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Blood-based next-generation sequencing analysis of neuroendocrine neoplasms
Background: Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplasms that span from well-differentiated neuroendocrine tumors (NETs) to highly aggressive neoplasms classified as neuroendocrine carcinomas (NECs). The genomic landscape of NENs has not been well studied. The aim of this s...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233805/ https://www.ncbi.nlm.nih.gov/pubmed/32477464 http://dx.doi.org/10.18632/oncotarget.27588 |
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author | Zakka, Katerina Nagy, Rebecca Drusbosky, Leylah Akce, Mehmet Wu, Christina Alese, Olatunji B. El-Rayes, Bassel F. Kasi, Pashtoon Murtaza Mody, Kabir Starr, Jason Shaib, Walid L. |
author_facet | Zakka, Katerina Nagy, Rebecca Drusbosky, Leylah Akce, Mehmet Wu, Christina Alese, Olatunji B. El-Rayes, Bassel F. Kasi, Pashtoon Murtaza Mody, Kabir Starr, Jason Shaib, Walid L. |
author_sort | Zakka, Katerina |
collection | PubMed |
description | Background: Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplasms that span from well-differentiated neuroendocrine tumors (NETs) to highly aggressive neoplasms classified as neuroendocrine carcinomas (NECs). The genomic landscape of NENs has not been well studied. The aim of this study is to confirm the feasibility of next generation sequencing (NGS) testing circulating tumor DNA (ctDNA) in patients with NENs and characterize common alterations in the genomic landscape. Results: Of the 320 NEN patients, 182 (57%) were male with a median age of 63 years (range: 8-93) years. Tumor type included pancreatic NET (N = 165, 52%), gastrointestinal NEC (N = 52, 16%), large cell lung NEC (N = 21, 7%), nasopharyngeal NEC (N = 16, 5%) and NEC/NET not otherwise specified (N = 64, 20%). ctDNA NGS testing was performed on 338 plasma samples; 14 patients had testing performed twice and 2 patients had testing performed three times. Genomic alterations were defined in 280 (87.5%) samples with a total of 1,012 alterations identified after excluding variants of uncertain significance (VUSs) and synonymous mutations. Of the 280 samples with alterations, TP53 associated genes were most commonly altered (N = 145, 52%), followed by KRAS (N = 61, 22%), EGFR (N = 33, 12%), PIK3CA (N = 30, 11%), BRAF (N = 28, 10%), MYC (N = 28, 10%), CCNE1 (N = 28, 10%), CDK6 (N = 22, 8%), RB1 (N = 19, 7%), NF1 (N = 19, 7%), MET (N = 19, 7%), FGFR1 (N = 19, 7%), APC (N = 19, 7%), ERBB2 (N = 16, 6%) and PTEN (N = 14, 5%). Conclusions: Evaluation of ctDNA was feasible among individuals with NEN. Liquid biopsies are non-invasive methods that can provide personalized options for targeted therapies in NEN patients. Patients and Methods: Molecular alterations in 338 plasma samples from 320 patients with NEN were evaluated using clinical-grade NGS of ctDNA (Guardant360(®)) across multiple institutions. The test detects single nucleotide variants in 54-73 genes, copy number amplifications, fusions, and indels in selected genes. |
format | Online Article Text |
id | pubmed-7233805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-72338052020-05-29 Blood-based next-generation sequencing analysis of neuroendocrine neoplasms Zakka, Katerina Nagy, Rebecca Drusbosky, Leylah Akce, Mehmet Wu, Christina Alese, Olatunji B. El-Rayes, Bassel F. Kasi, Pashtoon Murtaza Mody, Kabir Starr, Jason Shaib, Walid L. Oncotarget Research Paper Background: Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplasms that span from well-differentiated neuroendocrine tumors (NETs) to highly aggressive neoplasms classified as neuroendocrine carcinomas (NECs). The genomic landscape of NENs has not been well studied. The aim of this study is to confirm the feasibility of next generation sequencing (NGS) testing circulating tumor DNA (ctDNA) in patients with NENs and characterize common alterations in the genomic landscape. Results: Of the 320 NEN patients, 182 (57%) were male with a median age of 63 years (range: 8-93) years. Tumor type included pancreatic NET (N = 165, 52%), gastrointestinal NEC (N = 52, 16%), large cell lung NEC (N = 21, 7%), nasopharyngeal NEC (N = 16, 5%) and NEC/NET not otherwise specified (N = 64, 20%). ctDNA NGS testing was performed on 338 plasma samples; 14 patients had testing performed twice and 2 patients had testing performed three times. Genomic alterations were defined in 280 (87.5%) samples with a total of 1,012 alterations identified after excluding variants of uncertain significance (VUSs) and synonymous mutations. Of the 280 samples with alterations, TP53 associated genes were most commonly altered (N = 145, 52%), followed by KRAS (N = 61, 22%), EGFR (N = 33, 12%), PIK3CA (N = 30, 11%), BRAF (N = 28, 10%), MYC (N = 28, 10%), CCNE1 (N = 28, 10%), CDK6 (N = 22, 8%), RB1 (N = 19, 7%), NF1 (N = 19, 7%), MET (N = 19, 7%), FGFR1 (N = 19, 7%), APC (N = 19, 7%), ERBB2 (N = 16, 6%) and PTEN (N = 14, 5%). Conclusions: Evaluation of ctDNA was feasible among individuals with NEN. Liquid biopsies are non-invasive methods that can provide personalized options for targeted therapies in NEN patients. Patients and Methods: Molecular alterations in 338 plasma samples from 320 patients with NEN were evaluated using clinical-grade NGS of ctDNA (Guardant360(®)) across multiple institutions. The test detects single nucleotide variants in 54-73 genes, copy number amplifications, fusions, and indels in selected genes. Impact Journals LLC 2020-05-12 /pmc/articles/PMC7233805/ /pubmed/32477464 http://dx.doi.org/10.18632/oncotarget.27588 Text en Copyright: © 2020 Zakka et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zakka, Katerina Nagy, Rebecca Drusbosky, Leylah Akce, Mehmet Wu, Christina Alese, Olatunji B. El-Rayes, Bassel F. Kasi, Pashtoon Murtaza Mody, Kabir Starr, Jason Shaib, Walid L. Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title | Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title_full | Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title_fullStr | Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title_full_unstemmed | Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title_short | Blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
title_sort | blood-based next-generation sequencing analysis of neuroendocrine neoplasms |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233805/ https://www.ncbi.nlm.nih.gov/pubmed/32477464 http://dx.doi.org/10.18632/oncotarget.27588 |
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