Oncogenicity of lncRNA FOXD2-AS1 and its molecular mechanisms in human cancers

Upregulation of lnc-FOXD2-AS1, CDC45, and CDK1 in patients with primary non-M3 AML is associated with a worse prognosis

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy with an unfavorable outcome. The present research aimed to identify novel biological targets for AML diagnosis and treatment. In this study, we performed an in-silico method to identify antisense RNAs (AS-RNAs) and their related co-expression genes. GSE68172 was selected from the AML database of the Gene Expression Omnibus and compared using the GEO2R tool to find DEGs. Antisense RNAs were selected from all the genes that had significant expression and a survival plot was drawn for them in the GEPIA database, FOXD2-AS1 was chosen for further investigation based on predetermined criteria (logFC ≥|1| and P < 0.05) and its noteworthy association between elevated expression level and a marked reduction in the overall survival (OS) in patients diagnosed with AML. The GEPIA database was utilized to investigate FOXD2-AS1-related co-expression and similar genes. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene ontology (GO) function analysis of the mentioned gene lists were performed using the DAVID database. The protein-protein interaction (PPI) network was then constructed using the STRING database. Hub genes were screened using Cytoscape software. Pearson correlation analysis was conducted using the GEPIA database to explore the relationship between FOXD2-AS1 and the hub genes. The transcription of the selected coding and non-coding genes, including FOXD2-AS1, CDC45, CDC20, CDK1, and CCNB1, was validated in 150 samples, including 100 primary AML non-M3 blood samples and 50 granulocyte colony stimulating factor (G-CSF)-mobilized healthy donors, using quantitative Real-Time PCR (qRT-PCR). qRT-PCR results displayed significant upregulation of lnc-FOXD2-AS1, CDC45, and CDK1 in primary AML non-M3 blood samples compared to healthy blood samples (P = 0.0032, P = 0.0078, and P = 0.0117, respectively). The expression levels of CDC20 and CCNB1 were not statistically different between the two sets of samples (P = 0.8315 and P = 0.2788, respectively). We identified that AML patients with upregulation of FOXD2-AS1, CDK1, and CDC45 had shorter overall survival (OS) and Relapse-free survival (RFS) compared those with low expression of FOXD2-AS1, CDK1, and CDC45. Furthermore, the receiver operating characteristic (ROC) curve showed the potential biomarkers of lnc -FOXD2-AS1, CDC45, and CDK1 in primary AML non-M3 blood samples. This research proposed that the dysregulation of lnc-FOXD2-AS1, CDC45, and CDK1 can contribute to both disease state and diagnosis as well as treatment. The present study proposes the future evolution of the functional role of lnc-FOXD2-AS1, CDC45, and CDK1 in AML development.

A review on the role of FOXD2-AS1 in human disorders

FOXD2 adjacent opposite strand RNA 1 (FOXD2-AS1) is a long non-coding RNA being transcribed from a locus on chromosome 1p33. This transcript has been found to be up-regulated in tumor samples of almost all types of malignancies in association with a significant increase in malignant features. FOXD2-AS1 can affect activity of PI3K/AKT, AKT/mTOR, Hippo/YAP, Notch, NRf2, Wnt/β-catenin, NF-ƙB and ERK/MAPK pathways. Furthermore, it can enhance stem cell properties in cancer cells and prompt epithelial-mesenchymal transition. It is also involved in induction of resistance to a variety of anticancer agents such as adriamycin, cisplatin, 5-fluorouracil, temozolomide and gemcitabine. This article summarizes the impact of FOXD2-AS1 in diverse human disorders.

A novel PANoptosis-related long non-coding RNA index to predict prognosis, immune microenvironment and personalised treatment in hepatocellular carcinoma

BACKGROUND

PANoptosis is involved in the interaction of apoptosis, necroptosis and pyroptosis, playing a role in programmed cell death. Moreover, long non-coding RNAs (lncRNAs) regulate the PCD. This work aims to explore the role of PANoptosis-associated lncRNAs in hepatocellular carcinoma (HCC).

METHODS

Co-expression analysis identified PANoptosis-associated lncRNAs in HCC. Cox and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms were utilised to filter lncRNAs and establish a PANoptosis-related lncRNA index (PANRI). Additionally, Cox, Kaplan-Meier and receiver operating characteristic (ROC) curves were utilised to systematically evaluate the PANRI. Furthermore, Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE), single sample gene set enrichment analysis (ssGSEA) and immune checkpoints were performed to analyse the potential of the PANRI in differentiating different tumour immune microenvironment (TIME) populations. The consensus clustering algorithm was used to distinguish individuals with HCC having different TIME subtypes. Finally, HCC cell lines HepG2 were utilised for further validation in in vitro experiments.

RESULTS

The PANRI differentiates patients according to risk. Notably, ESTIMATE and ssGSEA algorithms revealed a high immune infiltration status in high-risk patients. Additionally, consensus clustering divided the patients into three clusters to identify different subtypes of TIME. Moreover, in vitro results showed that siRNA-mediated silencing of AL049840.4 inhibited the viability and migration of HepG2 cells and promoted apoptosis.

