Molecular pattern of lncRNAs in hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is one of the most notable lethal malignancies worldwide. However, the molecular mechanisms involved in the initiation and progression of this disease remain poorly understood. Over the past decade, many studies have demonstrated the important regulatory roles of long non-coding RNAs (lncRNAs) in HCC. Here, we comprehensively review recent discoveries regarding HCC-associated lncRNA functions, which we have classified and described according to their mechanism models.
KeywordslncRNA Molecular pattern Regulation of biological processes Hepatocellular carcinoma Well-characterized mechanism
BCL2-associated X protein
calmodulin binding transcription activator 1
casitas B-lineage lymphoma
competing endogenous RNA
Carboxy-Terminus of Hsc70 Interacting Protein
Clock circadian regulator
catenin beta interacting protein 1
RNA Helicase DEAD Box Protein 5
DNA methyltransferase 1
DNA methyltransferase 3
Epidermal growth factor receptor
Epithelial to mesenchymal
Epithelial cell adhesion molecule
Extracellular signal-regulated kinase
Enhancer of zeste homolog 2
Functional intergenic repeating RNA element
Forkhead box A2
Gradually Increased During Hepatocarcinogenesis
GPC3 antisense RNA 1
Glycogen synthase kinase 3 beta
HCC associated long non-coding RNA
Hepatitis B virus
HNF1 homeobox A
HNF1A antisense RNA 1
Hepatocyte nuclear factor 4, alpha
HOX transcript antisense RNA
Hepatocellular Carcinoma Up-regulated Long Non-coding RNA
Intercellular Adhesion Molecule 1
ICAM-1–Related Noncoding RNA
Kruppel-like factor 4
lncRNA downregulated in liver cancer stem cells
long non-coding RNAs
Muscleblind like splicing regulator 3
Mex-3 RNA-binding family member B
MIR22 host gene
- Pol II
RNA polymerase II
Polycomb repressive complex 2
Arginine methyltransferase 5
Phosphatase and tensin homolog
PXN antisense transcript 1
Retinoblastoma gene 1
SH2-containing protein tyrosine phosphatase
SIX homebox 3
Single nucleotide polymorphisms
Sex determining region Y-box 4
Signal transducer and activator of transcription 3
Subunit suppressor of zeste 12 homolog
Transcription factor 7
Tumor suppressor long noncoding RNA on chromosome 8p12
Ubiquitin proteasome system
Ubiquitin specific peptidase 9
Repeat domain 26
Yes-associated protein 1
Y-box binding protein 1
Zinc finger E-box binding homeobox 1/2
According to the World Health Organization (WHO), liver cancer is the sixth most common malignancy worldwide. In 2018, there were approximately 841,000 new liver cancer patients in the world, and approximately 83% occurred in Eastern Asia. The prognosis of liver cancer is very poor, and the mortality rate is high, resulting in approximately 781,000 deaths in 2018, which is the fourth most common cause of cancer deaths (approximately 8.2% of cancer deaths). Hepatocellular carcinoma (HCC) is the primary form of liver cancer, comprising 75–85% of cases . Prognosis is closely related to early diagnosis of the disease. However, HCC has a lengthy subclinical stage, with an insidious initiation and progression that is often difficult to detect. Thus, most HCC patients are diagnosed at an advanced stage, and treatment options at this stage are limited. Moreover, the development of HCC is a multi-step process involving many gene networks and changes in signaling pathways, and many of these pathways remain to be elucidated . It is therefore important to decipher the molecular pathological mechanism of HCC to better assess patient prognosis and identify, or develop, optimal therapies.
