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Zheng W, Ye W, Wu Z, Huang X, Xu Y, Chen Q, Lin Z, Chen Y, Bai P, Chen C. Identification of potential plasma biomarkers in early-stage nasopharyngeal carcinoma-derived exosomes based on RNA sequencing. Cancer Cell Int 2021; 21:185. [PMID: 33789676 PMCID: PMC8011216 DOI: 10.1186/s12935-021-01881-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/16/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Early diagnosis of nasopharyngeal carcinoma (NPC) is vital to improve the prognosis of these patients. However, early diagnosis of NPC is typically challenging. Therefore, we explored the pathogenetic roles and associated mechanisms of exosomes in plasma of patients with early-stage NPC. METHODS Exosomes in plasma were extracted by ultra-high-speed centrifugation. Western blot and transmission electron microscopy (TEM) were used to verify the purity of exosomes. The sequencing data (6 plasma samples from healthy volunteers vs. 6 NPC plasma samples) were analyzed by principal component analysis (PCA), DESeq2, gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and TargetScan. The differentially expressed miRNAs (DEmiRNAs) were obtained from the dataset (GSE118720) downloaded from the Gene Expression Omnibus (GEO) repository. Additionally, the datasets downloaded from the GEO database (GSE12452, GSE13597, GSE53819, GSE64634) were used to predict the target genes and functions of hsa-miR-1301-3p. qPCR was applied to verify the differences in the expressions of hsa-miR-1301-3p between 10 normal plasma and 10 NPC plasma samples. RESULTS Western blot, TEM, and Nanoparticle Tracking Analysis showed adequate purity of the extracted exosomes. RNA-seq analysis revealed 21 upregulated miRNAs, and 10 downregulated miRNAs in plasma exosomes of early-stage NPC patients. GO analysis showed that the target genes of DEmiRNAs were mainly enriched in DNA synthesis and transcription regulation. KEGG analysis revealed that DEmiRNAs were mainly enriched in PI3K-Akt and MAPK signaling pathways. Moreover, the expression of hsa-mir-1301-3p was verified to be significantly upregulated in enlarged samples of plasma exosomes. CONCLUSIONS We identified several DEmiRNAs extracted from tumor-derived exosomes between normal plasma and early-stage NPC plasma. Bioinformatics analyses indicated that these DEmiRNAs may be related to NPC development. Our study may provide novel insights into underlying biomarkers and mechanisms of plasma exosomes in early-stage NPC.
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Affiliation(s)
- Wei Zheng
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
| | - Wangzhong Ye
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
- Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Zijie Wu
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
- Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Xinyi Huang
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
- Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Yuanji Xu
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
| | - Qinyan Chen
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
- Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Zhizhong Lin
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
| | - Yanyu Chen
- School of Nuclear Science and Technology, University of South China, Hengyang, Hunan, China
| | - Penggang Bai
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China
| | - Chuanben Chen
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, No. 420, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China.
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Radiosensitivity-Related Genes and Clinical Characteristics of Nasopharyngeal Carcinoma. BIOMED RESEARCH INTERNATIONAL 2020; 2020:1705867. [PMID: 33299859 PMCID: PMC7704138 DOI: 10.1155/2020/1705867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 10/05/2020] [Accepted: 10/16/2020] [Indexed: 12/30/2022]
Abstract
Materials and Methods Clinicopathological data of 185 patients with NPC treated at Nanfang Hospital of Southern Medical University between January 2013 and December 2014 were retrospectively analyzed. SPSS statistical software was used to analyze the clinicopathological data related to radiotherapy efficacy. Three patients who achieved complete remission and three with disease progression after CRT were selected. Differentially expressed genes (DEGs) were screened via mRNA microarray analysis of primary diagnostic endoscopy specimens. Results The peripheral blood leukocyte count, platelet count, and EBV-DNA copy number in NPC patients who were resistant to radiotherapy were higher than those in NPC patients who were sensitive to radiotherapy. The RobustRankAggreg (RRA) analysis method identified 392 DEGs, and the 66 most closely related genes among the DEGs were identified from the PPI network. Conclusion The results of this study indicate that screening for DEGs and pathways in NPC using integrated in silico analyses can help identify a series of genetic and clinical signatures for NPC patients treated with neoadjuvant chemotherapy followed by concurrent chemoradiotherapy.
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