Screening of significant biomarkers related with prognosis of liver cancer by lncRNA‐associated ceRNAs analysis

LncRNAs involvement in pathogenesis of immune-related disease via regulation of T regulatory cells, an updated review

The pathophysiology of several illnesses, including cancer and autoimmune diseasesdepends on human regulatory T cells (Tregs), and abnormalities in these cells may function as triggers for these conditions. Cancer and autoimmune, and gynecological diseases are associated with the differentiation of the proinflammatory T cell subset TH17 and its balance with the production of Treg. Recently, long non-coding RNAs (lncRNAs) have become important regulatory molecules in a wide range of illnesses. During epigenetic regulation, they can control the expression of important genes at several levels by affecting transcription, post-transcriptional actions, translation, and protein modification. They might connect with different molecules, such as proteins, DNA and RNA, and their structural composition is intricate. Because lncRNAs regulatebiological processes, including cell division, death, and growth, they are linked to severaldiseases. A notable instance of this is the lncRNA NEAT1, which has been the subject of several investigations to ascertain its function in immune cell development. In the context of immune cell development, several additional lncRNAs have been connected to Treg cell differentiation. In this work, we summarize current findings about the diverse functions of lncRNAs in Treg cell differentiation and control of the Th17/Treg homeostasis in autoimmune disorders, cancers, as well as several gynecological diseases where Tregs are key players.

Long non-coding RNA LINC01554 overexpression suppresses viability, migration, and invasion of liver cancer cells through regulating miR-148b-3p/EIF4E3

Background

Long non-coding RNAs (lncRNAs) can be severed as competing endogenous RNAs (ceRNAs) to regulate target genes or mRNAs via sponging microRNAs (miRNAs). This study explored the effect of LINC01554 on liver cancer cells through the ceRNA mechanism.

Methods

Five significantly down-regulated lncRNAs were selected for further verification, and then through bioinformatics, interactive miRNAs and mRNAs of lncRNAs were identified. The relationship between LINC01554, miR-148b-3p and EIF4E3 was detected by the dual luciferase reporter gene assay. Afterwards, HCCLM3 cells were transfected with pCDH-LINC01554, miR-148b-3p inhibitor and miR-148b-3p mimics. Cell viability, apoptosis, migration and invasion were measured by Cell Counting Kit-8, flow cytometer, and Transwell assays. Real-time quantitative PCR (RT-qPCR) and Western blot were used to measure the expressions of related genes and proteins.

Results

LINC01554 was significantly down-regulated in the liver cancer cell lines, and was expressed in the cytoplasm of HCCLM3 cells. LINC01554 overexpression inhibited proliferation, migration, and invasion of HCCLM3 cells, and promote their apoptosis (P < 0.05). Besides, LINC01554 overexpression also significantly increased the levels of BAX, BCL2/BAX, P53, cleaved-Caspase3, TIMP3, E-cadherin and EIF4E3 (P < 0.05). Through bioinformatics and dual-luciferase reporter gene assay, LINC01554, miR-148b-3p and EIF4E3 were proved to interact with each other. Furthermore, the effects of miR-148b-3p knockdown on HCCLM3 cells were similar with those of LINC01554 overexpression, and miR-148b-3p mimics could reverse the changes of cell viability, apoptosis, migration, and invasion induced by LINC01554 overexpression.

Conclusions

LINC01554 overexpression could suppress the growth and metastasis of HCCLM3 cells via miR-148b-3p/EIF4E3.

Unveiling the hub genes associated with aflatoxin B1-induced hepatotoxicity in chicken

Aflatoxin B1 (AFB1), a ubiquitous and toxic mycotoxin in human food and animal feedstuff, can impair the function and health of some organs, especially the liver. However, the knowledge about the potential mechanisms of AFB1-induced hepatotoxicity in chickens is limited. Therefore, we analyzed the gene expression data of chicken embryo primary hepatocytes (CEPHs) treated with and without AFB1 at the dose of 0.1 μg/mL which were cultured at 37 °C in Medium 199 (Life Technologies, Shanghai, China) with 5.0% CO2 for 48 h. Totally 1,711 differentially expressed genes (DEGs) were identified, in which 1,170 and 541 genes were up- and down-regulated in AFB1-administrated CEPHs compared to the control, respectively. Biological process analysis suggested that these DEGs might take part in angiogenesis, cell adhesion, immune response, cell differentiation, inflammatory response, cell migration regulation, and blood coagulation. Signaling pathways analysis revealed that these DEGs were mainly linked to metabolic pathways, MAPK, TLR2, and actin cytoskeleton regulation pathways. Moreover, the hub genes, including GYS2, NR1H4, ALDH8A1, and ANGPTL3, might participate in AFB1-induced hepatotoxicity. Taken together, our study offers a new insight into the mechanisms of the AFB1-induced hepatotoxicity.

A Novel Gene Pair CSTF2/DPE2A Impacts Prognosis and Cell Cycle of Hepatocellular Carcinoma

Background

Hepatocellular carcinoma (HCC), one of the commonest cancers at present, possesses elevated mortality. This study explored the predictive value of CSTF2/PDE2A for HCC prognosis.

Methods

In this study, clinical information and RNA sequencing expression profiles of HCC patients were acquired from common databases. Kaplan-Meier curve compound with time-dependent ROC curve, nomogram model, and univariate/multivariate Cox analysis were carried out to access the prediction capacity of CSTF2/PDE2A. The immune status, tumor microenvironment, drug sensitivity, biological function and pathway between HCC and adjacent non-tumorous tissue were analyzed and compared. Finally, RT-qPCR, Western blot, and apoptosis assays were performed to verify the effect on HCC cells of CSTF2/PDE2A.

Results

The optimal cut-off value of CSTF2, PDE2A and CSTF2/PDE2A was 6.95, 0.95 and 3.63, respectively. In TCGA and ICGC cohorts, the high group of CSTF2/PDE2A presented higher OS compared to low group. The area under the curve (AUC) for OS at 1-, 2-, and 3-years predicted by CSTF2/PDE2A were 0.731/0.695, 0.713/0.732 and 0.689/0.755, higher than the counterparts of the single gene CSTF2 and PDE2A. Multivariate Cox analysis revealed that CSTF2/PDE2A (HR = 1.860/3.236, 95% CI = 1.265-2.733/1.575-6.645) was an independent prognostic factor for HCC. The OS nomogram model created according to five independent factors including CSTF2/PDE2A showed excellent capacity for HCC prognosis. Furthermore, the immune status of the CSTF2/PDE2A high group was deleted, cell cycle-related genes and chemotherapy resistance were increased. Finally, cell experiments revealed distinct differences in the proliferation, apoptosis, protein and mRNA expression of HCC cells after si-CSTF2 transfection compared with the negative control.

Conclusion

Taken together, the gene pair CSTF2/PDE2A is able to forecast the prognosis of HCC and regulates cell cycle, which is promising as a novel prognostic predictor of HCC.

Sparse Independence Component Analysis for Competitive Endogenous RNA Co-Module Identification in Liver Hepatocellular Carcinoma

OBJECTIVE

Long non-coding RNAs (lncRNAs) have been shown to be associated with the pathogenesis of different kinds of diseases and play important roles in various biological processes. Although numerous lncRNAs have been found, the functions of most lncRNAs and physiological/pathological significance are still in its infancy. Meanwhile, their expression patterns and regulation mechanisms are also far from being fully understood.

METHODS

In order to reveal functional lncRNAs and identify the key lncRNAs, we develop a new sparse independence component analysis (ICA) method to identify lncRNA-mRNA-miRNA expression co-modules based on the competitive endogenous RNA (ceRNA) theory using the sample-matched lncRNA, mRNA and miRNA expression profiles. The expression data of the three RNA combined together is approximated sparsely to obtain the corresponding sparsity coefficient, and then it is decomposed by using ICA constraint optimization to obtain the common basis and modules. Subsequently, affine propagation clustering is used to perform cluster analysis on the common basis under multiple running conditions to obtain the co-modules for the selection of different RNA elements.

RESULTS

We applied sparse ICA to Liver Hepatocellular Carcinoma (LIHC) dataset and the experiment results demonstrate that the proposed sparse ICA method can effectively discover biologically functional expression common modules.

CONCLUSION

It may provide insights into the function of lncRNAs and molecular mechanism of LIHC. Clinical and Translational Impact Statement-The results on LIHC dataset demonstrate that the proposed sparse ICA method can effectively discover biologically functional expression common modules, which may provide insights into the function of IncRNAs and molecular mechanism of LIHC.

Comprehensive Analysis of the Expression and Prognosis for Lipid Metabolism-Related Genes in Hepatocellular Carcinoma

Hao DingBackground  This study aimed to screen potential key genes associated with lipid metabolism and to evaluate their expressions and prognosis values in hepatocellular carcinoma (HCC). Methods  Data sets GSE6764, GSE14520, and GSE112790 were used to identify the common differentially expressed genes (DEGs). Protein-protein interaction (PPI) network was constructed by STRING database. Hub genes in PPI network were identified and subjected to functional enrichment analysis to screen lipid metabolism-related genes. The expressions of selected genes and their associations with prognosis were analyzed using UALCAN, The Human Protein Atlas, and Kaplan-Meier plotter databases. The transcriptional factor (TF)-gene regulatory network was constructed using NetworkAnalyst. Results  A total of 331 common DEGs including 106 upregulated and 225 downregulated genes were identified. PPI network analysis showed that 76 genes with high degrees were identified as hub genes, among which 14 genes were lipid metabolism-related genes. PON1, CYP2C9, and SPP1 were found to be the independent prognostic markers. Key TFs with close interactions with these prognostic genes, including HINFP, SRF, YY1, and NR3C1, were identified from the TF-gene regulatory network. Conclusion  This study presented evidence for the prognostic capabilities of lipid metabolism-related genes in HCC, and newly identified HINFP and NR3C1 as potential biomarkers for HCC.

Aldehyde dehydrogenase in solid tumors and other diseases: Potential biomarkers and therapeutic targets

The family of aldehyde dehydrogenases (ALDHs) contains 19 isozymes and is involved in the oxidation of endogenous and exogenous aldehydes to carboxylic acids, which contributes to cellular and tissue homeostasis. ALDHs play essential parts in detoxification, biosynthesis, and antioxidants, which are of important value for cell proliferation, differentiation, and survival in normal body tissues. However, ALDHs are frequently dysregulated and associated with various diseases like Alzheimer's disease, Parkinson's disease, and especially solid tumors. Notably, the involvement of the ALDHs in tumor progression is responsible for the maintenance of the stem-cell-like phenotype, triggering rapid and aggressive clinical progressions. ALDHs have captured increasing attention as biomarkers for disease diagnosis and prognosis. Nevertheless, these require further longitudinal clinical studies in large populations for broad application. This review summarizes our current knowledge regarding ALDHs as potential biomarkers in tumors and several non-tumor diseases, as well as recent advances in our understanding of the functions and underlying molecular mechanisms of ALDHs in disease development. Finally, we discuss the therapeutic potential of ALDHs in diseases, especially in tumor therapy with an emphasis on their clinical implications.

Long noncoding RNA HAND2-AS1: A crucial regulator of malignancy

Long non-coding RNAs (LncRNAs) are single-stranded RNAs over 200 nucleotides in length that have no protein-coding function and have long been considered non-functional by-products of transcription. Recent studies have shown that dysregulation of lncRNAs may be involved in the malignant biological behavior of tumors. Targeted regulation of lncRNAs has become a research focus of anti-tumor treatment. LncRNAs heart and neural crest derivatives expressed 2 antisense RNA 1 (HAND2-AS1) was down-regulated in various tumors and can be used as a critical tumor regulator to modulate tumor cells proliferation, apoptosis, metastasis, invasion, metabolism and drug resistance. Additionally, aberrantly expressed HAND2-AS1 was closely related to the clinical pathological characteristics of cancer patients and serve as a promising tumor diagnostic and prognostic biomarker. This article aims to review the roles of HAND2-AS1 in tumorigenesis and development, as well as the underlying molecular mechanisms and clinical significance.

Epigenetic reprogramming in pancreatic premalignancy and clinical implications

Pancreatic cancer (PC) is the most lethal human cancer, with less than 10% 5-year survival. Pancreatic premalignancy is a genetic and epigenomic disease and is linked to PC initiation. Pancreatic premalignant lesions include pancreatic intraepithelial neoplasia (PanIN), intraductal papillary mucinous neoplasm (IPMN), and mucinous cystic neoplasm (MCN), with pancreatic acinar-to-ductal metaplasia (ADM) as the major source of pancreatic premalignant lesions. Emerging evidence reveals that an epigenetic dysregulation is an early event in pancreatic tumorigenesis. The molecular mechanisms of epigenetic inheritance include chromatin remodeling; modifications in histone, DNA, and RNA; non-coding RNA expression; and alternative splicing of RNA. Changes in those epigenetic modifications contribute to the most notable alterations in chromatin structure and promoter accessibility, thus leading to the silence of tumor suppressor genes and/or activation of oncogenes. The expression profiles of various epigenetic molecules provide a promising opportunity for biomarker development for early diagnosis of PC and novel targeted treatment strategies. However, how the alterations in epigenetic regulatory machinery regulate epigenetic reprogramming in pancreatic premalignant lesions and the different stages of their initiation needs further investigation. This review will summarize the current knowledge of epigenetic reprogramming in pancreatic premalignant initiation and progression, and its clinical applications as detection and diagnostic biomarkers and therapeutic targets in PC.

Low Expression of Phosphodiesterase 2 (PDE2A) Promotes the Progression by Regulating Mitochondrial Morphology and ATP Content and Predicts Poor Prognosis in Hepatocellular Carcinoma

Phosphodiesterase 2 (PDE2A) modulates the levels of cAMP/cGMP and was recently found to be involved in mitochondria function regulation, closely related to multiple types of tumor progression. This study aimed to estimate the prognostic significance and biological effects of PDE2A on hepatocellular carcinoma (HCC). We comprehensively analyzed the PDE2A mRNA expression in HCC based on The Cancer Genome Atlas (TCGA) database and investigated the effects of PDE2A on the proliferation and metastatic capacity of HCC cells. PDE2A was downregulated in 25 cancer types, including HCC. Lower PDE2A expression was a protective factor in HCC and was negatively associated with serum AFP levels, tumor status, vascular invasion, histologic grade, and pathologic stage of HCC. Moreover, tumors with low PDE2A expression displayed a decreased immune function. Then, the ROC curve was used to assess the diagnostic ability of PDE2A in HCC (AUC = 0.823 in TCGA and AUC = 0.901 in GSE76427). Patients with low PDE2A expression exhibited worse outcomes compared with those with high PDE2A expression. Additionally, GO functional annotations demonstrated the involvement of PDE2A in the ECM organization, systems development, and ERK-related pathways, indicating that PDE2A might regulate HCC growth and metastasis. The in vitro experiments confirmed that overexpression of PDE2A inhibited proliferation, colony formation, migration, and invasion in two HCC cell lines (HLF and SNU-368), while inhibition of PDE2A has the opposite results. The mechanism of PDE2A's effect on HCC cells is attributed to the change of mitochondrial morphology and ATP content. These data demonstrated that PDE2A closely participated in the regulation of HCC proliferation and metastasis and can be used as a predictive marker candidate and a potential therapeutic target for HCC.

