Please use this identifier to cite or link to this item: https://doi.org/10.3390/cancers13112772
Title: Clinicopathological-Associated Regulatory Network of Deregulated circRNAs in Hepatocellular Carcinoma
Authors: Han, Jian 
Thurnherr, Thomas
Chung, Alexander YF 
Goh, Brian KP 
Chow, Pierce KH 
Chan, Chung Yip 
Cheow, Peng Chung 
Lee, Ser Yee 
Lim, Tony KH
Chong, Samuel S 
Ooi, London LPJ 
Lee, Caroline G 
Keywords: Science & Technology
Life Sciences & Biomedicine
Oncology
hepatocellular carcinoma
circular RNA
clinical characteristics
carcinogenesis
competing endogenous RNAs
HEPATITIS-B-VIRUS
CIRCULAR RNAS
MESSENGER-RNA
BREAST-CANCER
NONCODING RNAS
CERNA NETWORK
IDENTIFICATION
PROGNOSIS
ASPM
EXPRESSION
Issue Date: 1-Jun-2021
Publisher: MDPI
Citation: Han, Jian, Thurnherr, Thomas, Chung, Alexander YF, Goh, Brian KP, Chow, Pierce KH, Chan, Chung Yip, Cheow, Peng Chung, Lee, Ser Yee, Lim, Tony KH, Chong, Samuel S, Ooi, London LPJ, Lee, Caroline G (2021-06-01). Clinicopathological-Associated Regulatory Network of Deregulated circRNAs in Hepatocellular Carcinoma. CANCERS 13 (11). ScholarBank@NUS Repository. https://doi.org/10.3390/cancers13112772
Abstract: Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers world-wide. Here, we present a novel strategy to identify key circRNA signatures of clinically relevant co-expressed circRNA‐mRNA networks in pertinent cancer‐pathways that modulate prognosis of HCC patients, by integrating clinic‐pathological features, circRNA and mRNA expression profiles. Through further integration with miRNA expression profiles, clinically relevant competing‐endog-enous‐RNA (ceRNA) networks of circRNA‐miRNA‐mRNAs were constructed. At least five clinically relevant nodal‐circRNAs, co‐expressed with numerous genes, were identified from the circRNA‐mRNA networks. These nodal circRNAs upregulated proliferation (except circRaly) and transformation in cells. The most upregulated nodal‐circRNA, circGPC3, associated with higher-grade tumors and co‐expressed with 33 genes, competes with 11 mRNAs for two shared miRNAs. circGPC3 was experimentally demonstrated to upregulate cell‐cycle and migration/invasion in both transformed and non‐transformed liver cell‐lines. circGPC3 was further shown to act as a sponge of miR‐378a‐3p to regulate APSM (Abnormal spindle‐like microcephaly associated) expression and modulate cell transformation. This study identifies 5 key nodal master circRNAs in a clinically relevant circRNA‐centric network that are significantly associated with poorer prognosis of HCC patients and promotes tumorigenesis in cell‐lines. The identification and characterization of these key circRNAs in clinically relevant circRNA‐mRNA and ceRNA networks may facilitate the design of novel strategies targeting these important regulators for better HCC prognosis.
Source Title: CANCERS
URI: https://scholarbank.nus.edu.sg/handle/10635/226779
ISSN: 20726694
DOI: 10.3390/cancers13112772
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