Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2020
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
_version_ 1783535616383778816
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
work_keys_str_mv AT zakkakaterina bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT nagyrebecca bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT drusboskyleylah bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT akcemehmet bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT wuchristina bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT aleseolatunjib bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT elrayesbasself bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT kasipashtoonmurtaza bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT modykabir bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT starrjason bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms
AT shaibwalidl bloodbasednextgenerationsequencinganalysisofneuroendocrineneoplasms