Clinical significance of miR-1180-3p in hepatocellular carcinoma: a study based on bioinformatics analysis and RT-qPCR validation

被引:12
|
作者
Zhou, Zihan [1 ,2 ]
Zhou, Xianguo [1 ]
Jiang, Yanji [1 ,2 ]
Qiu, Moqin [1 ,2 ]
Liang, Xiumei [1 ]
Lin, Qiuling [1 ,2 ]
Guo, Qian [3 ]
Nong, Cunli [3 ]
Huo, Rongrui [1 ]
Chen, Qian [1 ]
Liu, Haizhou [1 ]
Liu, Yingchun [1 ]
Zhu, Shaoliang [1 ]
Wang, Mengyun [4 ]
Yu, Hongping [1 ]
机构
[1] Guangxi Med Univ, Canc Hosp, Nanning, Guangxi, Peoples R China
[2] Guangxi Med Univ, Sch Publ Hlth, Nanning, Guangxi, Peoples R China
[3] Liuzhou Workers Hosp, Dept Infect Dis, Liuzhou, Guangxi, Peoples R China
[4] Fudan Univ, Shanghai Canc Ctr, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
OVARIAN-CANCER CELLS; UP-REGULATION; PROLIFERATION; MICRORNAS; IDENTIFICATION; GLYCOLYSIS; BIOMARKERS; PROGNOSIS; SIGNATURE; TUMOR;
D O I
10.1038/s41598-020-68450-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
miRNAs play an indispensable role in human carcinogenesis. Dysregulated miR-1180-3p has been observed in several types of cancer, including hepatocellular carcinoma (HCC). This study intends to correlate the expression level of miR-1180-3p with clinical features and overall survival in HCC patients. The expression and clinical significance of miR-1180-3p, selected from GEO and TCGA databases, were verified using an RT-qPCR method. The target genes of miR-1180-3p were obtained using 3 miRNA target gene prediction databases, and their functions were analyzed using the online tool WebGestalt. miR-1180-3p expression was significantly upregulated in 88 HCC tissues compared with non-tumor liver tissues (0.004 +/- 0.009 vs. 0.002 +/- 0.002, t=-2.099, P=0.038). Additionally, we found that the expression levels of miR-1180-3p were significantly correlated with tumor number (chi(2)=9.157, P=0.006) and MVI (chi(2)=11.354, P=0.003). Based on Kaplan-Meier analysis, patients with high miR-1180 expression had a shorter overall survival than those with low miR-1180-3p expression (P=0.002). Furthermore, multivariate Cox analyses indicated that miR-1180-3p expression was an independent prognostic factor for overall survival (HR=13.36, 95% CI 1.16, 153.69, P=0.038). In addition, a total of 733 target genes of miR-1180-3p were found from three prediction databases. The GO analyses demonstrated that the target genes were closely related to the proliferation and malignancy of tumors. The KEGG analysis showed that target genes were enriched in several key cancer-related signaling pathways, including the Pathways in cancer, the Ras signaling pathway, and the MAPK signaling pathway. In conclusion, we demonstrate that miR-1180-3p is upregulated in HCC and is associated with a poor prognosis. Thus, miR-1180-3p might be useful as a prognostic marker for HCC.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Validation of Reference Genes for RT-qPCR Analysis in Noise-Induced Hearing Loss: A Study in Wistar Rat
    Melgar-Rojas, Pedro
    Carlos Alvarado, Juan
    Fuentes-Santamaria, Veronica
    Cruz Gabaldon-Ull, Maria
    Juiz, Jose M.
    PLOS ONE, 2015, 10 (09):
  • [22] Prognostic Value and Molecular Regulatory Mechanism of MSTO2P in Hepatocellular Carcinoma: A Comprehensive Study Based on Bioinformatics, Clinical Analysis and in vitro Validation
    Yan, Lijun
    Yue, Chaosen
    Xu, Yingchen
    Jiang, Xinceng
    Zhang, Lijun
    Wu, Jixiang
    ONCOTARGETS AND THERAPY, 2020, 13 : 2583 - 2598
  • [23] Analytical and clinical validation of 3′ RACE RT-qPCR assay for detection and quantification of hepatitis B virus (HBV) serum RNA
    Vachon, Alicia
    Giles, Elizabeth
    Patel, Nishi
    Presbitero, Alexandra
    Zahoor, Muhammad Atif
    Coffin, Carla S.
    Feld, Jordan J.
    Cooper, Curtis L.
    Osiowy, Carla
    JOURNAL OF CLINICAL VIROLOGY PLUS, 2022, 2 (04):
  • [24] Selection of reference genes for RT-qPCR analysis in tumor tissues from male hepatocellular carcinoma patients with hepatitis B infection and cirrhosis
    Liu, Shuang
    Zhu, Pengfei
    Zhang, Ling
    Ding, Shanlong
    Zheng, Sujun
    Wang, Yang
    Lu, Fengmin
    CANCER BIOMARKERS, 2013, 13 (05) : 345 - 349
  • [25] Diagnostic significance and potential function of miR-338-5p in hepatocellular carcinoma: A bioinformatics study with microarray and RNA sequencing data
    Liang, Liang
    Gao, Li
    Zou, Xiao-Ping
    Huang, Meng-Lan
    Chen, Gang
    Li, Jian-Jun
    Cai, Xiao-Yong
    MOLECULAR MEDICINE REPORTS, 2018, 17 (02) : 2297 - 2312
  • [26] Identification of miR-101-3p targets and functional features based on bioinformatics, meta-analysis and experimental verification in hepatocellular carcinoma
    Li, Chun-Yao
    Pang, Yu-Yan
    Yang, Hong
    Li, Jia
    Lu, Hai-Xia
    Wang, Han-Lin
    Mo, Wei-Jia
    Huang, Lan-Shan
    Feng, Zhen-Bo
    Chen, Gang
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2017, 9 (05): : 2088 - 2105
  • [27] A comprehensive insight into the clinicopathologic significance of miR-144-3p in hepatocellular carcinoma
    Liang, Hai-wei
    Ye, Zhi-hua
    Yin, Shu-ya
    Mo, Wei-jia
    Wang, Han-lin
    Zhao, Jin-che
    Liang, Guo-mei
    Feng, Zhen-bo
    Chen, Gang
    Luo, Dian-zhong
    ONCOTARGETS AND THERAPY, 2017, 10 : 3405 - 3419
  • [28] Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma
    Wang, Xiaofei
    Qiao, Jie
    Wang, Rongqi
    BIOSCIENCE REPORTS, 2020, 40
  • [29] Potential targets and clinical value of miR-490-5p in hepatocellular carcinoma: a study based on TCGA, qRT-PCR and bioinformatics analyses
    Yang, Hong
    Zhang, Lu
    Wang, Xiao-Dong
    Huang, Meng-Lan
    Lin, Peng
    Pang, Yu-Yan
    Feng, Zhen-Bo
    Chen, Gang
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY, 2018, 11 (03): : 1123 - 1134
  • [30] Clinical significance and biological function of transcriptional repressor GATA binding 1 in gastric cancer: a study based on data mining, RT-qPCR, immunochemistry, and vitro experiment
    Wu, Hong
    Huang, Zhiguang
    Huang, Menglan
    Dang, Yiwu
    Lu, Huiping
    Qin, Xingan
    Liang, Liang
    Yang, Lihua
    Ma, Jie
    Chen, Gang
    Lv, Zili
    CELL CYCLE, 2020, 19 (21) : 2866 - 2885