Literature DB >> 35294956

Clinical and analytical validation of FoundationOne®CDx, a comprehensive genomic profiling assay for solid tumors.

Coren A Milbury1, James Creeden2, Wai-Ki Yip1, David L Smith3, Varun Pattani1, Kristi Maxwell4, Bethany Sawchyn5, Ole Gjoerup5, Wei Meng1, Joel Skoletsky1, Alvin D Concepcion1, Yanhua Tang1, Xiaobo Bai1, Ninad Dewal1, Pei Ma1, Shannon T Bailey1, James Thornton1, Dean C Pavlick6, Garrett M Frampton6, Daniel Lieber7, Jared White7, Christine Burns1, Christine Vietz1.   

Abstract

FoundationOne®CDx (F1CDx) is a United States (US) Food and Drug Administration (FDA)-approved companion diagnostic test to identify patients who may benefit from treatment in accordance with the approved therapeutic product labeling for 28 drug therapies. F1CDx utilizes next-generation sequencing (NGS)-based comprehensive genomic profiling (CGP) technology to examine 324 cancer genes in solid tumors. F1CDx reports known and likely pathogenic short variants (SVs), copy number alterations (CNAs), and select rearrangements, as well as complex biomarkers including tumor mutational burden (TMB) and microsatellite instability (MSI), in addition to genomic loss of heterozygosity (gLOH) in ovarian cancer. CGP services can reduce the complexity of biomarker testing, enabling precision medicine to improve treatment decision-making and outcomes for cancer patients, but only if test results are reliable, accurate, and validated clinically and analytically to the highest standard available. The analyses presented herein demonstrate the extensive analytical and clinical validation supporting the F1CDx initial and subsequent FDA approvals to ensure high sensitivity, specificity, and reliability of the data reported. The analytical validation included several in-depth evaluations of F1CDx assay performance including limit of detection (LoD), limit of blank (LoB), precision, and orthogonal concordance for SVs (including base substitutions [SUBs] and insertions/deletions [INDELs]), CNAs (including amplifications and homozygous deletions), genomic rearrangements, and select complex biomarkers. The assay validation of >30,000 test results comprises a considerable and increasing body of evidence that supports the clinical utility of F1CDx to match patients with solid tumors to targeted therapies or immunotherapies based on their tumor's genomic alterations and biomarkers. F1CDx meets the clinical needs of providers and patients to receive guideline-based biomarker testing, helping them keep pace with a rapidly evolving field of medicine.

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Year:  2022        PMID: 35294956      PMCID: PMC8926248          DOI: 10.1371/journal.pone.0264138

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  113 in total

1.  Breaking a vicious cycle.

Authors:  Daniel F Hayes; Jeff Allen; Carolyn Compton; Gary Gustavsen; Debra G B Leonard; Robert McCormack; Lee Newcomer; Kristin Pothier; David Ransohoff; Richard L Schilsky; Ellen Sigal; Sheila E Taube; Sean R Tunis
Journal:  Sci Transl Med       Date:  2013-07-31       Impact factor: 17.956

2.  Overall survival in patients with pancreatic cancer receiving matched therapies following molecular profiling: a retrospective analysis of the Know Your Tumor registry trial.

Authors:  Michael J Pishvaian; Edik M Blais; Jonathan R Brody; Emily Lyons; Patricia DeArbeloa; Andrew Hendifar; Sam Mikhail; Vincent Chung; Vaibhav Sahai; Davendra P S Sohal; Sara Bellakbira; Dzung Thach; Lola Rahib; Subha Madhavan; Lynn M Matrisian; Emanuel F Petricoin
Journal:  Lancet Oncol       Date:  2020-03-02       Impact factor: 41.316

3.  Budget impact analysis of comprehensive genomic profiling in patients with advanced non-small cell lung cancer.

Authors:  James Signorovitch; Zhou Zhou; Jason Ryan; Rachel Anhorn; Anita Chawla
Journal:  J Med Econ       Date:  2018-12-21       Impact factor: 2.448

4.  U.S. Food and Drug Administration anticancer drug approval trends from 2016 to 2018 for lung, colorectal, breast, and prostate cancer.

Authors:  Tatiane Bomfim Ribeiro; Adalton Ribeiro; Luíza de Oliveira Rodrigues; Guilherme Harada; Moacyr Roberto Cuce Nobre
Journal:  Int J Technol Assess Health Care       Date:  2019-11-28       Impact factor: 2.188

Review 5.  Tumor Mutational Burden as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors: A Review of Current Evidence.

Authors:  Samuel J Klempner; David Fabrizio; Shalmali Bane; Marcia Reinhart; Tim Peoples; Siraj M Ali; Ethan S Sokol; Garrett Frampton; Alexa B Schrock; Rachel Anhorn; Prasanth Reddy
Journal:  Oncologist       Date:  2019-10-02

Review 6.  Cancer genome landscapes.

Authors:  Bert Vogelstein; Nickolas Papadopoulos; Victor E Velculescu; Shibin Zhou; Luis A Diaz; Kenneth W Kinzler
Journal:  Science       Date:  2013-03-29       Impact factor: 47.728

7.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

8.  Effect of a Collaboration Between a Health Plan, Oncology Practice, and Comprehensive Genomic Profiling Company from the Payer Perspective.

Authors:  Mitchell Reitsma; John Fox; Pierre Vanden Borre; Matthew Cavanaugh; Yakov Chudnovsky; Rachel L Erlich; Thomas E Gribbin; Rachel Anhorn
Journal:  J Manag Care Spec Pharm       Date:  2019-01-11

9.  Measuring coverage and accuracy of whole-exome sequencing in clinical context.

Authors:  Sek Won Kong; In-Hee Lee; Xuanshi Liu; Joel N Hirschhorn; Kenneth D Mandl
Journal:  Genet Med       Date:  2018-04-12       Impact factor: 8.822

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  2 in total

1.  Comprehensive Genomic Profiling in the Management of Ovarian Cancer-National Results from Croatia.

Authors:  Dora Čerina; Višnja Matković; Kristina Katić; Ingrid Belac Lovasić; Robert Šeparović; Ivana Canjko; Žarko Bajić; Eduard Vrdoljak
Journal:  J Pers Med       Date:  2022-07-19

2.  Comprehensive Genomic Profiling (CGP)-Informed Personalized Molecular Residual Disease (MRD) Detection: An Exploratory Analysis from the PREDATOR Study of Metastatic Colorectal Cancer (mCRC) Patients Undergoing Surgical Resection.

Authors:  Sara Lonardi; Halla Nimeiri; Chang Xu; Daniel R Zollinger; Russell W Madison; Alexander D Fine; Ole Gjoerup; Cosimo Rasola; Valentina Angerilli; Shruti Sharma; Hsin-Ta Wu; Charuta C Palsuledesai; Meenakshi Malhotra; Alexey Aleshin; Fotios Loupakis; Elise Renkonen; Priti Hegde; Matteo Fassan
Journal:  Int J Mol Sci       Date:  2022-09-29       Impact factor: 6.208

  2 in total

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