Radiosynthesis and Preclinical Evaluation of an 18F-Labeled Triazolopyridopyrazine-Based Inhibitor for Neuroimaging of the Phosphodiesterase 2A (PDE2A)

The cyclic nucleotide phosphodiesterase 2A is an intracellular enzyme which hydrolyzes the secondary messengers cAMP and cGMP and therefore plays an important role in signaling cascades. A high expression in distinct brain areas as well as in cancer cells makes PDE2A an interesting therapeutic and diagnostic target for neurodegenerative and neuropsychiatric diseases as well as for cancer. Aiming at specific imaging of this enzyme in the brain with positron emission tomography (PET), a new triazolopyridopyrazine-based derivative (11) was identified as a potent PDE2A inhibitor (IC50, PDE2A = 1.99 nM; IC50, PDE10A ~2000 nM) and has been radiofluorinated for biological evaluation. In vitro autoradiographic studies revealed that [18F]11 binds with high affinity and excellent specificity towards PDE2A in the rat brain. For the PDE2A-rich region nucleus caudate and putamen an apparent KD value of 0.24 nM and an apparent Bmax value of 16 pmol/mg protein were estimated. In vivo PET-MR studies in rats showed a moderate brain uptake of [18F]11 with a highest standardized uptake value (SUV) of 0.97. However, no considerable enrichment in PDE2A-specific regions in comparison to a reference region was detectable (SUVcaudate putamen = 0.51 vs. SUVcerebellum = 0.40 at 15 min p.i.). Furthermore, metabolism studies revealed a considerable uptake of radiometabolites of [18F]11 in the brain (66% parent fraction at 30 min p.i.). Altogether, despite the low specificity and the blood−brain barrier crossing of radiometabolites observed in vivo, [18F]11 is a valuable imaging probe for the in vitro investigation of PDE2A in the brain and has potential as a lead compound for further development of a PDE2A-specific PET ligand for neuroimaging.

Inhibition of long noncoding RNA cancer susceptibility candidate 7 attenuates hepatocellular carcinoma development by targeting microRNA-30a-5p

Long non-coding RNA (lncRNA) cancer susceptibility candidate 7 (CASC7) was reported to be participated in tumor development. This study was carried out to investigate the functions of CASC7 in hepatocellular carcinoma (HCC) progression. The expression of CASC7 and microRNA-30a-5p (miR-30a-5p) in HCC tissues and cells were detected by quantitative Real-time PCR (qRT-PCR). The expression of Krueppel-like factor 10 (KLF10), transforming growth factor-β (TGF-β), and SMAD3 were detected by Western Blot analysis. Transwell assay, flow cytometry, Cell Counting Kit-8 (CCK-8) assay and colony formation assay were performed to evaluate the effects of CASC7, KLF10 and miR-30a-5p on cell function. The relationship among CASC7, KLF10 and miR-30a-5p was evaluated by luciferase reporter assay and bioinformatics analyses. Tumor growth was detected in nude mice. The expression levels of CASC7 were increased and the expression levels of miR-30a-5p were reduced in HCC cells and tissues. Knockdown of CASC7 and overexpression of miR-30a-5p reduced tumor growth as well as HCC cell proliferation, invasion and migration. In HCC tumor tissues, the expression of miR-30a-5p was negatively correlated with the expression of CASC7. Moreover, as a target of miR-30a-5p, KLF10 was regulated by CASC7 and miR-30a-5p, and CASC7 regulated the KLF10/TGF-β/SMAD3 pathway via binding to miR-30a-5p, thereby promoting HCC cell progression.

MiR-3682 promotes the progression of hepatocellular carcinoma (HCC) via inactivating AMPK signaling by targeting ADRA1A

INTRODUCTION AND OBJECTIVES

This study aimed to investigate miR-3682 as a biomarker in hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

MiRNA and RNA profiles of 375 HCC tissues and 50 normal liver samples were downloaded from The Cancer Genome Atlas (TCGA) database. Multivariate Cox regression and Kaplan-Meier analyses were applied to examine the prognostic value of factors. Target genes of miR-3682 were analyzed by TargetScan and dual-luciferase reporter assay. Online Database for Annotation, Visualization, and Integrated Discovery (DAVID) to perform KEGG pathway enrichment. Cell counting kit-8, colony formation and migration and invasion assays were performed to analyze biological behaviors of HCC cells.

RESULTS

MiR-3682 was identified to be highly expressed in HCC tissues and cell lines. And miR-3682 was negatively and independently associated with the outcome of HCC patients. Inhibition of miR-3682 suppressed HCC cell viability and mobility. ADRA1A, predicted and confirmed as the novel target of miR-3682, was an independent and positive prognostic predictor for HCC. In addition, the knockdown of ADRA1A partially offset the inhibitory effect of miR-3682 inhibitor on the growth and mobility of HCC cells. DAVID enrichment and western blot of key signaling-related proteins analyses revealed that miR-3682 inactivated 5'-AMP-activated protein kinase (AMPK) signaling by negatively regulating ADRA1A. Mechanically, it was partially through suppressing AMPK signaling via targeting ADRA1A that miR-3682 supported the HCC cell malignant phenotype.

CONCLUSIONS

This study implicates that miR-3682 plays an oncogenetic role in HCC and can be considered a novel therapeutic target and prognostic indicator of HCC.

Inhibition of the lncRNA DANCR attenuates cardiomyocyte injury induced by oxygen-glucose deprivation via the miR-19a-3p/MAPK1 axis

Long noncoding RNAs (lncRNAs) have been considered as crucial regulators of acute myocardial infarction (AMI). In this study, to analyze the effect of differentiation antagonizing nonprotein coding RNA (DANCR) of lncRNA on cardiomyocyte damage in AMI, cardiomyocyte injury was induced by oxygen-glucose deprivation (OGD). Cell counting kit-8 (CCK-8) assay and flow cytometry were used to assess cell viability and apoptosis, respectively. Quantitative real-time PCR was used to measure the expression levels of DANCR and miR-19a-3p. Bioinformatics analysis and luciferase gene reporter assay were utilized to explore the relationship among DANCR, miR-19a-3p, and mitogen-activated protein kinase 1 (MAPK1). CCK-8 and TUNEL assays were used to explore the effects of DANCR alone or plus miR-19a-3p on the viability and apoptosis of OGD/R-exposed HL-1 cells. Western blot analysis was used to detect changes in the MAPK1/ERK1/2 pathway in HL-1 cells. We found that DANCR expression and miR-19a-3p level are negatively correlated as DANCR expression is increased, while miR-19a-3p level is decreased in AMI patients' serum and OGD/R-exposed HL-1 cells. DANCR knockdown increased miR-19a-3p level, and miR-19a-3p inhibition increased DANCR expression. Moreover, DANCR directly binds to miR-19a-3p. DANCR knockdown reduced viability but induced apoptosis in OGD/R-exposed HL-1 cells, while miR-19a-3p inhibition weakens these effects. Furthermore, MAPK1 is a target of miR-19a-3p. miR-19a-3p overexpression decreases MAPK1 and ERK1/2 in HL-1 cells, while miR-19a-3p inhibition increases MAPK1 and ERK1/2 in HL-1 cells. Moreover, DANCR knockdown reduces myocardium apoptosis in mice with the left anterior descending artery ligated. DANCR knockdown effectively restores myocardial cell apoptosis by regulating the miR-19a-3p/MAPK1/ERK1/2 axis.

The Therapeutic Value and Molecular Mechanisms of lncRNA FENDRR in Human Cancer

BACKGROUND

Long noncoding RNA (lncRNA) fetal-lethal non-coding developmental regulatory RNA (FENDRR), a newly known lncRNA, has been reported to be abnormally expressed in diverse tumors. This review is focused on clarifying the mechanism of FENDRR to regulate the biological process of tumors, affirming its value as a target for tumor therapy.

METHODS

The pathophysiological mechanism of FENDRR acting on tumors has been analyzed and summarized by reviewing PubMed.

RESULTS

The expression of lncRNA FENDRR is abnormally altered in clinical cancers, promoting the malignant transformation of a variety of tumors, including colon cancer, cervical cancer, hepatocellular carcinoma, prostate cancer, Malignant melanoma, lung cancer, osteosarcoma, breast cancer, etc. Cellular processions, including proliferation, invasion, apoptosis and migration affected by FENDRR, have been revealed.

CONCLUSION

Specific evidences for the involvement of LncRNA FENDRR in cancer regulatory processes suggest that FENDRR has the potential to be a biomarker or clinical therapeutic target for malignant tumors.

Comprehensive Analysis of Differentially Expressed lncRNAs miRNAs and mRNA and Their ceRNA Network of Patients With Rare-Earth Pneumoconiosis

Rare-earth pneumoconiosis (REP) is the main occupational disease of rare earth exposed workers and there is no specific treatment. In this study, we performed high-throughput sequencing on the plasma of nine REP to describe and analyze the expression profiles of long non-coding RNA (lncRNA), micro RNA (miRNA) and mRNA and investigate their regulatory networks. Our results identified a total of 125 lncRNAs, 5 miRNAs, and 82 mRNAs were differentially expressed in the plasma of patients with REP. Furthermore, Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to analyze the differentially expressed non-coding RNAs (ncRNA). We found the differential expression of ncRNA are mainly related to the response of cells to stimulation, Hedgehog signaling pathway and so on. We also constructed lncRNA-miRNA-mRNA networks to further explore their underlying mechanism and possible relationships in REP. We found that in the competitive endogenous RNA (ceRNA) networks, lncRNA acts as a sponge of miRNA to regulate the target gene. The expression results were verified by qRT-PCR and the protein interaction networks of differentially expressed genes were constructed via the STRING database. OncoLnc online platform was used to do the lung cancer survival analysis among the top five mRNA analyzed by Protein-protein interaction (PPI) network analysis. We found miR-16-2-3p may used as biomarker for REP, because it is closely related to the occurrence and prognosis of REP through inflammatory reaction and in lung squamous cell carcinoma, its expression levels were positively correlated with the overall survival rate of patients.

lncRNA LOXL1-AS1 promotes liver cancer cell proliferation and migration by regulating the miR-377-3p/NFIB axis

Liver cancer is becoming one of the most lethal malignancies due to its high incidence and mortality. Accumulating studies have indicated that long non-coding RNAs (lncRNAs) are critical regulators of the tumorigenesis and development of various types of cancer, including liver cancer. LncRNA LOXL1-antisense RNA 1 (LOXL1-AS1) has been identified as an oncogene in some types of human cancer; however, its role in liver cancer remains obscure. Reverse transcription-quantitative PCR was used to measure LOXL1-AS1 expression in liver cancer tissues and cells. Western blot, MTT, colony formation, glucose uptake and wound healing assays were used to explore the biological function of LOXL1-AS1 in liver cancer cells. Bioinformatics analysis and RNA pull-down and luciferase reporter assays were used to explore the molecular mechanism of LOXL1-AS1 in liver cancer cells. Statistical analysis was used to compare the experimental results of different groups. In the present study, LOXL1-AS1 expression was significantly upregulated in liver cancer tissues and cells compared with in normal liver tissues and cells, respectively. High LOXL1-AS1 expression was associated with poor clinical outcomes in patients with liver cancer. Furthermore, LOXL1-AS1-knockdown suppressed glucose metabolism, proliferation, migration and epithelial-mesenchymal transition (EMT) of liver cancer cells. Subsequently, LOXL1-AS1 acted as a microRNA (miR)-377-3p sponge, and nuclear factor I B (NFIB) was confirmed as the downstream target of miR-377-3p in liver cancer cells. Additionally, rescue assays suggested that NFIB overexpression countervailed the inhibitory influence of LOXL1-AS1 silencing on liver cancer cellular processes. The present study demonstrated that LOXL1-AS1 promoted glucose metabolism, proliferation, migration and EMT of liver cancer cells by sponging miR-377-3p and modulating NFIB, which may provide a novel insight for the treatment of liver cancer.

