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Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism
Neuroblastoma, the most common extracranial solid malignancy among children, originates from undifferentiated neural crest cells (NCC). Despite recent intensified treatment, high-risk patients still have a high mortality rate. To explore a new therapeutic strategy, we performed an integrated genomic...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815088/ https://www.ncbi.nlm.nih.gov/pubmed/33465163 http://dx.doi.org/10.1371/journal.pone.0245526 |
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author | Kimura, Shunsuke Sekiguchi, Masahiro Watanabe, Kentaro Hiwatarai, Mitsuteru Seki, Masafumi Yoshida, Kenichi Isobe, Tomoya Shiozawa, Yusuke Suzuki, Hiromichi Hoshino, Noriko Hayashi, Yasuhide Oka, Akira Miyano, Satoru Ogawa, Seishi Takita, Junko |
author_facet | Kimura, Shunsuke Sekiguchi, Masahiro Watanabe, Kentaro Hiwatarai, Mitsuteru Seki, Masafumi Yoshida, Kenichi Isobe, Tomoya Shiozawa, Yusuke Suzuki, Hiromichi Hoshino, Noriko Hayashi, Yasuhide Oka, Akira Miyano, Satoru Ogawa, Seishi Takita, Junko |
author_sort | Kimura, Shunsuke |
collection | PubMed |
description | Neuroblastoma, the most common extracranial solid malignancy among children, originates from undifferentiated neural crest cells (NCC). Despite recent intensified treatment, high-risk patients still have a high mortality rate. To explore a new therapeutic strategy, we performed an integrated genomic and transcriptomic analysis of 30 high-risk neuroblastoma cases. Based on the expression profiling of RNA sequencing, neuroblastoma was classified into Mesenchymal (MES; n = 5) and Noradrenergic (ADRN; n = 25) clusters, as previously reported in the super-enhancer landscape. The expression patterns in MES-cluster cases were similar to normal adrenal glands, with enrichment in secretion-related pathways, suggesting chromaffin cell-like features built from NCC-derived Schwann cell precursors (SCPs). In contrast, neuron-related pathways were enriched in the ADRN-cluster, indicating sympathoblast features reported to originate from NCC but not via SCPs. Thus, MES- and ADRN-clusters were assumed to be corresponding to differentiation pathways through SCP and sympathoblast, respectively. ADRN-cluster cases were further classified into MYCN- and ATRX-clusters, characterized by genetic alterations, MYCN amplifications and ATRX alterations, respectively. MYCN-cluster cases showed high expression of ALDH18A1, encoding P5CS related to proline production. As reported in other cancers, this might cause reprogramming of proline metabolism leading to tumor specific proline vulnerability candidate for a target therapy of metabolic pathway. In ATRX-cluster, SLC18A2 (VMAT2), an enzyme known to prevent cell toxicity due to the oxidation of dopamine, was highly expressed and VMAT2 inhibitor (GZ-793A) represented significant attenuation of cell growth in NB-69 cell line (high SLC18A2 expression, no MYCN amplification) but not in IMR-32 cell line (MYCN amplification). In addition, the correlation of VMAT2 expression with metaiodobenzylguanidine (MIBG) avidity suggested a combination of VMAT2 inhibitor and MIBG radiation for a novel potential therapeutic strategy in ATRX-cluster cases. Thus, targeting the characteristics of unique neuroblastomas may prospectively improve prognosis. |
format | Online Article Text |
id | pubmed-7815088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78150882021-01-27 Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism Kimura, Shunsuke Sekiguchi, Masahiro Watanabe, Kentaro Hiwatarai, Mitsuteru Seki, Masafumi Yoshida, Kenichi Isobe, Tomoya Shiozawa, Yusuke Suzuki, Hiromichi Hoshino, Noriko Hayashi, Yasuhide Oka, Akira Miyano, Satoru Ogawa, Seishi Takita, Junko PLoS One Research Article Neuroblastoma, the most common extracranial solid malignancy among children, originates from undifferentiated neural crest cells (NCC). Despite recent intensified treatment, high-risk patients still have a high mortality rate. To explore a new therapeutic strategy, we performed an integrated genomic and transcriptomic analysis of 30 high-risk neuroblastoma cases. Based on the expression profiling of RNA sequencing, neuroblastoma was classified into Mesenchymal (MES; n = 5) and Noradrenergic (ADRN; n = 25) clusters, as previously reported in the super-enhancer landscape. The expression patterns in MES-cluster cases were similar to normal adrenal glands, with enrichment in secretion-related pathways, suggesting chromaffin cell-like features built from NCC-derived Schwann cell precursors (SCPs). In contrast, neuron-related pathways were enriched in the ADRN-cluster, indicating sympathoblast features reported to originate from NCC but not via SCPs. Thus, MES- and ADRN-clusters were assumed to be corresponding to differentiation pathways through SCP and sympathoblast, respectively. ADRN-cluster cases were further classified into MYCN- and ATRX-clusters, characterized by genetic alterations, MYCN amplifications and ATRX alterations, respectively. MYCN-cluster cases showed high expression of ALDH18A1, encoding P5CS related to proline production. As reported in other cancers, this might cause reprogramming of proline metabolism leading to tumor specific proline vulnerability candidate for a target therapy of metabolic pathway. In ATRX-cluster, SLC18A2 (VMAT2), an enzyme known to prevent cell toxicity due to the oxidation of dopamine, was highly expressed and VMAT2 inhibitor (GZ-793A) represented significant attenuation of cell growth in NB-69 cell line (high SLC18A2 expression, no MYCN amplification) but not in IMR-32 cell line (MYCN amplification). In addition, the correlation of VMAT2 expression with metaiodobenzylguanidine (MIBG) avidity suggested a combination of VMAT2 inhibitor and MIBG radiation for a novel potential therapeutic strategy in ATRX-cluster cases. Thus, targeting the characteristics of unique neuroblastomas may prospectively improve prognosis. Public Library of Science 2021-01-19 /pmc/articles/PMC7815088/ /pubmed/33465163 http://dx.doi.org/10.1371/journal.pone.0245526 Text en © 2021 Kimura et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Kimura, Shunsuke Sekiguchi, Masahiro Watanabe, Kentaro Hiwatarai, Mitsuteru Seki, Masafumi Yoshida, Kenichi Isobe, Tomoya Shiozawa, Yusuke Suzuki, Hiromichi Hoshino, Noriko Hayashi, Yasuhide Oka, Akira Miyano, Satoru Ogawa, Seishi Takita, Junko Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title | Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title_full | Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title_fullStr | Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title_full_unstemmed | Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title_short | Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
title_sort | association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815088/ https://www.ncbi.nlm.nih.gov/pubmed/33465163 http://dx.doi.org/10.1371/journal.pone.0245526 |
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