Analysis of the miRNA-mRNA-lncRNA network in human estrogen receptor-positive and estrogen receptor-negative breast cancer based on TCGA data

Cerebrospinal fluid exosomal microRNAs as biomarkers for diagnosing or monitoring the progression of non-small cell lung cancer with leptomeningeal metastases

Non-small-cell lung cancer (NSCLC) has a terrible consequence called leptomeningeal metastases (LM). It is crucial to look for novel biomarkers because none of the known biomarkers could effectively reflect the oncogenesis, progression and therapeutic responses of LM. Exosomal miRNAs from plasma have a critical function in lung cancer, according to growing data. However, unique biomarkers of cerebrospinal fluid (CSF) are more representative for patients with LM, which have not been reported. Here, we explore the possibility of using CSF-derived exosomal microRNAs as potential biomarkers for NSCLC-LM. Nine NSCLC-LM patients who received regular intrathecal chemotherapy with permetexed were divided into a partial response (PR) group and a progressive disease (PD) group. CSF samples were taken from all patients before and after intrathecal treatment and five non-cancerous controls. Using the size exclusion chromatography (SEC) method, the exosome microRNAs were isolated and profiled. Between LM patients and controls, 56 differentially expressed genes (DEGs) were found, of which three highly elevated diagnostic biomarkers (hsa-miR-183-5p, hsa-miR-96-5p and hsa-miR-182-5p) were ruled out. The two most significant DEGs between the untreated PR group and the PD group were determined to be upregulated hsa-miR-509-3p and downregulated hsa-miR-449a, and they may serve as potential indicators of intrathecal anti-pemetrexed treatment. Hsa-miR-1-3p increased gradually with the intrathecal chemotherapy in the PR group, which might offer a new approach to screen optimal patients and estimate the efficacy. This study revealed specific CSF exosomal miRNAs profile and dynamic changes of patients with NSCLC-LM for the first time and identified several potential exosomal miRNA biomarkers in diagnosis, drug resistance and prognosis.

Organotypic 3D Cell-Architecture Impacts the Expression Pattern of miRNAs-mRNAs Network in Breast Cancer SKBR3 Cells

BACKGROUND

Currently, most of the research on breast cancer has been carried out in conventional two-dimensional (2D) cell cultures due to its practical benefits, however, the three-dimensional (3D) cell culture is becoming the model of choice in cancer research because it allows cell-cell and cell-extracellular matrix (ECM) interactions, mimicking the native microenvironment of tumors in vivo.

METHODS

In this work, we evaluated the effect of 3D cell organization on the expression pattern of miRNAs (by Small-RNAseq) and mRNAs (by microarrays) in the breast cancer SKBR3 cell line and analyzed the biological processes and signaling pathways regulated by the differentially expressed protein-coding genes (DE-mRNAs) and miRNAs (DE-microRNAs) found in the organoids.

RESULTS

We obtained well-defined cell-aggregated organoids with a grape cluster-like morphology with a size up to 9.2 × 105 μm3. The transcriptomic assays showed that cell growth in organoids significantly affected (all p < 0.01) the gene expression patterns of both miRNAs, and mRNAs, finding 20 upregulated and 19 downregulated DE-microRNAs, as well as 49 upregulated and 123 downregulated DE-mRNAs. In silico analysis showed that a subset of 11 upregulated DE-microRNAs target 70 downregulated DE-mRNAs. These genes are involved in 150 gene ontology (GO) biological processes such as regulation of cell morphogenesis, regulation of cell shape, regulation of canonical Wnt signaling pathway, morphogenesis of epithelium, regulation of cytoskeleton organization, as well as in the MAPK and AGE-RAGE signaling KEGG-pathways. Interestingly, hsa-mir-122-5p (Fold Change (FC) = 15.4), hsa-mir-369-3p (FC = 11.4), and hsa-mir-10b-5p (FC = 20.1) regulated up to 81% of the 70 downregulated DE-mRNAs.

CONCLUSION

The organotypic 3D cell-organization architecture of breast cancer SKBR3 cells impacts the expression pattern of the miRNAs-mRNAs network mainly through overexpression of hsa-mir-122-5p, hsa-mir-369-3p, and hsa-mir-10b-5p. All these findings suggest that the interaction between cell-cell and cell-ECM as well as the change in the culture architecture impacts gene expression, and, therefore, support the pertinence of migrating breast cancer research from conventional cultures to 3D models.

Long Noncoding RNA and mRNA Expression Profiles in Rats with LPS-induced Myocardial Dysfunction

Background

Sepsis is an uncontrolled systemic inflammatory response. Long noncoding RNAs (lncRNAs) are involved in the pathogenesis of sepsis. However, little is known about the roles of lncRNAs in sepsis-induced myocardial dysfunction.

Objective

We aimed to determine the regulatory mechanism of lncRNAs in sepsis-induced myocardial dysfunction.

Methods

In this study, we analysed the lncRNA and mRNA expression profiles using microarray analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, protein-protein interaction network, and gene set enrichment analysis were used to evaluate the data. We also constructed coding and noncoding coexpression and competing endogenous RNA networks to investigate the mechanisms.

Results

In vivo lipopolysaccharide -induced sepsis rat model was established. A total of 387 lncRNAs and 1,952 mRNAs were identified as significantly changed in the left ventricle. Kyoto Encyclopedia of Genes and Genomes analysis of mRNAs showed that the upregulated genes were mainly enriched in the "complement and coagulation cascade pathway" and "immune-related biological processes" terms. Eight significantly changed lncRNAs detected by RT-qPCR may be responsible for these processes. A competing endogenous RNA network was generated, and the results indicated that eight lncRNAs were related to the "calcium ion binding" process.

Conclusion

These results demonstrate that crosstalk between lncRNAs and mRNAs may play important roles in the development of sepsis-induced myocardial dysfunction.

Association of chromosome 2 open reading frame 71 in colorectal cancer susceptibility

BACKGROUND

Colorectal cancer (CRC) is a serious threat to human physical and mental health. Due to the novelty of the open reading frame (ORF), ORF has shown a wide range of new genetic associations in cancer. The purpose of this study was to explore the association between the C2orf71 SNPs and CRC susceptibility.

