Profiling, clinicopathological correlation and functional validation of specific long non-coding RNAs for hepatocellular carcinoma

Molecular Cancer

Letter to the Editor

Qiangfeng Wang¹  Fusheng Wu²  Huanxia Yang³  Lingjiao Wu⁴  Shujun Ni⁴  Qingyi Cao⁴  Lanjuan Li⁴  Xiaohua Meng⁴  Jian Yao⁴  Mingding Li⁴  Jiawei Zhou⁴  Qiong Zhang⁴  Kunkai Su⁴  Li Shao⁴ 

[1] Department of Medical Oncology, Cancer Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, 310003, Hangzhou, China;Department of Surgical Oncology, the First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79, Qingchun Rd, 310003, Hangzhou, China;Department of Ultrasonography, The Women’s Hospital, School of Medicine, Zhejiang University, 310006, Hangzhou, China;State Key Laboratory for Dianosis and Treatment of Infectious Diseases, Collaborate Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, 310003, Hangzhou, China;

关键词: Hepatocellular carcinoma;    Long non-coding RNA;    RNA sequencing;    Co-expression network;    Cell migration;   

DOI  :  10.1186/s12943-017-0733-5

 received in 2017-05-08, accepted in 2017-10-13,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundHepatocellular carcinoma (HCC) is one of the most prevalent and aggressive malignancies worldwide. Studies seeking to advance the overall understanding of lncRNA profiling in HCC remain rare.MethodsThe transcriptomic profiling of 12 HCC tissues and paired adjacent normal tissues was determined using high-throughput RNA sequencing. Fifty differentially expressed mRNAs (DEGs) and lncRNAs (DELs) were validated in 21 paired HCC tissues via quantitative real-time PCR. The correlation between the expression of DELs and various clinicopathological characteristics was analyzed using Student’s t-test or linear regression. Co-expression networks between DEGs and DELs were constructed through Pearson correlation co-efficient and enrichment analysis. Validation of DELs’ functions including proliferation and migration was performed via loss-of-function RNAi assays.ResultsIn this study, we identified 439 DEGs and 214 DELs, respectively, in HCC. Furthermore, we revealed that multiple DELs, including NONHSAT003823, NONHSAT056213, NONHSAT015386 and especially NONHSAT122051, were remarkably correlated with tumor cell differentiation, portal vein tumor thrombosis, and serum or tissue alpha fetoprotein levels. In addition, the co-expression network analysis between DEGs and DELs showed that DELs were involved with metabolic, cell cycle, chemical carcinogenesis, and complement and coagulation cascade-related pathways. The silencing of the endogenous level of NONHSAT122051 or NONHSAT003826 could significantly attenuate the mobility of both SK-HEP-1 and SMMC-7721 HCC cells.ConclusionThese findings not only add knowledge to the understanding of genome-wide transcriptional evaluation of HCC but also provide promising targets for the future diagnosis and treatment of HCC.

【 授权许可】

CC BY   
© The Author(s). 2017