According to the biological central dogma, RNAs are considered to be a template for protein translation (mRNAs) and the infrastructure supporting this process (tRNAs and rRNAs) . However, knowledge gained from human genome sequencing has challenged this rule . The number of “genes” estimated by express sequence tag data in the year 2000 ranged from 45,000 to 140,000 . Later, the International Human Genome Sequencing Consortium proposed that the human genome has only 20,000 to 25,000 protein-coding genes . Soon after, the ENCyclopedia Of DNA Elements (ENCODE) project noted that only 2% of the human genome is encoded into protein, though 74.7% of the human genome is transcribed, with no cell line expressing more than 56.7% of this human transcriptome collection . Furthermore, 62% of the human genome encodes long RNA molecules (> 200 nucleotides) . These pervasive studies brought to light the functional importance of this so-called “junk” DNA. Non-coding RNAs (ncRNAs) are not just “transcriptional noise,” as previously thought, which fundamentally changes our interpretation of the genome and transcriptome [9, 10].
The development of high-throughput sequencing technology, such as next generation sequencing, has led to the discovery of a large number of ncRNAs, of which long ncRNAs are the largest, attracting great attention in the past decade. Integrated analysis of RNA-seq data revealed that 68% of human transcripts are lncRNAs with an estimated number of 55,000 to 60,000 . LncRNAs are generally defined as transcripts longer than 200 nucleotides that do not have protein-coding potential; this relatively arbitrary cutoff distinguishes small ncRNAs from lncRNAs. Furthermore, lncRNAs are more similar to mRNAs than to other ncRNAs. First, the genome loci of lncRNA has a similar chromatin state to the mRNA genome loci, from which lncRNAs are transcribed by RNA polymerase II (Pol II) . In addition, like mRNAs, lncRNAs are often polyadenylated, 5′-capped and spliced . Therefore, analysis of whether open reading frames have protein-coding potential is an important means by which to distinguish lncRNAs from mRNAs. Relatively speaking, lncRNAs have lower expression levels, shorter transcripts, poorer sequence conservation and more nuclear enrichment than mRNAs .
There is no standard system for the identification and classification of lncRNA and their functions. This is likely due to the sheer number of lncRNAs, as well as their complex structures. In the past few years, reviews have attempted to classify lncRNAs by various molecular functions, including: (1) lncRNAs are divided into cis-acting lncRNAs and trans-acting lncRNAs by their genomic locus . (2) lncRNAs are distinguished by the biological processes in which lncRNAs are involved [16, 17]. (3) Cancer-associated lncRNA are classified by their effects on cancer phenotype . (4) HCC-associated lncRNAs are separated by their related signaling pathways . In addition, lncRNAs can function via direct interaction with DNA, RNA and protein, making them versatile within biological processes. However, although lncRNAs have been extensively studied in recent years, the role of lncRNAs in the initiation and development of HCC remains to be characterized. Just as with lncRNAs in other fields, the identification and classification of these mysterious molecules in HCC are extremely challenging, ambiguous and full of exceptions. This review aims to classify the molecular mechanisms of HCC-associated lncRNAs comprehensively and clearly by combining lncRNA modes of molecular interaction with their involved biological processes (Additional file 1: Table S1).
Classification of modes of molecular interaction of HCC-associated lncRNAs
Despite the diverse functions of lncRNAs , previous studies have shown that the primary way in which HCC-associated lncRNAs exert their biological roles is via interactions with DNA, RNA and proteins. To facilitate the understanding and categorization of these molecular modes of interaction, rare molecular interaction modes that have been elucidated under other physiological and pathological conditions would be excluded in this paper. The three molecular interactions described here represent the lncRNA molecular mechanisms that have been validated in HCC cell lines or tissues. (1) Sequester: The interactions of lncRNAs with DNA, RNA or proteins cause these molecules to be isolated from the original interacting molecules, thereby preventing the original interaction. (2) Scaffold: LncRNAs interact with various molecules to create linkages for these molecules and facilitate interaction between these molecules. (3) Guide (can be considered as a special case of scaffold): LncRNAs bind to transcription factors or chromatin-modifying complexes, directing these molecules to specific genomic sites to promote or inhibit the transcription of related genes (Additional file 1: Table S1).