METHODS

We recruited 1419 participants to perform an association analysis between C2orf71 SNPs and CRC risk through SNPStats online solftware. Genotyping was completed by the AgenaMassARRAY. In addition, we used false-positive report probability analysis to detect whether the positive findings were noteworthy observations. We also used Haploview 4.2 software and SNPStats online software to conduct the haplotype analysis and analysis of linkage disequilibrium (LD). Finally, the interaction of SNP-SNP in CRC risk was evaluated by multi-factor dimensionality reduction (MDR).

RESULTS

The overall analysis showed thatC2orf71-rs17744093, -rs10200693, and -rs13385188 were significantly associated with the CRC susceptibility. C2orf71-rs17744093 was associated with CRC risk under dominant model (OR = 1.25, p = 0.048). -rs10200693 was associated with CRC risk under allele (OR = 1.17, p = 0.041) and log-additive model (OR = 1.16, p = 0.045). -rs13385188 had significant association with CRC risk under multiple genetic models (allele: OR = 1.19, p = 0.023; log-additive: OR = 1.18, p = 0.026). Multiple stratified analyses showed that except for the three candidate SNPS mentioned above, -rs10166913 (age < 60 years and drinking) and -RS17007544 (< 60 years) were associated with increased CRC risk.

CONCLUSION

C2orf71-rs17744093, -rs10200693, -rs10166913, -rs17007544, and -rs13385188 were associated with CRC susceptibility.

Exosome-Mediated lncRNA LINC01140 Attenuates Breast Cancer Progression by Regulating the Wnt/β-Catenin Pathway

Exosome-delivered long non-coding RNAs have a role in the cancer control. It is unknown how exosomal LINC01140 contributes to the breast cancer (BC) growth. The purpose of this investigation is to identify exosomal LINC01140's function in the development of breast cancer. Using quantitative reverse transcripion polymerase chain reaction, the expression of LINC01140 was measured. To investigate how LINC01140 overexpression impacts BC cell proliferation, CCK-8 as well as colony formation assays (CFA) were employed. The expression of apoptosis-related proteins (Bax and Bcl-2) and Wnt/β-catenin signal pathway-related proteins (Wnt, C-myc, β-catenin, and p-GSK-3β) was assessed through Western blotting. Exosomes from BC cells were verified by western blotting to measure CD63 and CD9 levels. To examine how exosomal LINC01140 affects Wnt/β-catenin signaling pathway and xenograft tumor in nude mice, BC cell exosomes that were overexpressing LINC01140 were obtained and co-cultured with BC cells. In BC, it was discovered that LINC01140 had poor expression. BC cell proliferation was inhibited by overexpressing LINC01140, and the levels of the proteins Bcl-2, β-catenin, C-myc, and Wnt were lowered while Bax and p-GSK-3 were increased. In addition, exosomal LINC01140 hindered the activation of the Wnt/β-catenin signaling pathway, leading to a decrease in the growth of breast cancer cells in vivo. The presence of exosomal LINC01140 impedes the initiation of Wnt/β-catenin and reduces the cancerous characteristics of BC cells.

Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression

BACKGROUND

Breast cancer is one of the most common cancers in women. It is necessary to classify breast cancer subtypes because different subtypes need specific treatment. Identifying biomarkers and classifying breast cancer subtypes is essential for developing appropriate treatment methods for patients. MiRNAs can be easily detected in tumor biopsy and play an inhibitory or promoting role in breast cancer, which are considered promising biomarkers for distinguishing subtypes.

RESULTS

A new method combing ensemble regularized multinomial logistic regression and Cox regression was proposed for identifying miRNA biomarkers in breast cancer. After adopting stratified sampling and bootstrap sampling, the most suitable sample subset for miRNA feature screening was determined via ensemble 100 regularized multinomial logistic regression models. 124 miRNAs that participated in the classification of at least 3 subtypes and appeared at least 50 times in 100 integrations were screened as features. 22 miRNAs from the proposed feature set were further identified as the biomarkers for breast cancer by using Cox regression based on survival analysis. The accuracy of 5 methods on the proposed feature set was significantly higher than on the other two feature sets. The results of 7 biological analyses illustrated the rationality of the identified biomarkers.

CONCLUSIONS

The screened features can better distinguish breast cancer subtypes. Notably, the genes and proteins related to the proposed 22 miRNAs were considered oncogenes or inhibitors of breast cancer. 9 of the 22 miRNAs have been proved to be markers of breast cancer. Therefore, our results can be considered in future related research.

LINC01140 Targeting miR-452-5p/RGS2 Pathway to Attenuate Breast Cancer Tumorigenesis

Background

LINC01140 has been known to be involved in various cancers. However, its underlying molecular mechanism in breast cancer (BC) needs further exploration.

Methods

The LINC01140, miR-452-5p, and RGS2 levels in BC cells and tissues were evaluated by means of RT-qPCR and western blotting. The variations in the biological functions of BC cells were analyzed through CCK-8, transwell, western blotting, and xenograft experiments to observe cell viability, migration, levels of apoptosis-related proteins (Bax and Bcl-2), and tumor growth. The correlations existing among LINC01140, miR-452-5p, and RGS2 were validated through luciferase reporter and RIP assays.

Results

LINC01140 and RGS2 were remarkably downregulated in BC cells and tissues, whereas miR-452-5p was upregulated. LINC01140 overexpression diminished BC cell viability, migration, and tumor growth and facilitated apoptosis. MiR-452-5p upregulation enhanced cell viability and migration and suppressed apoptosis. Nevertheless, the additional upregulation of LINC01140 could reverse the promotive effects of miR-452-5p upregulation. Additionally, RGS2 overexpression inhibited the malignant phenotypes of BC cells, but miR-452-5p upregulation abolished this effect. In terms of mechanisms, LINC01140 acted as a miR-452-5p sponge. Moreover, RGS2 was determined to be miR-452-5p's downstream target gene in BC.

Conclusion

LINC01140 functioned as an antitumor agent in BC by sponging miR-452-5p to release RGS2. This hints that LINC01140 is a promising therapeutic target for BC.

Association between the LINC00673 rs11655237 C> T polymorphisms with cancer risk in the Chinese population: A meta-analysis

OBJECTIVES

The present study aimed to conduct a meta-analysis of previously published studies in order to clarify the association of long noncoding RNA (lncRNAs) LINC00673 rs11655237 C> T polymorphism with cancer risk.

DESIGN

Systematic review and meta-analysis.

SETTING

Electronic databases of PubMed, EMBASE, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, and Wanfang Database were used to search relevant studies. Studies published up to October 20, 2019 were included. The included studies were assessed in the following genetic model: allelic model, homozygote model, Heterozygote model, dominant model, recessive model. Data syntheses were conducted using STATA 12.0.

PARTICIPANTS

Participants with various types cancers were included.

PRIMARY AND SECONDARY OUTCOME MEASURES

Odds ratio (ORs) and 95% confidence interval (CIs) were calculated to assess the risk of tumor.

RESULTS

Seven articles including 7 case-control studies, 7423 cases and 11,049 controls were adopted for meta-analysis. Our result demonstrated that LINC00673 rs11655237 C> T was related to the cancer among all model including allelic model (T vs C: pooled OR = 1.24, 95% CI = 1.16-1.41, P < .001), homozygous model (TT vs CC: pooled OR=1.54, 95% CI = 1.36-1.76, P < .001), heterozygous model (CT vs CC: pooled OR=1.24, 95% CI = 1.16-1.32, P < .001), dominant model (CT + TT vs CC: pooled OR=1.28, 95% CI = 1.20-1.36, P < .001) and recessive model (TT vs CT+ CC: pooled OR=1.42, 95% CI = 1.25-1.61, P < .001). Subgroup analysis also demonstrated that polymorphisms at this site also increased the risk of neuroblastoma.

CONCLUSIONS

Our results find that rs11655237 contributed to occurrence of cancer in all models in Chinese population.

Bone Marrow Mesenchymal Cells (BMSCs) on Breast Cancer Cell Proliferation and Metastasis by Regulating Phosphatase and Tensin Homolog 12

Among the newly diagnosed cancers in women, breast cancer metastasis is a key factor contributing to the poor prognosis. BMSCs are critical components for the malignant microenvironment. Studies have shown that the interaction between tumor cells and BMSCs support breast cancer progression. However, BMSCs’ effect on breast cancer cells is not yet clear. BMSCs and breast cancer cell MCF-7 were co-cultured to analyze tumor cell proliferation and apoptosis along with analysis of E-cadherin and Vimentin expression by real-time PCR, interleukin-6 and matrix protease-2 and PTEN12 expression. Co-culture of BMSCs promoted breast cancer cell proliferation, decreased apoptosis-related Caspase 3 activity and downregulated the expression of EMT related factors, upregulated IL-6 secretion and MMP-2, and downregulated PTEN12 expression (P < 0.05). In conclusion, BMSCs can promote breast cancer cell proliferation and survival and affect breast cancer transformation possibly through inhibiting the expression of PTEN12.

Perspective: cell death mechanisms and early diagnosis as precondition for disease modification in Parkinson's disease: are we on the right track?

INTRODUCTION

Current research paradigms on biomarkers for chronic neurodegenerative diseases, such as Parkinson's disease, focus on identification of reliable, easy-to-apply tools for diagnostic screening and progression assessment.

AREAS COVERED

This perspective discusses possible misconceptions of biomarker research in chronic neurodegeneration from a clinician's view based on a not systematic literature search. Multifactorial disease triggers, heterogeneity of symptom and their progression are main reasons for the still missing availability of biomarkers.

EXPERT OPINION

Onset of chronic neurodegenerative disease entities may probably result from a decompensated endogenous repair machinery in the central nervous system, for example the neogenin receptor associated repulsive guidance molecule pathway. Future clinical research is warranted on these repair structures and aim to identify markers for the imbalance between damage and repair, which hypothetically contributes to generation of disease. An assignment to a specific chronic neurodegenerative disease entity probably appears to be secondary. Decryption of probable molecular signals of an impaired repair potential will enable an earlier diagnosis, better monitoring of disease progress and of treatment response. This concept will hopefully provide better preconditions for prevention, cure or therapeutic beneficial disease modification. These unmet therapeutic needs may be achieved for example via antagonism of repulsive guidance molecule A.

LINC01535 Attenuates ccRCC Progression through Regulation of the miR-146b-5p/TRIM2 Axis and Inactivation of the PI3K/Akt Pathway

lncRNAs, a group of eukaryotic cell genome-encoded transcripts, have been demonstrated to exert a notable impact on tumorigenesis. LINC01535, belonging to the lncRNA family, was reported to have an aberrant expression in certain types of cancers and thus affect cancer progression. Nevertheless, the expression pattern and potential roles of LINC01535 in clear cell renal cell carcinoma (ccRCC) remain to be elucidated. Here, LINC01535 expression was detected in ccRCC by RT-qPCR, cell proliferation by CCK-8 assays, and invasion by transwell assays. Besides, effects of LINC01535 on in vivo tumor growth were investigated by xenograft tumor models. The miR-146b-5p/LINC01535/TRIM2 interaction was evaluated via luciferase reporter assays. This study showed downregulation of LINC01535 in ccRCC. Moreover, LINC01535 upregulation attenuated in vitro ccRCC development and hindered in vivo tumor growth. Furthermore, LINC01535 sponged miR-146b-5p which had a negative correlation with LINC01535, and TRIM2 was a direct target of miR-146b-5p and mediated by LINC01535. Mechanically, LINC01535/miR-146b-5p/TRIM2 axis affected ccRCC progression by mediating the PI3K/Akt signaling. All in all, our observations suggest the LINC01535/miR-146b-5p/TRIM2 axis as a crucial role in ccRCC.

MiRNA-186-5p Exerts an Anticancer Role in Breast Cancer by Downregulating CXCL13

The aim of this study is to illustrate the biofunctions of miRNA-186-5p level in breast cancer (BCa) and to explore the underlying mechanisms. Levels of miRNA-186-5p in BCa tissues and adjacent normal ones were determined. Association of miRNA-186-5p with pathological parameters and prognosis in BCa patients was analyzed. Luciferase assay was conducted for the prediction of the interaction between miRNA-186-5p and CXCL13. Their mutual interaction in influencing the proliferative potential of BCa was finally explored. Results showed that miRNA-186-5p expression was downregulated in BCa cell lines and tissues. MiRNA-186-5p overexpression could attenuate proliferative ability in BCa cells. A direct and negative correlation was identified between miRNA-186-5p and CXCL13. In addition, their mutual interaction was coresponsible for the malignant development of BCa. In BCa patients, miRNA-186-5p level was remarkably associated with tumor size and tumor staging, rather than other pathological parameters. Low level of miRNA-186-5p predicted a poor prognosis in BCa. Downregulated miRNA-186-5p in BCa is linked to tumor size, tumor staging, and prognosis. miRNA-186-5p downregulates CXCL13 by binding CXCL13 3'UTR in BCa cells. Overexpression of CXCL13 can significantly neutralize the inhibitory effects of miRNA-186-5p on BCa proliferation.

LncRNA-miRNA-mRNA regulatory axes in endometrial cancer: a comprehensive overview

INTRODUCTION

Recent research on tumorigenesis and progression has opened up an array of novel molecular mechanisms in the form of interactions between cellular non-coding RNAs (long non-coding RNA[lncRNA]/microRNA [miRNA]) and coding transcripts that regulate health and disease. Endometrial cancer (EC) is a prominent gynecological malignancy with a high incidence rate and poorly known etiology and prognostic factors that hinder the success of disease management. The emerging role of lncRNA-miRNA-mRNA interactions and their dysregulation in the pathophysiology of EC has been elucidated in many recent studies.

METHODS

A thorough literature review was conducted to explore information about lncRNA-miRNA-mRNA axes in EC.

RESULTS

Several lncRNAs act as molecular sponges that sequester various tumor suppressor miRNAs to inhibit their function, leading to the dysregulation of their target mRNA transcripts that contribute to the EC regulation.

CONCLUSIONS

This review summarizes these networks of molecular mechanisms and their contribution to different aspects of endometrial carcinogenesis, leading to a better conceptualization of the molecular pathways that underlie the disease and helping establish novel diagnostic biomarkers and therapeutic intervention points to aid the curative intent of EC.

Using immune-related lncRNAs to construct novel biomarkers and investigate the immune landscape of breast cancer

Background

The role of immune-related long noncoding RNAs (irlncRNAs) in breast cancer (BRCA) is still unclear. Recently, studies have performed analyses based on the expression of irlncRNAs, however, in the present study, we used a novel method that did not require the specific expression levels of lncRNAs of BRCA patients.

Methods

We downloaded transcriptome and clinical data of BRCA patients from The Cancer Genome Atlas (TCGA), obtained immune genes from the Immport database, and extracted immune genes and lncRNAs for correlation analysis. Then, the differential expression of irlncRNA pairs (IRLPs) was determined and the prognostic signature was established by the IRLPs. The immune cell abundance of the TCGA-BRCA cohort was downloaded from the Tumor IMmune Estimation Resource (TIMER) database, and the relationship between the risk score of the IRLP signature and immune cell abundance was analyzed. Finally, we explored the relationship between risk scores and drug sensitivity based on the R package pRRophetic.

Results

Univariate cox regression results showed that 33 IRLPs had significant effects on the overall survival (OS) of BRCA patients. Then 22 IRLPs were obtained via lasso regression for further analysis. Multivariate regression analysis obtained 12 IRLPs to establish the IRLP prognostic signature. The model showed that this IRLP signature could act as a prognostic biomarker for BRCA patients. Kaplan-Meier (KM) survival analysis indicated that low-risk patients of IRLP’s signature had a better OS (P<0.001). Advanced status BRCA patients may have higher risk scores, and univariate and multivariate cox regression analyses showed that risk scores were independent prognostic factors of clinical features (P<0.001). The results of the relationship between risk scores and immune infiltration showed that M1 macrophages were higher in the low-risk group (P=0.00015), while M2 macrophages were higher in the high-risk group (P=0.0015). The high-risk group had a greater sensitivity to chemotherapeutic agents such as cisplatin, docetaxel, doxorubicin, and gemcitabine.

Conclusions

In present study, we used a novel method that did not require the specific expression levels of lncRNAs of BRCA patients, which can be used as a novel model for predicting the prognosis of BRCA patients.

Autophagy related long non-coding RNA and breast cancer prognosis analysis and prognostic risk model establishment

Background

The role of autophagy-related long-stranded non-coding RNA (lncRNA) in breast cancer (BRCA) is unclear. We proposed to screen autophagy-related lncRNAs in BRCA and construct a prognostic risk assessment model to explore prognostic correlates.

Methods

We extracted BRCA lncRNAs from The Cancer Genome Atlas (TCGA) database and autophagy-related genes from the Human Autophagy Database (HADb), to screen for autophagy-related lncRNA pairs (ARLP) in BRCA. Single-factor Cox regression analysis and multi-factor Cox regression analysis were used to screen lncRNAs associated with BRCA prognosis, and risk models were established. We divided BRCA patients into high-risk and low-risk groups based on median risk scores. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to calculate the abundance of 28 immune cells in the TCGA-BRCA cohort and to analyze the relationship between the risk score and the level of immune cell infiltration by ARLP characteristics.

Results

Univariate Cox regression results showed that 42 ARLPs were significantly associated with overall survival (OS) in BRCA patients. Further multifactorial analysis showed that a total of 11 lncRNAs, including SEMA3B-AS1, ST7-AS1, AL136295.7, AC090912.1, LINC01871, AL136531.1, AC024361.1, OTUD6B-AS1, LINC01786, AL122010.1, and MAPT-AS1, were prognostically independent influencers of BRCA. The risk model developed was further validated as a new independent prognostic factor for BRCA patients by Kaplan-Meier (KM) analysis, univariate and multivariate Cox regression analysis to calculate the risk score. In addition, the results of the relationship between risk score and immune infiltration showed that low risk score was associated with T-lymphocyte subpopulation.

Conclusions

Our study suggested that a risk model consisting of 11 autophagy-related lncRNAs can be used to assess the prognosis of BRCA patients.

High miR-3609 expression is associated with better prognosis in TNBC based on mining using systematic integrated public sequencing data

MicroRNAs (miRNAs/miRs) are small endogenous RNAs that regulate gene expression post-transcriptionally. Abnormal miR-3609 expression is associated with the occurrence of pancreatic cancer, glioma and other diseases, such as polycystic ovary syndrome. However, the prognostic potential of miR-3609 has been reported in breast cancer. Thus, the present study aimed to investigate the differential expression and prognostic value of miR-3609 in patients with breast cancer from the UALCAN, cBioportal and Kaplan-Meier Plotter databases, respectively. Furthermore, the co-expression genes of miR-3609 in breast cancer were investigated using data from the LinkedOmics database, and functional enrichment analysis was performed using the LinkInterpreter module in LinkedOmics. The co-expression gene network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins database, and the cytoHubba plug-in was used to identify the hub genes, which were visualized using Cytoscape software. The prognoses of the hub genes were performed using the Kaplan-Meier Plotter database. The Cell Counting Kit-8 and cell cycle assays were performed to confirm the functions of miR-3609 mimics transfection in MDA-MB-231 cells. Survival analysis using the Kaplan-Meier Plotter database demonstrated that high miR-3609 expression in triple-negative breast cancer (TNBC) was associated with a better prognosis. Furthermore, the experimental results indicated that high miR-3609 expression inhibited the proliferation of TNBC cells and induced cell cycle arrest of TNBC cells in the G₀/G₁ phase. Taken together, the results of the present study suggest that miR-3609 plays a vital role in mediating cell cycle arrest and inhibiting the proliferation of TNBC cells.

MicroRNA-106a-5p promotes the proliferation, autophagy and migration of lung adenocarcinoma cells by targeting LKB1/AMPK

It has previously been reported that lung cancer has the highest morbidity and mortality rate worldwide; however, the pathogenesis underlying lung cancer has not been fully elucidated. The aim of the present was primarily to assess the influence of microRNA (miR)-106a-5p on the biological behaviors of lung cancer cells. In the present study, bioinformatics analysis was used to analyze the expression characteristics of miR-106a-5p and its relationship with the prognosis of patients with lung adenocarcinoma (LUAD) in The Cancer Genome Atlas. A dual luciferase reporter assay was performed to verify the binding of miR-106a-5p and liver kinase B1 (LKB1). The Cell Counting Kit-8, colony formation and Transwell assays were utilized to detect cell viability, proliferation and migration, respectively. Protein and RNA expression levels were examined by western blotting and reverse transcription-quantitative PCR analysis, respectively. It was observed that miR-106a-5p was highly expressed in LUAD and associated with poor prognosis. miR-106a-5p promoted the proliferation and migration of LUAD cells, and inhibited autophagy. By contrast, LKB1 inhibited cell proliferation and migration, promoted autophagy and blocked the cancer-promoting effects of miR-106a-5p. Overexpression of miR-106a-5p inhibited the phosphorylation of AMP-activated protein kinase (AMPK) and tuberin (TSC2), and promoted the phosphorylation of mTOR. By contrast, overexpression of LKB1 blocked the promotion of mTOR phosphorylation, and the inhibition of AMPK and TSC2 phosphorylation caused by miR-106a-5p. In summary, the results of the present study indicated that miR-106a-5p regulated the phosphorylation of the AMPK pathway by targeting LKB1, and was involved in the proliferation, migration and autophagy of LUAD cells.

LncRNA NEAT1-miR-101-3p/miR-335-5p/miR-374a-3p/miR-628-5p-TRIM6 axis identified as the prognostic biomarker for lung adenocarcinoma via bioinformatics and meta-analysis

BACKGROUND

Overexpression of the tripartite motif containing 6 (TRIM6) is associated with dismal prognosis in cancer patients, but its exact roles in lung adenocarcinoma (LUAD) have not been reported.

METHODS

The roles of TRIM6 are identified by using The Cancer Genome Atlas (TCGA), TIMER2, Gene Expression Omnibus (GEO), etc., and the regulatory networks and related-prognostic biomarkers of TRIM6 are identified via the ENCORI and LNCAR databases in the LUAD progression.

RESULTS

TRIM6 expression level in LUAD tissues was significantly increased. TRIM6 over-expression level in LUAD patients was associated with smoking, clinical stage, histological type, lymph node metastasis, TP53 mutation and dismal prognosis, and related to prognosis-related age, race, sex, clinical stage and tumor purity of LUAD patients. TRIM6 overexpression was associated with the levels of CD8+ T cells, macrophages, neutrophils and myeloid dendritic cells, and correlated with the levels of LUAD immune cell markers CD8A, IRF5, CD163, VSIG4, MS4A4A, ITGAM, HLA-DPA1, NRP1, ITGAX, etc. TRIM6 might influence the progression of LUAD by regulating homologous recombination, oocyte meiosis, and ubiquitin-mediated proteolysis. LUAD patients with overexpression of miR-101-3p, miR-335-5p, miR-374a-3p, miR-628-5p, and NEAT1 had a poor prognosis.

CONCLUSIONS

NEAT1-miR-101-3p/335-5p/374a-3p/628-5p-TRIM6 network, which we constructed from our results, might be an important factor in the dismal prognosis of LUAD patients.