Integrated analysis of ceRNA network in hepatocellular carcinoma using bioinformatics analysis

BACKGROUND

Long noncoding RNAs (lncRNAs) can work as microRNA (miRNA) sponges through a competitive endogenous RNA (ceRNA) mechanism. LncRNAs and miRNAs are important components of competitive endogenous binding, and their expression imbalance in hepatocellular carcinoma (HCC) is closely related to tumor development, diagnosis, and prognosis. This study explored the potential impact of the ceRNA regulatory network in HCC on the prognosis of HCC patients.

METHODS

We thoroughly researched the differential expression profiles of lncRNAs, miRNAs, and mRNAs from 2 HCC Gene Expression Omnibus datasets (GSE98269 and GSE60502). Then, a dysregulated ceRNA network was constructed by bioinformatics. In addition, hub genes in the ceRNA network were screened by Cytoscape, these hub genes functional analysis was performed by gene set enrichment analysis, and the expression of these hub genes in tumors and their correlation with patient prognosis were verified with Gene Expression Profiling Interactive Analysis.

RESULTS

A ceRNA network was successfully constructed in this study including 4 differentially expressed (DE) lncRNAs, 7 DEmiRNAs, and 166 DEmRNAs. Importantly, 4 core genes (CCNA2, CHEK1, FOXM1, and MCM2) that were significantly associated with HCC prognosis were identified.

CONCLUSIONS

Our study provides comprehensive and meaningful insights into HCC tumorigenesis and the underlying molecular mechanisms of ceRNA. Furthermore, the specific ceRNAs can be further used as potential therapeutic targets and prognostic biomarkers for HCC.

Increased EHHADH Expression Predicting Poor Survival of Osteosarcoma by Integrating Weighted Gene Coexpression Network Analysis and Experimental Validation

Enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase (EHHADH), a member of the 3-hydroxyacyl-CoA dehydrogenase family, were previously demonstrated to be involved in the tumorigenesis of various cancer types. This study is aimed at determining of the diagnostic and prognostic value of EHHADH in osteosarcoma (OS). The overexpression of EHHADH was found both in OS and also other sarcoma types, and according to the retrospective cohort study, the EHHADH level was related to the overall survival and disease-free survival of the OS patients. Furthermore, knockdown of EHHADH under the influence of EHHADH small interfering RNA significantly suppressed the proliferation ability of the tumor cells. Moreover, EHHADH overexpressed was found in human OS tissues. In summary, the progression of OS could be enhanced by EHHADH, which may be a potential diagnostic and prognostic biomarker for OS patients.

Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence

Background

Hepatocellular carcinoma (HCC) is one of the most common and deadly malignant tumors, with a high rate of recurrence worldwide. This study aimed to investigate the mechanism underlying the progression of HCC and to identify recurrence-related biomarkers.

Methods

We first analyzed 132 HCC patients with paired tumor and adjacent normal tissue samples from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). The expression profiles and clinical information of 372 HCC patients from The Cancer Genome Atlas (TCGA) database were next analyzed to further validate the DEGs, construct competing endogenous RNA (ceRNA) networks and discover the prognostic genes associated with recurrence. Finally, several recurrence-related genes were evaluated in two external cohorts, consisting of fifty-two and forty-nine HCC patients, respectively.

Results

With the comprehensive strategies of data mining, two potential interactive ceRNA networks were constructed based on the competitive relationships of the ceRNA hypothesis. The ‘upregulated’ ceRNA network consists of 6 upregulated lncRNAs, 3 downregulated miRNAs and 5 upregulated mRNAs, and the ‘downregulated’ network includes 4 downregulated lncRNAs, 12 upregulated miRNAs and 67 downregulated mRNAs. Survival analysis of the genes in the ceRNA networks demonstrated that 20 mRNAs were significantly associated with recurrence-free survival (RFS). Based on the prognostic mRNAs, a four-gene signature (ADH4, DNASE1L3, HGFAC and MELK) was established with the least absolute shrinkage and selection operator (LASSO) algorithm to predict the RFS of HCC patients, the performance of which was evaluated by receiver operating characteristic curves. The signature was also validated in two external cohort and displayed effective discrimination and prediction for the RFS of HCC patients.

Conclusions

In conclusion, the present study elucidated the underlying mechanisms of tumorigenesis and progression, provided two visualized ceRNA networks and successfully identified several potential biomarkers for HCC recurrence prediction and targeted therapies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08173-0.