HCC-associated lncRNAs participate in various biological processes
The physiological and pathological effects of lncRNAs are achieved primarily through gene expression regulation. Transcription and translation are key phases of these biological processes [15, 16]. In HCC, lncRNAs are involved specifically in epigenetic regulation, transcription factor regulation, post-transcriptional regulation, and protein degradation. In addition, some lncRNAs affect protein modification and protein complex modulation in HCC; however, this classification is often rather subjective, as HCC-associated lncRNAs always regulate protein degradation by affecting protein ubiquitination, which is a type of protein modification [20, 21, 22, 23, 24, 25]. Conversely, some protein modifications of transcription factors are regulated by HCC-associated lncRNAs [26, 27]. Yan et al. suggested that protein complex assembly affected by lncRNAs can influence protein function, thereby regulating the corresponding signaling pathway . Thus, the molecular interaction modes of HCC-associated lncRNAs and the regulation of biological processes are diverse, and many details remain unclear. In this review, we propose a comprehensive, yet simple, method of combining modes of molecular interactions and biological processes to analyze the mechanisms by which lncRNAs exert their effects on HCC risk (Additional file 1: Table S1).
HCC-associated lncRNAs in epigenetic regulation
A suitable chromatin state is crucial for gene expression. The relationship between chromatin state and nucleosome histone modification has been studied extensively. As an epigenetic repressor, polycomb repressive complex 2 (PRC2) can inhibit the transcription of various genes, and accelerate the development of HCC, through histone H3 lysine 27 (H3K27) trimethylation. However, as a trans-acting regulator, the mechanism by which PRC2 interacts with its target genes remains to be characterized .
In fact, a previous study has proposed that the Snail protein can directly recruit PRC2 to epithelial targets . During epithelial to mesenchymal (EMT) in HCC, HOTAIR acts as a scaffold to bridge PRC2 and Snail, which suppresses expression of HNF4a (hepatocyte nuclear factor 4, alpha), HNF1a (HNF1 homeobox A) and E-cadherin by Snail-dependent manner (Fig. 1b). The promoter regions of these genes contain E-box, a consensus Snail-binding sequence. When Snail is knocked down, it can significantly impair the HOTAIR-repressive activity on transcription of these Snail target genes .
HOTAIR has long been considered a risk factor for HCC [43, 44]. Interestingly, though, Zhang et al. found that the expressions of a human cancer stem cell marker, epithelial cell adhesion molecule (EpCAM), and pluripotent genes were increased by knocking down HOTAIR through siRNA transfection, thus making HOTAIR do not function as an oncogene . Further, this research has shown that RNA Helicase DEAD Box Protein 5 (DDX5) is involved in this biologic process. Decreased levels of DDX5 suggests a poor prognosis for HCC patients. DDX5 can bind to HOTAIR and subunit suppressor of zeste 12 homolog (SUZ12), a PRC2 subunit, displacing an E3 ligase, Mex-3 RNA-binding family member B (Mex3b), from HOTAIR to inhibit Mex-3b-mediated SUZ12 degradation (Fig. 5b). DDX5 is thereby involved in the transcription inhibition of EpCAM and other pluripotency genes via the HOTAIR-PRC2 complex. Hepatitis B virus (HBV) infection downregulates DDX5 expression by the HBx protein, resulting in increased expression of the above-mentioned pluripotent genes. Therefore, HOTAIR regulates transcription inhibition and protein degradation simultaneously. Finally, two risk factors of HCC, HOTAIR and HBV infection, jointly promote the development of HCC . Hence, some histone modifications in chromatin-modifying complexes in HCC are not only dependent on lncRNA, and the true mechanisms remain to be elucidated.
In addition to regulating gene transcription by histone methylation and DNA methylation, HCC-associated lncRNAs, including H19 and GPC3 antisense RNA 1 (GPC3-AS1), also alter histone acetylation to influence HCC progression [47, 48]. Notably, lncTCF7 promotes liver CSC self-renewal by guiding the SWItch/Sucrose Non-Fermentable (SWI/SNF) complex to initiate transcription factor 7.
(TCF7) expression . The SWI/SNF complex uses energy produced by ATP hydrolysis to directly mobilize nucleosomes and remodel chromatin, making it a distinctive epigenetic regulator . Coupled with the above-described histone methylation, acetylation and DNA methylation, HCC-associated lncRNAs exhibit diverse capabilities in epigenetic regulation (Figs. 1 and 2). And the molecular interaction modes mentioned in this section are mainly guide and scaffold, further research in this field may help to characterize more mechanisms of lncRNA-based epigenetic regulation in HCC.
