Literature DB >> 28843709

PD-L1 in breast cancer: comparative analysis of 3 different antibodies.

Tejashree Karnik1, Bruce F Kimler2, Fang Fan1, Ossama Tawfik3.   

Abstract

The interaction of programmed cell death-1 and its ligand-1 (PD-L1) serves as a regulatory check against excessive immune response to antigen and autoimmunity. We compared the performance of 3 different PD-L1 antibodies (Ventana SP263, Dako 22C3, and BioCare RbMCAL10 antibodies) in 136 invasive ductal carcinoma specimens including 43 primary, 48 locally metastatic, and 46 distantly metastatic diseases. PD-L1 expression was correlated with clinicopathologic parameters including tumor size, grade, lymphovascular invasion, estrogen receptor, progesterone receptor, HER2, Ki67, molecular type, and triple-negative status. There was excellent agreement between the 3 antibodies, with highly significant κ values (P≤.001). PD-L1 expression was more likely to be associated with higher tumor grade and estrogen receptor-negative, progesterone receptor-negative, triple-negative, and highly proliferative tumors (P<.001). When we studied PD-L1 expression at 0, 1%-9%, 10%-49%, and ≥50% cutoff points by the 3 antibodies, there were 20 discordant cases between the antibodies. Sixteen were of inconsequential impact as far as low and high PD-L1 expression. The 4 differences between antibodies did exhibit an interesting pattern of expression, where there was a general agreement between the BioCare and Ventana antibodies with consistently higher PD-L1 expression compared with the Dako antibody. Given the high concordance, it is not surprising that all 3 antibodies demonstrated the same associations with all pathologic and clinical parameters studied. Standardization studies to identify reliable biomarkers that help in patient selection for immune therapy to improve the risk-benefit ratio for these drugs are still needed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Comparative analysis; Immunohistochemistry; Invasive ductal carcinoma; Programmed cell death ligand-1; Three antibodies

Mesh:

Substances:

Year:  2017        PMID: 28843709     DOI: 10.1016/j.humpath.2017.08.010

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  19 in total

1.  Prognostic Role of Immune Markers in Triple Negative Breast Carcinoma.

Authors:  Hulya Sahin Ozkan; Mustafa Umit Ugurlu; Perran Fulden Yumuk; Handan Kaya
Journal:  Pathol Oncol Res       Date:  2020-07-17       Impact factor: 3.201

Review 2.  Potential Predictive and Prognostic Value of Biomarkers Related to Immune Checkpoint Inhibitor Therapy of Triple-Negative Breast Cancer.

Authors:  Qiaorui Tan; Sha Yin; Dongdong Zhou; Yajing Chi; Xiaochu Man; Huihui Li
Journal:  Front Oncol       Date:  2022-04-29       Impact factor: 5.738

3.  Evaluation PD-L1, CD8 and CD20 as early predictor and tracking markers for breast cancer (BC) in Egypt.

Authors:  Manar M Hamed; Mona S Gouida; Sameh R Abd El-Aziz; Ahmed M A El-Sokkary
Journal:  Heliyon       Date:  2022-05-22

Review 4.  Improving Breast Cancer Responses to Immunotherapy-a Search for the Achilles Heel of the Tumor Microenvironment.

Authors:  Sarah Jenkins; Robert Wesolowski; Margaret E Gatti-Mays
Journal:  Curr Oncol Rep       Date:  2021-03-23       Impact factor: 5.075

5.  Comparison of three scoring methods using the FDA-approved 22C3 immunohistochemistry assay to evaluate PD-L1 expression in breast cancer and their association with clinicopathologic factors.

Authors:  Hua Guo; Qingqing Ding; Yun Gong; Michael Z Gilcrease; Min Zhao; Jun Zhao; Dawen Sui; Yun Wu; Hui Chen; Hui Liu; Jinxia Zhang; Erika Resetkova; Stacy L Moulder; Wei-Lien Wang; Lei Huo
Journal:  Breast Cancer Res       Date:  2020-06-23       Impact factor: 6.466

Review 6.  Programmed Cell Death Ligand 1 in Breast Cancer: Technical Aspects, Prognostic Implications, and Predictive Value.

Authors:  Federica Miglietta; Gaia Griguolo; Valentina Guarneri; Maria Vittoria Dieci
Journal:  Oncologist       Date:  2019-08-23

7.  Analytical Concordance of PD-L1 Assays Utilizing Antibodies From FDA-Approved Diagnostics in Advanced Cancers: A Systematic Literature Review.

Authors:  Emily A Prince; Jenine K Sanzari; Dimple Pandya; David Huron; Robin Edwards
Journal:  JCO Precis Oncol       Date:  2021-06-08

8.  Determining PD-L1 Status in Patients With Triple-Negative Breast Cancer: Lessons Learned From IMpassion130.

Authors:  Sunil S Badve; Frédérique Penault-Llorca; Jorge S Reis-Filho; Regula Deurloo; Kalliopi P Siziopikou; Corrado D'Arrigo; Giuseppe Viale
Journal:  J Natl Cancer Inst       Date:  2022-05-09       Impact factor: 11.816

9.  The Expression of Selected Factors Related to T Lymphocyte Activity in Canine Mammary Tumors.

Authors:  Joanna K Bujak; Iwona M Szopa; Rafał Pingwara; Olga Kruczyk; Natalia Krzemińska; Joanna Mucha; Kinga Majchrzak-Kuligowska
Journal:  Int J Mol Sci       Date:  2020-03-26       Impact factor: 5.923

Review 10.  "Interchangeability" of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy.

Authors:  Emina Torlakovic; Hyun J Lim; Julien Adam; Penny Barnes; Gilbert Bigras; Anthony W H Chan; Carol C Cheung; Jin-Haeng Chung; Christian Couture; Pierre O Fiset; Daichi Fujimoto; Gang Han; Fred R Hirsch; Marius Ilie; Diana Ionescu; Chao Li; Enrico Munari; Katsuhiro Okuda; Marianne J Ratcliffe; David L Rimm; Catherine Ross; Rasmus Røge; Andreas H Scheel; Ross A Soo; Paul E Swanson; Maria Tretiakova; Ka F To; Gilad W Vainer; Hangjun Wang; Zhaolin Xu; Dirk Zielinski; Ming-Sound Tsao
Journal:  Mod Pathol       Date:  2019-08-05       Impact factor: 7.842

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