Prognostic Bone Metastasis-Associated Immune-Related Genes Regulated by Transcription Factors in Mesothelioma

Author:

Hao Zhiquan123,Wang Siqiao4,Zheng Zixuan4,Li Jiehan3,Fu Wanting3,Han Donglin3,Huang Yinrou3,Lin Qing5,Xian Shuyuan4,Yan Penghui3,Li Man3ORCID,Lin Ruoyi4,Meng Tong6ORCID,Zhang Jie4ORCID,Huang Zongqiang3ORCID

Affiliation:

1. The First Clinical College, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China

2. Institute of Orthopedic Diseases and Department of Bone and Joint Surgery, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, China

3. Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China

4. Tongji University School of Medicine, 1239 Siping Road, Shanghai 200092, China

5. Department of Human Anatomy, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China

6. Division of Spine, Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai 200065, China

Abstract

Mesothelioma (MESO) is a mesothelial originate neoplasm with high morbidity and mortality. Despite advancement in technology, early diagnosis still lacks effectivity and is full of pitfalls. Approaches of cancer diagnosis and therapy utilizing immune biomarkers and transcription factors (TFs) have attracted more and more attention. But the molecular mechanism of these features in MESO bone metastasis has not been thoroughly studied. Utilizing high-throughput genome sequencing data and lists of specific gene subsets, we performed several data mining algorithm. Single-sample Gene Set Enrichment Analysis (ssGSEA) was applied to identify downstream immune cells. Potential pathways involved in MESO bone metastasis were identified using Gene Oncology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Variation Analysis (GSVA), Gene Set Enrichment Analysis (GSEA), and Cox regression analysis. Ultimately, a model to help early diagnosis and to predict prognosis was constructed based on differentially expressed immune-related genes between bone metastatic and nonmetastatic MESO groups. In conclusion, immune-related gene SDC2, regulated by TFs TCF7L1 and POLR3D, had an important role on immune cell function and infiltration, providing novel biomarkers and therapeutic targets for metastatic MESO.

Funder

Henan Medical Science and Technology Research Project

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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