Study protocol: Whole genome sequencing Implementation in standard Diagnostics for Every cancer patient (WIDE).


Journal

BMC medical genomics
ISSN: 1755-8794
Titre abrégé: BMC Med Genomics
Pays: England
ID NLM: 101319628

Informations de publication

Date de publication:
10 11 2020
Historique:
received: 08 10 2020
accepted: 25 10 2020
entrez: 10 11 2020
pubmed: 11 11 2020
medline: 6 5 2021
Statut: epublish

Résumé

'Precision oncology' can ensure the best suitable treatment at the right time by tailoring treatment towards individual patient and comprehensive tumour characteristics. In current molecular pathology, diagnostic tests which are part of the standard of care (SOC) only cover a limited part of the spectrum of genomic changes, and often are performed in an iterative way. This occurs at the expense of valuable patient time, available tissue sample, and interferes with 'first time right' treatment decisions. Whole Genome Sequencing (WGS) captures a near complete view of genomic characteristics of a tumour in a single test. Moreover, WGS facilitates faster implementation of new treatment relevant biomarkers. At present, WGS mainly has been applied in study settings, but its performance in a routine diagnostic setting remains to be evaluated. The WIDE study aims to investigate the feasibility and validity of WGS-based diagnostics in clinical practice. 1200 consecutive patients in a single comprehensive cancer centre with (suspicion of) a metastasized solid tumour will be enrolled with the intention to analyse tumour tissue with WGS, in parallel to SOC diagnostics. Primary endpoints are (1) feasibility of implementation of WGS-based diagnostics into routine clinical care and (2) clinical validation of WGS by comparing identification of treatment-relevant variants between WGS and SOC molecular diagnostics. Secondary endpoints entail (1) added clinical value in terms of additional treatment options and (2) cost-effectiveness of WGS compared to SOC diagnostics through a Health Technology Assessment (HTA) analysis. Furthermore, the (3) perceived impact of WGS-based diagnostics on clinical decision making will be evaluated through questionnaires. The number of patients included in (experimental) therapies initiated based on SOC or WGS diagnostics will be reported with at least 3 months follow-up. The clinical efficacy is beyond the scope of WIDE. Key performance indicators will be evaluated after every 200 patients enrolled, and procedures optimized accordingly, to continuously improve the diagnostic performance of WGS in a routine clinical setting. WIDE will yield the optimal conditions under which WGS can be implemented in a routine molecular diagnostics setting and establish the position of WGS compared to SOC diagnostics in routine clinical care.

Sections du résumé

BACKGROUND
'Precision oncology' can ensure the best suitable treatment at the right time by tailoring treatment towards individual patient and comprehensive tumour characteristics. In current molecular pathology, diagnostic tests which are part of the standard of care (SOC) only cover a limited part of the spectrum of genomic changes, and often are performed in an iterative way. This occurs at the expense of valuable patient time, available tissue sample, and interferes with 'first time right' treatment decisions. Whole Genome Sequencing (WGS) captures a near complete view of genomic characteristics of a tumour in a single test. Moreover, WGS facilitates faster implementation of new treatment relevant biomarkers. At present, WGS mainly has been applied in study settings, but its performance in a routine diagnostic setting remains to be evaluated. The WIDE study aims to investigate the feasibility and validity of WGS-based diagnostics in clinical practice.
METHODS
1200 consecutive patients in a single comprehensive cancer centre with (suspicion of) a metastasized solid tumour will be enrolled with the intention to analyse tumour tissue with WGS, in parallel to SOC diagnostics. Primary endpoints are (1) feasibility of implementation of WGS-based diagnostics into routine clinical care and (2) clinical validation of WGS by comparing identification of treatment-relevant variants between WGS and SOC molecular diagnostics. Secondary endpoints entail (1) added clinical value in terms of additional treatment options and (2) cost-effectiveness of WGS compared to SOC diagnostics through a Health Technology Assessment (HTA) analysis. Furthermore, the (3) perceived impact of WGS-based diagnostics on clinical decision making will be evaluated through questionnaires. The number of patients included in (experimental) therapies initiated based on SOC or WGS diagnostics will be reported with at least 3 months follow-up. The clinical efficacy is beyond the scope of WIDE. Key performance indicators will be evaluated after every 200 patients enrolled, and procedures optimized accordingly, to continuously improve the diagnostic performance of WGS in a routine clinical setting.
DISCUSSION
WIDE will yield the optimal conditions under which WGS can be implemented in a routine molecular diagnostics setting and establish the position of WGS compared to SOC diagnostics in routine clinical care.

Identifiants

pubmed: 33167975
doi: 10.1186/s12920-020-00814-w
pii: 10.1186/s12920-020-00814-w
pmc: PMC7654005
doi:

Substances chimiques

Biomarkers, Tumor 0
DNA, Neoplasm 0

Types de publication

Clinical Trial Protocol Comparative Study Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

169

Subventions

Organisme : ZonMw
ID : 446002004
Pays : Netherlands

Références

Br J Haematol. 2018 Aug;182(3):412-417
pubmed: 29808933
ESMO Open. 2016 Nov 18;1(5):e000094
pubmed: 27933214
Cell Oncol. 2007;29(1):19-24
pubmed: 17429138
Nat Commun. 2018 Sep 27;9(1):3962
pubmed: 30262806
Nature. 2019 Nov;575(7781):210-216
pubmed: 31645765
Nat Commun. 2019 Jul 19;10(1):3240
pubmed: 31324872
Nature. 2019 Oct;574(7776):127-131
pubmed: 31570881

Auteurs

Kris G Samsom (KG)

Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Linda J W Bosch (LJW)

Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Luuk J Schipper (LJ)

Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Paul Roepman (P)

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Ewart de Bruijn (E)

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Louisa R Hoes (LR)

Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Immy Riethorst (I)

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Lieke Schoenmaker (L)

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Lizet E van der Kolk (LE)

Family Cancer Clinic, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Tineke E Buffart (TE)

Department of Gastrointestinal Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Jacobus J M van der Hoeven (JJM)

Hartwig Medical Foundation, Amsterdam, The Netherlands.

Emile E Voest (EE)

Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht, The Netherlands.

Edwin Cuppen (E)

Hartwig Medical Foundation, Amsterdam, The Netherlands.
Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht, The Netherlands.

Kim Monkhorst (K)

Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands. k.monkhorst@nki.nl.

Gerrit A Meijer (GA)

Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

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Classifications MeSH