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Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response
OBJECTIVES: PD-L1 expression on tumour cells can guide the use of anti-PD-1/PD-L1 immune modulators to treat patients with non-small cell lung cancer (NSCLC). Heterogeneity of PD-L1 expression both within and between tumour sites is a well-documented phenomenon that compromises its predictive power....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Scientific Publishers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658831/ https://www.ncbi.nlm.nih.gov/pubmed/31320000 http://dx.doi.org/10.1016/j.lungcan.2019.06.005 |
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author | Haragan, Alexander Field, John K. Davies, Michael P.A. Escriu, Carles Gruver, Aaron Gosney, John R. |
author_facet | Haragan, Alexander Field, John K. Davies, Michael P.A. Escriu, Carles Gruver, Aaron Gosney, John R. |
author_sort | Haragan, Alexander |
collection | PubMed |
description | OBJECTIVES: PD-L1 expression on tumour cells can guide the use of anti-PD-1/PD-L1 immune modulators to treat patients with non-small cell lung cancer (NSCLC). Heterogeneity of PD-L1 expression both within and between tumour sites is a well-documented phenomenon that compromises its predictive power. Our aim was to better characterise the pattern and extent of PD-L1 heterogeneity with a view to optimising tumour sampling and improve its accuracy as a biomarker. MATERIALS AND METHODS: Expression of PD-L1 was assessed by immunochemistry using the SP263 clone in 107 resected primary NSCLCs and their nodal metastases. Intra-tumoural heterogeneity, defined as ‘small-scale’ (mm²), ‘medium-scale’ (cm²) and ‘large-scale’ (between tumour blocks), was assessed by digital imaging using a novel ‘squares method’. Inter-tumoural heterogeneity between the primary tumours and their nodal metastases and between N1 and N2 nodal stages was also assessed. RESULTS: The majority of tumours demonstrated intra-tumoural heterogeneity (small-scale 78%, medium-scale 50%, large-scale 46%). Inter-tumoural heterogeneity between the primary and nodal metastases was present in 53% of cases and, in 17%, between N1 and N2 disease. These differences were occasionally sufficient to lead to discrepancy across the ≥1%, ≥25% and ≥50% cut-offs used to guide therapy. CONCLUSION: Heterogeneity of PD-L1 expression is common, variable in scale and extent, and carries significant implications for its accuracy as a predictive biomarker. Extensive sampling reduces, but cannot eliminate, this inaccuracy. |
format | Online Article Text |
id | pubmed-6658831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Scientific Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-66588312019-08-06 Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response Haragan, Alexander Field, John K. Davies, Michael P.A. Escriu, Carles Gruver, Aaron Gosney, John R. Lung Cancer Article OBJECTIVES: PD-L1 expression on tumour cells can guide the use of anti-PD-1/PD-L1 immune modulators to treat patients with non-small cell lung cancer (NSCLC). Heterogeneity of PD-L1 expression both within and between tumour sites is a well-documented phenomenon that compromises its predictive power. Our aim was to better characterise the pattern and extent of PD-L1 heterogeneity with a view to optimising tumour sampling and improve its accuracy as a biomarker. MATERIALS AND METHODS: Expression of PD-L1 was assessed by immunochemistry using the SP263 clone in 107 resected primary NSCLCs and their nodal metastases. Intra-tumoural heterogeneity, defined as ‘small-scale’ (mm²), ‘medium-scale’ (cm²) and ‘large-scale’ (between tumour blocks), was assessed by digital imaging using a novel ‘squares method’. Inter-tumoural heterogeneity between the primary tumours and their nodal metastases and between N1 and N2 nodal stages was also assessed. RESULTS: The majority of tumours demonstrated intra-tumoural heterogeneity (small-scale 78%, medium-scale 50%, large-scale 46%). Inter-tumoural heterogeneity between the primary and nodal metastases was present in 53% of cases and, in 17%, between N1 and N2 disease. These differences were occasionally sufficient to lead to discrepancy across the ≥1%, ≥25% and ≥50% cut-offs used to guide therapy. CONCLUSION: Heterogeneity of PD-L1 expression is common, variable in scale and extent, and carries significant implications for its accuracy as a predictive biomarker. Extensive sampling reduces, but cannot eliminate, this inaccuracy. Elsevier Scientific Publishers 2019-08 /pmc/articles/PMC6658831/ /pubmed/31320000 http://dx.doi.org/10.1016/j.lungcan.2019.06.005 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Haragan, Alexander Field, John K. Davies, Michael P.A. Escriu, Carles Gruver, Aaron Gosney, John R. Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title | Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title_full | Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title_fullStr | Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title_full_unstemmed | Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title_short | Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response |
title_sort | heterogeneity of pd-l1 expression in non-small cell lung cancer: implications for specimen sampling in predicting treatment response |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658831/ https://www.ncbi.nlm.nih.gov/pubmed/31320000 http://dx.doi.org/10.1016/j.lungcan.2019.06.005 |
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