Diagnosis, prognosis and bioinformatics analysis of lncRNAs in hepatocellular carcinoma

Novel Long Noncoding RNAs, LINC01093 and MYLK-AS1, Serve as Potential Diagnostic and Prognostic Biomarkers or Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most fatal human malignancies worldwide. In this research, we aimed to identify long noncoding RNAs (lncRNAs) as biomarkers for HCC diagnosis and prognosis. lncRNA expression profiles were obtained from Gene Expression Omnibus and The Cancer Genome Atlas databases. The differentially expressed lncRNAs between HCC and adjacent tissues were analyzed with bioinformatic tools. Four lncRNAs with area under the curve of the receiver operating characteristic curve >0.9 were selected from both datasets. Univariate and Kaplan-Meier analyses were performed to obtain LINC01093, MYLK-AS1, and MCM3AP-AS1 as the optimal diagnostic and prognostic biomarkers. Finally, qPCR confirmed that LINC01093 and MYLK-AS1 were significantly differentially expressed in HCC and adjacent normal tissues. In general, we demonstrated that novel lncRNAs, LINC01093 and MYLK-AS1, could be used as potential diagnostic and prognostic biomarkers for HCC.

GBAP1 functions as a tumor promotor in hepatocellular carcinoma via the PI3K/AKT pathway

Hepatocellular carcinoma (HCC) is common worldwide, and novel therapeutic targets and biomarkers are needed to improve outcomes. In this study, bioinformatics analyses combined with in vitro and in vivo assays were used to identify the potential therapeutic targets. Differentially expressed genes (DEG) in HCC were identified by the intersection between The Cancer Genome Atlas and International Cancer Genome Consortium data. The DEGs were evaluated by a gene set enrichment analysis as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. A protein interaction network, univariate Cox regression, and Lasso regression were used to screen out hub genes correlated with survival. Increased expression of the long noncoding RNA GBAP1 in HCC was confirmed in additional datasets and its biological function was evaluated in HCC cell lines and nude mice. Among 121 DEGs, GBAP1 and PRC1 were identified as hub genes with significant prognostic value. Overexpression of GBAP1 in HCC was confirmed in 21 paired clinical tissues and liver cancer or normal cell lines. The inhibition of GBAP1 expression reduced HCC cell proliferation and promoted apoptosis by inactivating the PI3K/AKT pathway in vitro and in vivo. Therefore, GBAP1 has a pro-oncogenic function in HCC and is a candidate prognostic biomarker and therapeutic target.

Long non-coding RNAs as promising biomarkers and therapeutic targets in cervical cancer

Cervical cancer is the second most common cancer in women. The detection of oncopathologies in the early stages of development is a paramount task of modern medicine, which can be solved only by improving modern diagnostic methods. The use of screening for certain tumor markers could complement modern tests such as testing for oncogenic types of human papillomavirus (HPV), cytology, colposcopy with acetic acid and iodine solutions. Such highly informative biomarkers can be long noncoding RNAs (lncRNAs) that are highly specific compared to the mRNA profile and are involved in the regulation of gene expression. LncRNAs are a class of non-coding RNAs molecules that are typically over 200 nucleotides in length. LncRNAs may be involved in the regulation of all major cellular processes, including proliferation and differentiation, metabolism, signaling pathways, and apoptosis. LncRNAs molecules are highly stable due to their small size, which is also their undoubted advantage. The study of individual lncRNAs as regulators of the expression of genes involved in the mechanisms of oncogenesis cervical cancer can be not only of great diagnostic value, but, as a result, of therapeutic significance in cervical cancer patients. This review article will present the characteristics of lncRNAs that allow them to be used as accurate diagnostic and prognostic tools, as well as to consider them as effective therapeutic targets in cervical cancer.

NAPSB as a predictive marker for prognosis and therapy associated with an immuno-hot tumor microenvironment in hepatocellular carcinoma

Background

Napsin B Aspartic Peptidase, Pseudogene (NAPSB) was associated with CD4 + T cell infiltration in pancreatic ductal adenocarcinoma. However, the biological role of NAPSB in hepatocellular carcinoma (HCC) remains to be determined.

Methods

The expression of NAPSB in HCC as well as its clinicopathological association were analyzed using data from several public datasets. qRT-PCR was used to verify the relative expression of NAPSB in patients with HCC using the Zhongnan cohort. Kaplan–Meier analyses, and univariate and multivariate Cox regression were conducted to determine the prognosis value of NAPSB on patients with HCC. Then enrichment analyses were performed to identify the possible biological functions of NAPSB. Subsequently, the immunological characteristics of NAPSB in the HCC tumor microenvironment (TME) were demonstrated comprehensively. The role of NAPSB in predicting hot tumors and its impact on immunotherapy and chemotherapy responses was also analyzed by bioinformatics methods.

Results

NAPSB was downregulated in patients with HCC and high NAPSB expression showed an improved survival outcome. Enrichment analyses showed that NAPSB was related to immune activation. NAPSB was positively correlated with immunomodulators, tumor-infiltrating immune cells, T cell inflamed score and cancer-immunity cycle, and highly expressed in immuno-hot tumors. High expression of NAPSB was sensitive to immunotherapy and chemotherapy, possibly due to its association with pyroptosis, apoptosis and necrosis.

Conclusions

NAPSB was correlated with an immuno-hot and inflamed TME, and tumor cell death. It can be utilized as a promising predictive marker for prognosis and therapy in HCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-022-02475-8.

Long noncoding RNA LINC01419 promotes hepatocellular carcinoma malignancy by mediating miR-485-5p/LSM4 axis

To investigate the effect of long noncoding RNA (LINC01419)/miR-485-5p/LSM4 on the malignant behavior of hepatocellular carcinoma (HCC) cells. The expressions of LINC01419, miR-485-5p, and LSM4 were determined in HCC at the cellular and clinical levels, and cell biological behavior was evaluated. The relationships between LINC01419, miR-485-5p, and LSM4 were predicted and verified. Additionally, the subcellular localization of LINC01419 in HCC cells was analyzed. Finally, an animal experiment was conducted to confirm the effect of LINC01419 silencing on tumor growth. in HCC tissues and cells, LINC01419 and LSM4 were increasingly expressed, but miR-485-5p was decreasingly expressed. LINC01419 negatively regulated miR-485-5p- and miR-485-5p-targeted LSM4. LINC01419 was localized in the cytoplasm of HCC cells. Downregulation of miR-485-5p or upregulation of LSM4 reversed the inhibition of HCC cell malignant behavior by LINC01419 interference. LINC01419 sponges miR-485-5p to upregulate LSM4 expression, thereby facilitating the biological behavior of HCC cells.

Long non-coding RNA LINC01793 as a potential diagnostic biomarker of hepatitis B virus-related hepatocellular carcinoma

BACKGROUND

There is growing evidence that long non-coding RNAs (lncRNAs) play important roles in the progression of hepatocellular carcinoma (HCC) and may serve as diagnostic markers. This study investigates the diagnostic efficiency of the long intergenic non-protein-coding RNA 1793 (LINC01793) in hepatitis B virus (HBV)-related HCC.