Comparative Transcriptome Profiling of mRNA and lncRNA of Ovaries in High and Low Egg Production Performance in Domestic Pigeons (Columba livia)

Egg production performance is one of the most important economic traits in pigeon industry. However, little is known regarding how egg production performance is regulated by long non-coding RNAs (lncRNAs) in pigeons. To evaluate the lncRNAs and mRNAs in ovaries associated with egg production performance in domestic pigeons, high-throughput RNA sequencing of ovaries between high and low egg production performance groups were performed and analyzed in this study. A total of 34,346 mRNAs and 24,601 lncRNAs were identified, including 14,525 known lncRNAs and 10,076 novel lncRNAs, of which 811 mRNAs and 148 lncRNAs (P < 0.05) were significantly differentially expressed (DE) between the groups of high and low egg production performance. GO and KEGG annotation analysis indicated that the target genes of DE lncRNAs and DE mRNAs were related to cell differentiation, ATP binding and methylation. Moreover, we found that FOXK2, a target gene of lncRNA MSTRG.7894.4, was involved in regulating estrogen receptors. Our study provided a catalog of lncRNAs and mRNAs associated with egg production performance, and they deserve further study to deepen the understanding of biological processes in the ovaries of pigeons.

HAND2-AS1: A functional cancer-related long non-coding RNA

Long non-coding RNAs (lncRNAs) regulate gene expression and carcinogenesis. The lncRNA heart and neural crest derivatives expressed transcript 2 antisense RNA 1 (HAND2‑AS1) suppresses tumor growth, and its expression level was lower in tumor tissues than in adjacent normal tissues of most types of human cancers, including non-small cell lung cancer, ovarian cancer, breast cancer, gastric cancer, colorectal cancer, cervical cancer, endometrial cancer, prostate cancer, and esophagus squamous cell carcinoma. However, one study reported that the HAND2‑AS1 expression was upregulated in hepatocellular carcinoma tissues comparing with non-tumor tissues and it promoted tumor development. The aberrant expression of HAND2-AS1 was strongly linked to tumor progression and prognosis. Moreover, HAND2-AS1 was involved in tumor cell proliferation, differentiation, apoptosis, and cellular glucose metabolism. This review summarizes data on the expression profile, functions, underlying mechanism, and clinical value of HAND2-AS1 in cancer. The expression profile of HAND2-AS1 in 33 tumors was evaluated by bioinformatics analysis of The Cancer Genome Atlas.

lncRNA HAND2-AS1 is downregulated in osteoarthritis and regulates IL-6 expression in chondrocytes

BACKGROUND

Osteoarthritis (OA) is a leading cause of disability. The incidence of OA is progressively rising due to the diminishing levels of physical activity and ever-expanding aging population. However, the mainstay for OA treatment only can improve symptoms without delay the progression of this severe disease. This study aimed to explore the biological role and clinical function of lncRNA HAND2-AS1 in OA.

METHODS

Blood samples and synovial fluid were collected from OA patients and normal subjects. HAND2-AS1 expression was detected by qRT-PCR and IL-6 expression was detected by ELISA. The plasma levels of HAND2-AS1 were also detected in different ages, stages, and gender of OA patients and controls. Furthermore, the ROC curve was used to analyze whether HAND2-AS1 can distinguish OA patients from normal subjects. Also, Pearson correlation coefficient analysis was used to analyze the correlation between lncRNA HAND2-AS1 and IL-6. In addition, Western blot was used to detect the IL-6 level upon HAND2-AS1 over-expression in chondrocytes and qRT-PCR was used to detect the HAND2-AS1 level after endogenous IL-6 treatment.

RESULTS

HAND2-AS1 and IL-6 were dysregulated in plasma and synovial fluid of OA patients. The expression of HAND2-AS1 in plasma of OA patients was decreased with aging and progression. Furthermore, HAND2-AS1 downregulation effectively distinguished OA patients from the healthy controls. Over-expression of HAND2-AS1 inhibited IL-6 expression in chondrocytes, while treatment with exogenous IL-6 did not affect HAND2-AS1 expression.

CONCLUSION

HAND2-AS1 effectively distinguished OA patients from the healthy controls and regulates IL-6 expression in human chondrocytes.

TRIAL REGISTRATION

ChiCTR, ChiCTR2000038635 . Registered 11 February 2019.

Role of HAND2-AS1 in human tumors

Long noncoding RNAs (lncRNAs) are molecules more than 200 nucleotides in length. They play roles in various cells, mainly regulating cell growth, differentiation, and apoptosis. They also participate in the pathogenesis of many diseases. In fact, several studies have shown that lncRNAs function as cancer or tumor suppressor genes and play important roles in the occurrence and development of cancer in humans. New evidence has shown that lncRNA heart and neural crest derivatives expressed 2-antisense RNA 1 (lncRNA HAND2-AS1) hinders the occurrence and development of various tumors. Overexpression of HAND2-AS1 was found to be significantly related to the clinical and pathological characteristics of cancer patients, as well as the regulation of cell proliferation, apoptosis, invasion, metastasis, and energy metabolism through several possible mechanisms. Therefore, HAND2-AS1 may be a promising tumor biomarker and therapeutic target. Here, we review the biological functions, mechanisms, and potential clinical significance of HAND2-AS1 in numerous human tumors.

The variable association between expression and methylation of estrogen receptors and the survival of patients with different tumors

BACKGROUND

Estrogen receptor (ER) is essential in reproductive development and is also the primary driver of breast cancers. Deregulation of ER may also be involved in tumorigenesis of other organs. To understand the role of ER in different tumor types, pan-cancer analysis of estrogen receptor alpha (ESR1) and estrogen receptor beta (ESR2) in various tumors and association with patients' survival were conducted using The Cancer Genome Atlas (TCGA) data.

