Literature DB >> 28741518

Companion and Complementary Diagnostics: Clinical and Regulatory Perspectives.

Jan Trøst Jørgensen1.   

Abstract

Nearly 20 years ago, the US Food and Drug Administration (FDA) approved the first companion diagnostic assay and, today, this type of test governs the use of 18 different drugs. With the appearance of PD-L1 immunohistochemistry (IHC) assays linked to the use of different PD-1/PD-L1 immune checkpoint inhibitors, a new class of predictive biomarker assays has emerged; the complementary diagnostics. These are predictive biomarker assays that aid the therapeutic decision process but are not a prerequisite for receiving a specific drug, as is the case with companion diagnostics. Both types of assay have the individual patient as a point of reference and they will be decisive for the move toward a more individualized pharmacotherapy. They are also considered important elements in the realization of precision medicine. Here, I discuss both companion and complementary diagnostics.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PD-L1; companion diagnostics; complementary diagnostics; immune checkpoint inhibitors; personalized medicine; precision medicine

Mesh:

Substances:

Year:  2016        PMID: 28741518     DOI: 10.1016/j.trecan.2016.10.013

Source DB:  PubMed          Journal:  Trends Cancer        ISSN: 2405-8025


  10 in total

Review 1.  Companion diagnostics-a tool to improve pharmacotherapy.

Authors:  Jan Trøst Jørgensen; Maria Hersom
Journal:  Ann Transl Med       Date:  2016-12

Review 2.  Trial watch: Immune checkpoint blockers for cancer therapy.

Authors:  Claire Vanpouille-Box; Claire Lhuillier; Lucillia Bezu; Fernando Aranda; Takahiro Yamazaki; Oliver Kepp; Jitka Fucikova; Radek Spisek; Sandra Demaria; Silvia C Formenti; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2017-08-31       Impact factor: 8.110

3.  Prospective bladder cancer infrastructure for experimental and observational research on bladder cancer: study protocol for the 'trials within cohorts' study ProBCI.

Authors:  Anke Richters; Richard P Meijer; Niven Mehra; Joost L Boormans; Antoine G van der Heijden; Michiel S van der Heijden; Lambertus A Kiemeney; Katja K Aben
Journal:  BMJ Open       Date:  2021-05-18       Impact factor: 2.692

4.  Preparation of the standard cell lines for reference mutations in cancer gene-panels by genome editing in HEK 293 T/17 cells.

Authors:  Takayoshi Suzuki; Yoshinori Tsukumo; Chie Furihata; Mikihiko Naito; Arihiro Kohara
Journal:  Genes Environ       Date:  2020-02-11

Review 5.  Benefits of functional assays in personalized cancer medicine: more than just a proof-of-concept.

Authors:  Christophe Bounaix Morand du Puch; Mathieu Vanderstraete; Stéphanie Giraud; Christophe Lautrette; Niki Christou; Muriel Mathonnet
Journal:  Theranostics       Date:  2021-09-21       Impact factor: 11.556

Review 6.  Biomarkers for Alzheimer's Disease: Context of Use, Qualification, and Roadmap for Clinical Implementation.

Authors:  Jeffrey Cummings; Jefferson Kinney
Journal:  Medicina (Kaunas)       Date:  2022-07-19       Impact factor: 2.948

Review 7.  Changes in Companion Diagnostic Labelling: Implementation of FDA's April 2020 Guidance for Industry for In Vitro CDx Labeling for Specific Oncology Therapeutic Groups.

Authors:  Lisa Cooper; Joyce Chen
Journal:  Ther Innov Regul Sci       Date:  2022-06-10       Impact factor: 1.337

Review 8.  Translational precision medicine: an industry perspective.

Authors:  Dominik Hartl; Valeria de Luca; Anna Kostikova; Jason Laramie; Scott Kennedy; Enrico Ferrero; Richard Siegel; Martin Fink; Sohail Ahmed; John Millholland; Alexander Schuhmacher; Markus Hinder; Luca Piali; Adrian Roth
Journal:  J Transl Med       Date:  2021-06-05       Impact factor: 5.531

9.  Formalin fixation for optimal concordance of programmed death-ligand 1 immunostaining between cytologic and histologic specimens from patients with non-small cell lung cancer.

Authors:  Bregje M Koomen; Jose van der Starre-Gaal; Judith M Vonk; Jan H von der Thüsen; Jacqueline J C van der Meij; Kim Monkhorst; Stefan M Willems; Wim Timens; Nils A 't Hart
Journal:  Cancer Cytopathol       Date:  2020-10-27       Impact factor: 5.284

10.  Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Authors:  Harini Veeraraghavan; Claire F Friedman; Deborah F DeLair; Josip Ninčević; Yuki Himoto; Silvio G Bruni; Giovanni Cappello; Iva Petkovska; Stephanie Nougaret; Ines Nikolovski; Ahmet Zehir; Nadeem R Abu-Rustum; Carol Aghajanian; Dmitriy Zamarin; Karen A Cadoo; Luis A Diaz; Mario M Leitao; Vicky Makker; Robert A Soslow; Jennifer J Mueller; Britta Weigelt; Yulia Lakhman
Journal:  Sci Rep       Date:  2020-10-20       Impact factor: 4.379

  10 in total

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