METHODS

Bioinformatics methods were used to screen the aberrantly expressed lncRNAs in HCC tissues based on The Cancer Genome Atlas (TCGA). Quantitative reverse transcription polymerase chain reaction was performed to assess the expression of the candidate lncRNAs in tissues, cells and whole blood samples of patients with HBV-related HCC, liver cirrhosis (LC), chronic hepatitis (CHB), and healthy controls. Then, the correlations between LINC01793 and clinical characteristics were analyzed. Finally，the diagnostic value of LINC01793 was explored based on the receiver operating characteristic curve.

RESULTS

LINC01793 was remarkably upregulated in the HCC tissues and cells. It was highly expressed in the whole blood of the HBV-related HCC patients, unlike in that of the healthy controls and of the CHB and LC patients. Subsequent analysis revealed that high LINC01793 was related to the Barcelona Clinic Liver Cancer (P = 0.007), tumor invasion (P = 0.042), the number of tumors (P = 0.031) and serum level of alanine aminotransferase(p = 0.022). The areas under the curve of LINC01793, for distinguishing HCC from healthy controls, CHB and LC patients, were 0.824, 0.767 and 0.756, respectively. In addition, the combination of LINC01793 with alpha fetoprotein (AFP) had a stronger diagnostic value than LINC01793 or AFP alone in AFP-negative HCC patients.

CONCLUSION

High expression of LINC01793 is correlated with adverse clinical characteristics and can serve as a non-invasive biomarker of HCC.

CRNDE: A valuable long noncoding RNA for diagnosis and therapy of solid and hematological malignancies

Colorectal neoplasia differentially expressed (CRNDE) is an oncogenic long noncoding RNA (lncRNA). Increased CRNDE expression was initially discovered in colorectal cancer and then in a variety of solid tumors and hematological malignancies. CRNDE participates in multiple biological processes, such as cell proliferation, differentiation, migration, and apoptosis. CRNDE has been shown to modulate target gene expression through multiple mechanisms, including transcriptional regulation, post-transcriptional regulation, and competition for microRNA (miRNA) binding. In this review, we summarize the evidence that supports CRNDE in the diagnosis and prognosis predicting of cancers. The functional roles and molecular mechanisms of CRNDE are further described for major types of solid tumors and hematological malignancies. The therapeutic potential of CRNDE as a target for research and development is also discussed.

Identification of a 3-miRNA Signature Associated With the Prediction of Prognosis in Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) is a malignant tumor caused by an infection of the epithelial cells of the nasopharynx, which is highly metastatic and aggressive. Due to the deep anatomical site and atypical early symptoms, the majority of NPC patients are diagnosed at terminal stages. There is growing evidence that microRNAs offer options for early detection, accurate diagnosis, and prediction of malignancy treatment response. Therefore, the purpose of this article was to identify microRNAs that predict the prognosis of patients with NPC by integrating biological information analysis. In this study, we utilized the GSE36682 dataset rooted in the Gene Expression Omnibus (GEO) data bank, including 62 cases of NPC tissues and six cases of non-cancerous tissues. The miRNAs were subjected to weighted gene co-expression network analysis, and hub miRNAs were screened for differentially upregulated miRNAs from modules highly correlated with tumor progression. We took a lot of time to calculate the risk scores of miRNA markers for 62 NPC patients, and incidentally combined the clinical survival information of patients to finally identify the three key miRNAs, and then divided the patients into low- and high-risk groups. Kaplan-Meier curve analysis revealed that the overall survival of patients in the high-risk group was obviously shorter than that of the low-risk group. Subsequently, the target genes of the three miRNAs were predicted and analyzed for functional enrichment. In summary, a prognostic predictive risk model based on three miRNA profiles may increase prognostic predictive value and provide reference information for the precise treatment of nasopharyngeal carcinoma.

Long non-coding RNA LINC00511 promotes proliferation, invasion, and migration of non-small cell lung cancer cells by targeting miR-625-5p/GSPT1

Background

Lung cancer is a malignant tumor with a high rate of mortality and metastasis. Recently, extensive research has shown that long non-coding RNAs (lncRNAs) play a crucial role in the development and progression of non-small cell lung cancer (NSCLC). In this paper, we aimed to explore the impact of long intergenic non-coding RNA 00511 (LINC00511) on the development and metastasis of NSCLC.

Methods

A dataset containing 501 lung squamous cell carcinoma (LUSC) samples and 49 normal samples was downloaded from The Cancer Genome Atlas (TCGA). The differential gene expression and prognostic potential of LINC00511 in LUSC were analyzed by “limma” in R software. Samples of tumor tissues and normal tissues from 67 patients with NSCLC were obtained, along with clinical features. NSCLC cell proliferation, cell cycle, migration, and invasion were detected by LINC00511 knockdown with Cell Counting Kit-8 (CCK-8), flow cytometry, wound-healing assay, and Transwell experiment. The regulatory relationship between LINC00511 and microRNA (miR)-625-5p, or between miR-625-5p and G1 to S phase transition 1 (GSPT1), was detected by luciferase reporter gene assay. LINC00511, miR-625-5p, and GSPT1 expression in tumor and normal tissues and cells was determined by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot. A xenograft experiment in nude mice was performed. Ki67 and GSPT1 expression in the tumor tissues of the nude mice was assessed by immunohistochemistry.

Results

LINC00511 expression was clearly higher in the tumor tissues of the NSCLC patients than in normal tissues (P<0.001). High LINC00511 expression was related to larger tumor size, positive lymph node metastasis, advanced TNM stage, and a lower 5-year survival rate. Compared with those of the shNC group, the NSCLC cells of the shLINC00511 group had a prominently lower optical density (OD) 450 value at 72 h, a lower percentage of cells in S phase, a higher relative wound width, and a lower invasive cell number (P<0.01 or P<0.001). LINC00511 promoted GSPT1 expression via suppressing miR-625-5p. Compared with those of the shNC group, the nude mice of the shLINC00511 group had a much lower subcutaneous tumor volume and weight (P<0.05 or P<0.001).

Conclusions

lncRNA LINC00511 promotes proliferation, invasion, and migration of NSCLC cells by targeting miR-625-5p/GSPT. LINC00511 may be a potential diagnostic marker and therapeutic target for NSCLC.

Diagnostic value of RNA for hepatocellular carcinoma: a network meta-analysis

Aim: The aim of this study was to evaluate the capacity of RNA in the diagnosis of hepatocellular carcinoma (HCC). Methods: A systematic review was conducted from PubMed, Cochrane Library, EMBASE and Web of Science databases via well-designed retrieval strategy. Subsequently, the network meta-analysis was performed by the STATA software. Results: Through statistical analysis, the three hypotheses of the network meta-analysis were established. In view of these hypotheses, the diagnostic efficacy of the three markers in HCC (HCC vs healthy people) may be consistent, and the cumulative ranking results showed such a trend: circular RNA >long noncoding RNA >microRNA. Conclusion: Circular RNA may be most effective for diagnosing HCC across the three types of RNA.