CONCLUSIONS

This is the first PANoptosis-related, lncRNA-based risk index in HCC to assess patient prognosis, TIME and response to immunotherapy. This study offers novel perspectives on the role of PANoptosis-associated lncRNAs in HCC.

MiR-4492, a New Potential MicroRNA for Cancer Diagnosis and Treatment: A Mini Review

There is no doubt that the incidence of cancer sufferers is rising in the world, and it is estimated that in the next several decades, the number of people suffering from malignancies or the cancer rate will double. Diagnostic and therapeutic targeting of noncoding RNAs (ncRNAs), especially microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), represent an excellent approach for cancer diagnosis and treatment, as well as many other diseases. One of the latest miRNAs is miR-4492, upregulating some genes in tumor tissues including ROMO1, HLA-G, NKIRAS2, FOXK1, and UBE2C. It represents an attractant example of a miRNA acting at multiple levels to affect the same malignancy hallmark. Based on the studies, miR-4492 plays a key role in several cancers such as, breast cancer, bladder cancer, osteosarcoma, glioblastoma multiforme, hepatocellular carcinoma, colorectal cancer, and ovarian cancer. Putting it all together, identifying the precise mechanisms of miR-4492 in the pathogenesis of cancer, could pave the way to find better diagnostic and therapeutic strategies for cancer sufferers. For this reason, it might be a novel potential diagnostic biomarker and therapeutic target for neoplasms.

Non-coding RNAs involved in fibroblast-like synoviocyte functioning in arthritis rheumatoid: From pathogenesis to therapy

Rheumatoid arthritis (RA) is a polygenic autoimmune disorder with an uncertain etiology, primarily impacting the joints. Moreover, the disease may manifest beyond articular involvement, leading to extra-articular manifestations. Fibroblast-like synoviocytes (FLS) are cells of mesenchymal origin that possess crucial physiological significance within the synovium, contributing to the synthesis of specific constituents found in the synovial fluid and articular cartilage. Consequently, there has been a growing focus on FLS as a potential therapeutic target in the context of RA. Recent investigations have revealed that non-coding RNAs (ncRNAs) serve as pivotal regulators of FLS function, with their dysregulated expression patterns being detected within FLS populations. NcRNAs, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), assume essential functions as regulators of gene expression at both the post-transcriptional and transcriptional levels, and also serve as guiding molecules for chromatin-modifying complexes. Majority of these ncRNAs contribute to various FLS activities including metastasis, proliferation, and cytokine production. In the current work, we comprehensively review the existing literature on ncRNAs, which play pivotal roles in FLS activity and the pathogenesis of RA. Furthermore, this study provides a comprehensive summary and description of the lncRNA/circRNA-miRNA-mRNA regulatory axes in FLS activity, along with potential implications for the RA development. As well, in the final section, we illustrated that therapeutic agents including herbal medicine, and exosomes by modulating ncRNAs regulate FLS activity.

Emerging roles of noncoding RNAs in human cancers

Studies have found that RNA encoding proteins only account for a small part of the total number, most RNA is non-coding RNA, and non-coding RNA may affect the occurrence and development of human cancers by affecting gene expression, therefore play an important role in human pathology. At present, ncRNAs studied include miRNA, circRNA, lncRNA, piRNA, and snoRNA, etc. After decades of research, the basic role of these ncRNAs in many cancers has been clear. As far as we know, the role of miRNAs in cancer is one of the hottest research directions, however, it is also found that the imbalance of ncRNAs will affect the occurrence of gastric cancer, breast cancer, lung cancer, meanwhile, it may also affect the prognosis of these cancers. Therefore, the study of ncRNAs in cancers may help to find new cancer diagnostic and treatment methods. Here, we reviewed the biosynthesis and characteristics of miRNA, cricRNA, and lncRNA etc., their roles in human cancers, as well as the mechanism through which these ncRNAs affect human cancers.

LncRNA FOXD2-AS1 Increased Proliferation and Invasion of Lung Adenocarcinoma via Cell-Cycle Regulation

Background

Long non-coding RNA FOXD2 antisense RNA 1 (FOXD2-AS1) has been reported in many malignancies. However, the molecular mechanism of many actions is not clarified. This study was conducted to investigate the function of FOXD2-AS1 in lung adenocarcinoma and its molecular mechanism.

Methods

Bioinformatics and in vitro analysis including RT-qPCR, CFU, CCK8, Transwell, Cell Apoptosis and Cell Cycle Assay were used for the analysis of gene expression and related effects.

