LINC00844 promotes proliferation and migration of hepatocellular carcinoma by regulating NDRG1 expression

NDRG1 alleviates Erastin-induced ferroptosis of hepatocellular carcinoma

BACKGROUND

NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains uncharacterized.

METHODS

The differential expression of NDRG1 and its prognostic value were analyzed in HCC using data from TCGA and GEO. Ferroptosis in HepG2 and Huh7 cells was assessed using flow cytometry, transmission electron microscopy, and propidium iodide staining following NDRG1 knockdown using shRNA. RNA-seq was performed to characterize the mRNA expression profiles in HepG2 cells, identifying differentially expressed mRNAs (DE-mRNAs) and NDRG1-related hub genes.

RESULTS

NDRG1 was overexpressed in multiple malignant tumors, including HCC, and was associated with a significantly poor prognosis in HCC patients. A nomogram model integrating NDRG1 expression and clinical parameters demonstrated robust prognostic accuracy. NDRG1 knockdown potentiated erastin-induced alterations in Fe2+, total ROS, lipid ROS, and ferroptosis markers (PTGS2, ACSL4, GPX4, SLC7A11, GSH, GSSG), while exacerbating mitochondrial ultrastructural damage in HepG2 and Huh7 cells. Erastin induction elicited 1,056 DE-mRNAs, while subsequent NDRG1 knockdown revealed 1,323 DE-mRNAs in HepG2 cells. These DE-mRNAs are mainly involved in metastasis, immunity, growth, ferroptosis, and are associated with AMPK, MAPK, and PI3K/AKT pathways. Moreover, NDRG1 potentially interacted with HSPA8, CDH1, ALDOC, ANGPTL4, ANKRD37, CA9, ERBB3, FOS. qRT-PCR confirmed their expression changes consistent with RNA-seq.

CONCLUSION

NDRG1 exhibits strong predictive value for HCC, and accelerates tumor progression by suppressing ferroptosis.

Long non-coding RNAs in cancer: multifaceted roles and potential targets for immunotherapy

Cancer remains a major global health concern with high mortality rates mainly due to late diagnosis and poor prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of gene expression in human cancer, functioning through various mechanisms including as competing endogenous RNAs (ceRNAs) and indirectly regulating miRNA expression. LncRNAs have been found to have both oncogenic and tumor-suppressive roles in cancer, with the former promoting cancer cell proliferation, migration, invasion, and poor prognosis. Recent research has shown that lncRNAs are expressed in various immune cells and are involved in cancer cell immune escape and the modulation of the tumor microenvironment, thus highlighting their potential as targets for cancer immunotherapy. Targeting lncRNAs in cancer or immune cells could enhance the anti-tumor immune response and improve cancer immunotherapy outcomes. However, further research is required to fully understand the functional roles of lncRNAs in cancer and the immune system and their potential as targets for cancer immunotherapy. This review offers a comprehensive examination of the multifaceted roles of lncRNAs in human cancers, with a focus on their potential as targets for cancer immunotherapy. By exploring the intricate mechanisms underlying lncRNA-mediated regulation of cancer cell proliferation, invasion, and immune evasion, we provide insights into the diverse therapeutic applications of these molecules.

Novel signature of ferroptosis-related long non-coding RNA to predict lower-grade glioma overall survival

BACKGROUND

Ferroptosis is a novel type of programmed cell death in various tumors; however, underlying mechanisms remain unclear. We aimed to develop ferroptosis-related long non-coding RNA (FRlncRNA) risk scores to predict lower-grade glioma (LGG) prognosis and to conduct functional analyses to explore potential mechanisms.

METHODS

LGG-related RNA sequencing data were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. Pearson correlation analysis was used to identify the FRlncRNAs, univariate Cox regression analysis was for identify the prognostic FRlncRNAs, and then intersection FRlncRNAs were screened between TCGA and CGGA. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to develop a risk score to predict LGG prognosis.