LncRNA DNAJC3-AS1 Promotes Hepatocellular Carcinoma (HCC) Progression via Sponging Premature miR-27b

Purpose

Long non-coding RNA (lncRNA) DNAJC3 antisense RNA 1 (head to head) (DNAJC3-AS1) plays a key role in the progression of several cancers. However, its biological role in hepatocellular carcinoma (HCC) is still unclear. We aimed to investigate the role of DNAJC3-AS1 in the development of HCC and reveal the potential mechanisms.

Materials and Methods

Expression analysis of DNAJC3-AS1 and microRNA-27b (miR-27b) at both mature and premature levels was determined by RT-qPCR. HCC patients were followed up for 5 years to analyze the prognostic value of DNAJC3-AS1 for HCC. The direct interaction between DNAJC3-AS1 and premature miR-27b was analyzed with RNA pull-down assay. Subcellular analysis of DNAJC3-AS1 was explored by subcellular fractionation assay. DNAJC3-AS1 overexpression and knockdown were carried out to analyze the role of DNAJC3-AS1 in miR-27b maturation. Cell proliferation was analyzed by BrdU assay.

Results

DNAJC3-AS1 was overexpressed in HCC and predicts the poor survival. MiR-27b was downregulated at mature miRNA level, but upregulated at premature level. DNAJC3-AS1 directly interacted with premature miR-27b and was localized to both nuclear and cytoplasm. DNAJC3-AS1 overexpression upregulated premature miR-27b and downregulated mature miR-27b, while DNAJC3-AS1 knockdown led to the opposite results. DNAJC3-AS1 suppressed the role of miR-27b in inhibiting cell proliferation.

Conclusion

DNAJC3-AS1 promotes HCC by sponging premature miR-27b and might be a biomarker and therapeutic target for HCC.

CRNDE-h transcript/miR-136-5p axis regulates interleukin enhancer binding factor 2 expression to promote hepatocellular carcinoma cell proliferation

AIMS

Hepatocellular carcinoma (HCC) is a primary malignancy of the hepatocyte. Interleukin enhancer binding factor 2 (ILF2) plays a role in the development of HCC. However, the regulatory mechanisms of ILF2 expression in HCC remain unclear. In this study, we aimed to identify ILF2-targeting microRNAs (miRNAs) and to explore how they affect ILF2 expression in HCC.

MAIN METHODS

The tissue specimens were collected from 25 HCC patients. The underlying regulatory mechanism of ILF2 expression in HCC progression was determined using luciferase reporter assay, quantitative real-time PCR, Western blotting, and BrdU incorporation assay.

KEY FINDINGS

Of predicted miRNA candidates (miR-122-5p, miR-425-5p, miR-136-5p, miR-7-5p, miR-421 and miR-543), a statistically significant inverse correlation by linear correlation analysis was observed between miR-136-5p and ILF2 mRNA expressions in patients with HCC (r = -0.627, P < 0.001). Further analysis demonstrated that ILF2 was directly regulated by miR-136-5p. In addition, we showed that long noncoding RNA colorectal neoplasia differentially expressed-h (lncRNA CRNDE-h) transcript expression was significantly up-regulated in HCC, and a miR-136-5p binding site was newly found in the lncRNA CRNDE-h transcript sequence using IntaRNA tool. In terms of mechanism, highly-expressed lncRNA CRNDE-h transcript can sponge miR-136-5p, thereby preventing it from interacting with target ILF2 mRNA while promoting the proliferation of HCC cells.

SIGNIFICANCE

The lncRNA CRNDE-h/miR-136-5p/ILF2 axis plays a significant regulatory role in HCC progression, which may partly explain the pathogenic mechanisms of HCC and may provide promising potential targets for the diagnosis, treatment, and prognosis of HCC.

Peripheral Blood Genetic Biomarkers for the Early Diagnosis of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and has high mortality. Biomarkers related to HCC, such as alpha-fetoprotein, and imaging technology, such as ultrasound and computed tomography, have been used to screen and monitor HCC, but HCC is still difficult to diagnose effectively in the early stage due to the low sensitivity of the above mentioned traditional methods. There is an urgent need for noninvasive biomarkers to facilitate the screening and early diagnosis of HCC. With the advancement of next-generation sequencing, genetic biomarkers are becoming the core of cancer diagnosis. Genetic biomarkers such as peripheral blood circulating tumor DNA, microRNAs, long noncoding RNAs, circular RNAs, and exosomes have become the focus of early HCC diagnostics. HCC genetic biomarkers have been implemented in clinical practice. In this review, we describe the available literature on peripheral blood genetic biomarkers in the diagnosis of early HCC.

RNA sequencing of plasma exosomes revealed novel functional long noncoding RNAs in hepatocellular carcinoma

Exosomal long noncoding RNA (lncRNA) has been found to be associated with the development of cancers. However, the expression characteristics and the biological roles of exosomal lncRNAs in hepatocellular carcinoma (HCC) remain unknown. Here, by RNA sequencing, we found 9440 mRNAs and 8572 lncRNAs were differentially expressed (DE-) in plasma exosomes between HCC patients and healthy controls. Exosomal DE-lncRNAs displayed higher expression levels and tissue specificity, lower expression variability and splicing efficiency than DE-mRNAs. Six candidate DE-lncRNAs (fold change 6 or more, P ≤ .01) were high in HCC cells and cell exosomes. The knockdown of these candidate DE-lncRNAs significantly affected the migration, proliferation, and apoptosis in HCC cells. In particular, a novel DE-lncRNA, RP11-85G21.1 (lnc85), promoted HCC cellular proliferation and migration by targeted binding and regulating of miR-324-5p. More importantly, the level of serum lnc85 was highly expressed in both Alpha-fetoprotein (AFP)-positive and AFP-negative HCC patients and allowed distinguishing AFP-negative HCC from healthy control and liver cirrhosis (area under the receiver operating characteristic curve, 0.869; sensitivity, 80.0%; specificity, 76.5%) with high accuracy. Our finding offers a new insight into the association between the dysregulation of exosomal lncRNA and HCC, suggesting that lnc85 could be a potential biomarker of HCC.

LINC01419 promotes cell proliferation and metastasis in hepatocellular carcinoma by enhancing NDRG1 promoter activity

PURPOSE

Emerging evidence indicates that dysfunction of long non-coding RNAs (lncRNAs) plays an essential role in the initiation and progression of hepatocellular carcinoma (HCC). In this study we investigated the potential roles and molecular mechanisms involving LINC01419 in HCC.

