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Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma

INTRODUCTION: Osteosarcoma (OS) is a highly aggressive bone malignancy with a poor prognosis, mainly in children and adolescents. Immunogenic cell death (ICD) is classified as a type of programmed cell death associated with the tumor immune microenvironment, prognosis, and immunotherapy. However, th...

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Autores principales: Liu, Zhongyue, Liu, Binfeng, Feng, Chengyao, Li, Chenbei, Wang, Hua, Zhang, Haixia, Liu, Ping, Li, Zhihong, He, Shasha, Tu, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780438/
https://www.ncbi.nlm.nih.gov/pubmed/36569869
http://dx.doi.org/10.3389/fimmu.2022.1071636
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author Liu, Zhongyue
Liu, Binfeng
Feng, Chengyao
Li, Chenbei
Wang, Hua
Zhang, Haixia
Liu, Ping
Li, Zhihong
He, Shasha
Tu, Chao
author_facet Liu, Zhongyue
Liu, Binfeng
Feng, Chengyao
Li, Chenbei
Wang, Hua
Zhang, Haixia
Liu, Ping
Li, Zhihong
He, Shasha
Tu, Chao
author_sort Liu, Zhongyue
collection PubMed
description INTRODUCTION: Osteosarcoma (OS) is a highly aggressive bone malignancy with a poor prognosis, mainly in children and adolescents. Immunogenic cell death (ICD) is classified as a type of programmed cell death associated with the tumor immune microenvironment, prognosis, and immunotherapy. However, the feature of the ICD molecular subtype and the related tumor microenvironment (TME) and immune cell infiltration has not been carefully investigated in OS. METHODS: The ICD-related genes were extracted from previous studies, and the RNA expression profiles and corresponding data of OS were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus database. The ICD-related molecular subtypes were classed by the "ConsensusclusterPlus" package and the construction of ICD-related signatures through univariate regression analysis. ROC curves, independent analysis, and internal validation were used to evaluate signature performance. Moreover, a series of bioinformatic analyses were used for Immunotherapy efficacy, tumor immune microenvironments, and chemotherapeutic drug sensitivity between the high- and low-risk groups. RESULTS: Herein, we identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune response signaling among distinct ICD subtypes. Subsequently, a novel ICD-related prognostic signature was developed to determine its predictive performance in OS. Also, a highly accurate nomogram was then constructed to improve the clinical applicability of the novel ICD-related signature. Furthermore, we observed significant correlations between ICD risk score and TME, immunotherapy response, and chemotherapeutic drug sensitivity. Notably, the in vitro experiments further verified that high GALNT14 expression is closely associated with poor prognosis and malignant progress of OS. DISCUSSION: Hence, we identified and validated that the novel ICD-related signature could serve as a promising biomarker for the OS's prognosis, chemotherapy, and immunotherapy response prediction, providing guidance for personalized and accurate immunotherapy strategies for OS.
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spelling pubmed-97804382022-12-24 Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma Liu, Zhongyue Liu, Binfeng Feng, Chengyao Li, Chenbei Wang, Hua Zhang, Haixia Liu, Ping Li, Zhihong He, Shasha Tu, Chao Front Immunol Immunology INTRODUCTION: Osteosarcoma (OS) is a highly aggressive bone malignancy with a poor prognosis, mainly in children and adolescents. Immunogenic cell death (ICD) is classified as a type of programmed cell death associated with the tumor immune microenvironment, prognosis, and immunotherapy. However, the feature of the ICD molecular subtype and the related tumor microenvironment (TME) and immune cell infiltration has not been carefully investigated in OS. METHODS: The ICD-related genes were extracted from previous studies, and the RNA expression profiles and corresponding data of OS were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus database. The ICD-related molecular subtypes were classed by the "ConsensusclusterPlus" package and the construction of ICD-related signatures through univariate regression analysis. ROC curves, independent analysis, and internal validation were used to evaluate signature performance. Moreover, a series of bioinformatic analyses were used for Immunotherapy efficacy, tumor immune microenvironments, and chemotherapeutic drug sensitivity between the high- and low-risk groups. RESULTS: Herein, we identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune response signaling among distinct ICD subtypes. Subsequently, a novel ICD-related prognostic signature was developed to determine its predictive performance in OS. Also, a highly accurate nomogram was then constructed to improve the clinical applicability of the novel ICD-related signature. Furthermore, we observed significant correlations between ICD risk score and TME, immunotherapy response, and chemotherapeutic drug sensitivity. Notably, the in vitro experiments further verified that high GALNT14 expression is closely associated with poor prognosis and malignant progress of OS. DISCUSSION: Hence, we identified and validated that the novel ICD-related signature could serve as a promising biomarker for the OS's prognosis, chemotherapy, and immunotherapy response prediction, providing guidance for personalized and accurate immunotherapy strategies for OS. Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780438/ /pubmed/36569869 http://dx.doi.org/10.3389/fimmu.2022.1071636 Text en Copyright © 2022 Liu, Liu, Feng, Li, Wang, Zhang, Liu, Li, He and Tu 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
Liu, Zhongyue
Liu, Binfeng
Feng, Chengyao
Li, Chenbei
Wang, Hua
Zhang, Haixia
Liu, Ping
Li, Zhihong
He, Shasha
Tu, Chao
Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title_full Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title_fullStr Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title_full_unstemmed Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title_short Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
title_sort molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780438/
https://www.ncbi.nlm.nih.gov/pubmed/36569869
http://dx.doi.org/10.3389/fimmu.2022.1071636
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