Identification of cell cycle as the critical pathway modulated by exosome-derived microRNAs in gallbladder carcinoma

Gallbladder cancer (GBC), the most common malignancy in the biliary tract, is highly lethal malignant due to seldomly specific symptoms in the early stage of GBC. This study aimed to identify exosome-derived miRNAs mediated competing endogenous RNAs (ceRNA) participant in GBC tumorigenesis. A total of 159 differentially expressed miRNAs (DEMs) was identified as exosome-derived miRNAs, contains 34 upregulated exo-DEMs and 125 downregulated exo-DEMs based on the expression profiles in GBC clinical samples downloaded from the Gene Expression Omnibus database with the R package. Among them, 2 up-regulated exo-DEMs, hsa-miR-125a-3p and hsa-miR-4647, and 5 down-regulated exo-DEMs, including hsa-miR-29c-5p, hsa-miR-145a-5p, hsa-miR-192-5p, hsa-miR-194-5p, and hsa-miR-338-3p, were associated with the survival of GBC patients. Results of the gene set enrichment analysis showed that the cell cycle-related pathways were activated in GBC tumor tissues, mainly including cell cycle, M phase, and cell cycle checkpoints. Furthermore, the dysregulated ceRNA network was constructed based on the lncRNA-miRNA-mRNA interactions using miRDB, TargetScan, miRTarBase, miRcode, and starBase v2.0., consisting of 27 lncRNAs, 6 prognostic exo-DEMs, and 176 mRNAs. Together with prognostic exo-DEMs, the STEAP3-AS1/hsa-miR-192-5p/MAD2L1 axis was identified, suggesting lncRNA STEAP3-AS1, might as a sponge of exosome-derived hsa-miR-192-5p, modulates cell cycle progression via affecting MAD2L1 expression in GBC tumorigenesis. In addition, the biological functions of genes in the ceRNA network were also annotated by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Our study promotes exploration of the molecular mechanisms associated with tumorigenesis and provide potential targets for GBC diagnosis and treatment.

Long non-coding RNA LINC00265 promotes proliferation, apoptosis, and inflammation of chondrocytes in osteoarthritis by sponging miR-101-3p

Long non-coding RNAs (lncRNAs) play a part in a wide variety of diseases, including osteoarthritis (OA). This study was designed to investigate the biological role of lncRNA LINC00265 in OA and its underlying mechanisms. We examined the levels of LINC00265 and miR-101-3p using RT-qPCR, inflammatory factors using ELISA, and caspase-3, c-caspase-3, Bcl-2, Bax, and MMP-13 levels using Western blot in normal and OA chondrocytes, analysed the relationship between LINC00265 and miR-101-3p using bioinformatics analysis and luciferase reporter assays, performed loss- and gain-of-function analyses. The results showed that (1) LINC00265 expression was increased in OA chondrocytes, (2) si-LINC00265 inhibited OA chondrocyte apoptosis and inflammation, and (3) LINC00265 overexpression promoted normal and OA chondrocyte apoptosis and inflammation. Furthermore, we predicted and confirmed that miR-101-3p was a target of LINC00265. LINC00265 negatively regulated miR-101-3p in OA chondrocytes and LINC00265 promoted OA and normal chondrocyte apoptosis via miR-101-3p. Overall, lncRNA LINC00265 regulates chondrocyte apoptosis by acting as a sponge of miR-101-3p in OA.

LncRNA MCF2L-AS1 aggravates the malignant development of colorectal cancer via targeting miR-105-5p/RAB22A axis

BACKGROUND

Colorectal cancer (CRC) represents one of the major malignant cancers in the world. It has been demonstrated that long non-coding RNAs (lncRNAs) can cause great influences on various human cancers. Though MCF.2 cell line derived transforming sequence like antisense RNA 1 (MCF2L-AS1) and its carcinogenic effect in CRC has been elucidated by several previous researches, the underlying mechanism remains unknown.

AIM

We aimed at exploring the function and regulatory mechanism of MCF2L-AS1 in CRC.

METHODS

MCF2L-AS1 expression in CRC cells was tested via RT-qPCR assay. The effects of MCF2L-AS1 on the biological properties of CRC cells were testified through functional experiments. The molecular mechanism of MCF2L-AS1 was verified through mechanism experiments.

RESULTS

MCF2L-AS1 was highly expressed in CRC cells, and it could enhance the proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) process of CRC cells. MiR-105-5p was sponged by MCF2L-AS1 in CRC cells and Ras-related protein Rab-22A (RAB22A) was verified to be the downstream target of miR-105-5p. It was verified through rescue assays that RAB22A overexpression or miR-105-5p silencing could reverse the repressive impact of MCF2L-AS1 silencing on CRC progression.

CONCLUSION

MCF2L-AS1 accelerated the malignant development of CRC cells by targeting the miR-105-5p/RAB22A axis.

Down-regulation of lncRNA SNHG5 relieves sepsis-induced acute kidney injury by regulating the miR-374a-3p/TLR4/NF-κB pathway

Sepsis is an acute systemic infectious disease engendered by infectious factors, which can cause the dysfunction of multiple organs, including acute kidney injury (AKI). Recently, more and more researchers are focussing on long noncoding RNA (lncRNA) that is closely associated with the development and progression of various diseases; however, the role and mechanism of lncRNA in sepsis-induced AKI are not fully understood. Here, we found a significant increase in the expression of lncRNA small nuclear RNA host gene 5 (SNHG5) in the serum of patients with sepsis than healthy controls. Similar results were obtained from mouse model of sepsis. Further investigations revealed that knockdown of SNHG5 improves the viability and reduces the rate of apoptosis and the generation of inflammatory cytokines in HK-2 and TCMK-1 cells treated with lipopolysaccharide. Mechanistically, we showed that SNHG5 can combine with microRNA-374a-3p (miR-374a-3p), which inhibits nuclear factor-κB (NF-κB) activity by targeting TLR4. In conclusion, our results demonstrate that SNHG5 may regulate sepsis-induced AKI via the miR-374a-3p/TLR4/NF-κB pathway, therefore providing a new insight into the treatment of this disease.