METHODS

The expression of LINC01419 in 40 pairs of HCC/normal tissues and 6 HCC cell lines was detected by qRT-PCR. MTS, EdU, colony formation, scratch wound-healing and transwell assays were performed to assess the role of LINC01419 in HCC cell (SMMC7721 and SK-Hep1) proliferation, migration and invasion in vitro. Artificial modulation of LINC01419 (up- and downregulation) was performed to explore the role of LINC01419 in tumor growth and metastasis in vivo. Interaction of LINC01419 with NDRG1 was assessed using qRT-PCR, RNA sequencing, Western blotting and immunohistochemistry. Physical interaction of LINC01419 with the NDRG1 promoter was assessed using a dual-luciferase reporter assay.

RESULTS

We observed LINC01419 overexpression in primary HCC tissues and HCC cell lines and that this overexpression positively correlated with large tumor size, increased vascular invasion and advanced TNM stage in 40 HCC patients. Exogenous LINC01419 expression significantly promoted HCC cell proliferation, migration and invasion in vitro, as well as tumorigenesis and metastasis in vivo. Conversely, we found that LINC01419 expression knockdown elicited opposite effects. Mechanistic investigations revealed that LINC01419 exerted its biological effects by regulating NDRG1. A dual-luciferase reporter assay revealed that LINC01419 interacts with a specific region within the NDRG1 promoter, resulting in its activation.

CONCLUSIONS

From our data we conclude that LINC01419 acts clinically, functionally and mechanistically oncogenic in HCC. LINC01419 may, therefore, serve as a promising prognostic indicator and therapeutic target for HCC.

circRNA hsa_circ_104566 Sponged miR-338-3p to Promote Hepatocellular Carcinoma Progression

Circular RNAs (circRNAs) could sponge micro-RNAs (miRNAs) to regulate tumor progression of hepatocellular carcinoma (HCC). Hsa_circ_104566 contributes to papillary thyroid carcinoma progression. However, the tumorigenic mechanism of hsa_circ_104566 on HCC remains enigmatic. The role of hsa_circ_104566 on HCC was therefore evaluated in this study. First, the high expression of hsa_circ_104566 was found in HCC tissues, which was significantly associated with poor prognosis in HCC patients. Second, Hsa_circ_104566 promoted HCC progression by decreasing apoptosis and E-cadherin, while increasing cell viability, proliferation, migration, invasion, and N-cadherin. On the other hand, HCC progression was suppressed by knockdown of hsa_circ_104566. Hsa_circ_104566 could target miR-338-3p, and its expression was negatively correlated with miR-338-3p in HCC patients. Moreover, miR-338-3p suppressed protein expression of Forkhead box protein 1 (FOXP1) and had a negative correlation with FOXP1 in HCC patients. Functional assay further indicated that the promotion of HCC progression by hsa_circ_104566 was reversed by miR-338-3p, and miR-338-3p inhibitor could counteract the effect of hsa_circ_104566 knockdown on the suppression of HCC progression. In vivo assay indicated that hsa_circ_104566 knockdown suppressed HCC tumor growth and metastasis. In conclusion, hsa_circ_104566 sponged miR-338-3p to promote HCC progression, providing a potential therapeutic target for cancer intervention.

Integrated bioinformatics analysis reveals role of the LINC01093/miR-96-5p/ZFAND5/NF-κB signaling axis in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a significant health burden worldwide and its pathogenesis remains to be fully elucidated. One of the means by which long non-coding (lnc)RNAs regulate gene expression is by interacting with micro (mi)RNAs and acting as competing endogenous (ce)RNAs. lncRNAs have important roles in various diseases. The aim of the present study was to examine the potential roles of lncRNAs in HCC. The RNA expression profiles of 21 paired tissues of HCC and adjacent non-tumor tissues were obtained from the Gene Expression Omnibus database. The differentially expressed RNAs were analyzed using the DESeq package in R. Expression validation and survival analysis of selected RNAs were performed using Gene Expression Profile Interactive Analysis and/or Kaplan-Meier Plotter. The target genes of the miRNAs were predicted using lncBase or TargetScan. Functional analyses were performed using the Database for Annotation, Visualization and Integrated Discovery, and regulatory networks were determined using Cytoscape. Long intergenic non-protein coding RNA 1093 (LINC01093) was identified as one of the most significantly downregulated lncRNAs in HCC tissues. Downregulated expression of LINC01093 was associated with poor prognosis. A ceRNA network involving LINC01093, miR-96-5p and zinc finger AN1-type containing 5 (ZFAND5) was established. According to functional analyses, NF-κB signaling was implicated in the regulatory network for HCC. The present study revealed that a LINC01093/miR-96-5p/ZFAND5/NF-κB signaling axis may have an important role in the pathogenesis of HCC, and further investigation of this axis may provide novel insight into the development and progression of HCC.

Downregulation of long noncoding RNA LINC01419 inhibits cell migration, invasion, and tumor growth and promotes autophagy via inactivation of the PI3K/Akt1/mTOR pathway in gastric cancer

Background:

Accumulating evidence has highlighted the crucial role of long noncoding RNAs (lncRNAs) in the tumorigenesis of gastric cancer (GC), which is the most common gastrointestinal malignancy. The present study aimed to identify the capacity of lncRNA LINC01419 (LINC01419) in GC progression, with the potential mechanism explored.

Methods:

Highly expressed lncRNAs were identified by in silico analysis, with the LINC01419 expression in GC tissues measured using reverse transcription-quantitative PCR (RT-qPCR). The GC cells were subsequently transfected with siRNA against LINC01419 or Rapamycin (the inhibitor of the mTOR pathway), or both, in order to measure cell migration and invasion in vitro as well as tumor growth and metastasis in vivo. Moreover, the expression of PI3K/Akt1/mTOR pathway-associated factors was determined.

Results:

LINC01419, highly expressed in GC samples of the Gene Expression Omnibus database, was observed to be markedly upregulated in GC tissues. Moreover, LINC01419 silencing, or PI3K/Akt1/mTOR pathway inhibition, exhibited an inhibitory role in GC cell migration and invasion in vitro, coupled with promoted cell autophagy in vitro, and inhibited tumor growth and metastasis in vivo. It was also revealed that LINC01419 silencing blocked the PI3K/Akt1/mTOR pathway, as proved by decreased extents of Akt1 and mTOR phosphorylation.

Conclusions:

In conclusion, LINC01419 inhibition may suppress GC cell invasion and migration, and promote autophagy via inhibition of the PI3K/Akt1/mTOR pathway. This provides significant theoretical basis and possibilities for further elucidation of the molecular mechanism of GC and finding new molecular-targeted therapeutic regimens.

