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An immune-related gene prognostic risk index for pancreatic adenocarcinoma

OBJECTIVE: Our goal is to construct an immune-related gene prognostic risk index (IRGPRI) for pancreatic adenocarcinoma (PAAD), and to clarify the immune and molecular features in IRGPRI-defined PAAD subgroups and the benefit of immune checkpoint inhibitors (ICIs) therapy. METHOD: Through differenti...

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Detalles Bibliográficos
Autores principales: Su, Yang, Qi, Ruoshan, Li, Lanying, Wang, Xu, Li, Sijin, Zhao, Xuan, Hou, Rui, Ma, Wen, Liu, Dan, Zheng, Junnian, Shi, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360334/
https://www.ncbi.nlm.nih.gov/pubmed/35958614
http://dx.doi.org/10.3389/fimmu.2022.945878
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author Su, Yang
Qi, Ruoshan
Li, Lanying
Wang, Xu
Li, Sijin
Zhao, Xuan
Hou, Rui
Ma, Wen
Liu, Dan
Zheng, Junnian
Shi, Ming
author_facet Su, Yang
Qi, Ruoshan
Li, Lanying
Wang, Xu
Li, Sijin
Zhao, Xuan
Hou, Rui
Ma, Wen
Liu, Dan
Zheng, Junnian
Shi, Ming
author_sort Su, Yang
collection PubMed
description OBJECTIVE: Our goal is to construct an immune-related gene prognostic risk index (IRGPRI) for pancreatic adenocarcinoma (PAAD), and to clarify the immune and molecular features in IRGPRI-defined PAAD subgroups and the benefit of immune checkpoint inhibitors (ICIs) therapy. METHOD: Through differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), and univariate Cox regression analysis, 16 immune-related hub genes were identified using the Cancer Genome Atlas (TCGA) PAAD dataset (n = 182) and immune gene set. From these genes, we constructed an IRGPRI with the Cox regression method and the IRGPRI was verified based on the Gene Expression Omnibus (GEO) dataset (n = 45). Then, we analyzed the immune and molecular features and the benefit of ICI therapy in IRGPRI-defined subgroups. RESULTS: Five genes, including S100A16, CD40, VCAM1, TNFRSF4 and TRAF1 were used to construct IRGPRI. As with the results of the GEO cohort, the overall survival (OS) was more favorable in low IRGPRI patients versus high IRGPRI patients. The composite results pointed out that low IRGPRI was associated with immune response-related pathways, high level of CTLA4, low KRAS and TP53 mutation rate, more infiltration of activated memory CD4(+) T cells, CD8(+) T cells, and more benefits from ICIs therapy. In comparison, high IRGPRI was associated with cancer-related pathways, low expression of CTLA4, high KRAS and TP53 mutation rate, more infiltration of M2 macrophages, and less benefit from ICIs therapies. CONCLUSION: This IRGPRI is an encouraging biomarker to define the prognosis, immune and molecular features, and benefits from ICIs treatments in PAAD.
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spelling pubmed-93603342022-08-10 An immune-related gene prognostic risk index for pancreatic adenocarcinoma Su, Yang Qi, Ruoshan Li, Lanying Wang, Xu Li, Sijin Zhao, Xuan Hou, Rui Ma, Wen Liu, Dan Zheng, Junnian Shi, Ming Front Immunol Immunology OBJECTIVE: Our goal is to construct an immune-related gene prognostic risk index (IRGPRI) for pancreatic adenocarcinoma (PAAD), and to clarify the immune and molecular features in IRGPRI-defined PAAD subgroups and the benefit of immune checkpoint inhibitors (ICIs) therapy. METHOD: Through differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), and univariate Cox regression analysis, 16 immune-related hub genes were identified using the Cancer Genome Atlas (TCGA) PAAD dataset (n = 182) and immune gene set. From these genes, we constructed an IRGPRI with the Cox regression method and the IRGPRI was verified based on the Gene Expression Omnibus (GEO) dataset (n = 45). Then, we analyzed the immune and molecular features and the benefit of ICI therapy in IRGPRI-defined subgroups. RESULTS: Five genes, including S100A16, CD40, VCAM1, TNFRSF4 and TRAF1 were used to construct IRGPRI. As with the results of the GEO cohort, the overall survival (OS) was more favorable in low IRGPRI patients versus high IRGPRI patients. The composite results pointed out that low IRGPRI was associated with immune response-related pathways, high level of CTLA4, low KRAS and TP53 mutation rate, more infiltration of activated memory CD4(+) T cells, CD8(+) T cells, and more benefits from ICIs therapy. In comparison, high IRGPRI was associated with cancer-related pathways, low expression of CTLA4, high KRAS and TP53 mutation rate, more infiltration of M2 macrophages, and less benefit from ICIs therapies. CONCLUSION: This IRGPRI is an encouraging biomarker to define the prognosis, immune and molecular features, and benefits from ICIs treatments in PAAD. Frontiers Media S.A. 2022-07-26 /pmc/articles/PMC9360334/ /pubmed/35958614 http://dx.doi.org/10.3389/fimmu.2022.945878 Text en Copyright © 2022 Su, Qi, Li, Wang, Li, Zhao, Hou, Ma, Liu, Zheng and Shi 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
Su, Yang
Qi, Ruoshan
Li, Lanying
Wang, Xu
Li, Sijin
Zhao, Xuan
Hou, Rui
Ma, Wen
Liu, Dan
Zheng, Junnian
Shi, Ming
An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title_full An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title_fullStr An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title_full_unstemmed An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title_short An immune-related gene prognostic risk index for pancreatic adenocarcinoma
title_sort immune-related gene prognostic risk index for pancreatic adenocarcinoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360334/
https://www.ncbi.nlm.nih.gov/pubmed/35958614
http://dx.doi.org/10.3389/fimmu.2022.945878
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