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Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors

BACKGROUND: Tumor transcriptomes contain information of critical value to understanding the different capacities of a cell at both a physiological and pathological level. In terms of clinical relevance, they provide information regarding the cellular “toolbox” e.g., pathways associated with malignan...

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Autores principales: Kidd, Mark, Modlin, Irvin M, Drozdov, Ignat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124138/
https://www.ncbi.nlm.nih.gov/pubmed/25023465
http://dx.doi.org/10.1186/1471-2164-15-595
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author Kidd, Mark
Modlin, Irvin M
Drozdov, Ignat
author_facet Kidd, Mark
Modlin, Irvin M
Drozdov, Ignat
author_sort Kidd, Mark
collection PubMed
description BACKGROUND: Tumor transcriptomes contain information of critical value to understanding the different capacities of a cell at both a physiological and pathological level. In terms of clinical relevance, they provide information regarding the cellular “toolbox” e.g., pathways associated with malignancy and metastasis or drug dependency. Exploration of this resource can therefore be leveraged as a translational tool to better manage and assess neoplastic behavior. The availability of public genome-wide expression datasets, provide an opportunity to reassess neuroendocrine tumors at a more fundamental level. We hypothesized that stringent analysis of expression profiles as well as regulatory networks of the neoplastic cell would provide novel information that facilitates further delineation of the genomic basis of small intestinal neuroendocrine tumors. RESULTS: We re-analyzed two publically available small intestinal tumor transcriptomes using stringent quality control parameters and network-based approaches and validated expression of core secretory regulatory elements e.g., CPE, PCSK1, secretogranins, including genes involved in depolarization e.g., SCN3A, as well as transcription factors associated with neurodevelopment (NKX2-2, NeuroD1, INSM1) and glucose homeostasis (APLP1). The candidate metastasis-associated transcription factor, ST18, was highly expressed (>14-fold, p < 0.004). Genes previously associated with neoplasia, CEBPA and SDHD, were decreased in expression (-1.5 – -2, p < 0.02). Genomic interrogation indicated that intestinal tumors may consist of two different subtypes, serotonin-producing neoplasms and serotonin/substance P/tachykinin lesions. QPCR validation in an independent dataset (n = 13 neuroendocrine tumors), confirmed up-regulated expression of 87% of genes (13/15). CONCLUSIONS: An integrated cellular transcriptomic analysis of small intestinal neuroendocrine tumors identified that they are regulated at a developmental level, have key activation of hypoxic pathways (a known regulator of malignant stem cell phenotypes) as well as activation of genes involved in apoptosis and proliferation. Further refinement of these analyses by RNAseq studies of large-scale databases will enable definition of individual master regulators and facilitate the development of novel tissue and blood-based tools to better understand diagnose and treat tumors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-595) contains supplementary material, which is available to authorized users.
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spelling pubmed-41241382014-08-12 Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors Kidd, Mark Modlin, Irvin M Drozdov, Ignat BMC Genomics Research Article BACKGROUND: Tumor transcriptomes contain information of critical value to understanding the different capacities of a cell at both a physiological and pathological level. In terms of clinical relevance, they provide information regarding the cellular “toolbox” e.g., pathways associated with malignancy and metastasis or drug dependency. Exploration of this resource can therefore be leveraged as a translational tool to better manage and assess neoplastic behavior. The availability of public genome-wide expression datasets, provide an opportunity to reassess neuroendocrine tumors at a more fundamental level. We hypothesized that stringent analysis of expression profiles as well as regulatory networks of the neoplastic cell would provide novel information that facilitates further delineation of the genomic basis of small intestinal neuroendocrine tumors. RESULTS: We re-analyzed two publically available small intestinal tumor transcriptomes using stringent quality control parameters and network-based approaches and validated expression of core secretory regulatory elements e.g., CPE, PCSK1, secretogranins, including genes involved in depolarization e.g., SCN3A, as well as transcription factors associated with neurodevelopment (NKX2-2, NeuroD1, INSM1) and glucose homeostasis (APLP1). The candidate metastasis-associated transcription factor, ST18, was highly expressed (>14-fold, p < 0.004). Genes previously associated with neoplasia, CEBPA and SDHD, were decreased in expression (-1.5 – -2, p < 0.02). Genomic interrogation indicated that intestinal tumors may consist of two different subtypes, serotonin-producing neoplasms and serotonin/substance P/tachykinin lesions. QPCR validation in an independent dataset (n = 13 neuroendocrine tumors), confirmed up-regulated expression of 87% of genes (13/15). CONCLUSIONS: An integrated cellular transcriptomic analysis of small intestinal neuroendocrine tumors identified that they are regulated at a developmental level, have key activation of hypoxic pathways (a known regulator of malignant stem cell phenotypes) as well as activation of genes involved in apoptosis and proliferation. Further refinement of these analyses by RNAseq studies of large-scale databases will enable definition of individual master regulators and facilitate the development of novel tissue and blood-based tools to better understand diagnose and treat tumors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-595) contains supplementary material, which is available to authorized users. BioMed Central 2014-07-15 /pmc/articles/PMC4124138/ /pubmed/25023465 http://dx.doi.org/10.1186/1471-2164-15-595 Text en © Kidd et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kidd, Mark
Modlin, Irvin M
Drozdov, Ignat
Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title_full Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title_fullStr Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title_full_unstemmed Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title_short Gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
title_sort gene network-based analysis identifies two potential subtypes of small intestinal neuroendocrine tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124138/
https://www.ncbi.nlm.nih.gov/pubmed/25023465
http://dx.doi.org/10.1186/1471-2164-15-595
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