A novel seven‑miRNA prognostic model to predict overall survival in head and neck squamous cell carcinoma patients

Head and neck squamous cell carcinoma (HNSCC) is highly prevalent worldwide, and the outcome of HNSCC is still difficult to predict due to the lack of appropriate prognostic markers. In the present study, a prognostic model based on a miRNA panel was established to better predict the survival of HNSCC patients. miRNA expression data and clinical information regarding HNSCC patients were acquired from The Cancer Genome Atlas (TCGA) database. Accompanying clinical data was obtained from the University of California, Santa Cruz (UCSC) Xena browser. Using this data, 140 differentially expressed miRNAs (DEMs) were identified between HNSCC tissue samples (n=525) and adjacent normal tissue samples (n=44). The present prognostic model included seven miRNAs (i.e. hsa‑miR‑499a, hsa‑miR‑548k, hsa‑miR‑3619, hsa‑miR‑99a, hsa‑miR‑137, hsa‑miR‑3170, and hsa‑miR‑654), which were identified using least absolute shrinkage and selection operator (LASSO) and Cox regression analyses. The independence of the predictive power of this model was validated by further analyses using clinical information. The outstanding performance of the seven‑miRNA prognostic model was confirmed by time‑dependent receiver operating characteristic curve (ROC) analysis. These results indicated that combining the miRNA panel with pathological characteristics may provide a more accurate prognosis for HNSCC. Functional identification of the target genes of the focal miRNAs using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were also performed. The present study demonstrated that the novel miRNA panel reported here may be useful in making different prognoses and may improve the clinical management of patients with HNSCC.

Circular RNA circRHOT1 promotes hepatocellular carcinoma progression by initiation of NR2F6 expression

Background

Increasing evidence has revealed a close relationship between non-coding RNAs and cancer progression. Circular RNAs (circRNAs), a recently identified new member of non-coding RNAs, are demonstrated to participate in diverse biological processes, such as development, homeostatic maintenance and pathological responses. The functions of circRNAs in cancer have drawn wide attention recently. Until now, the expression patterns and roles of circRNAs in hepatocellular carcinoma (HCC) have remained largely unknown.

Methods

Bioinformatics method was used to screen differentially expressed novel circRNAs in HCC. Northern blotting, qRT-PCR, in situ hybridization (ISH) and RNA-FISH were utilized to analyzed the expression of circRHOT1 in HCC tisues.CCK8, colony formation, EdU assays were used to analyze proliferation of HCC cells. Transwell assay was utilized to analyze HCC cell migration and invasion. FACS was used for apoptosis analysis. Xenograft experiments were used to analyze tumor growth in vivo. Mass spectrum, RNA pulldown, RIP and EMSA was utilized to test the interaction between circRHOT1 and TIP60. RNA-sequencing method was used to analyze the downstream target gene of circRHOT1.

Results

We identified circRHOT1 (hsa_circRNA_102034) as a conserved and dramatically upregulated circRNA in HCC tissues. HCC patients displaying high circRHOT1 level possessed poor prognosis. Through in vitro and in vivo experiments, we demonstrated circRHOT1 significantly promoted HCC growth and metastasis. Regarding the mechanism, we conducted a RNA pulldown with a biotin-labeled circRHOT1-specific probe and found that circRHOT1 recruited TIP60 to the NR2F6 promoter and initiated NR2F6 transcription. Moreover, NR2F6 knockout inhibited growth, migration and invasion, whereas rescuing NR2F6 in circRHOT1-knockout HCC cells rescued the proliferation and metastasis abilities of HCC cells.

Conclusion

Taken together, circRHOT1 inhibits HCC development and progression via recruiting TIP60 to initiate NR2F6 expression, indicating that circRHOT1 and NR2F6 may be potential biomarkers for HCC prognosis.

Electronic supplementary material

The online version of this article (10.1186/s12943-019-1046-7) contains supplementary material, which is available to authorized users.

LINC01093 Upregulation Protects against Alcoholic Hepatitis through Inhibition of NF-κB Signaling Pathway

The long noncoding RNAs (lncRNAs) have been proven to be involved in the development of alcoholic hepatitis (AH), which has been regarded as a severe form of acute liver injury with a high mortality rate. Through the GEO database, the differentially expressed LINC01093 and intercellular cell adhesion molecule-1 (ICAM-1) were identified in AH. Then, to clarify their specific role and underlying mechanism in AH, we constructed an AH mouse model by using Lieber-Decarli alcoholic feed. It was found that LINC01093 was poorly expressed and ICAM-1 was highly expressed in AH mice. After that, the interactions among LINC01093, ICAM-1, and NF-κB signaling pathway were explored, which verified that LINC01093 could target ICAM-1 and inhibit the NF-κB signaling pathway. Finally, after the hepatocytes were isolated from AH mice, the expression of LINC01093 was up- or downregulated or that of ICAM-1 was silenced to evaluate their effect on cell viability and apoptosis. The corresponding results demonstrated that after overexpression of LINC01093 or silencing of ICAM-1, cell viability was increased and cell apoptosis was reduced in the hepatocytes of AH mice. Moreover, the silencing of LINC01093 was observed to inhibit the viability and promote the apoptosis of hepatocytes of AH mice. Altogether, these results provide evidence that overexpression of LINC01093 could effectively suppress hepatocyte apoptosis and promote proliferation by inhibiting the ICAM-1-mediated NF-κB signaling pathway, thus playing a functional role in AH and hepatic fibrosis.

LINC00205 promotes proliferation, migration and invasion of HCC cells by targeting miR-122-5p

Long non-coding RNAs (lncRNAs) have been identified as crucial regulators in the tumorigenesis and progression of hepatocellular carcinoma (HCC). Recently, long intergenic non-protein coding RNA 205 (LINC00205) has been identified as a prognostic biomarker in HCC. However, the biological role of LINC0205 and its potential molecular mechanism are poorly investigated. Here, we found that the expression of LINC00205 was dramatically up-regulated in HCC tissues compared to adjacent nontumor tissues. Furthermore, the level of LINC00205 in both Hep3B and Huh7 cells was prominently higher than that in normal hepatic cell line LO2. Notably, the high expression of LINC00205 was strongly correlated with tumor size ≥5 cm, venous infiltration and advanced tumor stages. Functionally, LINC00205 knockdown obviously repressed the proliferation, migration and invasion of Hep3B and Huh7 cells in vitro. An inverse correlation between LINC00205 and miR-122-5p was detected in HCC tissues. Interestingly, LINC00205 knockdown increased the level of miR-122-5p in both Hep3B and Huh7 cells. Mechanistically, luciferase reporter assay demonstrated LINC00205 acted as a competing endogenous RNA (ceRNA) by directly interacting with miR-122-5p. More importantly, miR-122-5p overexpression significantly restrained the proliferation, migration and invasion of HCC cells. Collectively, our study provides solid evidence to support the oncogenic role of LINC00205 in HCC, which may be benefit for the improvement of HCC therapy.