HCC-associated lncRNAs in transcription factor regulation
LncRNAs can also prevent transcription factors binding to their target promoters by interaction with them. For example, by comparing the transcriptome of HepG2 cells and HBV transgenic HepG2-4D14 cells, it was found that lnc-HUR1 transcription was enhanced by HBV-encoded HBx. Mechanistically, p53 is detained by lnc-HUR1, resulting in reduced promoter occupancy of the target gene, such as p21 and Bax (BAX). In conclusion, lnc-HUR1 can inhibit p53-promoted transcription of p21 and BCL2-associated X protein (Fig. 3b) . Conversely, HCC-associated lncRNAs can also sequester transcription factors to allow some target gene release from transcription inhibition. For example, a cis-positive feedback loop exists for the tumor suppressor molecules lncRNA-NEF and forkhead box A2 (FOXA2). LncRNA-NEF is mainly distributed in the cytoplasm, while β-catenin binds the FOXA2 promoter region and inhibits FOXA2 transcription in the nucleus. The direct interaction of lncRNA-NEF with β-catenin increases the cytoplasmic abundance of β-catenin. At the same time, Glycogen synthase kinase 3 beta (GSK3β) also binds to, and increases the inhibitory phosphorylation of, β-catenin. Ultimately, lncRNA-NEF reduces nuclear levels of β-catenin, thereby increasing expression of FOXA2, which further promotes its transcription by binding lncRNA-NEF promoter .
Additionally, lncRNAs have been discovered that regulate gene expression by binding directly to the DNA element; that is, without interacting with transcription factors. A typical example of this in HCC is a lncRNA termed lncRNA downregulated in liver cancer stem cells (lnc-DILC). In contrast to lncSox4, down-regulated lnc-DILC in HCC inhibits STAT3 levels and suppresses liver cancer stem cell expansion. Using Basic Local Alignment Search Tool, Wang et al. identified a putative lnc-DILC complementary binding locus in the IL-6 promoter and verified that lnc-DILC inhibits NF-κB-mediated IL-6 transcription (Fig. 3c). Ultimately, lnc-DILC abolishes IL-6/JAK2/STAT3 autocrine signaling, and down-regulated lnc-DILC indicates poorer HCC prognosis . Also, lncCAMTA1 plays a role in liver CSC expansion through similar mechanisms. As a transcript with higher expression levels in HCC and liver CSCs, lncCAMTA1 binds the calmodulin binding transcription activator 1 (CAMTA1) promoter and induces a suppressive chromatin structure, which leads to decreased CAMTA1 transcription. Subsequently reduced expression of CAMTA1 inhibits HCC cell proliferation and liver CSC-like properties . Finally, TNF-α and IL-6 can stimulate expression of LINC000607, which represses NF-κB p65 transcription by binding to the NF-κB p65 promoter region, eventually causing apoptosis due to elevated p53 expression . In brief, HCC-associated lncRNAs can reduce transcription factors-DNA complexes by sequestering one of them, thereby inhibiting the downstream effects (Fig. 3b, c).
HCC-associated lncRNAs in mRNA post-transcriptional regulation
In addition, some HCC-associated lncRNA-mRNA binding sites do not overlap with miRNA putative binding sites, but still affect the stability of the corresponding mRNAs. Hepatocellular Carcinoma Up-regulated Long Non-coding RNA (HULC) and Clock circadian regulator (CLOCK) mRNA 5′-UTR have a complementary base paring region, and the results of luciferase reporter gene assays suggest that HULC can improve the stability of CLOCK mRNA (Fig. 4b). Thereby, HULC disturbs circadian rhythm of HCC and accelerates hepatocarcinogenesis . In contrast, lncARSR has been reported to promote the degradation of Phosphatase and tensin homolog (PTEN) mRNA by lncRNA-mRNA interaction in HCC, though the specific mechanism needs further characterization .
