based decisions, and a dashboard providing investigators with access to local cohort-level data and the ability to interact with colleagues or search the entire registry to find rare populations. Overall, WAYFIND-R will inform on best practice for NGS-based treatment decisions by clinicians, foster global collaborations between cancer centers and enable robust conclusions regarding outcome data to be drawn, improve understanding of disparities in patients’ access to advanced diagnostics and therapies, and ultimately drive advances in precision oncology.
dc.format
application/pdf
dc.publisher
American Society of Clinical Oncology
dc.relation
JCO Precision Oncology;6
dc.relation
https://doi.org/10.1200/po.22.00019
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Càncer - Diagnòstic
dc.subject
Medicina personalitzada
dc.subject
Dades massives
dc.subject
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Epidemiologic Methods::Data Collection
dc.subject
DISEASES::Neoplasms
dc.subject
Other subheadings::Other subheadings::/diagnosis
dc.subject
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Therapeutics::Precision Medicine
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::métodos epidemiológicos::recopilación de datos
dc.subject
ENFERMEDADES::neoplasias
dc.subject
Otros calificadores::Otros calificadores::/diagnóstico
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::terapéutica::medicina de precisión
dc.title
An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion