| Literature DB >> 31584451 |
Carol C Cheung1,2, Penny Barnes3, Gilbert Bigras4, Scott Boerner1,2, Jagdish Butany1,2, Fiorella Calabrese5,6, Christian Couture7, Jean Deschenes8, Hala El-Zimaity9, Gabor Fischer10, Pierre O Fiset11, John Garratt12, Laurette Geldenhuys3, C Blake Gilks12,13, Marius Ilie14,15, Diana Ionescu16, Hyun J Lim17, Lisa Manning10, Adnan Mansoor18, Robert Riddell2,19, Catherine Ross20, Sinchita Roy-Chowdhuri21, Alan Spatz22,23,11, Paul E Swanson24,25, Victor A Tron2,26, Ming-Sound Tsao1,2, Hangjun Wang22,23,11, Zhaolin Xu3, Emina E Torlakovic12,27,28.
Abstract
Since 2014, programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) checkpoint inhibitors have been approved by various regulatory agencies for the treatment of multiple cancers including melanoma, lung cancer, urothelial carcinoma, renal cell carcinoma, head and neck cancer, classical Hodgkin lymphoma, colorectal cancer, gastroesophageal cancer, hepatocellular cancer, and other solid tumors. Of these approved drug/disease combinations, a subset also has regulatory agency-approved, commercially available companion/complementary diagnostic assays that were clinically validated using data from their corresponding clinical trials. The objective of this document is to provide evidence-based guidance to assist clinical laboratories in establishing fit-for-purpose PD-L1 biomarker assays that can accurately identify patients with specific tumor types who may respond to specific approved immuno-oncology therapies targeting the PD-1/PD-L1 checkpoint. These recommendations are issued as 38 Guideline Statements that address (i) assay development for surgical pathology and cytopathology specimens, (ii) reporting elements, and (iii) quality assurance (including validation/verification, internal quality assurance, and external quality assurance). The intent of this work is to provide recommendations that are relevant to any tumor type, are universally applicable and can be implemented by any clinical immunohistochemistry laboratory performing predictive PD-L1 immunohistochemistry testing.Entities:
Year: 2019 PMID: 31584451 PMCID: PMC6887625 DOI: 10.1097/PAI.0000000000000800
Source DB: PubMed Journal: Appl Immunohistochem Mol Morphol ISSN: 1533-4058
Guideline Statements