Cargando…

Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview

Non-small cell lung cancer (NSCLC) has one of the highest cancer-related mortality rates worldwide. In a subgroup of NSCLC, tumor growth is driven by epidermal growth factor receptors (EGFR) that harbor an activating mutation. These patients are best treated with EGFR tyrosine kinase inhibitors (EGF...

Descripción completa

Detalles Bibliográficos
Autores principales: Van De Stadt, Eveline, Yaqub, Maqsood, Jahangir, A. A., Hendrikse, Harry, Bahce, Idris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597357/
https://www.ncbi.nlm.nih.gov/pubmed/36313723
http://dx.doi.org/10.3389/fonc.2022.900450
_version_ 1784816073569206272
author Van De Stadt, Eveline
Yaqub, Maqsood
Jahangir, A. A.
Hendrikse, Harry
Bahce, Idris
author_facet Van De Stadt, Eveline
Yaqub, Maqsood
Jahangir, A. A.
Hendrikse, Harry
Bahce, Idris
author_sort Van De Stadt, Eveline
collection PubMed
description Non-small cell lung cancer (NSCLC) has one of the highest cancer-related mortality rates worldwide. In a subgroup of NSCLC, tumor growth is driven by epidermal growth factor receptors (EGFR) that harbor an activating mutation. These patients are best treated with EGFR tyrosine kinase inhibitors (EGFR TKI). Identifying the EGFR mutational status on a tumor biopsy or a liquid biopsy using tumor DNA sequencing techniques is the current approach to predict tumor response on EGFR TKI therapy. However, due to difficulty in reaching tumor sites, and varying inter- and intralesional tumor heterogeneity, biopsies are not always possible or representative of all tumor lesions, highlighting the need for alternative biomarkers that predict tumor response. Positron emission tomography (PET) studies using EGFR TKI-based tracers have shown that EGFR mutational status could be identified, and that tracer uptake could potentially be used as a biomarker for tumor response. However, despite their likely predictive and monitoring value, the EGFR TKI-PET biomarkers are not yet qualified to be used in the routine clinical practice. In this review, we will discuss the currently investigated EGFR-directed PET biomarkers, elaborate on the typical biomarker development process, and describe how the advances, challenges, and opportunities of EGFR PET biomarkers relate to this process on their way to qualification for routine clinical practice.
format Online
Article
Text
id pubmed-9597357
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95973572022-10-27 Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview Van De Stadt, Eveline Yaqub, Maqsood Jahangir, A. A. Hendrikse, Harry Bahce, Idris Front Oncol Oncology Non-small cell lung cancer (NSCLC) has one of the highest cancer-related mortality rates worldwide. In a subgroup of NSCLC, tumor growth is driven by epidermal growth factor receptors (EGFR) that harbor an activating mutation. These patients are best treated with EGFR tyrosine kinase inhibitors (EGFR TKI). Identifying the EGFR mutational status on a tumor biopsy or a liquid biopsy using tumor DNA sequencing techniques is the current approach to predict tumor response on EGFR TKI therapy. However, due to difficulty in reaching tumor sites, and varying inter- and intralesional tumor heterogeneity, biopsies are not always possible or representative of all tumor lesions, highlighting the need for alternative biomarkers that predict tumor response. Positron emission tomography (PET) studies using EGFR TKI-based tracers have shown that EGFR mutational status could be identified, and that tracer uptake could potentially be used as a biomarker for tumor response. However, despite their likely predictive and monitoring value, the EGFR TKI-PET biomarkers are not yet qualified to be used in the routine clinical practice. In this review, we will discuss the currently investigated EGFR-directed PET biomarkers, elaborate on the typical biomarker development process, and describe how the advances, challenges, and opportunities of EGFR PET biomarkers relate to this process on their way to qualification for routine clinical practice. Frontiers Media S.A. 2022-10-12 /pmc/articles/PMC9597357/ /pubmed/36313723 http://dx.doi.org/10.3389/fonc.2022.900450 Text en Copyright © 2022 Van De Stadt, Yaqub, Jahangir, Hendrikse and Bahce https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Van De Stadt, Eveline
Yaqub, Maqsood
Jahangir, A. A.
Hendrikse, Harry
Bahce, Idris
Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title_full Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title_fullStr Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title_full_unstemmed Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title_short Radiolabeled EGFR TKI as predictive imaging biomarkers in NSCLC patients – an overview
title_sort radiolabeled egfr tki as predictive imaging biomarkers in nsclc patients – an overview
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597357/
https://www.ncbi.nlm.nih.gov/pubmed/36313723
http://dx.doi.org/10.3389/fonc.2022.900450
work_keys_str_mv AT vandestadteveline radiolabeledegfrtkiaspredictiveimagingbiomarkersinnsclcpatientsanoverview
AT yaqubmaqsood radiolabeledegfrtkiaspredictiveimagingbiomarkersinnsclcpatientsanoverview
AT jahangiraa radiolabeledegfrtkiaspredictiveimagingbiomarkersinnsclcpatientsanoverview
AT hendrikseharry radiolabeledegfrtkiaspredictiveimagingbiomarkersinnsclcpatientsanoverview
AT bahceidris radiolabeledegfrtkiaspredictiveimagingbiomarkersinnsclcpatientsanoverview