Literature DB >> 23680131

Robustness of amplicon deep sequencing underlines its utility in clinical applications.

Vera Grossmann1, Andreas Roller, Hans-Ulrich Klein, Sandra Weissmann, Wolfgang Kern, Claudia Haferlach, Martin Dugas, Torsten Haferlach, Susanne Schnittger, Alexander Kohlmann.   

Abstract

We investigated the robustness of amplicon deep sequencing to study its utility in routine clinical applications offering patient-specific individualized assays for molecular disease characterization and monitoring. Amplicons were designed targeting RUNX1, CEBPA, CBL, NRAS, KRAS, DNMT3A, EZH2, and TP53 using different PCR amplification strategies and Roche GS FLX Titanium and Illumina MiSeq sequencing platforms. Thirty-three patients with leukemia were selected as an exemplary cohort representing heterogeneous cancer specimens. Both standard two-primer amplification and four-primer microfluidics PCRs yielded highly linear characteristics in detecting molecular alterations in series of dilution experiments. By fitting a linear mixed-effects model to the logarithmized data, a slope β of -1.000 (95% CI, ±0.046) was obtained for two-primer assays and of -0.998 (95% CI, ±0.105) was obtained for four-primer assays, which represented a near-perfect decrease of the mutation load. Furthermore, data are presented on technical precision, limit of detection, and occurrence of small subclones in TP53- and RUNX1-mutated patients to identify clonal disease progression and residual disease. We demonstrate that, depending on the local sequence context for each amplicon, the limit of detection of the assay cannot be lower than a range of 0.25% to 3.5%. In conclusion, amplicon deep sequencing enabled the assessment of mutations in a highly robust manner and across a broad range of relative frequencies of mutations. This assay detects residual disease or identifies mutations with predictive relevance to direct treatment strategies.
Copyright © 2013 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23680131     DOI: 10.1016/j.jmoldx.2013.03.003

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  24 in total

1.  Next-generation deep sequencing improves detection of BCR-ABL1 kinase domain mutations emerging under tyrosine kinase inhibitor treatment of chronic myeloid leukemia patients in chronic phase.

Authors:  Katerina Machova Polakova; Vojtech Kulvait; Adela Benesova; Jana Linhartova; Hana Klamova; Monika Jaruskova; Caterina de Benedittis; Torsten Haferlach; Michele Baccarani; Giovanni Martinelli; Tomas Stopka; Thomas Ernst; Andreas Hochhaus; Alexander Kohlmann; Simona Soverini
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-04       Impact factor: 4.553

2.  Next-generation deep-sequencing detects multiple clones of CALR mutations in patients with BCR-ABL1 negative MPN.

Authors:  S Jeromin; A Kohlmann; M Meggendorfer; S Schindela; K Perglerová; N Nadarajah; W Kern; C Haferlach; T Haferlach; S Schnittger
Journal:  Leukemia       Date:  2015-07-29       Impact factor: 11.528

3.  SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients.

Authors:  S Jeromin; S Weissmann; C Haferlach; F Dicker; K Bayer; V Grossmann; T Alpermann; A Roller; A Kohlmann; T Haferlach; W Kern; S Schnittger
Journal:  Leukemia       Date:  2013-09-12       Impact factor: 11.528

4.  Genetic characterization of MYD88-mutated lymphoplasmacytic lymphoma in comparison with MYD88-mutated chronic lymphocytic leukemia.

Authors:  C Baer; F Dicker; W Kern; T Haferlach; C Haferlach
Journal:  Leukemia       Date:  2016-11-14       Impact factor: 11.528

5.  Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Hossein Khiabanian; Valeria Spina; Carmela Ciardullo; Alessio Bruscaggin; Rosella Famà; Silvia Rasi; Sara Monti; Clara Deambrogi; Lorenzo De Paoli; Jiguang Wang; Valter Gattei; Anna Guarini; Robin Foà; Raul Rabadan; Gianluca Gaidano
Journal:  Blood       Date:  2014-02-05       Impact factor: 22.113

6.  The role of different genetic subtypes of CEBPA mutated AML.

Authors:  A Fasan; C Haferlach; T Alpermann; S Jeromin; V Grossmann; C Eder; S Weissmann; F Dicker; A Kohlmann; S Schindela; W Kern; T Haferlach; S Schnittger
Journal:  Leukemia       Date:  2013-09-23       Impact factor: 11.528

7.  Emergence and evolution of TP53 mutations are key features of disease progression in myelodysplastic patients with lower-risk del(5q) treated with lenalidomide.

Authors:  Laurence Lodé; Audrey Ménard; Laurent Flet; Steven Richebourg; Marion Loirat; Marion Eveillard; Yannick Le Bris; Catherine Godon; Olivier Theisen; Anne-Laure Gagez; Guillaume Cartron; Thérèse Commes-Maerten; Bruno Villemagne; Odile Luycx; Pascal Godmer; Catherine Pellat-Deceunynck; Thierry Soussi; Marie C Béné; Jacques Delaunay; Pierre Peterlin
Journal:  Haematologica       Date:  2017-12-21       Impact factor: 9.941

8.  Monitoring of residual disease by next-generation deep-sequencing of RUNX1 mutations can identify acute myeloid leukemia patients with resistant disease.

Authors:  A Kohlmann; N Nadarajah; T Alpermann; V Grossmann; S Schindela; F Dicker; A Roller; W Kern; C Haferlach; S Schnittger; T Haferlach
Journal:  Leukemia       Date:  2013-08-20       Impact factor: 11.528

9.  On statistical modeling of sequencing noise in high depth data to assess tumor evolution.

Authors:  Raul Rabadan; Gyan Bhanot; Sonia Marsilio; Nicholas Chiorazzi; Laura Pasqualucci; Hossein Khiabanian
Journal:  J Stat Phys       Date:  2017-12-21       Impact factor: 1.548

10.  Inter-Laboratory Evaluation of a Next-Generation Sequencing Panel for Acute Myeloid Leukemia.

Authors:  Karl Haslam; Mark A Catherwood; Edwina Dobbin; Anne Sproul; Stephen E Langabeer; Ken I Mills
Journal:  Mol Diagn Ther       Date:  2016-10       Impact factor: 4.074

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.