Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sestokaite, Agne, Gedvilaite, Vaida, Cicenas, Saulius, Sabaliauskaite, Rasa, Jarmalaite, Sonata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785032766373494784
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
work_keys_str_mv AT sestokaiteagne surveillanceofcfdnahotspotmutationsinnsclcpatientsduringdiseaseprogression
AT gedvilaitevaida surveillanceofcfdnahotspotmutationsinnsclcpatientsduringdiseaseprogression
AT cicenassaulius surveillanceofcfdnahotspotmutationsinnsclcpatientsduringdiseaseprogression
AT sabaliauskaiterasa surveillanceofcfdnahotspotmutationsinnsclcpatientsduringdiseaseprogression
AT jarmalaitesonata surveillanceofcfdnahotspotmutationsinnsclcpatientsduringdiseaseprogression