Results

It revealed increased expression of lncRNA FOXD2-AS1 in lung adenocarcinoma cell lines (A549 cells), and abundant expression of lncRNA FOXD2-AS1 was also observed in the acquired lung adenocarcinoma tissues. In vitro results showed that knockdown of lncRNA FOXD2-AS1 in A549 cells weakened cell proliferation, invasion and increased apoptosis. At the same time, we found that reducing the expression of lncRNA FOXD2-AS1 caused cell cycle arrest in the G1/S phase. Differential gene analysis of lung adenocarcinoma and adjacent normal tissues showed that the cell cycle and its related process regulation were significantly enriched. Gene Set Enrichment Analysis (GSEA) analysis showed that miR-206, miR-143, lL6-JAK-STAT3 signalling pathway, STAT3, E2F targets, EZH2, P53 signalling pathway and E2F3 targets interacting with lncRNA FOXD2-AS1 were also enriched.

Conclusion

This study demonstrates the role and mechanism of the lncRNA FOXD2-AS1 in lung adenocarcinoma and provides a better understanding for the treatment of lung adenocarcinoma, which indicates that interfering with lncRNA FOXD2-AS1 expression may be a novel strategy.

Identification of pyroptosis-related genes and long non-coding RNAs signatures in osteosarcoma

Osteosarcoma is a highly malignant tumor, with very high disability and fatality rates. However, the overall prognosis is not optimistic. Pyroptosis is a newly discovered cell death modality accompanied by inflammation, which is closely related to varieties of cancers. In this study, the RNA-seq data were downloaded from public databases, the differences in the expression of the pyroptosis-related genes (PRGs) were identified, and the six PRGs signature was established through the univariate and LASSO Cox analysis. The patients were grouped according to the PRGs signature, and the prognosis between the two groups was further compared. In addition, a ten pyroptosis-related lncRNAs (PRLs) prognostic signature was also constructed. Through functional analysis of the differentially expressed genes (DEGs), the immune-related pathways were found to be enriched. The Pearson correlation analysis showed a strong correlation between the pyroptosis-related biomarkers. Finally, we identified a promising biomarker, CHMP4C, which is highly expressed in osteosarcoma. Overexpression of CHMP4C promoted the proliferation, migration and invasion of the osteosarcoma cell. Our results thus provide new evidence for exploring prognostic biomarkers and therapeutic targets of osteosarcoma.

Downregulation of lncRNA FOXD2-AS1 Confers Radiosensitivity to Gastric Cancer Cells via miR-1913/SETD1A Axis

Long noncoding RNA FOXD2 adjacent opposite strand RNA1 (FOXD2-AS1) plays an oncogenic role in various cancers, including gastric cancer (GC). However, the function of FOXD2-AS1 in regulating radiosensitivity of GC cells and its underlying molecular mechanisms have not been elucidated. This study aimed to figure out the potential mechanisms of FOXD2-AS1 in regulating GC cell radiosensitivity. RT-qPCR revealed upregulation of FOXD2-AS1 in GC cells exposed to radiation. Subcellular fractionation assay was used to localize FOXD2-AS1 in GC cells. Colony formation, MTT, EdU, and flow cytometry assays were performed to investigate the role of FOXD2-AS1 in regulating cell proliferation, cell cycle progression, and cell apoptosis. Western blotting was used to assess protein levels of apoptosis-associated markers and SET domain containing 1A (SETD1A). Homologous recombination reporter assay was conducted to explore the effect of FOXD2-AS1 on DNA damage repair. The downstream molecules of FOXD2-AS1 were identified with RNA pulldown, luciferase reporter, and RNA immunoprecipitation assays. The results showed that FOXD2-AS1 knockdown suppressed cell proliferation and cell cycle progression and promoted cell apoptosis and radiosensitivity of GC. FOXD2-AS1 could bind with miR-1913 in GC cells. In addition, miR-1913 targeted SETD1A, which was highly expressed in GC cells. Overexpression of SETD1A reversed FOXD2-AS1 silencing-induced effects on proliferation, apoptosis, and radiosensitivity of GC cells. In conclusion, knocking down FOXD2-AS1 enhances the radiosensitivity of GC cells by sponging miR-1913 to upregulate SETD1A expression.

SOX9/MKLN1-AS Axis Induces Hepatocellular Carcinoma Proliferation and Epithelial-Mesenchymal Transition

SOX9, as a transcript factor, has been confirmed to boost proliferation and epithelial-mesenchymal transition (EMT) of hepatocellular carcinoma (HCC), but the underlying mechanism remains incompletely elucidated. A bioinformatics analysis web, Jaspar, manifested that SOX9 can transcriptionally regulate an lncRNA, MKLN1-AS. To determine the role of MKLN1-AS in HCC, this study measured MKLN1-AS expression in HCC and the paracancerous tissues and conducted a series of assays, including MTT, colony formation, and transwell assays, in vitro. EMT of HCC was evaluated by E-cadherin and vimentin protein levels. The regulatory effect of SOX9 on MKLN1-AS was determined using dual luciferase reporter and ChIP assays. Both MKLN1-AS and SOX9 were up-regulated in HCC tissues compared to paracancerous tissues. SOX9 promoted cell viability, proliferation, invasion, and EMT of HCCs, but these promoting effects of SOX9 were attenuated after the knockdown of MKLN1-AS. Overexpression of SOX9 increased MKLN1-AS in HCCs, whereas silencing SOX9 decreased MKLN1-AS expression. According to dual luciferase reporter and ChIP assays, SOX9 can bind to the promoter of MKLN1-AS gene to stimulate the expression. MKLN1-AS is transcriptionally regulated by SOX9 and mediates the effects of SOX9 on the proliferation and EMT of HCCs.

