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Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom

Predictive immunochemistry is a time-, tumor sample- and cost-efficient method for testing the increasing number of predictive biomarkers in advanced non-small cell lung cancer (NSCLC). Immunohistochemistry (IHC) on formalin-fixed, paraffin-embedded (FFPE) tumor tissue has an established role in det...

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Autores principales: Brcic, Luka, Savic Prince, Spasenija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054884/
https://www.ncbi.nlm.nih.gov/pubmed/35403870
http://dx.doi.org/10.1007/s00292-022-01066-4
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author Brcic, Luka
Savic Prince, Spasenija
author_facet Brcic, Luka
Savic Prince, Spasenija
author_sort Brcic, Luka
collection PubMed
description Predictive immunochemistry is a time-, tumor sample- and cost-efficient method for testing the increasing number of predictive biomarkers in advanced non-small cell lung cancer (NSCLC). Immunohistochemistry (IHC) on formalin-fixed, paraffin-embedded (FFPE) tumor tissue has an established role in detecting PD-L1 expression and in ALK, ROS1, and more recently NTRK testing. Cytology specimens as a source for predictive biomarker testing in NSCLC is very important as up to 40% of all NSCLC are diagnosed by cytology alone. Despite the established role of cytology in lung cancer diagnosis, no commercial IHC assays have been validated for cytology specimens. FFPE cell blocks (CB) are the most straightforward cytology preparation for predictive immunocytochemistry (ICC) as the results are valid using protocols standardized for FFPE histology. But CB are not always available. With non-CB cytology specimens being less standardized than FFPE histology and with considerable preanalytical variability, rigorous cytology-specific ICC protocol optimization, validation, and quality control are required. With this prerequisite, predictive ICC, most commonly performed on Papanicolaou-stained cytology specimens, is robust and reliable on non-CB preparations. This valuable material should not be underutilized for predictive biomarker testing, as this would put patients at risk of unnecessary repeat sampling. This review highlights preanalytical, analytical, and postanalytical aspects that may influence ICC results and summarizes the published data on predictive ICC for PD-L1, ALK, and ROS1 in NSCLC.
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spelling pubmed-90548842022-05-07 Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom Brcic, Luka Savic Prince, Spasenija Pathologe Schwerpunkt: Zytologie Predictive immunochemistry is a time-, tumor sample- and cost-efficient method for testing the increasing number of predictive biomarkers in advanced non-small cell lung cancer (NSCLC). Immunohistochemistry (IHC) on formalin-fixed, paraffin-embedded (FFPE) tumor tissue has an established role in detecting PD-L1 expression and in ALK, ROS1, and more recently NTRK testing. Cytology specimens as a source for predictive biomarker testing in NSCLC is very important as up to 40% of all NSCLC are diagnosed by cytology alone. Despite the established role of cytology in lung cancer diagnosis, no commercial IHC assays have been validated for cytology specimens. FFPE cell blocks (CB) are the most straightforward cytology preparation for predictive immunocytochemistry (ICC) as the results are valid using protocols standardized for FFPE histology. But CB are not always available. With non-CB cytology specimens being less standardized than FFPE histology and with considerable preanalytical variability, rigorous cytology-specific ICC protocol optimization, validation, and quality control are required. With this prerequisite, predictive ICC, most commonly performed on Papanicolaou-stained cytology specimens, is robust and reliable on non-CB preparations. This valuable material should not be underutilized for predictive biomarker testing, as this would put patients at risk of unnecessary repeat sampling. This review highlights preanalytical, analytical, and postanalytical aspects that may influence ICC results and summarizes the published data on predictive ICC for PD-L1, ALK, and ROS1 in NSCLC. Springer Medizin 2022-04-11 2022 /pmc/articles/PMC9054884/ /pubmed/35403870 http://dx.doi.org/10.1007/s00292-022-01066-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Schwerpunkt: Zytologie
Brcic, Luka
Savic Prince, Spasenija
Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title_full Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title_fullStr Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title_full_unstemmed Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title_short Prädiktive Immunzytochemie beim nicht-kleinzelligen Lungenkarzinom
title_sort prädiktive immunzytochemie beim nicht-kleinzelligen lungenkarzinom
topic Schwerpunkt: Zytologie
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054884/
https://www.ncbi.nlm.nih.gov/pubmed/35403870
http://dx.doi.org/10.1007/s00292-022-01066-4
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