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Detecting ALK , ROS1, and RET fusions and the METΔex14 splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques
ALK, ROS1, and RET fusions and MET∆ex14 variant associate with response to targeted therapies in non‐small‐cell lung cancer (NSCLC). Technologies for fusion testing in tissue must be adapted to liquid biopsies, which are often the only material available. In this study, circulating‐free RNA (cfRNA)...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483610/ https://www.ncbi.nlm.nih.gov/pubmed/37243883 http://dx.doi.org/10.1002/1878-0261.13468 |
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author | Giménez‐Capitán, Ana Sánchez‐Herrero, Estela Robado de Lope, Lucía Aguilar‐Hernández, Andrés Sullivan, Ivana Calvo, Virginia Moya‐Horno, Irene Viteri, Santiago Cabrera, Carlos Aguado, Cristina Armiger, Noelia Valarezo, Joselyn Mayo‐de‐las‐Casas, Clara Reguart, Noemí Rosell, Rafael Provencio, Mariano Romero, Atocha Molina‐Vila, Miguel A. |
author_facet | Giménez‐Capitán, Ana Sánchez‐Herrero, Estela Robado de Lope, Lucía Aguilar‐Hernández, Andrés Sullivan, Ivana Calvo, Virginia Moya‐Horno, Irene Viteri, Santiago Cabrera, Carlos Aguado, Cristina Armiger, Noelia Valarezo, Joselyn Mayo‐de‐las‐Casas, Clara Reguart, Noemí Rosell, Rafael Provencio, Mariano Romero, Atocha Molina‐Vila, Miguel A. |
author_sort | Giménez‐Capitán, Ana |
collection | PubMed |
description | ALK, ROS1, and RET fusions and MET∆ex14 variant associate with response to targeted therapies in non‐small‐cell lung cancer (NSCLC). Technologies for fusion testing in tissue must be adapted to liquid biopsies, which are often the only material available. In this study, circulating‐free RNA (cfRNA) and extracellular vesicle RNA (EV‐RNA) were purified from liquid biopsies. Fusion and MET∆ex14 transcripts were analyzed by nCounter (Nanostring) and digital PCR (dPCR) using the QuantStudio(®) System (Applied Biosystems). We found that nCounter detected ALK, ROS1, RET, or MET∆ex14 aberrant transcripts in 28/40 cfRNA samples from positive patients and 0/16 of control individuals (70% sensitivity). Regarding dPCR, aberrant transcripts were detected in the cfRNA of 25/40 positive patients. Concordance between the two techniques was 58%. Inferior results were obtained when analyzing EV‐RNA, where nCounter often failed due to a low amount of input RNA. Finally, results of dPCR testing in serial liquid biopsies of five patients correlated with response to targeted therapy. We conclude that nCounter can be used for multiplex detection of fusion and MET∆ex14 transcripts in liquid biopsies, showing a performance comparable with next‐generation sequencing platforms. dPCR could be employed for disease follow‐up in patients with a known alteration. cfRNA should be preferred over EV‐RNA for these analyses. |
format | Online Article Text |
id | pubmed-10483610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104836102023-09-08 Detecting ALK , ROS1, and RET fusions and the METΔex14 splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques Giménez‐Capitán, Ana Sánchez‐Herrero, Estela Robado de Lope, Lucía Aguilar‐Hernández, Andrés Sullivan, Ivana Calvo, Virginia Moya‐Horno, Irene Viteri, Santiago Cabrera, Carlos Aguado, Cristina Armiger, Noelia Valarezo, Joselyn Mayo‐de‐las‐Casas, Clara Reguart, Noemí Rosell, Rafael Provencio, Mariano Romero, Atocha Molina‐Vila, Miguel A. Mol Oncol Research Articles ALK, ROS1, and RET fusions and MET∆ex14 variant associate with response to targeted therapies in non‐small‐cell lung cancer (NSCLC). Technologies for fusion testing in tissue must be adapted to liquid biopsies, which are often the only material available. In this study, circulating‐free RNA (cfRNA) and extracellular vesicle RNA (EV‐RNA) were purified from liquid biopsies. Fusion and MET∆ex14 transcripts were analyzed by nCounter (Nanostring) and digital PCR (dPCR) using the QuantStudio(®) System (Applied Biosystems). We found that nCounter detected ALK, ROS1, RET, or MET∆ex14 aberrant transcripts in 28/40 cfRNA samples from positive patients and 0/16 of control individuals (70% sensitivity). Regarding dPCR, aberrant transcripts were detected in the cfRNA of 25/40 positive patients. Concordance between the two techniques was 58%. Inferior results were obtained when analyzing EV‐RNA, where nCounter often failed due to a low amount of input RNA. Finally, results of dPCR testing in serial liquid biopsies of five patients correlated with response to targeted therapy. We conclude that nCounter can be used for multiplex detection of fusion and MET∆ex14 transcripts in liquid biopsies, showing a performance comparable with next‐generation sequencing platforms. dPCR could be employed for disease follow‐up in patients with a known alteration. cfRNA should be preferred over EV‐RNA for these analyses. John Wiley and Sons Inc. 2023-06-06 /pmc/articles/PMC10483610/ /pubmed/37243883 http://dx.doi.org/10.1002/1878-0261.13468 Text en © 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Giménez‐Capitán, Ana Sánchez‐Herrero, Estela Robado de Lope, Lucía Aguilar‐Hernández, Andrés Sullivan, Ivana Calvo, Virginia Moya‐Horno, Irene Viteri, Santiago Cabrera, Carlos Aguado, Cristina Armiger, Noelia Valarezo, Joselyn Mayo‐de‐las‐Casas, Clara Reguart, Noemí Rosell, Rafael Provencio, Mariano Romero, Atocha Molina‐Vila, Miguel A. Detecting ALK , ROS1, and RET fusions and the METΔex14 splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title | Detecting
ALK
,
ROS1, and
RET
fusions and the
METΔex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title_full | Detecting
ALK
,
ROS1, and
RET
fusions and the
METΔex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title_fullStr | Detecting
ALK
,
ROS1, and
RET
fusions and the
METΔex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title_full_unstemmed | Detecting
ALK
,
ROS1, and
RET
fusions and the
METΔex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title_short | Detecting
ALK
,
ROS1, and
RET
fusions and the
METΔex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using RNA‐based techniques |
title_sort | detecting
alk
,
ros1, and
ret
fusions and the
metδex14
splicing variant in liquid biopsies of non‐small‐cell lung cancer patients using rna‐based techniques |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483610/ https://www.ncbi.nlm.nih.gov/pubmed/37243883 http://dx.doi.org/10.1002/1878-0261.13468 |
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