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Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression
Non-small cell cancer (NSCLC) has been identified with a great variation of mutations that can be surveyed during disease progression. The aim of the study was to identify and monitor lung cancer-specific mutations incidence in cell-free DNA as well as overall plasma cell-free DNA load by means of t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138687/ https://www.ncbi.nlm.nih.gov/pubmed/37108122 http://dx.doi.org/10.3390/ijms24086958 |
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author | Sestokaite, Agne Gedvilaite, Vaida Cicenas, Saulius Sabaliauskaite, Rasa Jarmalaite, Sonata |
author_facet | Sestokaite, Agne Gedvilaite, Vaida Cicenas, Saulius Sabaliauskaite, Rasa Jarmalaite, Sonata |
author_sort | Sestokaite, Agne |
collection | PubMed |
description | Non-small cell cancer (NSCLC) has been identified with a great variation of mutations that can be surveyed during disease progression. The aim of the study was to identify and monitor lung cancer-specific mutations incidence in cell-free DNA as well as overall plasma cell-free DNA load by means of targeted next-generation sequencing. Sequencing libraries were prepared from cell-free DNA (cfDNA) isolated from 72 plasma samples of 41 patients using the Oncomine Lung cfDNA panel covering hot spot regions of 11 genes. Sequencing was performed with the Ion Torrent™ Ion S5™ system. Four genes were detected with highest mutation incidence: KRAS (43.9% of all cases), followed by ALK (36.6%), TP53 (31.7%), and PIK3CA (29.3%). Seven patients had co-occurring KRAS + TP53 (6/41, 14.6%) or KRAS + PIK3CA (7/41, 17.1%) mutations. Moreover, the mutational status of TP53 as well an overall cell-free DNA load were confirmed to be predictors of poor progression-free survival (HR = 2.5 [0.8–7.7]; p = 0.029 and HR = 2.3 [0.9–5.5]; p = 0.029, respectively) in NSCLC patients. In addition, TP53 mutation status significantly predicts shorter overall survival (HR = 3.4 [1.2–9.7]; p < 0.001). We demonstrated that TP53 mutation incidence as well as a cell-free DNA load can be used as biomarkers for NSCLC monitoring and can help to detect the disease progression prior to radiological confirmation of the status. |
format | Online Article Text |
id | pubmed-10138687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101386872023-04-28 Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression Sestokaite, Agne Gedvilaite, Vaida Cicenas, Saulius Sabaliauskaite, Rasa Jarmalaite, Sonata Int J Mol Sci Article Non-small cell cancer (NSCLC) has been identified with a great variation of mutations that can be surveyed during disease progression. The aim of the study was to identify and monitor lung cancer-specific mutations incidence in cell-free DNA as well as overall plasma cell-free DNA load by means of targeted next-generation sequencing. Sequencing libraries were prepared from cell-free DNA (cfDNA) isolated from 72 plasma samples of 41 patients using the Oncomine Lung cfDNA panel covering hot spot regions of 11 genes. Sequencing was performed with the Ion Torrent™ Ion S5™ system. Four genes were detected with highest mutation incidence: KRAS (43.9% of all cases), followed by ALK (36.6%), TP53 (31.7%), and PIK3CA (29.3%). Seven patients had co-occurring KRAS + TP53 (6/41, 14.6%) or KRAS + PIK3CA (7/41, 17.1%) mutations. Moreover, the mutational status of TP53 as well an overall cell-free DNA load were confirmed to be predictors of poor progression-free survival (HR = 2.5 [0.8–7.7]; p = 0.029 and HR = 2.3 [0.9–5.5]; p = 0.029, respectively) in NSCLC patients. In addition, TP53 mutation status significantly predicts shorter overall survival (HR = 3.4 [1.2–9.7]; p < 0.001). We demonstrated that TP53 mutation incidence as well as a cell-free DNA load can be used as biomarkers for NSCLC monitoring and can help to detect the disease progression prior to radiological confirmation of the status. MDPI 2023-04-09 /pmc/articles/PMC10138687/ /pubmed/37108122 http://dx.doi.org/10.3390/ijms24086958 Text en © 2023 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 | Article Sestokaite, Agne Gedvilaite, Vaida Cicenas, Saulius Sabaliauskaite, Rasa Jarmalaite, Sonata Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title | Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title_full | Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title_fullStr | Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title_full_unstemmed | Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title_short | Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression |
title_sort | surveillance of cfdna hot spot mutations in nsclc patients during disease progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138687/ https://www.ncbi.nlm.nih.gov/pubmed/37108122 http://dx.doi.org/10.3390/ijms24086958 |
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