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COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome
BACKGROUND: Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate a Robust Prognostic Model for IDH wild-type GBM (COVPRIG) for the prediction of overall survival using a novel metric,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408096/ https://www.ncbi.nlm.nih.gov/pubmed/37553713 http://dx.doi.org/10.1186/s12967-023-04382-2 |
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author | Ji, Hang Wang, Fang Liu, Zhihui Li, Yue Sun, Haogeng Xiao, Anqi Zhang, Huanxin You, Chao Hu, Shaoshan Liu, Yi |
author_facet | Ji, Hang Wang, Fang Liu, Zhihui Li, Yue Sun, Haogeng Xiao, Anqi Zhang, Huanxin You, Chao Hu, Shaoshan Liu, Yi |
author_sort | Ji, Hang |
collection | PubMed |
description | BACKGROUND: Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate a Robust Prognostic Model for IDH wild-type GBM (COVPRIG) for the prediction of overall survival using a novel metric, gene–gene (G × G) interaction, and explore molecular and cellular underpinnings. METHODS: Univariate and multivariate Cox regression of four independent trans-ethnic cohorts containing a total of 800 samples. Prediction efficacy was comprehensively evaluated and compared with previous models by a systematic literature review. The molecular underpinnings of COVPRIG were elucidated by integrated analysis of bulk-tumor and single-cell based datasets. RESULTS: Using a Cox-ph model-based method, six of the 93,961 G × G interactions were screened to form an optimal combination which, together with age, comprised the COVPRIG model. COVPRIG was designed for RNA-seq and microarray, respectively, and effectively identified patients at high risk of mortality. The predictive performance of COVPRIG was satisfactory, with area under the curve (AUC) ranging from 0.56 (CGGA693, RNA-seq, 6-month survival) to 0.79 (TCGA RNAseq, 18-month survival), which can be further validated by decision curves. Nomograms were constructed for individual risk prediction for RNA-seq and microarray-based cohorts, respectively. Besides, the prognostic significance of COVPRIG was also validated in GBM including the IDH mutant samples. Notably, COVPRIG was comprehensively evaluated and externally validated, and a systemic review disclosed that COVPRIG outperformed current validated models with an integrated discrimination improvement (IDI) of 6–16%. Moreover, integrative bioinformatics analysis predicted an essential role of METTL1(+) neural-progenitor-like (NPC-like) malignant cell in driving unfavorable outcome. CONCLUSION: This study provided a powerful tool for the outcome prediction for IDH wild-type GBM, and preliminary molecular underpinnings for future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04382-2. |
format | Online Article Text |
id | pubmed-10408096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104080962023-08-09 COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome Ji, Hang Wang, Fang Liu, Zhihui Li, Yue Sun, Haogeng Xiao, Anqi Zhang, Huanxin You, Chao Hu, Shaoshan Liu, Yi J Transl Med Research BACKGROUND: Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate a Robust Prognostic Model for IDH wild-type GBM (COVPRIG) for the prediction of overall survival using a novel metric, gene–gene (G × G) interaction, and explore molecular and cellular underpinnings. METHODS: Univariate and multivariate Cox regression of four independent trans-ethnic cohorts containing a total of 800 samples. Prediction efficacy was comprehensively evaluated and compared with previous models by a systematic literature review. The molecular underpinnings of COVPRIG were elucidated by integrated analysis of bulk-tumor and single-cell based datasets. RESULTS: Using a Cox-ph model-based method, six of the 93,961 G × G interactions were screened to form an optimal combination which, together with age, comprised the COVPRIG model. COVPRIG was designed for RNA-seq and microarray, respectively, and effectively identified patients at high risk of mortality. The predictive performance of COVPRIG was satisfactory, with area under the curve (AUC) ranging from 0.56 (CGGA693, RNA-seq, 6-month survival) to 0.79 (TCGA RNAseq, 18-month survival), which can be further validated by decision curves. Nomograms were constructed for individual risk prediction for RNA-seq and microarray-based cohorts, respectively. Besides, the prognostic significance of COVPRIG was also validated in GBM including the IDH mutant samples. Notably, COVPRIG was comprehensively evaluated and externally validated, and a systemic review disclosed that COVPRIG outperformed current validated models with an integrated discrimination improvement (IDI) of 6–16%. Moreover, integrative bioinformatics analysis predicted an essential role of METTL1(+) neural-progenitor-like (NPC-like) malignant cell in driving unfavorable outcome. CONCLUSION: This study provided a powerful tool for the outcome prediction for IDH wild-type GBM, and preliminary molecular underpinnings for future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04382-2. BioMed Central 2023-08-08 /pmc/articles/PMC10408096/ /pubmed/37553713 http://dx.doi.org/10.1186/s12967-023-04382-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ji, Hang Wang, Fang Liu, Zhihui Li, Yue Sun, Haogeng Xiao, Anqi Zhang, Huanxin You, Chao Hu, Shaoshan Liu, Yi COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title | COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title_full | COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title_fullStr | COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title_full_unstemmed | COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title_short | COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
title_sort | covprig robustly predicts the overall survival of idh wild-type glioblastoma and highlights mettl1(+) neural-progenitor-like tumor cell in driving unfavorable outcome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408096/ https://www.ncbi.nlm.nih.gov/pubmed/37553713 http://dx.doi.org/10.1186/s12967-023-04382-2 |
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