In addition to the above mechanism, to stabilize IL-11 mRNA and subsequently activate IL-11/STAT3 signaling, lncRNA-ATB can also indirectly improve mRNA stability and protein levels through the “miRNA sponge” model. Based on the TargetScan prediction algorithm, lncRNA-ATB was found to have three miR-200 s target binding sites in a short span. And it was confirmed by quantitative real-time PCR that lncRNA-ATB and miR-200 s have approximately 100 and 200 copies per cell in SMMC-7721 cells, respectively. These conditions meet ceRNA mechanism criteria. Finally, it was verified by luciferase reporter gene assays and MS2-RNA immunoprecipitation that lncRNA-ATB sequesters miR-200 s, thereby increasing the expression level of zinc finger E-box binding homeobox 1/2 (ZEB1/2) to induce epithelial-mesenchymal transition (Fig. 4c) . This pattern is the most widely studied molecular mechanism in HCC-associated lncRNAs, revealing the ubiquitous lncRNA-miRNA-mRNA axis in HCC (Additional file 1: Table S1).
The above-mentioned mRNA post-transcriptional regulation has an obvious cellular compartment context. A study of two lncRNAs, lncRNA-UFC1 and MIR22 host gene (MIR22HG), supports the significant impact of subcellular location of some molecules on certain biological processes, especially mRNA post-transcriptional regulation. For instance, HuR (also known as ELAV like RNA binding protein 1) is a mRNA stabilizing protein for which its deregulated nucleus: cytoplasm ratio leads to tumor initiation and progression . Interestingly, the interaction of HuR and Adenylate-uridylate-rich elements in the 3′ UTR can enhance mRNA stability. β-catenin mRNA is one such example . LncRNA-UFC1 acts as an HCC promoter by increasing cytoplasmic HuR levels, which results in more stable β-catenin mRNA . Conversely, MIR22HG, a down-regulated lncRNA in HCC, competitively binds HuR with β-catenin and increases the nuclear fraction of HuR (Fig. 4d). That is to say, MIR22HG reduces β-catenin level by altering subcellular location of its mRNA stabilizing protein HUR . Therefore, in addition to epigenetic modulation and transcription factor regulation, mRNA post-transcriptional regulation is another subcellular, location-dependent lncRNA mode of mechanism of action in HCC.
HCC-associated lncRNAs in protein post-translational regulation and protein complex modulation
HCC-associated lncRNAs regulate protein post-translationally via several molecular patterns. In protein degradation, lncRNAs promote or inhibit ubiquitination of proteins, which subsequently affects ubiquitin–proteasome-mediated protein degradation. LncRNAs can also modify proteins, represented by protein phosphorylation to have varying effects on their functions. Moreover, proteins often bind to each other to form protein complexes, and some HCC-associated lncRNAs transform the composition of subunits in various complexes. In these ways, HCC-associated lncRNAs affect protein post-translationallyand regulate the assembly of multiprotein complex .
There are multiple pathways for protein degradation in humans, which are generally classified into (1) degradation of dietary proteins, (2) degradation of extracellular proteins, and (3) degradation of intracellular proteins. Among them, the ubiquitin proteasome system (UPS) is a highly-specific cellular mode of protein degradation that plays a key role in maintaining protein quality and controlling cellular processes . HCC-associated lncRNAs generally affect protein degradation through UPS, thereby regulating a series of signaling pathways.
In addition to sequestering, HCC-associated lncRNAs can also act as a scaffold to bridge the interaction between E3 ligase and its target protein to promote protein degradation. The DDX5 mentioned above directs the HOTAIR-PRC2 complex to epigenetically inhibit the transcription of specific genes. The human cancer stem cell marker EpCAM and pluripotency genes Nanog homebox, Oct4 (also known as POU class 5 homeobox 1) and Sox2 do not match HOTAIR’s role as an oncogenic factor . Zhang et al. found that in the presence of HBx, the E3 ligase Mex3b had more affinity for the PRC2 subunit SUZ12 and HOTAIR, whereas the interaction between DDX5 and these two molecules was reduced. As a replacement, Mex3b ubiquitinates SUZ12 and induces its degradation (Fig. 5b). HOTAIR acts as a molecular scaffold in both epigenetic regulation and ubiquitination, selectively affects gene expression, and drives HBV-induced liver tumors with HBx . Conversely, HCC-associated lncRNAs can also bind deubiquitinase and target proteins to inhibit proteolysis. For example, one of the pathways that oncogenic lncRNA LNC473 regulates links survivin and deubiquitinase ubiquitin specific peptidase 9 (USP9X) to suppress the ubiquitination level of survivin and increase survivin expression .