RESULTS

Gene methylation level was evaluated by the mean methylation level of CpG sites in the promoter region. The significant different DNA methylation between tumor and healthy tissues was shown in 10 tumor types for ESR1 and eight tumor types for ESR2. The methylation pattern was also varied across different TCGA tumors. The pan-cancer analysis showed significantly different mRNA expression of ESR1 in nine tumor types and ESR2 in four tumor types. Survival analysis showed that the effects of ERs expression on survival are diverse in different tumors. The expression of ERs was associated with tumor molecular subtypes and various clinical characteristics. ER correlated genes were mainly enriched in cancer and immune-related pathways.

CONCLUSIONS

Our pan-cancer analysis data indicated that ERs might be significantly associated with carcinogenesis and progression of some tumors, which may be potential therapeutic targets and prognosis biomarkers.

[Over-expression of miR-144 inhibits invasion of liver cancer SMMC-7721 cells in vitro by suppressing TLR/MyD88 pathway]

OBJECTIVE

To investigate the effects of over-expression of miR-144 on invasion of SMMC-7721 cells and Toll-like receptor (TLR)/myeloid differentiation factor 88 (MyD88) pathway in hepatocellular carcinoma cells.

METHODS

The expressions of miR-144 was examined in normal human hepatocyte line HL-7702 and hepatocarcinoma cell line SMMC-7721 using realtime quantitative PCR (qRT-PCR). SMMC-7721 cells were divided into blank group, miR-144 NC group and miR-144 mimics group, and the expressions of miR-144 in each group were detected with qRT-PCR. Cell count kit-8 (CCK8) was used to assess the survival of SMMC-7721 cells, and the cell invasion was evaluated using Transwell assay. The expressions of matrix metalloproteinase-2 (MMP-2), matrix metalloproteinase-9 (MMP-9) and TLR/MyD88 pathway-related proteins in the cells were detected with Western blotting; the effect of 40 μ mol/L MyD88 inhibitor on TLR/MyD88 pathway-related proteins was examined in SMMC-7721 cells.

RESULTS

Compared with normal human hepatocytes, SMMC-7721 cells expressed a significantly lower level of miR-144 (P < 0.05). CCK-8 assay showed that test showed that miR-144 over-expression significantly decreased the cell survival rate (P < 0.05), lowered the number of invasive cells, and decreased the expression of MMP-2 and MMP-9 in SMMC-7721 cells (P < 0.05). The expressions of Toll-like receptor 4 (TLR4), MyD88, phosphorylated nuclear factor-kappa B (pNF-κB) and NF-κB protein decreased significantly in miR-144 mimics group and TJ-M2010-2 group (P < 0.05) and were comparable between the two groups (P > 0.05).

CONCLUSIONS

Overexpression of miR-144 decreases SMMC-7721 cell survival and invasion by inhibiting TLR/MyD88 pathway.

The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining

To reconstruct the ceRNA biological network of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and to select an appropriate mRNA as a biomarker that could be used for CESC early diagnosis and prognosis evaluation. We downloaded CESC data from the TCGA public database, and statistical analysis was conducted with the R software to find out differential expressed genes encoding for lncRNAs, miRNAs, and mRNAs. The differentially expressed mRNAs (DEmRNAs) screened in the ceRNA network were analyzed for survival to find the mRNAs with significantly linked to the survival prognosis. These mRNAs were searched in the Pathological Atlas to identify the final appropriate mRNAs. Differential expression analysis revealed 773 lncRNAs, 94 miRNAs, and 2466 mRNAs. Survival analysis of DEmRNAs in the ceRNA network indicated that ADGRF4, ANXA8L1, HCAR3, IRF6, and PDE2A (P < 0.05) were negatively correlated with survival time. Verification of these six DEmRNAs in the Pathology Atlas indicated that PDE2A was a possible biomarker for CESC patients. PDE2A might be a biomarker for early diagnosis and prognosis evaluation of CESC patients, but due to the lack of available data, further studies may be needed for confirmation.

Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma

PURPOSE

Esophageal squamous cell carcinoma (ESCC) remains a common aggressive malignancy in the world. Several long non-coding RNAs (lncRNAs) are reported to predict the prognosis of ESCC. Therefore, an in-depth research is urgently needed to further investigate the prognostic value of lncRNAs in ESCC.

RESULTS

From the training set, we identified a eight-lncRNA signature (including AP000487, AC011997, LINC01592, LINC01497, LINC01711, FENDRR, AC087045, AC137770) which separated the patients into two groups with significantly different overall survival (hazard ratio, HR = 3.79, 95% confidence interval, 95% CI [2.56-5.62]; P < 0.001). The signature was applied to the validation set (HR = 2.73, 95%CI [1.65-4.53]; P < 0.001) and showed similar prognostic values. Stratified, univariate and multivariate Cox regression analysis indicated that the signature was an independent prognostic factor for patients with ESCC. A nomogram based on the lncRNAs signature, age, grade and stage was developed and showed good accuracy for predicting 1-, 3- and 5-year survival probability of ESCC patients. We found a strong correlation between the gene significance for the survival time and T stage. Eight modules were constructed, among which the key module most closely associated with clinical information was identified.

CONCLUSIONS

Our eight-lincRNA signature and nomogram could be practical and reliable prognostic tools for esophageal squamous cell carcinoma.

METHODS

We downloaded the lncRNA expression profiles of ESCC patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and separated to training and validation cohort. The univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were used to identify a lncRNA-based signature. The predictive value of the signature was assessed using the Kaplan-Meier method, receiver operating characteristic (ROC) curves and area under curve (AUC). Weighted gene co-expression network analysis (WGCNA) was applied to predict the intrinsic relationship between gene expressions. In addition, we further explored the combination of clinical information and module construction.