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Pan G, Ma Y, Suo J, Li W, Zhang Y, Qin S, Jiao Y, Zhang S, Li S, Kong Y, Du Y, Gao S, Wang D. Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics. Onco Targets Ther 2020; 13:7199-7211. [PMID: 32801750 PMCID: PMC7394602 DOI: 10.2147/ott.s245663] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 06/19/2020] [Indexed: 12/19/2022] Open
Abstract
Background and Objective Metabolomics has recently been applied in the field of oncology. In this study, we aimed to use metabolomics to explore biomarkers in peritoneal metastasis of gastric cancer. Methods Peritoneal lavage fluid (PLF) of 65 gastric cancer patients and related clinical data were collected from the First Hospital of Jilin University. The metabolic components were identified by liquid chromatography-mass spectrometry (LC-MS). Total ion current (TIC) spectra, principal component analysis (PCA), and the Student's t-test were used to identify differential metabolites in PLF. A support vector machine (SVM) was used to screen the differential metabolites in PLF with a weight of 100%. Cluster analysis was used to evaluate the similarity between samples. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic ability of the metabolites. Univariate and multivariate logistic regression analyses were used to identify potential risk factors for peritoneal metastasis of gastric cancer. Results We found the differential levels of PLF metabolites by LC-MS, TIC spectra, PCA and the t-test. Cluster analysis showed the co-occurrence of metabolites in the peritoneal metastasis group (p<0.05). ROC analysis showed the diagnostic ability of metabolites (p<0.05). Univariate and multivariate logistic regression analyses showed the potential independent risk factors for peritoneal metastasis in gastric cancer patients (p<0.05). Conclusion Through the statistical analysis of metabolomics, we found that TG (54:2), G3P, α-aminobutyric acid, α-CEHC, dodecanol, glutamyl alanine, 3-methylalanine, sulfite, CL (63:4), PE-NMe (40:5), TG (53:4), retinol, 3-hydroxysterol, tetradecanoic acid, MG (21:0/0:0/0:0), tridecanoic acid, myristate glycine and octacosanoic acid may be biomarkers for peritoneal metastasis of gastric cancer.
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Affiliation(s)
- Guoqiang Pan
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Yuehan Ma
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Jian Suo
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Wei Li
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Yang Zhang
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Shanshan Qin
- Department of Radiology, Affiliated Hospital of Qingdao, Qingdao 266000, People's Republic of China
| | - Yan Jiao
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Shaopeng Zhang
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Shuang Li
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Yuan Kong
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Yu Du
- Department of First Operation Room, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Shengnan Gao
- Department of First Operation Room, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
| | - Daguang Wang
- Department of Gastrointestinal Surgery, First Hospital of Jilin University, Changchun, Jilin Province 130000, People's Republic of China
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Sui C, Liu D, Hu Y, Zhang L. MicroRNA-708-5p affects proliferation and invasion of osteosarcoma cells by targeting URGCP. Exp Ther Med 2019; 17:2235-2241. [PMID: 30783484 PMCID: PMC6364217 DOI: 10.3892/etm.2019.7171] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 11/26/2018] [Indexed: 01/04/2023] Open
Abstract
Osteosarcoma is an aggressive cancer of the skeletal system which remains a challenge for the current therapeutic strategies due to unclear etiology and molecular mechanisms of pathogenesis. The current study aimed to determine the expression levels, role and molecular mechanism of microRNA-708-5p (miR-708-5p) in the development of osteosarcoma. The expression level of miR-708-5p was detected using reverse transcription-quantitative polymerase chain reaction. miR-708-5p was overexpressed in SaOS-2 cells using miR-708-5p mimics. Cell viability, apoptosis, migration and invasion were determined using Cell Counting kit-8 assay, flow cytometry, wound healing and transwell assays, respectively. The results indicated that miR-708-5p was significantly downregulated in osteosarcoma tissues and cells, and its overexpression significantly inhibited cell viability, invasion and migration and induced apoptosis of SaOS-2 cells. Furthermore, the present results indicated that miR-708-5p directly targeted the 3'-untranslated region of up-regulator of cell proliferation (URGCP) and negatively regulated its expression in SaOS-2 cells. Taken together, the current study suggested that miR-708-5p may inhibit the growth and invasion of osteosarcoma cells via regulating the URGCP/NF-κB signaling pathway. Further research on these molecules in osteosarcoma may provide novel insights into the target therapy for this disease.
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Affiliation(s)
- Cong Sui
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230032, P.R. China
| | - Debao Liu
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230032, P.R. China
| | - Yong Hu
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230032, P.R. China
| | - Linlin Zhang
- Department of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui 230001, P.R. China
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Du H, Shi J, Wang M, An S, Guo X, Wang Z. Analyses of gene expression profiles in the rat dorsal horn of the spinal cord using RNA sequencing in chronic constriction injury rats. J Neuroinflammation 2018; 15:280. [PMID: 30253787 PMCID: PMC6156955 DOI: 10.1186/s12974-018-1316-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 09/18/2018] [Indexed: 12/29/2022] Open
Abstract
Background Neuropathic pain is caused by damage to the nervous system, resulting in aberrant pain, which is associated with gene expression changes in the sensory pathway. However, the molecular mechanisms are not fully understood. Methods Wistar rats were employed for the establishment of the chronic constriction injury (CCI) models. Using the Illumina HiSeq 4000 platform, we examined differentially expressed genes (DEGs) in the rat dorsal horn by RNA sequencing (RNA-seq) between CCI and control groups. Then, enrichment analyses were performed for these DEGs using Gene Ontology (GO) function, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, Hierarchical Cluster, and protein-protein interaction (PPI) network. Results A total of 63 DEGs were found significantly changed with 56 upregulated (e.g., Cxcl13, C1qc, Fcgr3a) and 7 downregulated (e.g., Dusp1) at 14 days after CCI. Quantitative reverse-transcribed PCR (qRT-PCR) verified changes in 13 randomly selected DEGs. GO and KEGG biological pathway analyses showed that the upregulated DEGs were mostly enriched in immune response-related biological processes, as well as 14 immune- and inflammation-related pathways. The downregulated DEGs were enriched in inactivation of mitogen-activated protein kinase (MAPK) activity. PPI network analysis showed that Cd68, C1qc, C1qa, Laptm5, and Fcgr3a were crucial nodes with high connectivity degrees. Most of these genes which have previously been linked to immune and inflammation-related pathways have not been reported in neuropathic pain (e.g., Laptm5, Fcgr3a). Conclusions Our results revealed that immune and defense pathways may contribute to the generation of neuropathic pain after CCI. These mRNAs may represent new therapeutic targets for the treatment of neuropathic pain. Electronic supplementary material The online version of this article (10.1186/s12974-018-1316-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hui Du
- Department of Histology and Embryology, Taishan Medical University, Taian, 271000, China
| | - Juan Shi
- Department of Human Anatomy, Taishan Medical University, Taian, 271000, China
| | - Ming Wang
- Department of Human Anatomy, Taishan Medical University, Taian, 271000, China
| | - Shuhong An
- Department of Human Anatomy, Taishan Medical University, Taian, 271000, China
| | - Xingjing Guo
- Department of Physiology, Taishan Medical University, Taian, 271000, China
| | - Zhaojin Wang
- Department of Human Anatomy, Taishan Medical University, Taian, 271000, China.
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