Long noncoding RNA DLGAP1-AS1 promotes the progression of glioma by regulating the miR-1297/EZH2 axis

TBX15 facilitates malignant progression of glioma by transcriptional activation of TXDNC5

T-box transcription factor 15 (TBX15) plays important role in various cancers; however, its expression and role in glioma is still unclear. In this study, our findings indicated that TBX15 was increased in gliomas compared to normal brain tissues, and high levels of TBX15 were related to poor survival. Furthermore, TBX15 silencing in glioma cells not only inhibited their proliferation, migration, and invasion in vitro, but also weakened their ability to recruit macrophages and polarize the latter to the M2 subtype. Mechanism study indicated that thioredoxin domain containing 5 (TXNDC5) lies downstream of TBX15. Furthermore, rescue assays verified that the role of TBX15 in glioma cells is dependent on TXNDC5. Moreover, sh-TBX15 loaded into DNA origami nanocarrier suppressed the malignant phenotype of glioma in vitro and in vivo. Taken together, the TBX15/TXNDC5 axis is involved in the genesis and progression of glioma, and is a potential therapeutic target.

HCG11 inhibits salivary adenoid cystic carcinoma by upregulating EphA2 via binding to miR-1297

OBJECTIVE

Ephrin receptor A2 (EphA2) was reported to be related to the tumorigenesis of salivary adenoid cystic carcinoma (SACC), which is a rare malignancy accounting for less than 1% of all oral and maxillofacial tumors. This research aimed to assess the molecular mechanisms of EphA2 in SACC.

STUDY DESIGN

The expression of long non-coding RNA human leukocyte antigen complex group 11 (HCG11), microRNA-1297 (miR-1297), and EphA2 in SACC cell lines compared with normal human salivary gland (HSG) cell line was measured by reverse transcription-quantitative polymerase chain reaction. EphA2 protein level was detected by western blot. 5-ethynyl-2'-deoxyuridine (EdU), colony formation, Transwell, and wounding healing experiments were applied to evaluate SACC cell proliferation, migration, and invasion. The relationship among HCG11, miR-1297, and EphA2 was confirmed by luciferase reporter, RNA pulldown, and RNA immunoprecipitation experiments.

RESULTS

HCG11 and EphA2 were downregulated while miR-1297 was upregulated in SACC cells. EphA2 overexpression suppressed SACC cell proliferation, migration, and invasion. HCG11 bound to miR-1297 to reduce the inhibition of miR-1297 on EphA2 expression. EphA2 knockdown reversed the suppression of HCG11 overexpression on SACC cell phenotypes.

CONCLUSION

This study identified the HCG11/miR-1297/EphA2 regulatory axis in SACC, which might provide novel therapeutic targets for SACC.

Prognosis and Novel Drug Targets for Key lncRNAs of Epigenetic Modification in Colorectal Cancer

Background

Colorectal cancer (CRC) has been the 3rd most commonly malignant tumor of the gastrointestinal tract in the world. 5-Methylcytosine (m⁵C) and long noncoding RNAs (lncRNAs) have an essential role in predicting the prognosis and immune response for CRC patients. Therefore, we built a m⁵C-related lncRNA (m⁵CRlncRNA) model to investigate the prognosis and treatment methods for CRC patients.

Methods

Firstly, we secured the transcriptome and clinical data for CRC from The Cancer Genome Atlas (TCGA). Then, m⁵CRlncRNAs were recognized by coexpression analysis. Then, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses were utilized to build m⁵C-related prognostic characteristics. Besides, Kaplan-Meier analysis, ROC, PCA, C-index, enrichment analysis, and nomogram were performed to investigate the model. Additionally, immunotherapy responses and antitumor medicines were explored for CRC patients.

Results

A total of 8 m⁵C-related lncRNAs (AC093157.1, LINC00513, AC025171.4, AC090948.2, ZEB1-AS1, AC109449.1, AC009041.3, and LINC02516) were adopted to construct a risk model to investigate survival and prognosis for CRC patients. CRC samples were separated into low- and high-risk groups, with the latter having a worse prognosis. The m⁵C-related lncRNA model helps us to better distinguish immunotherapy responses and IC50 of antitumor medicines in different groups of CRC patients.

Conclusion

The research may give new perspectives on tailored therapy approaches as well as novel theories for forecasting the prognosis of CRC patients.