Analysis of lncRNA and mRNA expression profiles in peripheral blood leukocytes of the half-smooth tongue sole (Cynoglossus semilaevis) treated with chitosan oligosaccharide

Long noncoding RNAs (lncRNAs) play a multifaceted role in transcriptional regulation and are important regulators of immune function. Scarce information is available regarding lncRNAs in fish. Peripheral blood mononuclear cells participate in the immune response of fish and aid resistance to infection with pathogenic microorganisms. Chitosan oligosaccharide can improve cellular and humoral immunity to enhance disease resistance in fish. In this study, we obtained peripheral blood leukocytes from half-smooth tongue sole and studied the effect of chitosan oligosaccharide on the lncRNA-mRNA expression profile of these cells using high-throughput sequencing and bioinformatics techniques. A total of 609 differentially expressed mRNAs and 50 differentially expressed lncRNAs were identified. The GO term enrichment analysis of the differentially expressed genes was annotated by 220 GO terms, 137 biological processes, 18 cellular components, and 65 molecular functions. Sixteen KEGG pathways, including immune signaling pathways, metabolism, and genetic information processing, were significantly enriched in differentially expressed genes. Thirty-six differentially expressed lncRNAs and 32 differentially expressed mRNAs produced a coexpression network containing 90 relationship pairs. The prediction of lncRNA target genes revealed 244 lncRNAs that potentially cis-regulated 294 differentially expressed mRNAs. qPCR verified that the expression levels of 17 differentially expressed lncRNAs and 15 differentially expressed mRNAs were consistent with the RNA-Seq results. Among them, 6 lncRNAs and 7 mRNAs were differentially expressed genes obtained from the prediction and analysis of lncRNA target genes, and 8 lncRNAs and 4 mRNAs were differentially expressed genes that participated in the construction of the coexpression network. In peripheral blood leukocytes after chitosan oligosaccharide treatment, as well as in peripheral blood and spleen after Vibrio anguillarum stimulation, lncRNAs and mRNAs showed significant differential expression. The results indicated that they may be related to the immune response, providing novel reference information for further research on the role of lncRNAs in immune regulation in half-smooth tongue sole.

LncRNA SENCR promotes cell proliferation and progression in non-small-cell lung cancer cells via sponging miR-1-3p

ABBREVIATION

NSCLC: Non-small cell lung cancer.

The Role of Sex-specific Long Non-coding RNAs in Cancer Prevention and Therapy

The functions of a large number of non-coding genes in human DNA have yet to be accurately identified. Long non-coding RNA (lncRNA) measuring 10 kb or less in length regulates transcription or post-transcriptional events. The lncRNAs have attracted increased attention of researchers in recent years. In this review, we summarize the recently published lncRNAs which are known to influence cancer development and progression. We also discuss recent studies investigating tumor-specific lncRNA expression. These lncRNAs provide very useful information that allows prediction of the degree of malignancy and a survival rate in cancer patients as clinically relevant biomarkers. Because symptoms and progression of cancer differ from onset to death between males and females, it is important to consider the gender of the patient when diagnosing cancer and predicting the progression. Considering the importance of gender difference, we also examine the influence of sex hormones involved in the expression and regulation of lncRNAs as biomarkers. Many of the lncRNAs examined in this review have been studied in cancers occurring in the female or male reproductive organs, but the association between lncRNAs and sex hormones has also been reported in common organs such as the lung, renal and colon. Although lncRNAs have not yet been widely used as definitive cancer indicators, recent studies have demonstrated the potential role of lncRNAs as biomarkers and therapeutic targets reflecting sex-specificity in a number of different cancers.

LOXL1‑AS1 promotes thymoma and thymic carcinoma progression by regulating miR‑525‑5p‑HSPA9

Due to the lack of specific symptoms in early thymic epithelial tumours (TETs), patients are mostly in the advanced stage at the time of presentation. The aim of the present study was to explore the mechanism by which the long noncoding RNA (lncRNA) LOXL1‑AS1 affects thymoma and thymic carcinoma progression by targeting the miR‑525‑5p‑HSPA9 axis. Bioinformatics was used to analyse the process of LOXL1‑AS1 targeting miR‑525‑5p‑HSPA9 and its expression characteristics in TET. The relationships between LOXL1‑AS1, miR‑525‑5p, HSPA9 and prognosis were analysed. The dual luciferase reporter assay was applied to verify targeting. The gene was knocked down or overexpressed by plasmid transfection. Cell counting kit 8 (CCK‑8) assay, flow cytometry and Transwell assay were used to detect cell viability, apoptosis and invasion ability, respectively. Proteins and RNAs were examined by western blot analysis and qPCR, respectively. A tumour‑burdened assay was used to perform in vivo verification. LOXL1‑AS1 and HSPA9 were overexpressed in thymoma and thymic carcinoma; high levels of LOXL1‑AS1 and HSPA9 were associated with poor prognosis, and there was a significant positive correlation between their levels. Downregulation of miR‑525‑5p expression was also associated with poor prognosis of patients. Clinical trials also demonstrated the same trends. miR‑525‑5p inhibited the expression of HSPA9 protein by targeting the 3'‑untranslated region (UTR) of HSPA9 mRNA. LOXL1‑AS1 promoted the expression of HSPA9 as a sponge targeting miR‑525‑5p. Animal experiment results also showed that knockdown of miR‑525‑5p promoted cancer by promoting the expression of HSPA9. In conclusion, LOXL1‑AS1 and HSPA9 are highly expressed in thymoma and thymic carcinoma; miR‑525‑5p is expressed at low levels in thymoma and thymic carcinoma; and downregulation of miR‑525‑5p is associated with poor prognosis. In summary, this study demonstrates that LOXL1‑AS1 acts as a sponge that targets miR‑525‑5p to promote HSPA9 expression, thereby promoting the growth and invasion and inhibiting apoptosis of thymoma and thymic carcinoma cells.

LncRNA EGOT/miR-211-5p Affected Radiosensitivity of Rectal Cancer by Competitively Regulating ErbB4

BACKGROUND/AIMS

Long non-coding ribonucleic acids (lncRNAs) are involved in the progression of cancers and affect the response to radiation therapy. This study was to investigate the mechanism of lncRNA EGOT in the radiosensitivity of rectal cancer.

