Literature DB >> 33589532

PD-L1 expression by Tumor Proportion Score (TPS) and Combined Positive Score (CPS) are similar in non-small cell lung cancer (NSCLC).

Pedro De Marchi1,2, Leticia Ferro Leal3,4, Vinicius Duval da Silva4,5, Eduardo Caetano Albino da Silva5, Vladmir Claudio Cordeiro de Lima6, Rui Manuel Reis3,7,8.   

Abstract

BACKGROUND: For non-small cell lung cancer (NSCLC) the most used method for analysing programmed cell death ligand 1 (PD-L1) expression is the Tumor Proportion Score (TPS). Nevertheless, for other tumour types, the Combined Positive Score (CPS) has been the method of choice. AIM: Evaluate and compare the predictive value of both CPS and TPS as predictors of immunotherapy response in NSCLC, and to evaluate the agreement intra-observer between both methods and inter-observer between two expert lung pathologists.
METHODS: 56 NSCLC patients who were treated with anti-programmed cell death 1 (PD-1)/PD-L1 therapy were included. Two pathologists evaluated all cases independently, considering the sample's adequacy for analysis, and the PD-L1 expression by TPS and CPS.
RESULTS: The Kappa coefficient for adequacy was 0.82 (95% CI 0.67 to 0.97). There was a high agreement between TPS and CPS and a high agreement between pathologists concerning the two methods. The Kappa coefficient between TPS and CPS was 0.85 for both pathologists, and between pathologists was 0.94 and 0.93 for TPS and CPS, respectively.
CONCLUSIONS: Both methods proved to be equally predictive of response to anti-PD-1/PD-L1 therapy. There was both a high intra-observer agreement between the two methods and a high inter-observer agreement between pathologists. This study suggests that CPS could also be used in a routine setting for immunotherapy decision in NSCLC. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  biomarkers; immunohistochemistry; lung neoplasms; tumour

Year:  2021        PMID: 33589532     DOI: 10.1136/jclinpath-2020-206832

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  9 in total

1.  Association of PD-L1 expression, tumor mutational burden and immunotherapy with venous thrombosis in patients with solid organ malignancies.

Authors:  Rajat Thawani; Thomas Kartika; Benjamin Elstrott; Elizabeth Batiuk; Derrick Tao; Sonia Gowda; Lilian Chen; Corinne Lavasseur; Nattapron Tun; Nicholas F Taflin; Joseph Shatzel
Journal:  Thromb Res       Date:  2022-06-30       Impact factor: 10.407

2.  Comparison of the tumor immune microenvironment and checkpoint blockade biomarkers between stage III and IV non-small cell lung cancer.

Authors:  Yinjie Gao; Michelle M Stein; Matthew Kase; Amy L Cummings; Ramit Bharanikumar; Denise Lau; Edward B Garon; Sandip P Patel
Journal:  Cancer Immunol Immunother       Date:  2022-07-26       Impact factor: 6.630

Review 3.  Comparative Analysis of Predictive Biomarkers for PD-1/PD-L1 Inhibitors in Cancers: Developments and Challenges.

Authors:  Fang Yang; Jacqueline F Wang; Yucai Wang; Baorui Liu; Julian R Molina
Journal:  Cancers (Basel)       Date:  2021-12-27       Impact factor: 6.639

4.  An optimized protocol for PD-L1 pathological assessment with patient sample deglycosylation to improve correlation with therapeutic response.

Authors:  Ying-Nai Wang; Heng-Huan Lee; Yongkun Wei; Yu-Yi Chu; Weiya Xia; Michael Wang; Dihua Yu; Mien-Chie Hung
Journal:  STAR Protoc       Date:  2022-02-25

Review 5.  Next Generation Sequencing and Molecular Biomarkers in Ovarian Cancer-An Opportunity for Targeted Therapy.

Authors:  Laura M Harbin; Holly H Gallion; Derek B Allison; Jill M Kolesar
Journal:  Diagnostics (Basel)       Date:  2022-03-29

Review 6.  Multi-Omics Approaches for the Prediction of Clinical Endpoints after Immunotherapy in Non-Small Cell Lung Cancer: A Comprehensive Review.

Authors:  Vincent Bourbonne; Margaux Geier; Ulrike Schick; François Lucia
Journal:  Biomedicines       Date:  2022-05-26

7.  Expression of immune checkpoint regulators, programmed death-ligand 1 (PD-L1/PD-1), cytotoxic T lymphocyte antigen 4 (CTLA-4), and indolaimine-2, 3-deoxygenase (IDO) in uterine mesenchymal tumors.

Authors:  Alireza Samiei; David W Gjertson; Sanaz Memarzadeh; Gottfried E Konecny; Neda A Moatamed
Journal:  Diagn Pathol       Date:  2022-09-14       Impact factor: 3.196

Review 8.  A Screening of Epigenetic Therapeutic Targets for Non-Small Cell Lung Cancer Reveals PADI4 and KDM6B as Promising Candidates.

Authors:  Jéssika Cristina Chagas Lesbon; Taismara Kustro Garnica; Pedro Luiz Porfírio Xavier; Arina Lázaro Rochetti; Rui Manuel Reis; Susanne Müller; Heidge Fukumasu
Journal:  Int J Mol Sci       Date:  2022-10-07       Impact factor: 6.208

Review 9.  Programmed Death-Ligand 1 (PD-L1) as Immunotherapy Biomarker in Breast Cancer.

Authors:  Martín Núñez Abad; Silvia Calabuig-Fariñas; Miriam Lobo de Mena; Susana Torres-Martínez; Clara García González; José Ángel García García; Vega Iranzo González-Cruz; Carlos Camps Herrero
Journal:  Cancers (Basel)       Date:  2022-01-08       Impact factor: 6.639

  9 in total

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