RESULTS

A total of nine FRlncRNAs were screened to construct the novel prognostic risk score of LGG, and high-risk score patients had a worse overall survival than low-risk score patients both in TCGA and CGGA datasets. The risk score was quite correlated with clinicopathological characteristics (age, WHO grade, status of MGMT Methtlation, IDH mutation, 1p/19q codeletion, and TMB), and could promote current molecular subtyping systems. Comprehensive analyses revealed that signaling pathways of B-cell receptor and T-cell receptor, immune cells of macrophage cell and CD4+ T cell, tumor microenvironment of stroma score and immune score, and immune checkpoints of PD-1, PD-L1, and CTLA4 were all enriched in the high-risk score group.

CONCLUSION

The nine FRlncRNAs risk scores was a promising biomarker to predict the LGG's prognosis and distinguish the characteristics of molecular and immune.

Overexpression of NDRG1 leads to poor prognosis in hepatocellular carcinoma through mediating immune infiltration and EMT

BACKGROUND

NDRG1, the first member of the NDRG family, is a multifunctional protein associated with carcinogenesis. Its function in human cancer is currently poorly understood. The aim of this study was to explore the importance of NDRG1 in tumor immune cell infiltration and epithelial-mesenchymal transition (EMT) in hepatocellular carcinoma.

METHODS

NDRG1 expression in various cancers was analyzed using TIMER 2.0, the Human Protein Atlas (HPA), UALCAN and PrognoScan. Wound healing, Transwell, MTT and colony formation assays were performed to confirm the effects of NDRG1 on the metastasis and proliferation of HCC cells. Western blotting was used to study the effect of NDRG1 on the expression of EMT-related proteins. Signaling networks were constructed using LinkedOmics and Metascape. TIMER2.0 and TISIDB were used for comprehensive analysis of tumor-infiltrating immune cells and tumor-infiltrating lymphocytes (TILs).

RESULT

NDRG1 expression was higher in HCC tissue than in normal liver tissue at both the mRNA and protein levels. Overexpression of NDRG1 is associated with poor prognosis in HCC patients. Genomic analysis suggests that NDRG1 promoter hypermethylation leads to enhanced transcription, which may be one mechanism for NDRG1 upregulation in HCC. The overexpression of NDRG1 promotes the invasion, migration, and proliferation of HCC cells and induces the expression of EMT-related proteins. Immunoinfiltration analysis suggests that NDRG1 is involved in the recruitment of immune cells.

CONCLUSIONS

The present study showed that NDRG1 may induce metastasis and invasion through EMT and immune cell infiltration. NDRG1 could be used as a biomarker for the diagnosis and prognosis of HCC and could be a potential therapeutic target in HCC.

LINC00844 suppresses tumor progression and predicts survival outcomes through inhibiting miR-19a-5p in cholangiocarcinoma

BACKGROUND

Cholangiocarcinoma (CCA) is a heterogeneous malignancy. The aim of the study was to investigate the regulatory role of long noncoding RNA LINC00844 in CCA progression, explore the underlying molecular mechanisms, and to analyze the potential prognostic value of LINC00844 in CCA patients.

METHODS

Expression of LINC00844 in CCA cell lines and tissues was examined by reverse transcription-quantitative PCR. Cell counting kit-8 assay was used to assess CCA cell proliferation, and the Transwell assay was used to evaluate tumor cell migration and invasion. miRNAs sponged by LINC00844 were predicted and confirmed using a luciferase reporter assay. Kaplan-Meier survival analysis was performed to evaluate the survival prognosis of CCA patients.

RESULTS

The expression levels of LINC00844 were decreased in CCA tissues and cells. Overexpression of LINC00844 inhibited cell proliferation, migration and invasion in CCA cells. miR-19a-5p is directly targeted by LINC00844, mediating the inhibitory effects of LINC00844 on the proliferation, migration and invasion of CCA cells. LINC00844 and miR-19a-5p expression were associated with differentiation and tumor node metastasis stage in CCA patients. CCA patients with low LINC00844 expression or overexpression of miR-19a-5p had worse overall survival.