Deregulation of H19 is associated with cervical carcinoma

CACX is one of the most common cancer affecting women world-wide. Here, expression microarray analysis revealed 8 over-expressed transcribed pseudogenes (GBP1P1, HLA-DRB6, HLA-H, SLC6A10P, NAPSB, KRT16P2, PTTG3P and RNF126P1), down-regulated 7 lincRNAs (H19, MIR100HG, MEG3, DIO3OS, HOXA11-AS, CD27-AS1 and EPB41L4A-AS) and 6 snoRNAs (SNORD97, SNORD3A, SNORD3C, SNORD3D, SNORA12 and SCARNA9) as DEncGs (log2 fold-change ≥ ±1.0) in CACX. Consequently, down-regulation of lincRNA MEG3 and over-expression of pseudogenes, GBP1P1 and PTTG3P in the microarray analysis were found concordant with the real-time quantitative PCR results upon validation. Then, Ingenuity® Pathway analysis (IPA®) analysis with deregulated DEncGs identified functionally important gene, H19. Further, validation (n = 52) of expression confirmed frequent downregulation of H19 with significant association with its deletion (LOH) and promoter methylation (n = 128) in CACX. Moreover, clinicopathological analysis found Indian CACX patients (n = 26) with alterations of H19 by deletion or, promoter methylation with concomitant low expression have poor prognosis.

Identification of diagnostic long non‑coding RNA biomarkers in patients with hepatocellular carcinoma

Liver cancer is a leading cause of cancer-associated mortality worldwide. Hepatocellular carcinoma (HCC) is the most common subtype of liver cancer. The aim of the present study was to identify long non-coding RNA (lncRNAs) as diagnostic biomarkers for HCC. The lncRNA and mRNA expression profiles of a large group of patients with HCC were obtained from The Cancer Genome Atlas. The differentially expressed lncRNAs (DElncRNAs) and the differentially expressed mRNAs (DEmRNAs) were identified by bioinformatics analysis. Using feature selection procedure and a classification model, the optimal diagnostic lncRNA biomarkers for HCC were identified. Classification models, including random forests, decision tree and support vector machine (SVM), were established to distinguish between HCC and normal tissues. DEmRNAs co-expressed with the lncRNAs were considered as targets of DElncRNAs. Functional annotation of DEmRNAs co-expressed with these lncRNAs biomarkers was performed. Receiver operating characteristic curve analysis of lncRNAs biomarkers was conducted. A total of 3,177 lncRNAs and 15,183 mRNAs between HCC and normal tissues were obtained. RP11-486O12.2, RP11-863K10.7, LINC01093 and RP11-273G15.2 were identified as optimal diagnostic lncRNA biomarkers for HCC that were co-expressed with 273, 69, 76 and 1 DEmRNAs, respectively. The area under the curve values of the random forest model, decision tree model and SVM model were 0.992, 0.927 and 0.992, and the specificity and sensitivity of the three models were 100.0 and 95.6, 92.0 and 98.3 and 98.0 and 97.2%, respectively. ‘PPAR signaling pathway’ and ‘retinol metabolism’ were two significantly enriched target pathways of DElncRNAs. The present study identified four DElncRNAs, including RP11-486O12.2, RP11-863K10.7, LINC01093 and RP11-273G15.2, as potential diagnostic biomarkers of HCC. Functional annotation of target DEmRNAs provided novel evidence for examining the precise roles of lncRNA in HCC.

Prognostic Value of Long Noncoding RNA CRNDE as a Novel Biomarker in Solid Cancers: An Updated Systematic Review and Meta-Analysis

Background: Long noncoding RNA colorectal neoplasia differentially expressed (CRNDE) has been reported to exhibit a potential oncogenic role in the development of human cancers. However, the clinical value of CRNDE expression in various cancers still remains unclear. Herein, we conducted a meta-analysis to investigate the association between CRNDE and clinical outcomes in solid cancers. Methods: A systematic search was performed though the PubMed, EMBASE, Web of Science, Ovid, Cochrane library, CNKI and WanFang databases for eligible studies on clinical values of CRNDE in solid cancers. The pooled hazard ratios (HRs) or odd ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the link between CRNDE and clinical outcomes. Results: A total of 3690 patients from 20 studies (including 2 studies have 2 cohorts, respectively) were included. The results suggested that elevated CRNDE expression predicted a poor overall survival (OS) for in 13 types of solid cancers (HR=1.46, 95% CI: 1.33-1.58, P<0.001) with no heterogeneity (I2=21.8%, P=0.19). Subgroup analysis indicated a significant association between high CRNDE expression and shorter OS in the studies with digestive system cancers (HR=1.42, 95% CI: 1.28-1.55, P<0.001), qRT-PCR method (HR=1.45, 95% CI: 1.30-1.59, P<0.001), sample size >100 (HR=1.44, 95% CI: 1.32-1.57, P<0.001), and NOS>7 (HR= 1.50, 95% CI: 1.23-1.78, P<0.001). Furthermore, the pooled results showed that CRNDE was an independent prognostic factor for OS in cancer patients (HR=1.37, 95% CI: 1.22-1.52, P<0.001). In addition, we also revealed that CRNDE was positively related to tumor size (OR=2.10, 95%CI: 1.68-2.63, P<0.001), TNM stage (OR=2.86, 95%CI: 2.29-3.56, P<0.001), lymph node metastasis (LNM) (OR=3.21, 95%CI: 2.01-5.13, P<0.001), and distant metastasis (OR=4.36, 95%CI: 2.36-8.07, P<0.001). Although the probable evidences of publication bias were found in the studies with OS, tumor size, TNM stage or LNM, the trim and fill analysis confirmed the reliability of these results was not affected. Conclusion: Elevated CRNDE expression was associated with larger tumor size, advanced TNM stage, worse LNM and distant metastasis, and shorter OS, suggesting that CRNDE may act as an independent prognostic biomarker in solid cancers.

Multiomics analysis profile acute liver injury module clusters to compare the therapeutic efficacy of bifendate and muaddil sapra

The pathogenesis of acute liver injury has been plagued by biologists and physicians. We know little about its therapeutic mechanism. Therefore, this study explored the mechanism of bifendate and muaddil sapra in the treatment of acute liver injury. Firstly, co-expression and cluster analysis of disease-related genes were carried out, and the Go function and KEGG pathway of modules and related genes were identified. Secondly, pivot analysis of modules can identify key regulators. On the other hand, based on the acute liver injury induced by CCl4, we use the combined analysis of proteomics and transcriptome to find therapeutic targets and related mechanisms of drugs. A total of 21 dysfunction modules were obtained, which were significantly involved in immune system, hepatitis and other related functions and pathways. Transcriptome analysis showed 117 targets for bifendate treatment, while 119 for muaddil sapra. Through exploring the mechanism, we found that the two drugs could modulate the module genes. Moreover, bifendate regulate the dysfunction module through ncRNA (SNORD43 and RNU11). Muaddil sapra can mediate dysfunction modules not only by regulating ncRNA (PRIM2 and PIP5K1B), but also by regulating TF (STAT1 and IRF8), thus having a wider therapeutic potential. On the other hand, proteome analysis showed that bifendate mainly regulated Rac2, Fermt3 and Plg, while muaddil sapra mainly regulated Sqle and Stat1. In addition, muaddil sapra regulates less metabolic related proteins to make them more effective. Overall, this study not only provides basic theory for further study of the complex pathogenesis of acute liver injury, but also provides valuable reference for clinical use of bifendate and muaddil sapra in the treatment of acute liver injury.

