Cargando…

Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer

INTRODUCTION: Gastric cancer (GC) is the fifth most prevalent cancer globally, with the third highest case fatality rate. Neutrophil extracellular traps (NETs) are a reticulated structure of DNA, histones, and antimicrobial peptides produced by active neutrophils that trap pathogens. Even though NET...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Mingzhe, Zhao, Zidan, Mak, Tsz Kin, Wang, Xiaoqun, Chen, Jingyao, Ren, Hui, Yu, Zhiwei, Zhang, Changhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447905/
https://www.ncbi.nlm.nih.gov/pubmed/37636564
http://dx.doi.org/10.3389/fmed.2023.1174764
_version_ 1785094607497854976
author Li, Mingzhe
Zhao, Zidan
Mak, Tsz Kin
Wang, Xiaoqun
Chen, Jingyao
Ren, Hui
Yu, Zhiwei
Zhang, Changhua
author_facet Li, Mingzhe
Zhao, Zidan
Mak, Tsz Kin
Wang, Xiaoqun
Chen, Jingyao
Ren, Hui
Yu, Zhiwei
Zhang, Changhua
author_sort Li, Mingzhe
collection PubMed
description INTRODUCTION: Gastric cancer (GC) is the fifth most prevalent cancer globally, with the third highest case fatality rate. Neutrophil extracellular traps (NETs) are a reticulated structure of DNA, histones, and antimicrobial peptides produced by active neutrophils that trap pathogens. Even though NETs are associated with poorer recurrence-free survival (RFS) and overall survival (OS), the specifics of this interaction between NETs and cancer cells are yet unknown. METHODS: The keywords “neutrophil extracellular traps and gastric cancer” were used in the GEO database for retrieval, and the GSE188741 dataset was selected to obtain the NETs-related gene. 27 NETs-related genes were screened by univariate Cox regression analysis (p < 0.05). 27 NETs-related genes were employed to identify and categorize NETs-subgroups of GC patients under the Consensus clustering analysis. 808 GC patients in TCGA-STAD combined with GES84437 were randomly divided into a training group (n = 403) and a test group (n = 403) at a ratio of 1:1 to validate the NETs-related signature. RESULTS: Based on Multivariate Cox regression and LASSO regression analysis to develop a NETs-related prognosis model. We developed a very specific nomogram to improve the NETs-clinical score’s usefulness. Similarly, we also performed a great result in pan-cancer study with NETs-score. Low NETs scores were linked to higher MSI-H (microsatellite instability-high), mutation load, and immune activity. The cancer stem cell (CSC) index and chemotherapeutic treatment sensitivity were also connected to the NET score. Our comprehensive analysis of NETs in GC suggests that NETs have a role in the tumor microenvironment, clinicopathological features, and prognosis. DISCUSSION: The NETs-score risk model provides a basis for better prognosis and therapy outcomes in GC patients.
format Online
Article
Text
id pubmed-10447905
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104479052023-08-25 Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer Li, Mingzhe Zhao, Zidan Mak, Tsz Kin Wang, Xiaoqun Chen, Jingyao Ren, Hui Yu, Zhiwei Zhang, Changhua Front Med (Lausanne) Medicine INTRODUCTION: Gastric cancer (GC) is the fifth most prevalent cancer globally, with the third highest case fatality rate. Neutrophil extracellular traps (NETs) are a reticulated structure of DNA, histones, and antimicrobial peptides produced by active neutrophils that trap pathogens. Even though NETs are associated with poorer recurrence-free survival (RFS) and overall survival (OS), the specifics of this interaction between NETs and cancer cells are yet unknown. METHODS: The keywords “neutrophil extracellular traps and gastric cancer” were used in the GEO database for retrieval, and the GSE188741 dataset was selected to obtain the NETs-related gene. 27 NETs-related genes were screened by univariate Cox regression analysis (p < 0.05). 27 NETs-related genes were employed to identify and categorize NETs-subgroups of GC patients under the Consensus clustering analysis. 808 GC patients in TCGA-STAD combined with GES84437 were randomly divided into a training group (n = 403) and a test group (n = 403) at a ratio of 1:1 to validate the NETs-related signature. RESULTS: Based on Multivariate Cox regression and LASSO regression analysis to develop a NETs-related prognosis model. We developed a very specific nomogram to improve the NETs-clinical score’s usefulness. Similarly, we also performed a great result in pan-cancer study with NETs-score. Low NETs scores were linked to higher MSI-H (microsatellite instability-high), mutation load, and immune activity. The cancer stem cell (CSC) index and chemotherapeutic treatment sensitivity were also connected to the NET score. Our comprehensive analysis of NETs in GC suggests that NETs have a role in the tumor microenvironment, clinicopathological features, and prognosis. DISCUSSION: The NETs-score risk model provides a basis for better prognosis and therapy outcomes in GC patients. Frontiers Media S.A. 2023-08-10 /pmc/articles/PMC10447905/ /pubmed/37636564 http://dx.doi.org/10.3389/fmed.2023.1174764 Text en Copyright © 2023 Li, Zhao, Mak, Wang, Chen, Ren, Yu and Zhang. 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 Medicine
Li, Mingzhe
Zhao, Zidan
Mak, Tsz Kin
Wang, Xiaoqun
Chen, Jingyao
Ren, Hui
Yu, Zhiwei
Zhang, Changhua
Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title_full Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title_fullStr Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title_full_unstemmed Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title_short Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
title_sort neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447905/
https://www.ncbi.nlm.nih.gov/pubmed/37636564
http://dx.doi.org/10.3389/fmed.2023.1174764
work_keys_str_mv AT limingzhe neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT zhaozidan neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT maktszkin neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT wangxiaoqun neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT chenjingyao neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT renhui neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT yuzhiwei neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer
AT zhangchanghua neutrophilextracellulartrapsrelatedsignaturepredictstheprognosisandimmuneinfiltrationingastriccancer