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Yang R, Du Y, Zhang M, Liu Y, Feng H, Liu R, Yang B, Xiao J, He P, Niu F. Multi-omics analysis reveals interferon-stimulated gene OAS1 as a prognostic and immunological biomarker in pan-cancer. Front Immunol 2023; 14:1249731. [PMID: 37928544 PMCID: PMC10623006 DOI: 10.3389/fimmu.2023.1249731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction OAS1(2'-5'-oligoadenylate synthetase 1) is a member of the Interferon-Stimulated Genes which plays an important role in the antiviral process. In recent years, the role of OAS1 in tumors has attracted attention, and it was found to be associated with prognosis in several tumors. However, the mechanism by which OAS1 affects tumors is unclear and pan-cancer study of OAS1 is necessary to better understand its implication in cancers. Methods The expression, prognostic value, genetic alteration, alternative splicing events of OAS1 in pan-cancers were analyzed using TCGA, GTEx, HPA, GEPIA and OncoSplicing databases. OAS1 associated immune cell infiltration was evaluated using the ESTIMATE, xCell, CIBERSORT and QUANTISEQ algorithm. Single cell transcriptome data download using TISH database. Finally, the roles of the OAS1 on apoptosis, migration and invasion were investigated in two pancreatic cancer cells. Results Our results revealed significant differences in OAS1 expression among various tumors, which had prognostic implications. In addition, we investigated the impact of OAS1 on genomic stability, methylation status, and other factors across different types of cancer, and the effects of these factors on prognosis. Notably, our study also demonstrated that OAS1 overexpression can contribute to CTL dysfunction and macrophage M2 polarization. In addition, cell experiments showed that the knockdown of OAS1 could reduce the invasive ability and increased the apoptosis rate of PAAD cells. Discussion These results confirmed that OAS1 could be a prognostic biomarker and therapeutic target for its potential role in CTL dysfunction and macrophage M2 polarization.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Pengcheng He
- Department of Hematology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Fan Niu
- Department of Hematology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Wang L, Liu W, Liu K, Wang L, Yin X, Bo L, Xu H, Lin S, Feng K, Zhou X, Lin L, Fei M, Zhang C, Ning S, Zhao H. The dynamic dysregulated network identifies stage-specific markers during lung adenocarcinoma malignant progression and metastasis. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 30:633-647. [PMID: 36514354 PMCID: PMC9722404 DOI: 10.1016/j.omtn.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022]
Abstract
Brain metastasis occurs in approximately 30% of patients with lung adenocarcinoma (LUAD) and is closely associated with poor prognosis, recurrence, and death. However, dynamic gene regulation and molecular mechanism driving LUAD progression remain poorly understood. In this study, we performed a comprehensive single-cell transcriptome analysis using data from normal, early stage, advanced stage, and brain metastasis LUAD. Our single-cell-level analysis reveals the cellular composition heterogeneity at different stages during LUAD progression. We identified stage-specific risk genes that could contribute to LUAD progression and metastasis by reprogramming immune-related and metabolic-related functions. We constructed an early advanced metastatic dysregulated network and revealed the dynamic changes in gene regulations during LUAD progression. We identified 6 early advanced (HLA-DRB1, HLA-DQB1, SFTPB, SFTPC, PLA2G1B, and FOLR1), 8 advanced metastasis (RPS15, RPS11, RPL13A, RPS24, HLA-DRB5, LYPLA1, KCNJ15, and PSMA3), and 2 common risk genes in different stages (SFTPD and HLA-DRA) as prognostic markers in LUAD. Particularly, decreased expression of HLA-DRA, HLA-DRB1, HLA-DQB1, and HLA-DRB5 refer poor prognosis in LUAD by controlling antigen processing and presentation and T cell activation. Increased expression of PSMA3 and LYPLA1 refer poor prognosis by reprogramming fatty acid metabolism and RNA catabolic process. Our findings will help further understanding the pathobiology of brain metastases in LUAD.
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Affiliation(s)
- Li Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China,Corresponding author Li Wang, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Wangyang Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Kailai Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lixia Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xiangzhe Yin
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lin Bo
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Haotian Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shihua Lin
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Ke Feng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xinyu Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lin Lin
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Meiting Fei
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Caiyu Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shangwei Ning
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China,Corresponding author Shangwei Ning, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
| | - Hongying Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China,Corresponding author Hongying Zhao, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
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