Long non-coding RNA SNHG1 promotes cell proliferation and invasion of hepatocellular carcinoma by acting as a molecular sponge to modulate miR-195

INTRODUCTION

Although long non-coding RNA SNHG1 (lncRNA SNHG1) action on cell proliferation and invasion of hepatocellular carcinoma (HCC) cells has been reported, the effects of lncRNA SNHG1 on migration of HCC cells and the mechanisms are still unclear. The present study aimed to investigate the influence of lncRNA SNHG1 on metastasis in HCC cells and the possible mechanisms underlying this phenotype.

MATERIAL AND METHODS

Expression of lncRNA SNHG1 and miR-195 was determined using qRT-PCR in both HCC cell lines Huh7 and HepG2. Si-RNA was used to silence SNHG1 and miR-195 inhibitor was used to inhibit expression of miR-195. Luciferase reporter assay was conducted to confirm whether miR-195 was the direct binding target of SNHG1.

RESULTS

lncRNA SNHG1 was significantly up-regulated and miR-195 was significantly down-regulated in HCC cell lines. When transfected with si-SNHG1, migration and invasion of HCC cells, as well as expression of astrocyte elevated gene 1 (AEG-1) protein, were significantly inhibited compared with the control cells. Results of dual luciferase reporter assay showed that lncRNA SNHG1 acted as an endogenous sponge of miR-195. On the other hand, the expression of miR-195 in tumor tissue was much lower than that of miR-195 in the corresponding normal tissue. Furthermore, the correlation analysis showed a strong negative relationship between lncRNA SNHG1 and miR-195 expression in HCC tissues.

CONCLUSIONS

SNHG1 may promote cell invasion and migration in HCC cells by sponging miR-195. These results can provide deeper understanding of SNHG1 in hepatocellular cancer and give new potential targets for treatment of HCC.

Overexpression of long noncoding RNA LINC01419 in esophageal squamous cell carcinoma and its relation to the sensitivity to 5-fluorouracil by mediating GSTP1 methylation

BACKGROUND

Genome-wide sequencing investigations have identified numerous long noncoding RNAs (lncRNAs) among mammals, many of which exhibit aberrant expression in cancers, including esophageal squamous cell carcinoma (ESCC). Herein, this study elucidates the role and mechanism by which LINC01419 regulates the DNA methylation of glutathione S-transferase pi 1 (GSTP1) in relation to ESCC progression and the sensitivity of ESCC cells to 5-fluorouracil (5-FU).

METHODS

LINC01419 and GSTP1 levels were quantified among 38 paired ESCC and adjacent tissue samples collected from patients with ESCC. To ascertain the contributory role of LINC01419 in the progression of ESCC and identify the interaction between LINC01419 and GSTP1 promoter methylation, LINC01419 was overexpressed or silenced, and the DNA methyltransferase inhibitor 5-Aza-CdR was treated.

RESULTS

Data from the GEO database (GSE21362) and the Cancer Genome Atlas displayed elevated levels of LINC01419 and downregulated levels of GSTP1 in the ESCC tissues and cells. The silencing of LINC01419 led to decreased proliferation, increased apoptosis, and enhanced sensitivity to 5-FU in ESCC cells. Notably, LINC01419 could bind to the promoter region of the GSTP1 gene, resulting in elevated GSTP1 methylation and reduced GSTP1 levels via the recruitment of DNA methyltransferase among ESCC cells, whereby ESCC progression was stimulated accompanied by reduced ESCC cell sensitivity to 5-FU. GSTP1 demethylation by 5-Aza-CdR was observed to reverse the effects of LINC01419 overexpression in ESCC cells and the response to 5-FU.

CONCLUSION

Highly expressed LINC01419 in ESCC promotes GSTP1 methylation, which ultimately acts to promote the event of ESCC and diminish the sensitivity of ESCC cells to 5-FU, highlighting a novel potential strategy to improve 5-FU-based chemotherapy in ESCC.

The diagnostic and prognostic significance of long non-coding RNA CRNDE in pan-cancer based on TCGA, GEO and comprehensive meta-analysis

BACKGROUND

Accumulating evidence has confirmed that CRNDE is significantly expressed in various cancers, suggesting that it may be a potential biomarker for cancer. However, its diagnostic and prognostic values of CRNDE in cancer are not completely clear. Therefore, we conduct a comprehensive study on CRNDE in cancer.

MATERIALS AND METHODS

CRNDE expression data were downloaded from The Cancer Genome Atlas (TCGA). Microarray data were derived from the Gene Expression Omnibus (GEO) database to validate its differential expression. Furthermore, the receiver operator characteristic curve (ROC) and Kaplan-Meier survival analysis were used to evaluate the diagnostic and prognostic values of CRNDE in cancer, respectively. Finally, we carried out a meta-analysis to comprehensively evaluate the diagnostic and prognostic values of CRNDE in cancer.

RESULTS

In TCGA database, CRNDE was overexpressed in nine types of cancer, among which polymorphic glioblastoma and colonic adenocarcinoma are the most highly expressed. The area under curves (AUC) of nine cancer types ranged from 0.855 to 0.984. Additionally, the high expression level of CRNDE was significantly associated with poor overall survival only in hepatocellular carcinoma (p = 0.032) among the nine cancers in the Kaplan-Meier survival analysis. Finally, the results of the meta-analysis on the literatures showed that the pooled sensitivity, specificity, summary receiver operator characteristic curve (SROC), and the overall hazard ratio of CRNDE in cancers were 0.77 (95% CI: 0.71-0.82), 0.90 (95% CI: 0.82-0.95), 0.87 (95% CI: 0.84-0.90), and 1.66 (95% CI: 1.37-2.01), respectively.

CONCLUSION

CRNDE could be a potential biomarker for cancer diagnosis and prognosis.

Genomewide identification of a novel six-LncRNA signature to improve prognosis prediction in resectable hepatocellular carcinoma

The current prognostic long noncoding RNA (lncRNA) signatures for hepatocellular carcinoma (HCC) are still controversial and need to be optimized by systematic bioinformatics analyses with suitable methods and appropriate patients. Therefore, we performed the study to establish a credible lncRNA signature for HCC outcome prediction and explore the related mechanisms. Based on the lncRNA profile and the clinical data of carefully selected HCC patients (n = 164) in TCGA, six of 12727 lncRNAs, MIR22HG, CTC‐297N7.9, CTD‐2139B15.2, RP11‐589N15.2, RP11‐343N15.5, and RP11‐479G22.8 were identified as the independent predictors of patients’ overall survival in HCC by sequential univariate Cox and 1000 times Cox LASSO regression with 10‐fold CV, and multivariate Cox analysis with 1000 times bootstrapping. In the Kaplan‐Meier analysis with patients trichotomized by the six‐lncRNA signature, high‐risk patients showed significantly shorter survival than mid‐ and low‐risk patients (log‐rank test P < 0.0001). According to the ROCs, the six‐lncRNA signature showed superior predictive capacity than the two existing four‐lncRNA combinations and the traditional prognostic clinicopathological parameter TNM stage. Furthermore, low MIR22HG and CTC‐297N7.9, but high CTD‐2139B15.2, RP11‐589N15.2, RP11‐343N15.5, and RP11‐479G22.8, were, respectively, demonstrated to be related with the malignant phenotypes of HCC. Functionally, the six lncRNAs were disclosed to involve in the regulation of multiple cell cycle and stress response‐related pathways via mediating transcription regulation and chromatin modification. In conclusion, our study identified a novel six‐lncRNA signature for resectable HCC prognosis prediction and indicated the underlying mechanisms of HCC progression and the potential functions of the six lncRNAs awaiting further elucidation.