Growth arrest-specific 5 lncRNA as a valuable biomarker of chemoresistance in osteosarcoma

Osteosarcoma is the most common primary malignant bone tumour in children and teenagers, and it is characterised by drug resistance and high metastatic potential. Increasing studies have highlighted the critical roles of long noncoding RNAs (lncRNAs) as oncogenes or tumour suppressors as well as new biomarkers and therapeutic targets in osteosarcoma. The growth arrestspecific 5 (GAS5) lncRNA can function as a tumour suppressor in several cancers. The present study aimed to validate GAS5 and other chemoresistanceassociated lncRNAs as biomarkers in a cohort of primary osteosarcoma samples, to obtain predictive information on resistance or sensitivity to treatment. The GAS5 and a panel of lncRNAs related to chemoresistance [SNGH1, FOXD2-AS1, deleted in lymphocytic leukemia (DLEU2) and LINC00963] were evaluated in a cohort of osteosarcoma patients enrolled at the Careggi University Hospital. Total RNA was extracted from formalin-fixed paraffin-embedded (FFPE) tissue sections and the expression levels of the lncRNAs were quantified by qPCR. A bioinformatic analysis on deposited RNA-seq data was performed to validate the qPCR results. Clustering analysis shows that GAS5 could be linked to the expression of isoforms 02 and 04 of the lncRNA DLEU2, whereas the DLEU2 isoform 08 is linked to the lncRNA LINC00963. We found that GAS5 is significantly increased in patients with a good prognosis and is expressed differently between chemosensitive and chemoresistant osteosarcoma patients. However, the results obtained are not concordant with the in-silico analysis performed on the TARGET osteosarcoma dataset. In the future, we would enlarge the case series, including different disease settings.

Identification and in vitro validation of prognostic lncRNA signature in head and neck squamous cell carcinoma

Long non-coding RNAs (lncRNAs) are promising cancer prognostic markers. However, the clinical significance of lncRNA signatures in evaluating overall survival (OS) outcomes of head and neck squamous cell carcinoma (HNSCC) has not been explored. This study aimed to assess the significance of lncRNA in HNSCC and to develop a lncRNA signature related to OS in HNSCC. LncRNA expression matrices were retrieved from the Cancer Genome Atlas (TCGA) data. Least Absolute Shrinkage and Selection of the Operator (LASSO), univariate and multivariate Cox regression were used for establishing a prognostic model. In vitro experiments were carried out to demonstrate the biological role of lncRNA. A prognosis model based on 7 DElncRNAs was finally established.The patients were then divided into high-risk and low-risk groups. Relative to the low-risk group, overall survival times for patients in the high-risk group were significantly low (P=2.466e−07). Risk score remained an independent prognostic factor in univariate (HR=1.329, 95%CI=1.239−1.425, p < 0.001) and multivariate (HR=1.279, 95%CI=1.184−1.382, p < 0.001) Cox regression analyses. The area under the curve (AUC) of the signature was as high as 0.78. Expressions of FOXD2-AS1  in tumor tissues were elevated, and significantly correlated with OS (P=0.008). FOXD2-AS1 silencing then significantly reduced HNSCC cell proliferation, invasion, and migration. In conclusion, a lncRNA signature was established for HNSCC prognostic prediction and FOXD2-AS1 was identified as an HNSCC oncogene.

Moderate Prognostic Value of lncRNA FOXD2-AS1 in Gastric Cancer with Helicobacter pylori Infection

PURPOSE

Gastric cancer (GC) is one of the most frequent tumors worldwide and identification of a sensitive and specific prognostic biomarker is of great importance. Long non-coding RNAs (lncRNAs) play crucial roles in tumorigenesis of various malignancies. In the present study, we investigated lncRNA FOXD2-AS1 expression in gastric tumors and assessed its potential as a prognostic biomarker.

METHODS

A total of 95 tumor and corresponding adjacent non-tumor tissue specimens were collected from patients with GC from Imam Reza hospital, Tabriz, Iran. Total RNA was isolated and FOXD2-AS1 expression was measured using quantitative reverse transcriptase (qRT)-PCR.

RESULTS

FOXD2-AS1 was significantly upregulated in tumor samples as compared to non-tumor tissues (P < 0.0001). In addition, higher expression of FOXD2-AS1 was significantly associated with lymph node metastasis and Helicobacter pylori infection. The receiver operating characteristic (ROC) curve analysis revealed that FOXD2-AS1 might be served as a potential prognostic biomarker for GC.

