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Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End?
Inhibitors of fibroblast growth factor receptor (FGFR) signaling have been investigated in various human cancer diseases. Recently, the first compounds received FDA approval in biomarker-selected patient populations. Different approaches and technologies have been applied in clinical trials, ranging...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563413/ https://www.ncbi.nlm.nih.gov/pubmed/36231142 http://dx.doi.org/10.3390/cells11193180 |
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author | Ellinghaus, Peter Neureiter, Daniel Nogai, Hendrik Stintzing, Sebastian Ocker, Matthias |
author_facet | Ellinghaus, Peter Neureiter, Daniel Nogai, Hendrik Stintzing, Sebastian Ocker, Matthias |
author_sort | Ellinghaus, Peter |
collection | PubMed |
description | Inhibitors of fibroblast growth factor receptor (FGFR) signaling have been investigated in various human cancer diseases. Recently, the first compounds received FDA approval in biomarker-selected patient populations. Different approaches and technologies have been applied in clinical trials, ranging from protein (immunohistochemistry) to mRNA expression (e.g., RNA in situ hybridization) and to detection of various DNA alterations (e.g., copy number variations, mutations, gene fusions). We review, here, the advantages and limitations of the different technologies and discuss the importance of tissue and disease context in identifying the best predictive biomarker for FGFR targeting therapies. |
format | Online Article Text |
id | pubmed-9563413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95634132022-10-15 Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? Ellinghaus, Peter Neureiter, Daniel Nogai, Hendrik Stintzing, Sebastian Ocker, Matthias Cells Review Inhibitors of fibroblast growth factor receptor (FGFR) signaling have been investigated in various human cancer diseases. Recently, the first compounds received FDA approval in biomarker-selected patient populations. Different approaches and technologies have been applied in clinical trials, ranging from protein (immunohistochemistry) to mRNA expression (e.g., RNA in situ hybridization) and to detection of various DNA alterations (e.g., copy number variations, mutations, gene fusions). We review, here, the advantages and limitations of the different technologies and discuss the importance of tissue and disease context in identifying the best predictive biomarker for FGFR targeting therapies. MDPI 2022-10-10 /pmc/articles/PMC9563413/ /pubmed/36231142 http://dx.doi.org/10.3390/cells11193180 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ellinghaus, Peter Neureiter, Daniel Nogai, Hendrik Stintzing, Sebastian Ocker, Matthias Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title | Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title_full | Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title_fullStr | Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title_full_unstemmed | Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title_short | Patient Selection Approaches in FGFR Inhibitor Trials—Many Paths to the Same End? |
title_sort | patient selection approaches in fgfr inhibitor trials—many paths to the same end? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563413/ https://www.ncbi.nlm.nih.gov/pubmed/36231142 http://dx.doi.org/10.3390/cells11193180 |
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