Literature DB >> 35751825

Preanalytical Variables and Sample Quality Control for Clinical Variant Analysis.

Ilaria Alborelli1, Philip M Jermann2.   

Abstract

Broad molecular profiling by next-generation sequencing of solid tumors has become a critical tool for clinical decision-making in the era of precision oncology. In addition to many already approved targeted therapies, more than half of ongoing oncology-related clinical trials are biomarker-driven. Therefore, accurate and reliable assays are needed to assess the genetic make-up of tumor cells and guide clinicians in the therapy decision process. In order to obtain high-quality NGS data for variant detection, certain preanalytical steps and quality metrics should be followed. These include assessment of sample types, choice of extraction method, library preparation technology, sequencing platform, and finally sequencing quality control. Each of these steps has certain challenges and pitfalls that need to be addressed and overcome, respectively. In this chapter, we address the preanalytical quality control and how each of the involved steps may influence the final result. Following these guidelines and QC metrics may help in obtaining optimal results that will allow the precise and robust assessment of genetic variants in a clinical setting.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  FFPE; Liquid biopsy; Molecular pathology; Next-generation sequencing; Preanalytical variable; Variant calling; ctDNA

Mesh:

Year:  2022        PMID: 35751825     DOI: 10.1007/978-1-0716-2293-3_21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  47 in total

1.  Nucleic acids from long-term preserved FFPE tissues are suitable for downstream analyses.

Authors:  Natalie Ludyga; Barbara Grünwald; Omid Azimzadeh; Sonja Englert; Heinz Höfler; Soile Tapio; Michaela Aubele
Journal:  Virchows Arch       Date:  2012-01-22       Impact factor: 4.064

Review 2.  Coming of age: ten years of next-generation sequencing technologies.

Authors:  Sara Goodwin; John D McPherson; W Richard McCombie
Journal:  Nat Rev Genet       Date:  2016-05-17       Impact factor: 53.242

Review 3.  Library preparation for next generation sequencing: A review of automation strategies.

Authors:  J F Hess; T A Kohl; M Kotrová; K Rönsch; T Paprotka; V Mohr; T Hutzenlaub; M Brüggemann; R Zengerle; S Niemann; N Paust
Journal:  Biotechnol Adv       Date:  2020-03-19       Impact factor: 14.227

4.  Deamination Effects in Formalin-Fixed, Paraffin-Embedded Tissue Samples in the Era of Precision Medicine.

Authors:  Seokhwi Kim; Charny Park; Yongick Ji; Deok G Kim; Hyunsik Bae; Michael van Vrancken; Duk-Hwan Kim; Kyoung-Mee Kim
Journal:  J Mol Diagn       Date:  2016-11-10       Impact factor: 5.568

Review 5.  Sequence artifacts in DNA from formalin-fixed tissues: causes and strategies for minimization.

Authors:  Hongdo Do; Alexander Dobrovic
Journal:  Clin Chem       Date:  2014-11-24       Impact factor: 8.327

6.  Detection of circulating tumor DNA in early- and late-stage human malignancies.

Authors:  Chetan Bettegowda; Mark Sausen; Rebecca J Leary; Isaac Kinde; Yuxuan Wang; Nishant Agrawal; Bjarne R Bartlett; Hao Wang; Brandon Luber; Rhoda M Alani; Emmanuel S Antonarakis; Nilofer S Azad; Alberto Bardelli; Henry Brem; John L Cameron; Clarence C Lee; Leslie A Fecher; Gary L Gallia; Peter Gibbs; Dung Le; Robert L Giuntoli; Michael Goggins; Michael D Hogarty; Matthias Holdhoff; Seung-Mo Hong; Yuchen Jiao; Hartmut H Juhl; Jenny J Kim; Giulia Siravegna; Daniel A Laheru; Calogero Lauricella; Michael Lim; Evan J Lipson; Suely Kazue Nagahashi Marie; George J Netto; Kelly S Oliner; Alessandro Olivi; Louise Olsson; Gregory J Riggins; Andrea Sartore-Bianchi; Kerstin Schmidt; le-Ming Shih; Sueli Mieko Oba-Shinjo; Salvatore Siena; Dan Theodorescu; Jeanne Tie; Timothy T Harkins; Silvio Veronese; Tian-Li Wang; Jon D Weingart; Christopher L Wolfgang; Laura D Wood; Dongmei Xing; Ralph H Hruban; Jian Wu; Peter J Allen; C Max Schmidt; Michael A Choti; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos; Luis A Diaz
Journal:  Sci Transl Med       Date:  2014-02-19       Impact factor: 17.956

Review 7.  Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group.

Authors:  F Mosele; J Remon; J Mateo; C B Westphalen; F Barlesi; M P Lolkema; N Normanno; A Scarpa; M Robson; F Meric-Bernstam; N Wagle; A Stenzinger; J Bonastre; A Bayle; S Michiels; I Bièche; E Rouleau; S Jezdic; J-Y Douillard; J S Reis-Filho; R Dienstmann; F André
Journal:  Ann Oncol       Date:  2020-08-24       Impact factor: 32.976

8.  Profiling cancer gene mutations in clinical formalin-fixed, paraffin-embedded colorectal tumor specimens using targeted next-generation sequencing.

Authors:  Liangxuan Zhang; Liangjing Chen; Sachin Sah; Gary J Latham; Rajesh Patel; Qinghua Song; Hartmut Koeppen; Rachel Tam; Erica Schleifman; Haider Mashhedi; Sreedevi Chalasani; Ling Fu; Teiko Sumiyoshi; Rajiv Raja; William Forrest; Garret M Hampton; Mark R Lackner; Priti Hegde; Shidong Jia
Journal:  Oncologist       Date:  2014-03-24

9.  Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection.

Authors:  Stefanie S Jeffrey; Elodie Sollier-Christen; Haiyan E Liu; Melanie Triboulet; Amin Zia; Meghah Vuppalapaty; Evelyn Kidess-Sigal; John Coller; Vanita S Natu; Vida Shokoohi; James Che; Corinne Renier; Natalie H Chan; Violet R Hanft
Journal:  NPJ Genom Med       Date:  2017-11-01       Impact factor: 8.617

10.  The minimal amount of starting DNA for Agilent's hybrid capture-based targeted massively parallel sequencing.

Authors:  Jongsuk Chung; Dae-Soon Son; Hyo-Jeong Jeon; Kyoung-Mee Kim; Gahee Park; Gyu Ha Ryu; Woong-Yang Park; Donghyun Park
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

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