Identification of long noncoding RNAs biomarkers in patients with hepatitis B virus-associated hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is one of the most common and aggressive cancer worldwide and chronic infection of hepatitis B virus (HBV) serve as one of leading causes of HCC.

OBJECTIVE

This study aimed to identify the novel long noncoding RNAs (lncRNAs) biomarkers for HBV-associated HCC.

METHODS

The lncRNA and mRNA expression profiles of HCC patients with HBV infection were downloaded from The Cancer Genome Atlas. The differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) between HCC and adjacent tissues were identified. The optimal diagnostic and prognostic lncRNA biomarkers for HCC were identified by using feature selection procedure and classification model. Functional annotation of DEmRNAs co-expressed with these lncRNAs biomarkers were performed. Receiver operating characteristic (ROC) curve and survival analysis of these lncRNAs biomarkers were performed. qRT-PCR validation was performed.

RESULTS

A total of 82 DElncRNAs and 805 DEmRNAs between HBV-associated HCC and normal tissues were identified. CAPN10-AS1, LINC01093, RP5-890E16.2, FENDRR and C17orf82 were selected as optimal diagnostic and prognostic lncRNA biomarkers for HBV-associated HCC that were co-expressed with 105, 86, 70, 30 and 1 DEmRNAs, respectively. Based on the DEmRNAs co-expressed with these five lncRNAs biomarkers, Jak-STAT signaling pathway and retinol metabolism were two significantly enriched pathways. The result in qRT-PCR validation were consistent with our analysis based on TCGA, generally.

CONCLUSIONS

This study identified five potential lncRNAs biomarkers for HBV-associated HCC with great diagnostic and prognostic value and provided clues for their functions in HBV-associated HCC.

LncRNA CRNDE is a biomarker for clinical progression and poor prognosis in clear cell renal cell carcinoma

Colorectal neoplasia differentially expressed (CRNDE) served as an oncogenic long noncoding RNA (lncRNA) to be involved in the initialization and development of human cancers. However, the clinical significance and biological function of CRNDE in clear cell renal cell carcinoma (ccRCC) was not fully understood. In our study, we found CRNDE levels were increased in ccRCC tissue specimens and cell lines, and corrected with advanced clinical stage, large tumor size, lymph node metastasis, distant metastasis, and poor pathological grade in patients with ccRCC. Furthermore, levels of CRNDE were negatively correlated with overall survival of patients with ccRCC, and high-expression of CRNDE was an independent poor prognostic factor for patients with ccRCC. Moreover, loss-of-function and gain-of-function approaches showed CRNDE-enhanced ccRCC cell migration and invasion through modulating EMT-associated genes. In conclusion, CRNDE acts as an oncogenic lncRNA in ccRCC.

Colorectal neoplasia differentially expressed: a long noncoding RNA with an imperative role in cancer

Colorectal neoplasia differentially expressed (CRNDE), as a long noncoding RNA (lncRNA), has attracted increasing attention in recent years and has been documented to be at abnormally high expression in various types of cancer, such as colorectal cancer, glioma, hepatocellular carcinoma, lung cancer, and breast cancer. It could not only be used as a clinical biomarker for the early diagnosis and prognosis evaluation in a variety of cancers but also promote the development and progress of various tumor cells. Moreover, it is involved in the targeting regulation of multiple microRNAs and the activation/inhibition of multiple signaling pathways. In this review, we presented a systematic summary of the potential carcinogenicity and clinical value of CRNDE in the current evidence, so as to provide reference for early diagnosis, prognosis evaluation, and targeted therapy of various clinical cancers.

Long Noncoding RNA CCAL Promotes Papillary Thyroid Cancer Progression by Activation of NOTCH1 Pathway

Long noncoding RNA CCAL has been reported to promote tumor progression in various human cancers, including hepatocellular carcinoma, osteosarcoma, and colorectal cancer. However, the role of CCAL in papillary thyroid cancer remains largely unknown. In the present study, we found that the expression of CCAL was upregulated in papillary thyroid tumor tissues compared to adjacent normal tissues. Moreover, the expression of CCAL was positively related with papillary thyroid cancer severity and TNM stage and predicated poor prognosis. Besides, we found that knockdown of CCAL significantly inhibited papillary thyroid cancer cell proliferation, migration, and invasion in vitro and reduced tumor growth and metastasis in vivo. We found that knockdown of CCAL dramatically decreased the expression of NOTCH1 and suppressed the activation of the NOTCH1 signaling pathway. Furthermore, overexpression of NOTCH1 rescued the proliferation, migration, and invasion in papillary thyroid cancer cells. Taken together, our data indicated that CCAL promoted papillary thyroid cancer development and progression by activation of the NOTCH1 pathway, which provided a new insight on the design of therapeutic targets.

Long Noncoding RNA FGFR3-AS1 Promotes Hepatocellular Carcinoma Carcinogenesis via Modulating the PI3K/AKT Pathway

Hepatocellular carcinoma (HCC) as one of the most refractory cancers leads to high mortality worldwide. Long noncoding RNAs have been widely acknowledged as important biomarkers and therapeutic targets in HCC. In this study, we investigated the effects of long noncoding RNA FGFR3-AS1 on tumor growth and metastasis in HCC. First, we found that the expression of FGFR3-AS1 was upregulated about threefold in HCC samples and cell lines. We knocked down FGFR3-AS1 in Huh7 and Hep3B cells and found that FGFR3-AS1 knockdown significantly inhibited cell proliferation but induced apoptosis. Moreover, FGFR3-AS1 knockdown led to more HCC cells arrested in the G₀ stage. FGFR3-AS1 knockdown significantly inhibited cell migration and invasion. Additionally, we found that FGFR3-AS1 silencing dramatically delayed tumor growth in vivo. We found that, mechanistically, FGFR3-AS1 silencing decreased the activation of the PI3K/AKT signaling pathway. Taken together, our data demonstrated the pro-oncogenic role of FGFR3-AS1 in HCC and suggested that FGFR3-AS1 may serve as a novel biomarker for the diagnosis and therapeutic target for HCC treatment.