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内生软骨瘤向软骨肉瘤恶性转化中的关键基因表达模式及预后因素

The Key Gene Expression Patterns and Prognostic Factors in Malignant Transformation from Enchondroma to Chondrosarcoma.

作者信息

Wu Junqing, Huang Yue, Yu Chengxuan, Li Xia, Wang Limengmeng, Hong Jundong, Lin Daochao, Han Xiaoping, Guo Guoji, Hu Tianye, Huang He

机构信息

Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Institute of Hematology, Zhejiang University, Hangzhou, China.

出版信息

Front Oncol. 2021 Sep 10;11:693034. doi: 10.3389/fonc.2021.693034. eCollection 2021.

DOI:10.3389/fonc.2021.693034
PMID:34568022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8461174/
Abstract

Enchondroma (EC) is a common benign bone tumor. It has the risk of malignant transformation to Chondrosarcoma (CS). However, the underlying mechanism is unclear. The gene expression profile of EC and CS was obtained from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using GEO2R. We conducted the enrichment analysis and constructed the gene interaction network using the DEGs. We found that the epithelial-mesenchymal transition (EMT) and the VEGFA-VEGF2R signaling pathway were more active in CS. The CD8 T cell immunity was enhanced in CS I. We believed that four genes (MFAP2, GOLM1, STMN1, and HN1) were poor predictors of prognosis, while two genes (CAB39L and GAB2) indicated a good prognosis. We have revealed the mechanism in the tumor progression and identified the key genes that predicted the prognosis. This study provided new ideas for the diagnosis and treatment of EC and CS.

摘要

内生软骨瘤(EC)是一种常见的良性骨肿瘤。它有恶变为软骨肉瘤(CS)的风险。然而,其潜在机制尚不清楚。从基因表达综合数据库(GEO)中获取了EC和CS的基因表达谱。使用GEO2R识别差异表达基因(DEG)。我们对DEG进行了富集分析并构建了基因相互作用网络。我们发现上皮-间质转化(EMT)和VEGFA-VEGF2R信号通路在CS中更活跃。CS I中CD8 T细胞免疫增强。我们认为四个基因(MFAP2、GOLM1、STMN1和HN1)是预后不良的预测指标,而两个基因(CAB39L和GAB2)表明预后良好。我们揭示了肿瘤进展的机制并确定了预测预后的关键基因。本研究为EC和CS的诊断和治疗提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/92c438d3f548/fonc-11-693034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/db150cfe1e6e/fonc-11-693034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/ef20792b3933/fonc-11-693034-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/92c438d3f548/fonc-11-693034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/db150cfe1e6e/fonc-11-693034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/ef20792b3933/fonc-11-693034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/7d526591492c/fonc-11-693034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f17/8461174/92c438d3f548/fonc-11-693034-g004.jpg

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