Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma

Abstract Background Osteosarcoma is the most common primary bone tumor. The survival rate of osteosarcoma patients has not significantly increased in the past decades. Uncovering the mechanisms of malignancy, progression, and metastasis will shed light on the development of new therapeutic targets a...

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Main Authors: Yubao Gong, Zheng‐Ren Wei
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:Cancer Reports
Subjects:
Online Access:https://doi.org/10.1002/cnr2.1522
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author Yubao Gong
Zheng‐Ren Wei
author_facet Yubao Gong
Zheng‐Ren Wei
author_sort Yubao Gong
collection DOAJ
description Abstract Background Osteosarcoma is the most common primary bone tumor. The survival rate of osteosarcoma patients has not significantly increased in the past decades. Uncovering the mechanisms of malignancy, progression, and metastasis will shed light on the development of new therapeutic targets and treatment for osteosarcoma. Aim The aim of this study is to identify potential osteosarcoma biomarker and/or therapeutic targets by using integrated bioinformatics analysis. Methods and results We utilized existing gene expression datasets to identify differential expressed genes (DEGs) that could serve as osteosarcoma biomarkers or even as therapeutic targets. We found 48 DEGs were overlapped in three datasets. Among these 48 DEGs, PSMD14 was on the top of the up‐regulated gene list. We further found that higher PSMD14 expression was correlated with higher risk group (younger age group, ≤20.83 years of age), metastasis within 5 years and higher grade of tumor. Higher PSMD14 expression in osteosarcoma had positive correlation with higher infiltration of CD8+ T cells, neutrophils and myeloid dendritic cells. Kaplan‐Myer survival data further revealed that higher expression of PSMD14 predicted significantly worse prognosis (p = .013). Gene set enrichment analysis was further performed for the DEGs related to PSMD14 in osteosarcoma. We found that lower PSMD14 expression group had more immune responses such as interferon γ, α responses, inflammation response etc. However, the higher PSMD14 expression group had more cell proliferation‐related biological processes, such as G2M checkpoints and Myc targets. Through establishing protein–protein interaction networks using PSMD14 related DEGs, we identified 10 hub genes that were all ribosomal proteins. These hub genes may play roles in osteosarcoma tumorigenesis, progression and/or metastasis. Conclusion We identified PSMD14 gene as a possible osteosarcoma biomarker, and/or a possible therapeutic target.
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spelling doaj.art-ab5b25753cb44500a24b50c78dc620a22022-12-22T00:59:12ZengWileyCancer Reports2573-83482022-07-0157n/an/a10.1002/cnr2.1522Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcomaYubao Gong0Zheng‐Ren Wei1Department of Orthopedics Jilin University First Hospital Jilin ChinaDepartment of Pharmocology Jilin University Bethune College of Medicine Jilin ChinaAbstract Background Osteosarcoma is the most common primary bone tumor. The survival rate of osteosarcoma patients has not significantly increased in the past decades. Uncovering the mechanisms of malignancy, progression, and metastasis will shed light on the development of new therapeutic targets and treatment for osteosarcoma. Aim The aim of this study is to identify potential osteosarcoma biomarker and/or therapeutic targets by using integrated bioinformatics analysis. Methods and results We utilized existing gene expression datasets to identify differential expressed genes (DEGs) that could serve as osteosarcoma biomarkers or even as therapeutic targets. We found 48 DEGs were overlapped in three datasets. Among these 48 DEGs, PSMD14 was on the top of the up‐regulated gene list. We further found that higher PSMD14 expression was correlated with higher risk group (younger age group, ≤20.83 years of age), metastasis within 5 years and higher grade of tumor. Higher PSMD14 expression in osteosarcoma had positive correlation with higher infiltration of CD8+ T cells, neutrophils and myeloid dendritic cells. Kaplan‐Myer survival data further revealed that higher expression of PSMD14 predicted significantly worse prognosis (p = .013). Gene set enrichment analysis was further performed for the DEGs related to PSMD14 in osteosarcoma. We found that lower PSMD14 expression group had more immune responses such as interferon γ, α responses, inflammation response etc. However, the higher PSMD14 expression group had more cell proliferation‐related biological processes, such as G2M checkpoints and Myc targets. Through establishing protein–protein interaction networks using PSMD14 related DEGs, we identified 10 hub genes that were all ribosomal proteins. These hub genes may play roles in osteosarcoma tumorigenesis, progression and/or metastasis. Conclusion We identified PSMD14 gene as a possible osteosarcoma biomarker, and/or a possible therapeutic target.https://doi.org/10.1002/cnr2.1522biomarkerdifferential expressed genesgene set enrichment analysismetastasisosteosarcomaprognosis
spellingShingle Yubao Gong
Zheng‐Ren Wei
Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
Cancer Reports
biomarker
differential expressed genes
gene set enrichment analysis
metastasis
osteosarcoma
prognosis
title Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
title_full Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
title_fullStr Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
title_full_unstemmed Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
title_short Identification of PSMD14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
title_sort identification of psmd14 as a potential novel prognosis biomarker and therapeutic target for osteosarcoma
topic biomarker
differential expressed genes
gene set enrichment analysis
metastasis
osteosarcoma
prognosis
url https://doi.org/10.1002/cnr2.1522
work_keys_str_mv AT yubaogong identificationofpsmd14asapotentialnovelprognosisbiomarkerandtherapeutictargetforosteosarcoma
AT zhengrenwei identificationofpsmd14asapotentialnovelprognosisbiomarkerandtherapeutictargetforosteosarcoma