Bioinformatics analysis of long non-coding RNA-associated competing endogenous RNA network in schizophrenia

Schizophrenia (SCZ) is a serious psychiatric condition with a 1% lifetime risk. SCZ is one of the top ten global causes of disabilities. Despite numerous attempts to understand the function of genetic factors in SCZ development, genetic components in SCZ pathophysiology remain unknown. The competing endogenous RNA (ceRNA) network has been demonstrated to be involved in the development of many kinds of diseases. The ceRNA hypothesis states that cross-talks between coding and non-coding RNAs, including long non-coding RNAs (lncRNAs), via miRNA complementary sequences known as miRNA response elements, creates a large regulatory network across the transcriptome. In the present study, we developed a lncRNA-related ceRNA network to elucidate molecular regulatory mechanisms involved in SCZ. Microarray datasets associated with brain regions (GSE53987) and lymphoblasts (LBs) derived from peripheral blood (sample set B from GSE73129) of SCZ patients and control subjects containing information about both mRNAs and lncRNAs were downloaded from the Gene Expression Omnibus database. The GSE53987 comprised 48 brain samples taken from SCZ patients (15 HPC: hippocampus, 15 BA46: Brodmann area 46, 18 STR: striatum) and 55 brain samples taken from control subjects (18 HPC, 19 BA46, 18 STR). The sample set B of GSE73129 comprised 30 LB samples (15 patients with SCZ and 15 controls). Differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) were identified using the limma package of the R software. Using DIANA-LncBase, Human MicroRNA Disease Database (HMDD), and miRTarBase, the lncRNA- associated ceRNA network was generated. Pathway enrichment of DEmRNAs was performed using the Enrichr tool. We developed a protein-protein interaction network of DEmRNAs and identified the top five hub genes by the use of STRING and Cytoscape, respectively. Eventually, the hub genes, DElncRNAs, and predictive miRNAs were chosen to reconstruct the subceRNA networks. Our bioinformatics analysis showed that twelve key DEmRNAs, including BDNF, VEGFA, FGF2, FOS, CD44, SOX2, NRAS, SPARC, ZFP36, FGG, ELAVL1, and STARD13, participate in the ceRNA network in SCZ. We also identified DLX6-AS1, NEAT1, MINCR, LINC01094, DLGAP1-AS1, BABAM2-AS1, PAX8-AS1, ZFHX4-AS1, XIST, and MALAT1 as key DElncRNAs regulating the genes mentioned above. Furthermore, expression of 15 DEmRNAs (e.g., ADM and HLA-DRB1) and one DElncRNA (XIST) were changed in both the brain and LB, suggesting that they could be regarded as candidates for future biomarker studies. The study indicated that ceRNAs could be research candidates for investigating SCZ molecular pathways.

Identification of pyroptosis-related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer

The inflammasome-dependent cell death, which is denoted as pyroptosis, might be abnormally regulated during oncogenesis and tumour progression. Long non-coding RNAs (LncRNAs) are pivotal orchestrators in breast cancer (BC), which have the potential to be a biomarker for BC diagnosis and therapy. The present study aims to explore the correlation between pyroptosis-related lncRNAs and BC prognosis. In this study, a profile of 8 differentially expressed lncRNAs was screened in the TCGA database and used to construct a prognostic model. The BC patients were divided into high- and low-risk groups dependent on the median cutoff of the risk score in the model. Interestingly, the risk model significantly distinguished the clinical characteristics of BC patients between high- and low-risk groups. Then, the risk score of the model was identified to be an excellent independent prognostic factor. Notably, the GO, KEGG, GSEA and ssGSEA analyses revealed the different immune statuses between the high- and low-risk groups. Particularly, the 8 lncRNAs expressed differentially in BC tissues between two risk subgroups in vitro validation. Collectively, this constructed well-validated model is of high effectiveness to predict the prognosis of BC, which will provide novel means that is applicable for BC prognosis recognition.

LncRNA CDKN2B-AS1 contributes to glioma development by regulating the miR-199a-5p/DDR1 axis

BACKGROUND

Although cyclin-dependent kinase inhibitor 2B antisense RNA 1 (CDKN2B-AS1) is upregulated in glioma, its function and potential mechanism in glioma remain unclear.

METHODS

CDKN2B-AS1 level in glioma tissues and cell lines LN229, U251, and U87 was measured by qRT-PCR. Loss-of-function assays using short hairpin RNA for CDKN2B-AS1 (sh-CDKN2B-AS1) were performed to evaluate the effect of CDKN2B-AS1 on cell invasion, migration, proliferation, and apoptosis. The relationship among CDKN2B-AS1, miR-199a-5p, and DDR1 was determined by bioinformatics analysis and luciferase reporter assay. Rescue experiments were conducted to explore the function of CDKN2B-AS1 and miR-199a-5p in glioma. An in vivo animal model of lentivirally transduced U87 glioma xenografts in mice was established to confirm the role of CDKN2B-AS1.

RESULTS

CDKN2B-AS1 is significantly upregulated in glioma tissues and cell lines. CDKN2B-AS1 knockdown significantly inhibits cell proliferation, invasion, and migration, while promoting apoptosis of glioma cell lines U251 and U87. Further, a miR-199a-5p inhibitor attenuates the inhibitory effects of sh-CDKN2B-AS1 on these cell phenotypes. CDKN2B-AS1 positively regulates DDR1 expression by directly sponging miR-199a-5p. Moreover, CDKN2B-AS1 knockdown efficiently inhibits U87 tumor xenograft growth in mice.

CONCLUSION

Our study reveals that CDKN2B-AS1 promotes glioma development by regulating the miR-199a-5p/DDR1 axis, suggesting that this lncRNA might be a potential therapeutic target.