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An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry

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-generat...

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Autores principales: Le Tourneau, Christophe, Perret, Camille, Hackshaw, Allan, Blay, Jean-Yves, Nabholz, Christoph, Geissler, Jan, Do, Thy, von Meyenn, Martina, Dienstmann, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384950/
https://www.ncbi.nlm.nih.gov/pubmed/35939770
http://dx.doi.org/10.1200/PO.22.00019
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author Le Tourneau, Christophe
Perret, Camille
Hackshaw, Allan
Blay, Jean-Yves
Nabholz, Christoph
Geissler, Jan
Do, Thy
von Meyenn, Martina
Dienstmann, Rodrigo
author_facet Le Tourneau, Christophe
Perret, Camille
Hackshaw, Allan
Blay, Jean-Yves
Nabholz, Christoph
Geissler, Jan
Do, Thy
von Meyenn, Martina
Dienstmann, Rodrigo
author_sort Le Tourneau, Christophe
collection PubMed
description 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.
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spelling pubmed-93849502022-08-18 An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry Le Tourneau, Christophe Perret, Camille Hackshaw, Allan Blay, Jean-Yves Nabholz, Christoph Geissler, Jan Do, Thy von Meyenn, Martina Dienstmann, Rodrigo JCO Precis Oncol REVIEW ARTICLES 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. Wolters Kluwer Health 2022-08-08 /pmc/articles/PMC9384950/ /pubmed/35939770 http://dx.doi.org/10.1200/PO.22.00019 Text en © 2022 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle REVIEW ARTICLES
Le Tourneau, Christophe
Perret, Camille
Hackshaw, Allan
Blay, Jean-Yves
Nabholz, Christoph
Geissler, Jan
Do, Thy
von Meyenn, Martina
Dienstmann, Rodrigo
An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
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
title_full An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
title_fullStr An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
title_full_unstemmed An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
title_short An Approach to Solving the Complex Clinicogenomic Data Landscape in Precision Oncology: Learnings From the Design of WAYFIND-R, a Global Precision Oncology Registry
title_sort approach to solving the complex clinicogenomic data landscape in precision oncology: learnings from the design of wayfind-r, a global precision oncology registry
topic REVIEW ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384950/
https://www.ncbi.nlm.nih.gov/pubmed/35939770
http://dx.doi.org/10.1200/PO.22.00019
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