Cargando…

Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma

INTRODUCTION: Neuroblastoma (NB) is a common extracranial tumor in children and is highly heterogeneous. The factors influencing the prognosis of NB are not simple. METHODS: To investigate the effect of cell senescence on the prognosis of NB and tumor immune microenvironment, 498 samples of NB patie...

Descripción completa

Detalles Bibliográficos
Autores principales: Tan, Jiaxiong, Wang, Chaoyu, Jin, Yan, Xia, Yuren, Gong, Baocheng, Zhao, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687280/
https://www.ncbi.nlm.nih.gov/pubmed/38035110
http://dx.doi.org/10.3389/fimmu.2023.1309138
_version_ 1785151950143094784
author Tan, Jiaxiong
Wang, Chaoyu
Jin, Yan
Xia, Yuren
Gong, Baocheng
Zhao, Qiang
author_facet Tan, Jiaxiong
Wang, Chaoyu
Jin, Yan
Xia, Yuren
Gong, Baocheng
Zhao, Qiang
author_sort Tan, Jiaxiong
collection PubMed
description INTRODUCTION: Neuroblastoma (NB) is a common extracranial tumor in children and is highly heterogeneous. The factors influencing the prognosis of NB are not simple. METHODS: To investigate the effect of cell senescence on the prognosis of NB and tumor immune microenvironment, 498 samples of NB patients and 307 cellular senescence-related genes were used to construct a prediction signature. RESULTS: A signature based on six optimal candidate genes (TP53, IL-7, PDGFRA, S100B, DLL3, and TP63) was successfully constructed and proved to have good prognostic ability. Through verification, the signature had more advantages than the gene expression level alone in evaluating prognosis was found. Further T cell phenotype analysis displayed that exhausted phenotype PD-1 and senescence-related phenotype CD244 were highly expressed in CD8+ T cell in MYCN-amplified group with higher risk-score. CONCLUSION: A signature constructed the six MYCN-amplified differential genes and aging-related genes can be used to predict the prognosis of NB better than using each high-risk gene individually and to evaluate immunosuppressed and aging tumor microenvironment.
format Online
Article
Text
id pubmed-10687280
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106872802023-11-30 Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma Tan, Jiaxiong Wang, Chaoyu Jin, Yan Xia, Yuren Gong, Baocheng Zhao, Qiang Front Immunol Immunology INTRODUCTION: Neuroblastoma (NB) is a common extracranial tumor in children and is highly heterogeneous. The factors influencing the prognosis of NB are not simple. METHODS: To investigate the effect of cell senescence on the prognosis of NB and tumor immune microenvironment, 498 samples of NB patients and 307 cellular senescence-related genes were used to construct a prediction signature. RESULTS: A signature based on six optimal candidate genes (TP53, IL-7, PDGFRA, S100B, DLL3, and TP63) was successfully constructed and proved to have good prognostic ability. Through verification, the signature had more advantages than the gene expression level alone in evaluating prognosis was found. Further T cell phenotype analysis displayed that exhausted phenotype PD-1 and senescence-related phenotype CD244 were highly expressed in CD8+ T cell in MYCN-amplified group with higher risk-score. CONCLUSION: A signature constructed the six MYCN-amplified differential genes and aging-related genes can be used to predict the prognosis of NB better than using each high-risk gene individually and to evaluate immunosuppressed and aging tumor microenvironment. Frontiers Media S.A. 2023-11-16 /pmc/articles/PMC10687280/ /pubmed/38035110 http://dx.doi.org/10.3389/fimmu.2023.1309138 Text en Copyright © 2023 Tan, Wang, Jin, Xia, Gong and Zhao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Tan, Jiaxiong
Wang, Chaoyu
Jin, Yan
Xia, Yuren
Gong, Baocheng
Zhao, Qiang
Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title_full Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title_fullStr Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title_full_unstemmed Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title_short Optimal combination of MYCN differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
title_sort optimal combination of mycn differential gene and cellular senescence gene predicts adverse outcomes in patients with neuroblastoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687280/
https://www.ncbi.nlm.nih.gov/pubmed/38035110
http://dx.doi.org/10.3389/fimmu.2023.1309138
work_keys_str_mv AT tanjiaxiong optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma
AT wangchaoyu optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma
AT jinyan optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma
AT xiayuren optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma
AT gongbaocheng optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma
AT zhaoqiang optimalcombinationofmycndifferentialgeneandcellularsenescencegenepredictsadverseoutcomesinpatientswithneuroblastoma