Cargando…

Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma

Osteosarcoma is the most common malignant bone tumor that seriously threatens the lives of teenagers and children. Zinc finger (ZNF) protein genes encode the largest transcription factor family in the human genome. Aberrant expressions of ZNF protein genes widely occur in osteosarcoma, and these gen...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Xiangran, Zheng, Di, Guo, Weichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914066/
https://www.ncbi.nlm.nih.gov/pubmed/35281811
http://dx.doi.org/10.3389/fgene.2022.835014
_version_ 1784667616056442880
author Sun, Xiangran
Zheng, Di
Guo, Weichun
author_facet Sun, Xiangran
Zheng, Di
Guo, Weichun
author_sort Sun, Xiangran
collection PubMed
description Osteosarcoma is the most common malignant bone tumor that seriously threatens the lives of teenagers and children. Zinc finger (ZNF) protein genes encode the largest transcription factor family in the human genome. Aberrant expressions of ZNF protein genes widely occur in osteosarcoma, and these genes are therefore attractive biomarker candidates for prognosis prediction. In this study, we conducted a comprehensive analysis of ZNF protein genes in osteosarcoma and identified prognosis-related ZNF protein genes. Then, we constructed a prognostic signature based on seven prognosis-related ZNF protein genes and stratified patients into high- and low-risk groups. The seven genes included MKRN3, ZNF71, ZNF438, ZNF597, ATMIN, ZNF692, and ZNF525. After validation of the prognostic signature in internal and external cohorts, we constructed a nomogram including clinical features such as sex and age and the relative risk score based on the risk signature. Functional enrichment analysis of the risk-related differentially expressed genes revealed that the prognostic signature was closely associated with immune-related biological processes and signaling pathways. Moreover, we found significant differences between the high- and low-risk groups for the scores of diverse immune cell subpopulations, including CD8(+) T cells, neutrophils, Th1 cells, and TILs. Regarding immune function, APC co-inhibition, HLA, inflammation promotion, para-inflammation, T-cell co-inhibition, and the type I IFN response were significantly different between the high- and low-risk groups. Of the seven ZNF protein genes, lower expressions of ATMIN, MKRN3, ZNF71, ZNF438, and ZNF597 were correlated with a high risk, while higher expressions of ZNF525 and ZNF692 were associated with a high risk. The Kaplan–Meier survival analysis suggested that lower expressions of ATMIN, ZNF438, and ZNF597 and the higher expression of ZNF692 were associated with worse overall survival in osteosarcoma. In conclusion, our ZNF protein gene–based signature was a novel and clinically useful prognostic biomarker for osteosarcoma patients.
format Online
Article
Text
id pubmed-8914066
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89140662022-03-12 Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma Sun, Xiangran Zheng, Di Guo, Weichun Front Genet Genetics Osteosarcoma is the most common malignant bone tumor that seriously threatens the lives of teenagers and children. Zinc finger (ZNF) protein genes encode the largest transcription factor family in the human genome. Aberrant expressions of ZNF protein genes widely occur in osteosarcoma, and these genes are therefore attractive biomarker candidates for prognosis prediction. In this study, we conducted a comprehensive analysis of ZNF protein genes in osteosarcoma and identified prognosis-related ZNF protein genes. Then, we constructed a prognostic signature based on seven prognosis-related ZNF protein genes and stratified patients into high- and low-risk groups. The seven genes included MKRN3, ZNF71, ZNF438, ZNF597, ATMIN, ZNF692, and ZNF525. After validation of the prognostic signature in internal and external cohorts, we constructed a nomogram including clinical features such as sex and age and the relative risk score based on the risk signature. Functional enrichment analysis of the risk-related differentially expressed genes revealed that the prognostic signature was closely associated with immune-related biological processes and signaling pathways. Moreover, we found significant differences between the high- and low-risk groups for the scores of diverse immune cell subpopulations, including CD8(+) T cells, neutrophils, Th1 cells, and TILs. Regarding immune function, APC co-inhibition, HLA, inflammation promotion, para-inflammation, T-cell co-inhibition, and the type I IFN response were significantly different between the high- and low-risk groups. Of the seven ZNF protein genes, lower expressions of ATMIN, MKRN3, ZNF71, ZNF438, and ZNF597 were correlated with a high risk, while higher expressions of ZNF525 and ZNF692 were associated with a high risk. The Kaplan–Meier survival analysis suggested that lower expressions of ATMIN, ZNF438, and ZNF597 and the higher expression of ZNF692 were associated with worse overall survival in osteosarcoma. In conclusion, our ZNF protein gene–based signature was a novel and clinically useful prognostic biomarker for osteosarcoma patients. Frontiers Media S.A. 2022-02-25 /pmc/articles/PMC8914066/ /pubmed/35281811 http://dx.doi.org/10.3389/fgene.2022.835014 Text en Copyright © 2022 Sun, Zheng and Guo. 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 Genetics
Sun, Xiangran
Zheng, Di
Guo, Weichun
Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title_full Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title_fullStr Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title_full_unstemmed Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title_short Comprehensive Analysis of a Zinc Finger Protein Gene–Based Signature with Regard to Prognosis and Tumor Immune Microenvironment in Osteosarcoma
title_sort comprehensive analysis of a zinc finger protein gene–based signature with regard to prognosis and tumor immune microenvironment in osteosarcoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914066/
https://www.ncbi.nlm.nih.gov/pubmed/35281811
http://dx.doi.org/10.3389/fgene.2022.835014
work_keys_str_mv AT sunxiangran comprehensiveanalysisofazincfingerproteingenebasedsignaturewithregardtoprognosisandtumorimmunemicroenvironmentinosteosarcoma
AT zhengdi comprehensiveanalysisofazincfingerproteingenebasedsignaturewithregardtoprognosisandtumorimmunemicroenvironmentinosteosarcoma
AT guoweichun comprehensiveanalysisofazincfingerproteingenebasedsignaturewithregardtoprognosisandtumorimmunemicroenvironmentinosteosarcoma