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Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC
ALK (anaplastic lymphoma kinase) inhibitors may be used to treat patients with ALK mutant metastatic nonsmall cell cancer (NSCLC). This study aimed to investigate the factors affecting the patients response to treatment with ALK-positive metastatic NSCLC. Data of the patients were investigated retro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410652/ https://www.ncbi.nlm.nih.gov/pubmed/36042659 http://dx.doi.org/10.1097/MD.0000000000030188 |
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author | Dogan, Izzet Gurbuz, Mustafa Paksoy, Nail Ferhatoglu, Ferhat Vatansever, Sezai Saip, Pinar Demirkazik, Ahmet Aydiner, Adnan |
author_facet | Dogan, Izzet Gurbuz, Mustafa Paksoy, Nail Ferhatoglu, Ferhat Vatansever, Sezai Saip, Pinar Demirkazik, Ahmet Aydiner, Adnan |
author_sort | Dogan, Izzet |
collection | PubMed |
description | ALK (anaplastic lymphoma kinase) inhibitors may be used to treat patients with ALK mutant metastatic nonsmall cell cancer (NSCLC). This study aimed to investigate the factors affecting the patients response to treatment with ALK-positive metastatic NSCLC. Data of the patients were investigated retrospectively. Binary regression analysis was performed to evaluate response predictors of treatment. Furthermore, we determined the cut-off value of the ALK-positivity for objective response to the therapy using ROC analysis. A total of 68 patients were included in the research. The median overall survival was observed 39.2 months. The overall response rate was 66.2%. The ratio of ALK positivity (P = .02), gender (P = .04), and the total number of metastatic sites (P = .02) all were detected as predictors of the response to ALK inhibitor in binary regression analysis. ALK inhibitor type (P = .56), primary tumor location (P = .35), pathological subtype (P = .68), de-novo metastatic disease (P = .28), and age (P = .94) were not predictive indicators for response. The cut-off level of ALK positivity was found to be 33% in patients with an objective response. The real-life effectiveness of ALK inhibitors in NSCLC patients with ALK mutations was shown in this research. We determined that having less than 3 metastatic sites, having a high ALK positivity ratio, and being female were all good predictors of ALK inhibitor response. |
format | Online Article Text |
id | pubmed-9410652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-94106522022-08-26 Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC Dogan, Izzet Gurbuz, Mustafa Paksoy, Nail Ferhatoglu, Ferhat Vatansever, Sezai Saip, Pinar Demirkazik, Ahmet Aydiner, Adnan Medicine (Baltimore) Research Article ALK (anaplastic lymphoma kinase) inhibitors may be used to treat patients with ALK mutant metastatic nonsmall cell cancer (NSCLC). This study aimed to investigate the factors affecting the patients response to treatment with ALK-positive metastatic NSCLC. Data of the patients were investigated retrospectively. Binary regression analysis was performed to evaluate response predictors of treatment. Furthermore, we determined the cut-off value of the ALK-positivity for objective response to the therapy using ROC analysis. A total of 68 patients were included in the research. The median overall survival was observed 39.2 months. The overall response rate was 66.2%. The ratio of ALK positivity (P = .02), gender (P = .04), and the total number of metastatic sites (P = .02) all were detected as predictors of the response to ALK inhibitor in binary regression analysis. ALK inhibitor type (P = .56), primary tumor location (P = .35), pathological subtype (P = .68), de-novo metastatic disease (P = .28), and age (P = .94) were not predictive indicators for response. The cut-off level of ALK positivity was found to be 33% in patients with an objective response. The real-life effectiveness of ALK inhibitors in NSCLC patients with ALK mutations was shown in this research. We determined that having less than 3 metastatic sites, having a high ALK positivity ratio, and being female were all good predictors of ALK inhibitor response. Lippincott Williams & Wilkins 2022-08-26 /pmc/articles/PMC9410652/ /pubmed/36042659 http://dx.doi.org/10.1097/MD.0000000000030188 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Research Article Dogan, Izzet Gurbuz, Mustafa Paksoy, Nail Ferhatoglu, Ferhat Vatansever, Sezai Saip, Pinar Demirkazik, Ahmet Aydiner, Adnan Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title | Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title_full | Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title_fullStr | Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title_full_unstemmed | Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title_short | Evaluation of clinicopathological features determining treatment response in patients with ALK mutant NSCLC |
title_sort | evaluation of clinicopathological features determining treatment response in patients with alk mutant nsclc |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410652/ https://www.ncbi.nlm.nih.gov/pubmed/36042659 http://dx.doi.org/10.1097/MD.0000000000030188 |
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