CONCLUSION

FOXD2-AS1 is upregulated in gastric tumors and can be used as a valuable biomarker in the prognosis of patients with GC.

LncRNA MSC-AS1 motivates the development of melanoma by binding to miR-302a-3p and recruiting IGF2BP2 to elevate LEF1 expression

Melanoma is considered as the most common malignancy among skin cancers. The roles of many long non-coding RNAs (lncRNAs) have been clearly identified in multiple tumors. Nevertheless, lncRNA MSC antisense RNA 1 (MSC-AS1) has not been deeply investigated melanoma. In the present study, RT-qPCR and western blot analyses were used to measure the expression of RNAs and proteins. Functional and in vivo assays were implemented to detect the function of genes in melanoma. RNA pull-down, RIP and luciferase reporter assays were applied for determining interactions between RNA and protein molecules. It was observed that MSC-AS1 and lymphoid enhancer-binding factor 1 (LEF1) were remarkably up-regulated while microRNA-302a-3p (miR-302a-3p) down-regulated in melanoma cell lines. The silencing of MSC-AS1 hindered cell proliferation, migration and epithelial-mesenchymal transition (EMT) in vitro and tumor growth in vivo. Furthermore, MSC-AS1 regulated LEF1 expression through sponging miR-302a-3p and recruiting insulin like growth factor 2 mRNA-binding protein 2 (IGF2BP2). Eventually, LEF1 overexpression rescued cell progression impaired by MSC-AS1 knock-down. In summary, our research identified the MSC-AS1/miR-302a-3p/IGF2BP2/LEF1 axis in melanoma development, which indicated that MSC-AS1 is a potential biomarker in the treatment of melanoma.

Identification of diagnostic and prognostic lncRNA biomarkers in oral squamous carcinoma by integrated analysis and machine learning

BACKGROUND

Patients with oral squamous carcinoma (OSCC) present difficulty in precise diagnosis and poor prognosis.

OBJECTIVE

We aimed to identify the diagnostic and prognostic indicators in OSCC and provide basis for molecular mechanism investigation of OSCC.

METHODS

We collected sequencing data and clinical data from TCGA database and screened the differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) in OSCC. Machine learning and modeling were performed to identify the optimal diagnostic markers. In order to determine lncRNAs with prognostic value, survival analysis was performed through combing the expression profiles with the clinical data. Finally, co-expressed DEmRNAs of lncRNAs were identified by interacted network construction and functional annotated by GO and KEGG analysis.

RESULTS

A total of 1114 (345 up- and 769 down-regulated) DEmRNAs and 156 (86 up- and 70 down-regulated) DElncRNAs were obtained in OSCC. Following the machine learning and modeling, 15 lncRNAs were identified to be the optimal diagnostic indicators of OSCC. Among them, FOXD2.AS1 was significantly associated with survival rate of patients with OSCC. In addition, Focal adhesion and ECM-receptor interaction pathways were found to be involved in OSCC.

CONCLUSIONS

FOXD2.AS1 might be a prognostic marker for OSCC and our study may provide more information to the further study in OSCC.

The potential roles of lncRNAs DUXAP8, LINC00963, and FOXD2-AS1 in luminal breast cancer based on expression analysis and bioinformatic approaches

Numerous studies have demonstrated that lncRNAs participate in regulatory networks of different cancers. Dysregulation of various lncRNAs such as DUXAP8, LINC00963, and FOXD2-AS1 has been reported in the development of various cancers. The aim of this study was investigation of the importance and potential roles of DUXAP8, LINC00963, and FOXD2-AS1 in ER⁺ breast cancer (BC). We examined the expression levels of DUXAP8, LINC00963, and FOXD2-AS1 in 71 luminal A and B tumor tissues and two luminal A cell lines (MCF7 and T47D) compared with adjacent non-tumor tissues and MCF10A cell line by qRT-PCR assay, respectively. For identifying the relation between three lncRNAs and luminal BC, bioinformatic analyses were performed using some databases and software including GENEVESTIGATOR software, GEPIA2, DAVID, REVIGO, STRING, lncATLAS, Kaplan-Meier plotter, starBase, and miRNet tool. The results showed the significant upregulation of all three lncRNAs in luminal A and B tumor specimens and cell lines. Upregulation of DUXAP8 and FOXD2-AS1 was significantly associated with progesterone receptor-positive (PR⁺) and p53 protein expression in luminal BC patients, respectively. Based on bioinformatic analyses, DUXAP8 can be considered as a prognostic biomarker for patients with luminal BC. DUXAP8, LINC00963, and FOXD2-AS1 are involved in several cancer-associated signaling pathways and multiple cancer-related processes. In addition, bioinformatic analyses indicated that LINC00963/hsa-mir-130a-3p/HSPA8 axis might have potential regulatory role in BC. In conclusion, dysregulation of DUXAP8, LINC00963, and FOXD2-AS1 can play roles in the development of luminal BC. They may exert their functions through involvement in some cancer signaling pathways and processes. In addition, they may interact with miRNAs like predicted interaction of LINC00963 with miR-130a-3p.