CONCLUSION

The expression levels of LINC00844 were decreased in both CCA tissues and cells, and high LINC00844 inhibited CCA cell proliferation, migration and invasion through sponging miR-19a-5p. Low LINC00844 and high miR-19a-5p expression were associated with worse overall survival in CCA patients. All the data suggested that the LINC00844/miR-19a-5p axis may provide novel therapeutic targets and prognostic biomarkers for CCA patients.

Seven oxidative stress-related genes predict the prognosis of hepatocellular carcinoma

Predicting the prognosis of hepatocellular carcinoma (HCC) is a major medical challenge and of guiding significance for treatment. This study explored the actual relevance of RNA expression in predicting HCC prognosis. Cox's multiple regression was used to establish a risk score staging classification and to predict the HCC patients' prognosis on the basis of data in the Cancer Genome Atlas (TCGA). We screened seven gene biomarkers related to the prognosis of HCC from the perspective of oxidative stress, including Alpha-Enolase 1(ENO1), N-myc downstream-regulated gene 1 (NDRG1), nucleophosmin (NPM1), metallothionein-3, H2A histone family member X, Thioredoxin reductase 1 (TXNRD1) and interleukin 33 (IL-33). Among them we measured the expression of ENO1, NGDP1, NPM1, TXNRD1 and IL-33 to investigate the reliability of the multi-index prediction. The first four markers' expressions increased successively in the paracellular tissues, the hepatocellular carcinoma samples (from patients with better prognosis) and the hepatocellular carcinoma samples (from patients with poor prognosis), while IL-33 showed the opposite trend. The seven genes increased the sensitivity and specificity of the predictive model, resulting in a significant increase in overall confidence. Compared with the patients with higher-risk scores, the survival rates with lower-risk scores are significantly increased. Risk score is more accurate in predicting the prognosis HCC patients than other clinical factors. In conclusion, we use the Cox regression model to identify seven oxidative stress-related genes, investigate the reliability of the multi-index prediction, and develop a risk staging model for predicting the prognosis of HCC patients and guiding precise treatment strategy.

Carcinogen-induced super-enhancer RNA promotes nasopharyngeal carcinoma metastasis through NPM1/c-Myc/NDRG1 axis

Chemical carcinogen is one etiology of nasopharyngeal carcinoma (NPC) occurrence, N,N'-Dinitrosopiperazine (DNP) has been verified to cause NPC cell metastasis and generate induced pluripotent stem cells (iPSCs). To investigate the oncogenic mechanism of DNP, NPC cells were exposed to DNP, and subjected to RNA-seq, GRO-seq, ChIP-seq, and data analysis. The results showed that the super-enhancer RNA (seRNA) participates in DNP-mediated NPC metastasis through regulating N-myc downstream regulated gene 1 (NDRG1). Mechanistically, DNP exposure upregulates the levels of NPC metastatic seRNA (seRNA-NPCm), seRNA-NPCm interacted with a special super-enhancer (SE) upstream of NDRG1 gene and bound to nucleophosmin (NPM1)/c-Myc complex at the NDRG1 promoter, resulting in an increase of NDRG1 transcription. Functional studies showed that DNP significantly increased the metastatic capability of NPC cells in vitro and in vivo. Knockdown of seRNA-NPCm in NPC cells impaired the capability of metastasis. Furthermore, stably overexpressing seRNA-NPCm significantly increased the metastatic ability of NPC cells, while restoration of NDRG1 levels in these cells restored their metastatic capacity. Finally, the immunohistochemistry and in situ hybridization analyses revealed that the expression of seRNA-NPCm in NPC patients is positively correlated with NDRG1, and the NDRG1 level independently predicts poor prognosis of NPC patients. Collectively, DNP induces seRNA-NPCm, and seRNA-NPCm promotes NPC metastasis through NPM1/c-Myc/NDRG1 axis.

