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Your search keyword '"An, Jingjing"' showing total 3 results
3 results on '"An, Jingjing"'

1. Long Noncoding RNA NR2F1-AS1 Enhances the Migration and Invasion of Hepatocellular Carcinoma via Modulating miR-642a/DEK Pathway.

Author

Xu, Yingxia, Han, Chunrong, Sun, Jing, Zhao, Jingjing, Liu, Qing, and An, Ping

Subjects
LINCRNA, HEPATOCELLULAR carcinoma, CELL migration, PROGNOSIS, WESTERN immunoblotting, DEATH rate
Abstract

Purpose. Hepatocellular carcinoma (HCC), a malignant tumor that exists worldwide, has a high morbidity and mortality rate. Previous studies have reported that lncRNA NR2F1-AS1 plays a critical role in several cancers. Here, we aimed to investigate the biological function of NR2F1-AS1 and its molecular mechanism in the migration and invasion of HCC. Methods. Quantitative real-time PCR (qRT-PCR) was performed to analyze NR2F1-AS1 expression in HCC. The biological function was investigated by transwell invasion and migration assays. The protein level was identified by Western blot. In addition, the downstream targets of NR2F1-AS1 and miR-642a were confirmed by luciferase reporter assays. Results. NR2F1-AS1 was significantly upregulated in HCC and associated with the poor prognosis of HCC patients. Biological function experiments revealed that the silence of NR2F1-AS1 suppressed cell invasion and migration in HCC. More importantly, NR2F1-AS1 directly interacted with miR-642a and negatively regulated miR-642a. DEK was the target of miR-642a, and NR2F1-AS1 positively regulated DEK expression by suppressing miR-642a. Conclusion. Taken together, it is the first time we discovered the interaction of NR2F1-AS1 with miR-642a in modulating HCC cell invasion and migration. [ABSTRACT FROM AUTHOR]

Published
2021
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2. Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma

Author

Ya Guo, Zhenfeng Deng, Jingjing Zeng, Minhao Peng, Jilong Wang, Banghao Xu, Zongrui Jin, Guolin Wu, and Zhang Wen

Subjects
Male, 0301 basic medicine, Carcinoma, Hepatocellular, Stromal cell, Article Subject, lcsh:Medicine, Biology, computer.software_genre, General Biochemistry, Genetics and Molecular Biology, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Immune system, Text mining, Databases, Genetic, Biomarkers, Tumor, Tumor Microenvironment, Carcinoma, medicine, Humans, Protein Interaction Maps, Gene, Regulation of gene expression, Tumor microenvironment, General Immunology and Microbiology, Database, business.industry, Gene Expression Profiling, Liver Neoplasms, lcsh:R, Computational Biology, General Medicine, Middle Aged, Prognosis, medicine.disease, digestive system diseases, Gene Expression Regulation, Neoplastic, 030104 developmental biology, 030220 oncology & carcinogenesis, Hepatocellular carcinoma, Female, business, computer, Algorithms, Genes, Neoplasm, Research Article
Abstract

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies. Recent studies reveal that tumor microenvironment (TME) components significantly affect HCC growth and progression, particularly the infiltrating stromal and immune cells. Thus, mining of TME-related biomarkers is crucial to improve the survival of patients with HCC. Public access of The Cancer Genome Atlas (TCGA) database allows convenient performance of gene expression-based analysis of big data, which contributes to the exploration of potential association between genes and prognosis of a variety of malignancies, including HCC. The “Estimation of STromal and Immune cells in MAlignant Tumors using Expression data” algorithm renders the quantification of the stromal and immune components in TME possible by calculating the stromal and immune scores. Differentially expressed genes (DEGs) were screened by dividing the HCC cohort of TCGA database into high- and low-score groups according to stromal and immune scores. Further analyses of functional enrichment and protein-protein interaction networks show that the DEGs are mainly involved in immune response, cell adhesion, and extracellular matrix. Finally, seven DEGs have significant association with HCC poor outcomes. These genes contain FABP3, GALNT5, GPR84, ITGB6, MYEOV, PLEKHS1, and STRA6 and may be candidate biomarkers for HCC prognosis.

Published
2019

3. Retinoblastoma Binding Protein 5 Correlates with the Progression in Hepatocellular Carcinoma.

Author

Zhou, Huiling, Bao, Jingjing, Zhu, Xiaowei, Dai, Guihong, Jiang, Xiaoqin, Jiao, Xia, Sheng, Haihui, Huang, Junxing, and Yu, Hong

Subjects
*DOXORUBICIN, *CELL proliferation, *ANTINEOPLASTIC agents, *APOPTOSIS, *CARRIER proteins, *CELL cycle, *CLINICAL drug trials, *GENE expression, *HEPATOCELLULAR carcinoma, *IMMUNOHISTOCHEMISTRY, *METASTASIS, *RETINOBLASTOMA, *TUMOR markers, *WESTERN immunoblotting, *DISEASE progression, *PROGNOSIS
Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignancy tumors with insidious onset, rapid development and metastasis, and poor prognosis. Therefore, it is necessary to understand molecular mechanisms of HCC and identify clinically useful biomarkers for it. This study aimed to investigate the role of retinoblastoma binding protein 5 (RBBP5) in HCC. The expression level of RBBP5 was examined by immunohistochemistry and western blot. The effect of RBBP5 on cell cycle, proliferation, apoptosis, and drug sensitivity was analyzed. RBBP5 was significantly upregulated in HCC tissues and cells. High RBBP5 expression was significantly associated with elevated level of AFP, advanced TNM stage, high Ki-67 expression, larger tumor size, and poor prognosis. Knockdown of RBBP5 significantly inhibited proliferation of HCC cells through cell cycle arrest. In addition, inhibition of RBBP5 increased the sensitivity of HCC cells to doxorubicin. In conclusion, our findings suggest that RBBP5 plays an important role in the progression of HCC and may serve as a novel biomarker and potential therapeutic target for HCC. [ABSTRACT FROM AUTHOR]

Published
2018
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