Similar to ubiquitination, HCC-associated lncRNAs also regulate protein phosphorylation primarily through two molecular modes of interaction: scaffolding and sequestering. Tumor suppressorlong noncoding RNA on chromosome 8p12 (TSLNC8) regulates phosphorylation of T705 and S727 on STAT3 by a relatively specific manner of sequestration. In short, lncRNAs interact with one of the two molecules, thereby inhibiting the interaction between them. Intriguingly, the right arm of TSLNC8 can be combined with transketolase (TKT) or STAT3 to allow the two molecules to compete with each other. That is, TSLNC8, TKT and STAT3 can combine with each other, but the presence of TSLNC8 reduces the interaction between TKT and STAT3. Eventually, overexpression of TLSNC8 results in a decrease in STAT3 Y705 phosphorylation and an increase in S727 phosphorylation, which can significantly attenuate the oncogenic ability of STAT3 (Fig. 6a) . Unlike TSLNC8, HULC can simultaneously bind Y-box binding protein 1 (YB-1) and extracellular signal-regulated kinase (ERK) to promote phosphorylation of YB-1 by ERK (Fig. 6b). Phosphorylation of YB-1 results in the release of some mRNAs, which ultimately accelerates the translation of these mRNAs. The resulting increase in cyclin D1 and cyclin E1 promotes G1/S transition. This represents another mechanism by which HCC can develop due to HULC action . HCC associated long non-coding RNA (HANR) appears to detain the GSK3B-interacting protein (GSKIP), which hinders GSKIP-mediated GSK-3β phosphorylation. GSK-3β promotes the phosphorylation of β-catenin and causes it to be hydrolyzed by the proteasome pathway. Therefore, HANR is also an HCC oncogenic factor that affects protein phosphorylation [78, 79].
Furthermore, Ding et al. proposed that HNF1A antisense RNA 1 (HNF1A-AS1) modulates the phosphatase activity of SH2-containing protein tyrosine phosphatase-1 (SHP-1) by binding with its C-terminal. Nevertheless, how such interaction enhances the enzymatic activity of SHP-1 remains to be characterized .
Protein complex modulation
Another example is lnc-Tim3-mediated HCC CD8 T lymphocyte exhaustion, which compromises HCC anti-tumor immunity. Briefly, Bat3 can simultaneously bind the C-terminal intracellular domain of Tim-3 (also known as hepatitis A virus cellular receptor 2) and Lck (also known as Src family tyrosine kinase). The formation of this complex activates T cell signaling (ZAP70/AP-1/NFAT1) and suppresses CD8 T cell exhaustion. However, lnc-Tim3 interferes with this process by binding the C-terminal intracellular domain of Tim-3, thereby releasing BAT3 from Tim3. BAT3 is then free to form a complex with p300 and recruit p300 into the nucleus, which exacerbates CD8 T cell exhaustion . A similar phenomenon also occurs in the Wnt/β-catenin signaling pathway regulated by Linc00210 in TIC. The regulation of the Wnt/β-catenin signaling pathway is dependent on the alternative assembling of proteins as subunits in various complexes . Linc00210 binds to catenin beta interacting protein 1 (CTNNBIP1) and impairs the interaction between β-catenin and CTNNBIP1. CTNNBIP1 acts as a Wnt/β-catenin signaling pathway suppressor that can detain and prevent β-catenin from binding to TCF/LEF components. Without β-catenin, TCF/LEF components act as transcription repressors. β-catenin is an activator of TCF/LEF components to release the repressed gene. Through this series of consecutive steps, Linc00210 became an HCC-related oncogene by means of protein complex modulation . In addition, as described above, GSK-3β can inhibit β-catenin by phosphorylation, and the interaction between GSK-3β and Annexin A2 is enhanced by scaffolding of lncRNA-MUF. Eventually, β-catenin escapes inhibition by GSK-3β, and is thus able to accumulate and translocate to nucleus .