A review on the role of NDRG1 in different cancers

NDRG1 is a member of the α/β hydrolase superfamily that resides in the cytoplasm and participates in the stress responses, hormone response, cell growth, and differentiation. Several studies have pointed to the importance of NDRG1 in the carcinogenesis. This gene has been found to be up-regulated in an array of cancer types such as bladder, esophageal squamous cell carcinoma, endometrial, lung and liver cancers, but being down-regulated in other types of cancers such as colorectal, gastric and ovarian cancers. The current study summarizes the evidence on the role of NDRG1 in the carcinogenic processes in different types of tissues.

A risk signature of necroptosis-related lncRNA to predict prognosis and probe molecular characteristics for male with bladder cancer

Bladder cancer (BC) is a frequently diagnosed cancer with high mortality. Male patients have a higher risk of developing BC than female patients. As a type of caspase-independent cell death, necroptosis plays a significant role in the occurrence and progression of BC. The aberrant function of long non-coding RNAs (lncRNAs) plays an indispensable role in GI. However, the relationship between lncRNA and necroptosis in male patients with BC remains unclear. The clinical information and RNA-sequencing profiles of all BC patients were retrieved from The Cancer Genome Atlas Program. A total of 300 male participants were selected for the study. We conducted to identify the necroptosis-related lncRNAs (NRLs) by Pearson correlation analysis. Subsequently, least absolute shrinkage and selection operator Cox regression were conducted to establish a risk signature with overall survival-related NRLs in the training set and to validate it in the testing set. Finally, we verified the effectiveness of the 15-NRLs signature in prognostic prediction and therapy via survival analysis, receiver operating characteristic curve analysis, and Cox regression. Furthermore, we analyzed the correlation between the signature risk score and pathway enrichment analysis, immune cell infiltration, anticancer drug sensitivity, and somatic gene mutations. We developed 15-NRLs (AC009974.1, AC140118.2, LINC00323, LINC02872, PCAT19, AC017104.1, AC134312.5, AC147067.2, AL139351.1, AL355922.1, LINC00844, AC069503.1, AP003721.1, DUBR, LINC02863) signature, and divided patients into a high-risk group and low-risk group through the median risk score. Kaplan-Meier and receiver operating characteristic curves showed that the prognosis prediction had satisfactory accuracy. Cox regression analysis indicated that the 15-NRLs signature was a risk factor independent of various clinical parameters. Additionally, immune cell infiltration, half-maximal inhibitory concentration, and somatic gene mutations differed significantly among different risk subsets, implying that the signature could assess the clinical efficacy of chemotherapy and immunotherapy. This 15-NRLs risk signature may be helpful in assessing the prognosis and molecular features of male patients with BC and improve treatment modalities, thus can be further applied clinically.

DNA Methylation Regulates a Set of Long Non-Coding RNAs Compromising Hepatic Identity during Hepatocarcinogenesis

Simple Summary

Hepatocarcinogenesis is a long process which implies the loss of hepatic functions. Our effort is to understand the mechanisms implicated in this pathological process in order to contribute to the development of new diagnostic markers and therapeutic targets. In this study we have identified a set of lncRNAs significantly downregulated in hepatocellular carcinoma (HCC) in correlation with the grade of tumor dedifferentiation and patients’ worse prognosis. Mechanistically, our results show that they are related with hepatic differentiation and at least a subset of those lncRNAs are essential to ensure the expression of other hepato-specific genes required for liver function. Moreover, we demonstrate that the expression of these lncRNAs in HCC is silenced by DNA methylation. All in all, we uncover connected epigenetic alterations involved in the progression of liver cancer and identify potential new biomarkers.

