Cargando…
An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy
Immune and stromal cells contribute to glioma progression by infiltrating the tumor microenvironment. We used clinical characteristics, RNA sequencing data and the ESTIMATE algorithm to obtain stromal and immune scores for alpha thalassemia retardation syndrome X-linked (ATRX)-mutation-type (ATRX-mt...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599764/ https://www.ncbi.nlm.nih.gov/pubmed/37812190 http://dx.doi.org/10.18632/aging.205088 |
_version_ | 1785125836901318656 |
---|---|
author | Cao, Wenpeng Sun, Ping Luo, Shipeng Zeng, Zhirui Xiao, Chaolun Yu, Wenfeng Lei, Shan |
author_facet | Cao, Wenpeng Sun, Ping Luo, Shipeng Zeng, Zhirui Xiao, Chaolun Yu, Wenfeng Lei, Shan |
author_sort | Cao, Wenpeng |
collection | PubMed |
description | Immune and stromal cells contribute to glioma progression by infiltrating the tumor microenvironment. We used clinical characteristics, RNA sequencing data and the ESTIMATE algorithm to obtain stromal and immune scores for alpha thalassemia retardation syndrome X-linked (ATRX)-mutation-type (ATRX-mt) and ATRX-wildtype (ATRX-wt) glioma tissues from The Cancer Genome Atlas. To identify specific immune biomarkers of glioma, we compared the gene expression profiles of ATRX-wt glioma tissues with high vs. low immune/stromal scores, and discovered 162 differentially expressed genes. The protein-protein interaction network based on these results contained 80 interacting genes, of which seven (HOXA5, PTPN2, WT1, HOXD10, POSTN, ADAMDEC1 and MYBPH) were identified as key prognostic genes via LASSO and Cox regression analyses. A risk model constructed using the expression of these seven genes could predict survival for ATRX-wt glioma patients, but was ineffective for ATRX-mt patients. T cells and macrophages were more prevalent in low-risk than in high-risk glioma tissues. Immune checkpoint blockade treatment was highly beneficial for patients with low risk scores. High-risk gliomas were predicted to be more sensitive to rapamycin, dasatinib, 5-fluorouracil and gemcitabine. Thus, our model can be used for the diagnosis, prognostic prediction and treatment planning of ATRX-wt glioma patients. |
format | Online Article Text |
id | pubmed-10599764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-105997642023-10-26 An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy Cao, Wenpeng Sun, Ping Luo, Shipeng Zeng, Zhirui Xiao, Chaolun Yu, Wenfeng Lei, Shan Aging (Albany NY) Research Paper Immune and stromal cells contribute to glioma progression by infiltrating the tumor microenvironment. We used clinical characteristics, RNA sequencing data and the ESTIMATE algorithm to obtain stromal and immune scores for alpha thalassemia retardation syndrome X-linked (ATRX)-mutation-type (ATRX-mt) and ATRX-wildtype (ATRX-wt) glioma tissues from The Cancer Genome Atlas. To identify specific immune biomarkers of glioma, we compared the gene expression profiles of ATRX-wt glioma tissues with high vs. low immune/stromal scores, and discovered 162 differentially expressed genes. The protein-protein interaction network based on these results contained 80 interacting genes, of which seven (HOXA5, PTPN2, WT1, HOXD10, POSTN, ADAMDEC1 and MYBPH) were identified as key prognostic genes via LASSO and Cox regression analyses. A risk model constructed using the expression of these seven genes could predict survival for ATRX-wt glioma patients, but was ineffective for ATRX-mt patients. T cells and macrophages were more prevalent in low-risk than in high-risk glioma tissues. Immune checkpoint blockade treatment was highly beneficial for patients with low risk scores. High-risk gliomas were predicted to be more sensitive to rapamycin, dasatinib, 5-fluorouracil and gemcitabine. Thus, our model can be used for the diagnosis, prognostic prediction and treatment planning of ATRX-wt glioma patients. Impact Journals 2023-10-06 /pmc/articles/PMC10599764/ /pubmed/37812190 http://dx.doi.org/10.18632/aging.205088 Text en Copyright: © 2023 Cao et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Cao, Wenpeng Sun, Ping Luo, Shipeng Zeng, Zhirui Xiao, Chaolun Yu, Wenfeng Lei, Shan An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title | An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title_full | An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title_fullStr | An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title_full_unstemmed | An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title_short | An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy |
title_sort | immune signature to predict the prognosis of atrx-wildtype glioma patients and guide immune checkpoint blockade therapy |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599764/ https://www.ncbi.nlm.nih.gov/pubmed/37812190 http://dx.doi.org/10.18632/aging.205088 |
work_keys_str_mv | AT caowenpeng animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT sunping animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT luoshipeng animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT zengzhirui animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT xiaochaolun animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT yuwenfeng animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT leishan animmunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT caowenpeng immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT sunping immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT luoshipeng immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT zengzhirui immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT xiaochaolun immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT yuwenfeng immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy AT leishan immunesignaturetopredicttheprognosisofatrxwildtypegliomapatientsandguideimmunecheckpointblockadetherapy |