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Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis
BACKGROUND: Stomach adenocarcinoma (STAD), is the most common histological type of gastric cancer (GC) with high mortality and poor prognosis. We sought to investigate the contribution of Notch receptor 1 (NOTCH1) to STAD immunity. METHODS: The profiles of immune cells in STAD cohorts were compared,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459204/ https://www.ncbi.nlm.nih.gov/pubmed/36092350 http://dx.doi.org/10.21037/jgo-22-685 |
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author | Pan, Dun Lin, Chun Lin, Xin Li, Liangqing |
author_facet | Pan, Dun Lin, Chun Lin, Xin Li, Liangqing |
author_sort | Pan, Dun |
collection | PubMed |
description | BACKGROUND: Stomach adenocarcinoma (STAD), is the most common histological type of gastric cancer (GC) with high mortality and poor prognosis. We sought to investigate the contribution of Notch receptor 1 (NOTCH1) to STAD immunity. METHODS: The profiles of immune cells in STAD cohorts were compared, and a correlation analysis between the NOTCH1 gene and tumor immune cell infiltration was then conducted. The immune-related genes (IRGs) associated with the NOTCH1 gene were identified. Based on the NOTCH1-associated IRGs, multiple-gene risk prediction signatures were established. The relationship between the expression levels of the selected IRGs and overall survival (OS) was analyzed by a univariate analysis. The risk score was calculated using the formula of β1x1 + β2x2 +... + βixi. A prognostic nomogram was constructed to predict individuals’ survival probabilities. RESULTS: In STAD, NOTCH1 expression levels were significantly negatively associated with tumor-infiltrating lymphocyte (TIL) Act dendritic cells (DCs) (r=−0.196, P value =6.24e-05), TIL cluster of differentiation (CD) 56 bright cells (r=−0.115, P value =0.0193), TIL immature DCs (r=−0.293, P value =1.16e-09), TIL monocyte cells (r=−0.185, P value =0.000149), TIL central memory T CD4 cells (r=−0.126, P value =0.0103), and TIL gamma delta T cells (r=−0.149, P value =0.00229). The resulting risk scores of the 8-gene risk prediction signature (corticotrophin releasing hormone receptor 2 (CRHR2) (HR =1.858, P value =0.048), fms related receptor tyrosine kinase 1 (FLT1) (HR =1.268, P value =0.048), fms related receptor tyrosine kinase 4 (FLT4) (HR =1.334, P value =0.031), glial fibrillary acidic protein (GFAP) (HR =2.739, P value =0.008), platelet-derived growth factor receptor beta (PDGFRB) (HR =1.192, P value =0.02), prostaglandin D2 receptor (PTGDR) (HR =1.564, P value =0.049), semaphorin 5B (SEMA5B) (HR =1.154, P value =0.029), and tyrosine kinase 2 (TYK2) (HR =0.734, P value =0.041) were independent prognostic predictors for STAD patients. CONCLUSIONS: NOTCH1 could be a potential target for STAD. The mechanisms underpinning NOTCH1-medicated prognostic values of immune signatures should be further explored. |
format | Online Article Text |
id | pubmed-9459204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-94592042022-09-10 Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis Pan, Dun Lin, Chun Lin, Xin Li, Liangqing J Gastrointest Oncol Original Article BACKGROUND: Stomach adenocarcinoma (STAD), is the most common histological type of gastric cancer (GC) with high mortality and poor prognosis. We sought to investigate the contribution of Notch receptor 1 (NOTCH1) to STAD immunity. METHODS: The profiles of immune cells in STAD cohorts were compared, and a correlation analysis between the NOTCH1 gene and tumor immune cell infiltration was then conducted. The immune-related genes (IRGs) associated with the NOTCH1 gene were identified. Based on the NOTCH1-associated IRGs, multiple-gene risk prediction signatures were established. The relationship between the expression levels of the selected IRGs and overall survival (OS) was analyzed by a univariate analysis. The risk score was calculated using the formula of β1x1 + β2x2 +... + βixi. A prognostic nomogram was constructed to predict individuals’ survival probabilities. RESULTS: In STAD, NOTCH1 expression levels were significantly negatively associated with tumor-infiltrating lymphocyte (TIL) Act dendritic cells (DCs) (r=−0.196, P value =6.24e-05), TIL cluster of differentiation (CD) 56 bright cells (r=−0.115, P value =0.0193), TIL immature DCs (r=−0.293, P value =1.16e-09), TIL monocyte cells (r=−0.185, P value =0.000149), TIL central memory T CD4 cells (r=−0.126, P value =0.0103), and TIL gamma delta T cells (r=−0.149, P value =0.00229). The resulting risk scores of the 8-gene risk prediction signature (corticotrophin releasing hormone receptor 2 (CRHR2) (HR =1.858, P value =0.048), fms related receptor tyrosine kinase 1 (FLT1) (HR =1.268, P value =0.048), fms related receptor tyrosine kinase 4 (FLT4) (HR =1.334, P value =0.031), glial fibrillary acidic protein (GFAP) (HR =2.739, P value =0.008), platelet-derived growth factor receptor beta (PDGFRB) (HR =1.192, P value =0.02), prostaglandin D2 receptor (PTGDR) (HR =1.564, P value =0.049), semaphorin 5B (SEMA5B) (HR =1.154, P value =0.029), and tyrosine kinase 2 (TYK2) (HR =0.734, P value =0.041) were independent prognostic predictors for STAD patients. CONCLUSIONS: NOTCH1 could be a potential target for STAD. The mechanisms underpinning NOTCH1-medicated prognostic values of immune signatures should be further explored. AME Publishing Company 2022-08 /pmc/articles/PMC9459204/ /pubmed/36092350 http://dx.doi.org/10.21037/jgo-22-685 Text en 2022 Journal of Gastrointestinal Oncology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Pan, Dun Lin, Chun Lin, Xin Li, Liangqing Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title | Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title_full | Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title_fullStr | Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title_full_unstemmed | Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title_short | Identification of 8-gene risk prediction signature associated with NOTCH1 in stomach adenocarcinoma based on bioinformatics analysis |
title_sort | identification of 8-gene risk prediction signature associated with notch1 in stomach adenocarcinoma based on bioinformatics analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459204/ https://www.ncbi.nlm.nih.gov/pubmed/36092350 http://dx.doi.org/10.21037/jgo-22-685 |
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