Abstract

Background: Long noncoding RNAs (lncRNAs) are emerging as key players in cancer, including hepatocellular carcinoma (HCC). Here we identify the mechanism implicated in the HCC inhibition of a set of lncRNAs, and their contribution to the process of hepatocarcinogenesis. Methods and Results: The top-ranked 35 lncRNAs downregulated in HCC (Top35 LNDH) were validated in several human HCC cohorts. We demonstrate that their inhibition is associated with promoter hypermethylation in HCC compared to control tissue, and in HCC human cell lines compared to primary hepatocytes. Moreover, demethylating treatment of HCC human cell lines induced the expression of these lncRNAs. The Top35 LNDH were preferentially expressed in the adult healthy liver compared to other tissues and fetal liver and were induced in well-differentiated HepaRG cells. Remarkably, their knockdown compromised the expression of other hepato-specific genes. Finally, the expression of the Top35 LNDH positively correlates with the grade of tumor differentiation and, more importantly, with a better patient prognosis. Conclusions: Our results demonstrate that the selected Top35 LNDH are not only part of the genes that compose the hepatic differentiated signature but participate in its establishment. Moreover, their downregulation through DNA methylation occurs during the process of hepatocarcinogenesis compromising hepatocellular differentiation and HCC patients’ prognosis.

Lipid droplets are beneficial for rabies virus replication by facilitating viral budding

Rabies is an old zoonotic disease caused by rabies virus (RABV), but the pathogenic mechanism of RABV is still not completely understood. Lipid droplets have been reported to play a role in pathogenesis of several viruses. However, its role on RABV infection remains unclear. Here, we initially found that RABV infection upregulated lipid droplet (LD) production in multiple cells and mouse brains. After the treatment of atorvastatin, a specific inhibitor of LD, RABV replication in N2a cells decreased. Then we found that RABV infection could upregulate N-myc downstream regulated gene-1 (NDRG1), which in turn enhance the expression of diacylglycerol acyltransferase 1/2 (DGAT1/2). DGAT1/2 could elevate cellular triglycerides synthesis and ultimately promote intracellular LD formation. Furthermore, we found that RABV-M and RABV-G, which were mainly involved in the viral budding process, could colocalize with LDs, indicating that RABV might utilize LDs as a carrier to facilitate viral budding and eventually increase virus production. Taken together, our study reveals that lipid droplets are beneficial for RABV replication and their biogenesis is regulated via NDRG1-DGAT1/2 pathway, which provides novel potential targets for developing anti-RABV drugs. IMPORTANCE Lipid droplets have been proven to play an important role in viral infections, but its role in RABV infection has not yet been elaborated. Here, we find that RABV infection upregulates the generation of LDs by enhancing the expression of N-myc downstream regulated gene-1 (NDRG1). Then NDRG1 elevated cellular triglycerides synthesis by increasing the activity of diacylglycerol acyltransferase 1/2 (DGAT1/2), which promotes the biogenesis of LDs. RABV-M and RABV-G, which are the major proteins involved in viral budding, could utilize LDs as a carrier and transport to cell membrane, resulting in enhanced virus budding. Our findings will extend the knowledge of lipid metabolism in RABV infection and help to explore potential therapeutic targets for RABV.

TPRG1-AS1 induces RBM24 expression and inhibits liver cancer progression by sponging miR-4691-5p and miR-3659

BACKGROUND & AIMS

Noncoding RNAs (ncRNAs) play critical roles in hepatocellular carcinoma (HCC) progression. Here, by performing RNA-sequencing (RNA-Seq) profiling, we sought to identify novel ncRNAs that potentially drive the heterogeneous progression of liver cancers.

METHODS

RNA-Seq profiles were obtained from 68 HCC specimens and 10 samples of adjacent non-tumour liver tissues. The functional significance of the potential driver ncRNAs was evaluated by cell experiments.

RESULTS

TPRG1-AS1 was identified as a potential driver noncoding RNA that promotes heterogeneous liver cancer progression. TPRG1-AS1 induced tumour suppressor RNA-binding motif protein 24 (RBM24), suppressing tumour growth by activating apoptotic tumour cell death. In addition, we report that TPRG1-AS1 acts as a competing endogenous RNA (ceRNA) for RBM24, sponging miR-4691-5p and miR-3659 to interfere with their binding to RBM24.

CONCLUSIONS

We suggest that TPRG1-AS1 is a novel ceRNA sponging miR-4691-5p and miR-3659, resulting in RBM24 expression and suppression of liver cancer growth. Our results provide new insights into the functions of ncRNAs in heterogeneous HCC progression.

