Literature DB >> 31026600

Clinical Validation of a Cell-Free DNA Gene Panel.

Ju Cheng1, Yi Cao1, Allison MacLeay1, Jochen K Lennerz1, Aymen Baig1, Ryan P Frazier1, Jesse Lee1, Krista Hu1, Maciej Pacula1, Enrique Meneses1, Hayley Robinson1, Julie M Batten1, Priscilla K Brastianos2, Rebecca S Heist2, Aditya Bardia2, Long P Le1, A John Iafrate3.   

Abstract

The use of liquid biopsies to identify driver mutations in patients with solid tumors holds great promise for performing targeted therapy selection, monitoring disease progression, and detecting treatment resistance mechanisms. We describe herein the development and clinical validation of a 28-gene cell-free DNA panel that targets the most common genetic alterations in solid tumors. Bioinformatic and variant filtering solutions were developed to improve test sensitivity and specificity. The panel and these tools were used to analyze commercially available controls, allowing establishment of a limit of detection allele fraction cutoff of 0.25%, with 100% (95% CI, 81.5%-100%) specificity and 89.8% (95% CI, 81.0%-94.9%) sensitivity. In addition, we analyzed a total of 163 blood samples from patients with metastatic cancer (n = 123) and demonstrated a >90% sensitivity for detecting previously identified expected mutations. Longitudinal monitoring of patients revealed a strong correlation of variant allele frequency changes and clinical outcome. Additional clinically relevant information included identification of resistance mutations in patients receiving targeted treatment and detection of complex patterns of mutational heterogeneity. Achieving lower limits of detection will require additional improvements to molecular barcoding; however, these data strongly support clinical implementation of cell-free DNA panels in advanced cancer patients.
Copyright © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31026600     DOI: 10.1016/j.jmoldx.2019.02.008

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


  4 in total

Review 1.  Strategies for the successful implementation of plasma-based NSCLC genotyping in clinical practice.

Authors:  Charu Aggarwal; Christian D Rolfo; Geoffrey R Oxnard; Jhanelle E Gray; Lynette M Sholl; David R Gandara
Journal:  Nat Rev Clin Oncol       Date:  2020-09-11       Impact factor: 66.675

2.  Use of Spiked Normalizers to More Precisely Quantify Tumor Markers and Viral Genomes by Massive Parallel Sequencing of Plasma DNA.

Authors:  Margaret L Gulley; Sandra Elmore; Gaorav P Gupta; Sunil Kumar; Matthew Egleston; Ian J Hoskins; Aaron Garnett
Journal:  J Mol Diagn       Date:  2020-02-07       Impact factor: 5.568

Review 3.  Liquid Biopsies: Applications for Cancer Diagnosis and Monitoring.

Authors:  Ivana Martins; Ilda Patrícia Ribeiro; Joana Jorge; Ana Cristina Gonçalves; Ana Bela Sarmento-Ribeiro; Joana Barbosa Melo; Isabel Marques Carreira
Journal:  Genes (Basel)       Date:  2021-02-27       Impact factor: 4.096

4.  Validation of a liquid biopsy assay with molecular and clinical profiling of circulating tumor DNA.

Authors:  Justin D Finkle; Hala Boulos; Terri M Driessen; Christine Lo; Richard A Blidner; Ashraf Hafez; Aly A Khan; Ariane Lozac'hmeur; Kelly E McKinnon; Jason Perera; Wei Zhu; Afshin Dowlati; Kevin P White; Robert Tell; Nike Beaubier
Journal:  NPJ Precis Oncol       Date:  2021-07-02
  4 in total

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