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Analytical demands to use whole-genome sequencing in precision oncology

  • Manja Meggendorfer
  • , Vaidehi Jobanputra
  • , Kazimierz O. Wrzeszczynski
  • , Paul Roepman
  • , Ewart de Bruijn
  • , Edwin Cuppen
  • , Reinhard Buttner
  • , Carlos Caldas
  • , Sean Grimmond
  • , Charles G. Mullighan
  • , Olivier Elemento
  • , Richard Rosenquist
  • , Anna Schuh
  • , Torsten Haferlach*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

51 Scopus citations

Abstract

Interrogating the tumor genome in its entirety by whole-genome sequencing (WGS) offers an unprecedented insight into the biology and pathogenesis of cancer, with potential impact on diagnostics, prognostication and therapy selection. WGS is able to detect sequence as well as structural variants and thereby combines central domains of cytogenetics and molecular genetics. Given the potential of WGS in directing targeted therapeutics and clinical decision-making, we envision a gradual transition of the method from research to clinical routine. This review is one out of three within this issue aimed at facilitating this effort, by discussing in-depth analytical validation, clinical interpretation and clinical utility of WGS. The review highlights the requirements for implementing, validating and maintaining a clinical WGS pipeline to obtain high-quality patient-specific data in accordance with the local regulatory landscape. Every step of the WGS pipeline, which includes DNA extraction, library preparation, sequencing, bioinformatics analysis, and data storage, is considered with respect to its logistics, necessities, potential pitfalls, and the required quality management. WGS is likely to drive clinical diagnostics and patient care forward, if requirements and challenges of the technique are recognized and met.

Original languageEnglish
Pages (from-to)16-22
Number of pages7
JournalSeminars in Cancer Biology
Volume84
DOIs
StatePublished - Sep 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Analytical validation
  • Clinical WGS
  • Precision oncology
  • WGS in routine diagnostics
  • Whole-genome sequencing

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