Potential lncRNA Biomarkers for HBV-Related Hepatocellular Carcinoma Diagnosis Revealed by Analysis on Coexpression Network

Background

Increasing evidence demonstrated that long noncoding RNA (lncRNA) could affect inflammatory tumor immune microenvironment by modulating gene expression and could be used as a biomarker for HBC-related hepatocellular carcinoma (HCC) but still needs further research. The aim of the present study was to determine an lncRNA signature for the diagnosis of HBV-related HCC.

Methods

HBV-related HCC expression profiles (GSE55092, GSE19665, and GSE84402) were abstracted from the GEO (Gene Expression Omnibus) data resource, and R package limma and RobustRankAggreg were employed to identify common differentially expressed genes (DEGs). Using machine learning, optimal diagnostic lncRNA molecular markers for HBV-related HCC were identified. The expression of candidate lncRNAs was cross-validated in GSE121248, and an ROC (receiver operating characteristic) curve of lncRNA biomarkers was carried out. Additionally, a coexpression network and functional annotation was built, after which a PPI (protein-protein interaction) network along with module analysis were conducted with the Cytoscape open source software.

Result

A total of 38 DElncRNAs and 543 DEmRNAs were identified with a fold change larger than 2.0 and a P value < 0.05. By machine learning, AL356056.2, AL445524.1, TRIM52-AS1, AC093642.1, EHMT2-AS1, AC003991.1, AC008040.1, LINC00844, and LINC01018 were screened out as optional diagnostic lncRNA biosignatures for HBV-related HCC. The AUC (areas under the curve) of the SVM (support vector machine) model and random forest model were 0.957 and 0.904, respectively, and the specificity and sensitivity were 95.7 and 100% and 94.3 and 86.5%, respectively. The results of functional enrichment analysis showed that the integrated coexpressed DEmRNAs shared common cascades in the p53 signaling pathway, retinol metabolism, PI3K-Akt signaling cascade, and chemical carcinogenesis. The integrated DEmRNA PPI network complex was found to be comprised of 87 nodes, and two vital modules with a high degree were selected with the MCODE app.

Conclusion

The present study identified nine potential diagnostic biomarkers for HBV-related HCC, all of which could potentially modulated gene expression related to inflammatory conditions in the tumor immune microenvironment. The functional annotation of the target DEmRNAs yielded novel evidence in evaluating the precise functions of lncRNA in HBV-related HCC.

Identification of a Glycolysis-Related LncRNA Signature to Predict Survival in Diffuse Glioma Patients

Glycolysis refers to one of the critical phenotypes of tumor cells, regulating tumor cell phenotypes and generating sufficient energy for glioma cells. A range of noticeable genes [such as isocitrate dehydrogenase (IDH), phosphatase, and tensin homolog (PTEN), or Ras] overall impact cell proliferation, invasion, cell cycle, and metastasis through glycolysis. Moreover, long non-coding RNAs (LncRNAs) are increasingly critical to disease progression. Accordingly, this study aimed to identify whether glycolysis-related LncRNAs have potential prognostic value for glioma patients. First, co-expression network between glycolysis-related protein-coding RNAs and LncRNAs was established according to Pearson correlation (Filter: |r| > 0.5 & P < 0.001). Furthermore, based on univariate Cox regression, the Least Absolute Shrinkage and Selection Operator (LASSO) analysis and multivariate Cox regression, a predictive model were built; vital glycolysis-related LncRNAs were identified; the risk score of every single patient was calculated. Moreover, receiver operating characteristic (ROC) curve analysis, gene set enrichment analysis (GSEA), GO and KEGG enrichment analysis were performed to assess the effect of risk score among glioma patients. 685 cases (including RNA sequences and clinical information) from two different cohorts of the Chinese Glioma Genome Atlas (CGGA) database were acquired. Based on the mentioned methods, the risk score calculation formula was yielded as follows: Risk score = (0.19 × EXP_FOXD2-AS1) + (−0.27 × EXP_AC062021.1) + (−0.16 × EXP_AF131216.5) + (−0.05 × EXP_LINC00844) + (0.11 × EXP_CRNDE) + (0.35 × EXP_LINC00665). The risk score was independently related to prognosis, and every single mentioned LncRNAs was significantly related to the overall survival of patients. Moreover, functional enrichment analysis indicated that the biologic process of the high-risk score was mainly involved in the cell cycle and DNA replication signaling pathway. This study confirmed that glycolysis-related LncRNAs significantly impact poor prognosis and short overall survival and may act as therapeutic targets in the future.

