Literature DB >> 29411536

Use of the 22C3 anti-programmed death-ligand 1 antibody to determine programmed death-ligand 1 expression in cytology samples obtained from non-small cell lung cancer patients.

Marius Ilie1,2,3, Jonathan Juco4, Lingkang Huang4, Veronique Hofman1,2,3, Shirin Khambata-Ford4, Paul Hofman1,2,3.   

Abstract

BACKGROUND: Pembrolizumab monotherapy is a standard-of-care treatment for the first- and second-line treatment of advanced non-small cell lung cancer with programmed death-ligand 1 (PD-L1) tumor proportion score (TPS) values ≥ 50% and ≥ 1%, respectively. PD-L1 testing with the PD-L1 immunohistochemistry (IHC) 22C3 pharmDx companion assay has been validated on tumor tissue with the Dako Autostainer Link 48 (ASL48). 22C3 anti-PD-L1 antibody-based laboratory-developed tests (LDTs) compatible with other autostainers and cytology samples are essential to support pembrolizumab treatment decisions across institutions globally.
METHODS: ASL48 and BenchMark Ultra LDTs were optimized for the evaluation of cytology samples through comparisons with cell lines with known PD-L1 expression levels (strong, moderate, and negative). The PD-L1 TPS was then evaluated for 70 paired biopsy and cytology samples (bronchial washes, n = 40; pleural effusions, n = 30) with these LDTs. Biopsy and cytology LDT TPS values were also compared with a subset of biopsy samples (n = 37) evaluated with the PD-L1 IHC 22C3 pharmDx assay on the ASL48.
RESULTS: Intraclass correlation coefficients of 0.884 to 0.898 were observed for biopsy samples versus cytology samples with the ASL48 and BenchMark Ultra LDTs. Concordance was high, regardless of the TPS cut point (<1% vs ≥ 1% and <50% vs ≥ 50%), sample type (pleural effusion vs bronchial wash), or tumor histology (adenocarcinoma vs squamous cell carcinoma). Concordance was high for each LDT versus the PD-L1 IHC 22C3 pharmDx assay.
CONCLUSIONS: ASL48 and BenchMark Ultra 22C3 antibody concentrate-based LDTs have been validated for PD-L1 testing in cytology samples, and they will support reliable, high-quality PD-L1 testing across regions globally. Cancer Cytopathol 2018;126:264-74.
© 2018 American Cancer Society. © 2018 American Cancer Society.

Entities:  

Keywords:  biomarker; cytology; immunohistochemistry; non-small cell lung cancer; programmed death-ligand 1

Mesh:

Substances:

Year:  2018        PMID: 29411536     DOI: 10.1002/cncy.21977

Source DB:  PubMed          Journal:  Cancer Cytopathol        ISSN: 1934-662X            Impact factor:   5.284


  26 in total

1.  Implementation of PD-L1 22C3 IHC pharmDxTM in Cell Block Preparations of Lung Cancer: Concordance with Surgical Resections and Technical Validation of CytoLyt® Prefixation.

Authors:  Si Kei Lou; Hyang Mi Ko; Tomonari Kinoshita; Scott MacDonald; Jessica Weiss; Katarzyna Czarnecka-Kujawa; Scott L Boerner; Kazuhiro Yasufuku; Ming-Sound Tsao; Joerg Schwock
Journal:  Acta Cytol       Date:  2020-06-29       Impact factor: 2.319

2.  Comparison of PD-L1 expression between paired cytologic and histologic specimens from non-small cell lung cancer patients.

Authors:  C Kuempers; L I S van der Linde; M Reischl; W Vogel; F Stellmacher; M Reck; D Heigener; K F Rabe; J Kirfel; S Perner; L Welker
Journal:  Virchows Arch       Date:  2019-08-07       Impact factor: 4.064

Review 3.  Tumor mutational burden assessment as a predictive biomarker for immunotherapy in lung cancer patients: getting ready for prime-time or not?

Authors:  Simon Heeke; Paul Hofman
Journal:  Transl Lung Cancer Res       Date:  2018-12

4.  Programmed cell death ligand 1 expression in cytologic and surgical non-small cell lung carcinoma specimens from a single institution: Association with clinicopathologic features and molecular alterations.

Authors:  Ping Mei; Konstantin Shilo; Lai Wei; Rulong Shen; Dena Tonkovich; Zaibo Li
Journal:  Cancer Cytopathol       Date:  2019-04-26       Impact factor: 5.284

5.  First-line immunotherapy for patients with advanced stage or metastatic non-small cell lung cancer…finally what threshold of PD-L1 expression on tumor cells?

Authors:  Paul Hofman
Journal:  Transl Lung Cancer Res       Date:  2019-10

6.  Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients.

Authors:  Marius Ilié; Mélanie Ngo-Mai; Elodie Long-Mira; Sandra Lassalle; Catherine Butori; Coraline Bence; Marame Hamila; Véronique Hofman; Paul Hofman
Journal:  J Vis Exp       Date:  2018-09-25       Impact factor: 1.355

7.  Predictive potential and need for standardization of PD-L1 immunohistochemistry.

Authors:  Spasenija Savic Prince; Lukas Bubendorf
Journal:  Virchows Arch       Date:  2018-09-01       Impact factor: 4.064

Review 8.  Immunocytochemistry for predictive biomarker testing in lung cancer cytology.

Authors:  Deepali Jain; Aruna Nambirajan; Alain Borczuk; Gang Chen; Yuko Minami; Andre L Moreira; Noriko Motoi; Mauro Papotti; Natasha Rekhtman; Prudence A Russell; Spasenija Savic Prince; Yasushi Yatabe; Lukas Bubendorf
Journal:  Cancer Cytopathol       Date:  2019-05-03       Impact factor: 5.284

Review 9.  PD-L1 Testing in Cytological Non-Small Cell Lung Cancer Specimens: A Comparison with Biopsies and Review of the Literature.

Authors:  Mohammed S I Mansour; Kajsa Ericson Lindquist; Tomas Seidal; Ulrich Mager; Rikard Mohlin; Lena Tran; Kim Hejny; Benjamin Holmgren; Despoina Violidaki; Katalin Dobra; Annika Dejmek; Maria Planck; Hans Brunnström
Journal:  Acta Cytol       Date:  2021-07-07       Impact factor: 2.319

Review 10.  Selecting the optimal immunotherapy regimen in driver-negative metastatic NSCLC.

Authors:  Michael J Grant; Roy S Herbst; Sarah B Goldberg
Journal:  Nat Rev Clin Oncol       Date:  2021-06-24       Impact factor: 66.675

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