Long Noncoding RNA LINC00857 Promotes Proliferation, Migration, and Invasion of Colorectal Cancer Cell through miR-1306/Vimentin Axis

Colorectal cancer is a commonly diagnosed cancer and the leading cause of cancer-related death which still increasing in many countries. The lack of biomarkers for early detection and clinic treatment results in high morbidity and mortality. The novel role of long noncoding RNA LINC00857 on cell proliferation migration and invasion was explored in this article. The expression level of LINC00857 in colorectal cancer tissue samples and cells was determined notably higher than normal tissue samples and cells. Silence LINC00857 can significantly inhibit colorectal cancer cell viability and metastasis in vitro. Moreover, LINC00857 depletion caused cell accumulation in the G0/G1 phase. In addition, we recognized the novel LINC00857-miR-1306-vimentin axis and demonstrated it by dual-luciferase reporter assay. And this signaling axis could be considered as the target for colorectal cancer treatment. In conclusion, LINC00857 can promote colorectal cancer progress by sponging miR-1306 and upregulate vimentin to accelerate the epithelial-mesenchymal transition process.

Circulating Serum Exosomal Long Non-Coding RNAs FOXD2-AS1, NRIR, and XLOC_009459 as Diagnostic Biomarkers for Colorectal Cancer

Background

Exosomes derived from cancer cells encapsulate various kinds of tumor-specific molecules and thus can interact with adjacent or distant cells to mediate information exchange. Long non-coding RNAs (lncRNAs) in exosomes have the potential as diagnostic and prognostic biomarkers in different types of cancers. The current study was aimed to identify circulating exosomal lncRNAs for the diagnosis of colorectal cancer (CRC).

Methods

Exosomes were isolated from the serum by ultracentrifugation and verified by transmission electron microscope (TEM), qNano, and immunoblotting. Exosomal lncRNAs FOXD2-AS1, NRIR, and XLOC_009459 were selected by lncRNA microarray and validated by qPCR in 203 CRC patients and 201 healthy donors. The receiver operating characteristic curve (ROC) was used to assess the diagnostic efficiency of serum exosomal lncRNAs.

Results

Exosomal FOXD2-AS1, NRIR, and XLOC_009459 (TCONS_00020073) levels were significantly upregulated in 203 CRC patients and 80 early-stage CRC patients compared to 201 healthy donors, possessing the area under the curve (AUC) of 0.728, 0.660, and 0.682 for CRC, as well as 0.743, 0.660, and 0.689 for early-stage CRC, respectively. Notably, their combination demonstrated the markedly elevated AUC of 0.736 for CRC and 0.758 for early-stage CRC, indicating their potential as diagnostic biomarkers for CRC.

Conclusions

Our data suggested that exosomal lncRNAs FOXD2-AS1, NRIR, and XLOC_009459 act as the promising biomarkers for the diagnostics of CRC and early-stage CRC.

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.

Long Non-Coding RNA FOXD2-AS1 Serves as a Potential Prognostic Biomarker for Patients With Cancer: A Meta-Analysis and Database Testing

BACKGROUND

The aim of this study is to summarize the current findings concerning the FOXD2-AS1 expression and cancer prognosis.

METHODS

The correlation intensity between FOXD2-AS1 expression and cancer prognosis was estimated using pooled hazard ratio (HRs) with 95% confidence intervals (CIs). GEPIA was used to assess disease-free survival (DFS), progression-free survival (PFS) and overall survival (OS) of cancer patients and differential FOXD2-AS1 expression in cancer and adjacent tissues.

RESULTS

A total of 11 studies including 2,177 patients with OS and 477 patients with DFS/PFS data were analyzed in evidence synthesis. Overall, the pooled analysis indicated that FOXD2-AS1 expression was significantly associated with OS (HR=1.51, 95%Cl: 1.26-1.81, P<0.001) and DFS (HR=1.66, 95%CI: 1.34-2.04, P<0.001). Subgroup analysis showed that high expression of FOXD2-AS1 was significant correlated with poor OS in the median (HR=1.51, 95%CI: 1.30-1.75, P<0.001) and normal group (HR=1.50, 95%CI: 1.09-2.05, 0.01) based on cut-off value, and high FOXD2-AS1 expression was significant linked with poor DFS in patients with digestive tract cancer (DTC) (HR=1.66, 95%CI: 1.34-2.04, P<0.001). Similarly, a significant correlation between increased FOXD2-AS1 expression and poor PFS with other cancers (HR=3.84, 95%CI 1.26-11.70, P=0.02) was found. In database testing, a highly significant correlation was observed between high expression of FOXD2-AS1 and poor OS (HR=1.9, P<0.001), but not DFS (HR=1.0, P=0.900).

CONCLUSIONS

Our findings indicated that FOXD2-AS1 may serve as a potential independent prognostic factor in cancer, especially in the Chinese population.

Integrative analysis of differential circular RNA and long non-coding RNA profiles and associated competing endogenous RNA networks in esophageal squamous cell carcinoma

Long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) play vital roles in the tumorigenesis of esophageal squamous cell carcinoma (ESCC). Nevertheless, the mechanism and regulatory network associated with this process remain largely unknown. In this study, we performed a comprehensive analysis of the expression of mRNAs, lncRNAs, and circRNAs by RNA-seq. A total of 3265 mRNAs, 1084 lncRNAs, and 38 circRNAs were found to be differentially expressed. Among these, 269 mRNAs were found to encode transcription factors (TFs). Functional enrichment analysis indicated that the dysregulated TFs are associated with the Hedgehog, Jak-STAT, TGF-beta, and MAPK signaling pathways. Furthermore, we constructed co-expression networks to screen the core lncRNAs and circRNAs involved in the regulation of transcription factors in these four pathways. Finally, we constructed a competing endogenous RNA (ceRNA) network of ESCC based on the abovementioned pathways. Our findings provide important insight into the role of lncRNAs and circRNAs in ESCC; the differentially expressed lncRNAs and circRNAs may represent potential targets for ESCC diagnosis and therapy.

Latest Advances of Long Non-Coding RNA SNHG5 in Human Cancers

Long non-coding RNAs (lncRNAs) have been potent regulators in the initiation and development of human cancers regarding their biological roles in the modulation of dosage compensation effect, epigenetics and cell differentiation. Recently, aberrant expression of lncRNA small nucleolar RNA host gene 5 (SNHG5) has been observed in various solid tumors, which was intently correlated with tumor range, metastasis, pathological stage and prognosis. Additional mechanical investigation disclosed that SNHG5 was involved in multiple cellular activities, including proliferation, migration, invasion, cell-cycle, apoptosis and autophagy, via targeting miRNAs, signaling pathways and other biological molecules or proteins. In this review, we summarized the latest advances made towards understanding the roles of SNHG5 in human cancers and further discussed potential methods that could be adopted for clinical interventions.

Silence of FOXD2-AS1 inhibited the proliferation and invasion of esophagus cells by regulating miR-145-5p/CDK6 axis

This study aimed to investigate the function of long non-coding RNA FOXD2 adjacent opposite strand RNA 1 (lncRNA FOXD2-AS1) during the progression of esophagus cancer (EC) and explore its underlying molecular mechanisms. The level of FOXD2-AS1 in EC tissues and paracancerous tissues was detected by using RT-qPCR; ROC curve was used to evaluate the diagnostic value of FOXD2-AS1 for EC. In addition, CCK8 assay and immunofluorescence staining assay were used to detect the proliferation of Eca-109 and TE-1 cells. To investigate the function of FOXD2-AS1 on cell apoptosis and cell cycle, flow cytometry was performed. To detect the invasion ability of EC cells, transwell invasion assay was performed. Starbase3.0 and Targetscan were used to predict the target genes of FOXD2-AS1 and miR-145-5p, and protein expressions were detected with western blot. We found FOXD2-AS1 was significantly upregulated in EC tissues compared with adjacent normal tissues, which was positively correlated with clinicopathological parameters of patients with EC. Downregulation of FOXD2-AS1 inhibited the proliferation and invasion by inducing apoptosis of EC cells. Moreover, FOXD2-AS1 may regulate the expression of CDK6 by targeting miR-145-3p. Meanwhile, silencing of FOXD2-AS1 caused G1 phase arrest of EC cells by reducing the expression of CDK6. In conclusion, silening FOXD2-AS1 significantly inhibited the proliferation and invasion of EC cells by regulating the miR-145-5p/CDK6 axis. Therefore, FOXD2-AS1 might be used as diagnostic biomarker and therapeutic target for EC.

Recent advances in unraveling the molecular mechanisms and functions of HOXA11‑AS in human cancers and other diseases (Review)

A large number of previously published research articles have demonstrated that the expression levels of long noncoding RNAs (lncRNAs) are generally dysregulated, either through overexpression or underexpression, in cancer and other types of disease. As a recently discovered lncRNA, HOXA11 antisense RNA (HOXA11‑AS) is able to serve as an oncogenic or tumor‑suppressor gene and serves a vital role in the processes of proliferation, invasion, and migration of cancer cells. HOXA11‑AS appears to be a major factor contributing to epigenetic modification, and exerts transcriptional, post‑transcriptional, translational and post‑translational regulatory effects on genes through a variety of mechanisms; for example, by competing endogenous RNA (ceRNA) and a molecular scaffold mechanism. A number of reports have demonstrated that HOXA11‑AS functions as a protein scaffold for polycomb repressive complex 2 (PRC2), lysine‑specific histone demethylase 1 (LSD1) and DNA methyltransferase 1 (DNMT1) to perform epigenetic modifications on chromosomes in the nucleus. Furthermore, HOXA11‑AS is also located in the cytoplasm and can act as a ceRNA, which sponges miRNAs. In addition, HOXA11‑AS may be useful as a biomarker for the diagnosis and prognosis of cancer. In the present review article, the clinical value, phenotype and mechanism of HOXA11‑AS in a variety of tumors types are briefly summarized, as well as its clinical value in certain additional diseases. The perspective of the authors is that HOXA11‑AS may represent an effective tumor marker and therapeutic target for cancer diagnosis and therapy.