An integrated analysis of enhancer RNAs in glioma and a validation of their prognostic values

Glioma, a highly aggressive neuroepithelial malignant brain tumor, is associated with high disability and recurrence rates. Enhancer RNA (eRNA) plays a significant role in tumor proliferation and metastasis; however, their functions in gliomas need further evaluation. We used the computational pipeline, PreSTIGE, to predict tissue-specific enhancer-derived RNAs and the underlying regulatory genes. Using data retrieved from the TCGA and CGGA databases, a LASSO regression analysis and multiCox proportional hazards regression analyses were performed to determine the hub eRNAs associated with glioma prognosis. Quantitative reverse transcription PCR was performed on the glioma samples to evaluate the expression characteristics of the identified hub eRNAs. To construct a risk signature, we selected three eRNAs, including CRNDE, MRPS31P5, and LINC00844, for their significant prognostic values. The predictive value of the risk signature was validated using the CGGA and Rembrandt cohorts. Apart from the risk signature, the nomogram performed well at predicting OS in glioma patients. An eRNA-target gene regulatory network was established, which we evaluated using a target gene enrichment analysis. Pathway and gene ontology (GO) analyses demonstrated that the risk signature is associated with mRNA processing and spliceosome in glioma. Furthermore, we found that hub eRNAs potentially regulate the expressions of numerous splicing factors, such as MOV10 and SEC31B, and are correlated with prognosis-associated alteration splicing (AS). In conclusion, we established a risk signature that comprises three eRNAs, which can accurately be utilized as targets to predict prognosis in glioma patients.

Long intergenic noncoding RNA 00844 promotes apoptosis and represses proliferation of prostate cancer cells through upregulating GSTP1 by recruiting EBF1

Accumulating evidence have suggested the function of long noncoding RNAs as crucial players in the pathogenesis of prostate cancer (PC), a urologic tumor in male with poor prognosis. This study was designed to explore the functions of long intergenic noncoding RNA 00844 (LINC00844) in PC progression. The expression of LINC00844 and glutathione S-transferase P1-1 (GSTP1) was detected by reverse transcription quantitative polymerase chain reaction, followed by the identification of the relationship among LINC00844, GSTP1, and early B cell factor 1 (EBF1) by dual luciferase reporter gene assay, RNA immunoprecipitation assay, electrophoretic mobility shift assay, and chromatin immunoprecipitation assay. Using loss- and gain-of-function assays, the effects of LINC00844, GSTP1, and EBF1 on the biological characteristics of PC cells were assessed by cell counting kit-8 assay, 5-ethynyl-2'-deoxyuridine assay, and flow cytometry. Lastly, the results from in vitro experiments were verified in vivo by establishing a xenograft tumor model in nude mice. LINC00844 and GSTP1 both displayed low expression in PC tissues and cells. LINC00844 positively regulated the expression of GSTP1 via recruiting EBF1. Overexpression of LINC00844 reduced proliferation and elevated apoptosis of PC cells through recruiting EBF1, which subsequently upregulated GSTP1. In vivo experiments confirmed that LINC00844 or GSTP1 upregulation attenuated tumor growth. LINC00844 elevated GSTP1 expression by recruiting EBF1 to the promoter region of GSTP1, thereby suppressing PC progression. Hence, LINC00844 is a novel therapeutic target for the development of new treatment protocols for PC.