Although different in biological processes, HCC-associated lncRNAs regulate protein degradation, protein modification, and protein complexes primarily by affecting interactions between other molecules. In short, HCC-associated lncRNAs affect these biological processes through two molecular interaction modes: sequester and scaffold. However, HCC-associated lncRNAs may not be just a molecular interaction partner, although this assumption requires stronger evidence to support.
Conclusion and perspective
As the largest class of transcripts in humans, lncRNAs can affect almost any realm of cellular biology. In order to fully understand the cellular mechanisms underlying the development of diseases such as HCC, it is necessary to understand lncRNA function. To our knowledge, no comprehensive model yet exists for the classification of HCC-associated lncRNAs. There is a considerable contribution by lncRNAs to the “transcriptional noise” that impacts the central dogma of the “DNA-RNA-protein” axis. Therefore, this review focuses on transcription and translation, classifies lncRNAs according to biological processes, and further subdivides them by their most common modes of molecular interaction in HCC. This newly streamlined classification method provides a more approachable system by which to study and discuss lncRNAs in HCC. We must note, however, there are still exceptional HCC-associated lncRNAs that are not suitable for this classification method, such as MVIH and Dreh [84, 85]. Moreover, some lncRNAs have been characterized to regulate gene expression via other mechanisms under other physiological and pathological conditions. For instance, lncRNA termed functional intergenic repeating RNA element (Firre), that promotes cross-chromosomal interactions as a trans-acting platform in several cell lines , while Colorectal Cancer Associated Transcript 1-L facilitates long-range interactions between MYC promoter and its enhancers in cis in colorectal cancer . And lncRNAs generated from Alu SINE elements can repress the transcription machinery directly by binding to RNA polymerase II (Pol II) during heat shock . Given that lncRNAs comprise 68% of the human transcriptome, future research may reveal new categories or definitions of lncRNAs.
High-throughput sequencing technology, followed by functional studies, have helped to identify and elucidate the role of a large number of lncRNAs in HCC over the past decade. However, the vast majority of lncRNAs still need to be investigated. Given the worldwide impact on morbidity and mortality by HCC, it is important that future research focuses on lncRNAs. In addition, the mechanisms of aberrant gene expression caused by lncRNAs in HCC has been more explicitly studied (Additional file 1: Table S1). Interestingly, it has also been noted that prostate cancer-associated single nucleotide polymorphisms (SNPs) are mainly enriched in regulatory regions, some of which are located in lncRNAs and can affect the their functions . A similar association may exist for HCC, and by integrating genome-wide association studies and transcriptome data, it may be possible to discover and elucidate the mechanisms of some lncRNA-related SNPs. This has been practiced in several studies of various cancers, including HCC [89, 90, 91, 92, 93, 94]. In the near future, research on the role of SNP-mediated HCC-related lncRNAs should be rewarded [95, 96], as this progress may become the key to gaining a greater understanding of the development of HCC.
This study was supported by the General Programs from the National Natural Science Foundation of China (No. 81472618 and 81670535), the National Science and Technology Major Project (No. 2017ZX10202202 and 2018ZX10301202), the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program (No. 2017BT01S131), the Innovative Research Team Project of Guangxi Province (no. 2017GXNSFGA198002), the Grant for Recruited Talents to Start Scientific Research from Nanfang Hospital, and the Distinguished Youth Scholars Incubation Project of Nanfang Hospital (No. 2017 J001) to De-Ke Jiangs.
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There are no known conflicts of interest.
HM wrote the review article. BZ, LL, FY, CC, YJ, JH and DJ reviewed the manuscript. All authors read and approved the final manuscript.
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