Noncoding RNAs: New regulatory code in chondrocyte apoptosis and autophagy

Osteoarthritis (OA) is a bone and joint disease characterized by progressive cartilage degradation. In the face of global trends of population aging, OA is expected to become the fourth most common disabling disease by 2020. Nevertheless, the detailed pathogenesis of OA has not yet been elucidated. Noncoding RNAs (ncRNAs), including long noncoding RNAs, microRNAs, and circular RNAs, do not encode proteins but have recently emerged as important regulators of apoptosis and autophagy of chondrocytes, thereby highlighting a potential role in chondrocyte injury leading to OA onset and progression. We here review recent findings on these regulatory roles of ncRNAs to provide new directions for research on the pathogenesis of OA and offer new therapeutic targets for prevention and treatment. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA in Disease and Development > RNA in Development.

SOX2OT, a novel tumor-related long non-coding RNA

SOX2OT is a long non-coding RNA that is highly expressed in embryonic stem cells. The SOX2OT gene is comprised of 10 exons and more than two transcription start sites. Dysregulation of SOX2OT is observed in various tumors, including lung cancer, gastric cancer, esophageal cancer, breast cancer, hepatocellular carcinoma, ovarian cancer, pancreatic ductal adenocarcinoma, laryngeal squamous cell carcinoma, cholangiocarcinoma, osteosarcoma, nasopharyngeal carcinoma, and glioblastoma, wherein it typically functions as an oncogene and possibly as a tumor suppressor gene. The mechanisms underlying the effects of SOX2OT are complex and involve multiple factors and signaling pathways. In this review, we describe the current evidence regarding the role and potential clinical utility of SOX2OT in human cancers.

Influencers on Thyroid Cancer Onset: Molecular Genetic Basis

Thyroid cancer, a cancerous tumor or growth located within the thyroid gland, is the most common endocrine cancer. It is one of the few cancers whereby incidence rates have increased in recent years. It occurs in all age groups, from children through to seniors. Most studies are focused on dissecting its genetic basis, since our current knowledge of the genetic background of the different forms of thyroid cancer is far from complete, which poses a challenge for diagnosis and prognosis of the disease. In this review, we describe prevailing advances and update our understanding of the molecular genetics of thyroid cancer, focusing on the main genes related with the pathology, including the different noncoding RNAs associated with the disease.

Integrated analysis highlights multiple long non‑coding RNAs and their potential roles in the progression of human esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is a prevalent aggressive malignant tumor with poor prognosis. Investigations into the molecular changes that occur as a result of the disease, as well as identification of novel biomarkers for its diagnosis and prognosis, are urgently required. Long non‑coding RNAs (lncRNAs) have been reported to play a critical role in tumor progression. The present study performed data mining analyses for ESCC via an integrated study of accumulated datasets and identification of the differentially expressed lncRNAs from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. The identified intersection of differentially expressed genes (lncRNAs, miRNAs and mRNAs) in ESCC tissues between the GEO and TCGA datasets was investigated. Based on these intersected lncRNAs, the present study constructed a competitive endogenous RNA (ceRNA) network of lncRNAs in ESCC. A total of 81 intersection lncRNAs were identified; 67 of these were included in the ceRNA network. Functional analyses revealed that these 67 key lncRNAs primarily dominated cellular biological processes. The present study then analyzed the associations between the expression levels of these 67 key lncRNAs and the clinicopathological characteristics of the ESCC patients, as well as their survival time using TCGA. The results revealed that 31 of these lncRNAs were associated with tumor grade, tumor‑node‑metastasis (TNM) stage and lymphatic metastasis status (P<0.05). In addition, 15 key lncRNAs were demonstrated to be associated with survival time (P<0.05). Finally, 5 key lncRNAs were selected for validation of their expression levels in 30 patients newly diagnosed with ESCC via reverse transcription‑quantitative PCR (RT‑qPCR). The results suggested that the fold changes in the trends of up‑ and downregulation between GEO, TCGA and RT‑qPCR were consistent. In addition, it was also demonstrated that a select few of these 5 key lncRNAs were significantly associated with TNM stage and lymph node metastasis (P<0.05). The results of the clinically relevant analysis and the aforementioned bioinformatics were similar, hence proving that the bioinformatics analysis used in the present study is credible. Overall, the results from the present study may provide further insight into the functional characteristics of lncRNAs in ESCC through bioinformatics integrative analysis of the GEO and TCGA datasets, and reveal potential diagnostic and prognostic biomarkers for ESCC.