Literature DB >> 29609906

Heterogeneity of PD-L1 Expression Among the Different Histological Components and Metastatic Lymph Nodes in Patients With Resected Lung Adenosquamous Carcinoma.

Yiwei Liu1, Zhengwei Dong2, Tao Jiang1, Likun Hou2, Fengying Wu1, Guanghui Gao1, Yayi He1, Jing Zhao1, Xuefei Li3, Chao Zhao3, Wei Zhang2, Qinrui Tian1, Yingying Pan1, Yan Wang1, Shuo Yang1, Chunyan Wu4, Shengxiang Ren5, Caicun Zhou1, Jun Zhang6, Fred R Hirsch7.   

Abstract

INTRODUCTION: Programmed death-ligand 1 (PD-L1) expression using immunohistochemistry is approved by the US Food and Drug Administration to guide treatment with anti-programmed death-1/PD-L1 monoantibodies. However, intratumoral heterogeneity of PD-L1 expression and the accordance between primary and metastatic lesions remains unresolved.
MATERIALS AND METHODS: PD-L1 expression was evaluated in tumor cells and tumor-infiltrating lymphocytes (TILs) of surgically resected lung adenosquamous carcinoma. Discrepancy of PD-L1 expression and cluster of differentiation 8-positive TILs of different histologic components was investigated. PD-L1 expression was also compared between primary tumor and nodal metastases.
RESULTS: The study included a total of 72 lung adenosquamous carcinomas. Fifteen patients (20.8%) and 25 patients (34.7%) were positive for PD-L1 expression in adenomatous and squamous components respectively, with a cutoff value of 5%. We found that 57.8% of cases showed consistent PD-L1 expression in tumor cells in the different histological components at a cutoff of 1%, and 48.1% of cases were likewise consistent at a cutoff of 5%. In paired squamous components of metastatic nodes and primary lesions, 90% and 80% of cases of PD-L1 expression were consistent, at cutoffs of 1% and 5%, respectively. For the adenomatous component of tumor/metastasis pairs, 77.8% of cases at the 1% cutoff and 74.1% of cases at the 5% cutoff were consistent, partially attributed to the difference of predominant histologic patterns.
CONCLUSION: PD-L1 expression showed discrepancy in different histological components within a tumor and consistency in paired histological type between tumor and metastases. Different pathological features might contribute to the heterogeneous PD-L1 expression in patients with non-small-cell lung cancer.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Concordance rate; Histologic feature; Lymph node metastasis; Programmed death-ligand 1; Tumor-infiltrating lymphocyte

Mesh:

Substances:

Year:  2018        PMID: 29609906     DOI: 10.1016/j.cllc.2018.02.008

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  12 in total

1.  PD-L1 Expression on Lung Cancer Stem Cells in Metastatic Lymph Nodes Aspirates.

Authors:  Agata Raniszewska; Małgorzata Polubiec-Kownacka; Elzbieta Rutkowska; Joanna Domagala-Kulawik
Journal:  Stem Cell Rev Rep       Date:  2019-04       Impact factor: 5.739

2.  The Effect of Examined Lymph Nodes and Lymph Node Ratio on Pathological Nodal Classification in the Lung Adenosquamous Carcinoma After Lobectomy.

Authors:  Shoujie Feng; Xiangming Liu; Bing Huang; Jing Shi; Hao Zhang
Journal:  Front Surg       Date:  2022-06-09

3.  [Comparative Study of PD-L1 Expression in Different Sites of 
Non-small Cell Lung Cancer].

Authors:  Xiaozheng Huang; Jianghua Wu; Lixin Zhou; Zhijie Song; Wantong Xu; Ling Jia; Xinting Diao; Qi Wu; Dongmei Lin
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-05-16

4.  [Clinical Characteristics and Prognostic Factors of Lung Adenosquamous Carcinoma 
in SEER Database between 2010 and 2015].

Authors:  Cheng Zhan; Tian Jiang; Xiaodong Yang; Weigang Guo; Lijie Tan
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2018-08-20

Review 5.  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 6.  Biomarkers of therapeutic response with immune checkpoint inhibitors.

Authors:  Poorva Bindal; Jhanelle E Gray; Theresa A Boyle; Vaia Florou; Sonam Puri
Journal:  Ann Transl Med       Date:  2021-06

7.  Inter-tumor heterogeneity of PD-L1 status: is it important in clinical decision making?

Authors:  Kenichi Suda; Tetsuya Mitsudomi
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 3.005

8.  Fit-For-Purpose PD-L1 Biomarker Testing For Patient Selection in Immuno-Oncology: Guidelines For Clinical Laboratories From the Canadian Association of Pathologists-Association Canadienne Des Pathologistes (CAP-ACP).

Authors:  Carol C Cheung; Penny Barnes; Gilbert Bigras; Scott Boerner; Jagdish Butany; Fiorella Calabrese; Christian Couture; Jean Deschenes; Hala El-Zimaity; Gabor Fischer; Pierre O Fiset; John Garratt; Laurette Geldenhuys; C Blake Gilks; Marius Ilie; Diana Ionescu; Hyun J Lim; Lisa Manning; Adnan Mansoor; Robert Riddell; Catherine Ross; Sinchita Roy-Chowdhuri; Alan Spatz; Paul E Swanson; Victor A Tron; Ming-Sound Tsao; Hangjun Wang; Zhaolin Xu; Emina E Torlakovic
Journal:  Appl Immunohistochem Mol Morphol       Date:  2019 Nov/Dec

Review 9.  Peripheral blood immune cell-based biomarkers in anti-PD-1/PD-L1 therapy.

Authors:  Kyung Hwan Kim; Chang Gon Kim; Eui-Cheol Shin
Journal:  Immune Netw       Date:  2020-02-10       Impact factor: 6.303

10.  Machine Learning for Prediction of Immunotherapy Efficacy in Non-Small Cell Lung Cancer from Simple Clinical and Biological Data.

Authors:  Sébastien Benzekry; Mathieu Grangeon; Mélanie Karlsen; Maria Alexa; Isabella Bicalho-Frazeto; Solène Chaleat; Pascale Tomasini; Dominique Barbolosi; Fabrice Barlesi; Laurent Greillier
Journal:  Cancers (Basel)       Date:  2021-12-09       Impact factor: 6.639

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