METHODS

The mRNA expression of EGOT, miR-211-5p and ErbB4 in rectal cancer tissues and cells was detected by qRT-PCR. The protein expression of ErbB4 was detected by Western blot. Dual-luciferase reporter assay and ribonucleic acid immunoprecipitation (RIP) were used to confirm the interaction between EGOT and miR-211-5p or miR-211-5p and ErbB4. Transfection technology was used to down-regulate and up-regulate the expression of EGOT and miR-211-5p in rectal cancer cells, respectively. MTT, colony formation and flow cytometry were used to detect the effect of EGOT and miR-211-5p on proliferation, invasion, migration and apoptosis of rectal cancer cells.

RESULTS

The expression of EGOT was up-regulated in rectal cancer tissues and cells, and the expression of EGOT was related to the late stage of pathology. EGOT knockdown inhibited the proliferation and colony formation of rectal cancer cells and induced the apoptosis of rectal cancer cells. Moreover, EGOT knockdown was significantly enhanced the effects of radiotherapy on rectal cancer in vivo and in vitro. Furthermore, EGOT was found to serve as a sponge of miR-211-5p, and ErbB4 was a downstream target of miR-211-5p. EGOT enhanced the expression of ErbB4 by regulating miR-211-5p. MiR-211-5p inhibitor restored the effect of EGOT knockdown on the radiosensitivity of rectal cancer.

CONCLUSION

Down-regulation of EGOT could inhibit the growth of rectal cancer cells by regulating the miR-211-5p/ErbB4 axis and improve the radiosensitivity of rectal cancer cells. EGOT may be a new therapeutic target for rectal cancer.

Integrated regulatory network based on lncRNA-miRNA-mRNA-TF reveals key genes and sub-networks associated with dilated cardiomyopathy

Dilated Cardiomyopathy (DCM) is a multifactorial condition often leading to heart failure in many clinical cases. Due to the high number of DCMincidence reported as familial, a gene level network based study was conducted utilizing high throughput next generation sequencing data. We exploited the exome and transcriptome sequencing data in NCBI-SRA database to construct a high confidence scale-free regulatory network consisting of lncRNA, miRNA, mRNA and Transcription Factors (TFs). Analysis of RNA-Seq data revealed 477 differentially expressed coding transcripts and 77 lncRNAs. 268 miRNAs regulated either lncRNAs or mRNAs. Out of the 477 coding transcripts that are deregulated, 82 were TFs. We identified three major hub nodeslncRNA (XIST), miRNA (hsa-miR-195-5p) and mRNA (NOVA1) from the network. We also found putative disease associations of DCM with diabetes and DCM with hypoventillation syndrome. Five highly connected modules were also identified from the network. The hubs showed significant connectivity with the modules.Through this study we were able to gain insights into the underlying lncRNA-miRNA-mRNA-TF network. From a high throughput dataset we have isolated a handful of probable targets that may be utilized for studying the mechanisms of DCM development and progression to heart failure.

Analysis of differential expression of long non‑coding RNAs in exosomes derived from mature and immature dendritic cells

Dendritic cells release bioactive exosomes involved in immune regulation. Long non‑coding RNAs (lncRNAs) are implicated in a number of immunoregulatory mechanisms. However, the roles of lncRNAs in dendritic cell‑derived exosomes remain to be elucidated. The present study aimed to investigate the roles of lncRNAs in exosomes derived from mature and immature dendritic cells and to find specific lncRNAs with immunoregulatory function. The expression profiles of lncRNAs in exosomes derived from bone marrow dendritic cells of C57 mice were illustrated. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and Gene Set Enrichment Analysis were performed to identify potential targets correlated with immune regulation. In addition, lncRNA‑miRNA‑mRNA networks were predicted using bioinformatics methods. Representative lncRNAs were further validated via reverse transcription‑quantitative PCR. A total of 437 lncRNAs were analyzed using RNA‑seq. Among these, the expression of ~87 lncRNAs was upregulated and 21 lncRNAs was downregulated in mature dendritic cell‑derived exosomes (Dex) compared with immature Dex. GO analyses indicated the involvement of upregulated lncRNAs in multiple biological functions, such as the immune system process, while downregulated lncRNAs were involved in poly(A) RNA binding. Analysis of the KEGG pathway identified the relationship of TNF signaling and ribosome pathway with upregulated lncRNAs and downregulated lncRNAs, respectively. The results of gene set enrichment analysis identified that three lncRNA‑associated transcripts (Procr‑203, Clec4e‑202 and Traf1‑203) were highly associated with immunoregulatory functions including T helper cell differentiation and Janus kinase‑STAT signaling pathway. The results indicated the involvement of candidate lncRNAs in immunoregulation and suggested a new perspective on the modulation of lncRNAs in Dex.

MiR-34a-5p and miR-452-5p: The Novel Regulators of Pancreatic Endocrine Dysfunction in Diabetic Zucker Rats?

Objective: The pancreatic endocrinal system dominates the regulation of blood glucose levels in vivo, and the dysfunction of pancreatic endocrine β-cells is a major cause of the occurrence and development of Type 2 diabetes (T2D). Although microRNA (miRNA) have been found to be key regulators of pancreatic β-cells proliferation, differentiation and apoptosis, the underlying mechanism remains enigmatic. The aim of this study was to identify several novel miRNAs which might be involved in the etiopathogenesis of diabetic β-cells dysfunction. Methods: The miRNA expression profiles in the pancreas of high-fat diet (HFD) fed Zucker diabetic fatty (ZDF) rats and Zucker lean (ZL) rats feed with normal-fat diet (NFD) were detected by using miRNA microarray chip, and individually verified the most significant factors by quantitative real-time polymerase chain reaction (qRT-PCR) assay. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to predict the target genes related to each of the identified miRNAs and the functions of these target genes in different metabolic signaling pathways. Results: Compared with the ZL rats, a total of 24 differentially expressed miRNAs were detected in ZDF rats. Among which miR-34a-5p and miR-452-5p were the most significantly up-regulated and down-regulated respectively. These miRNAs have not been reported in rats' pancreas before. By GO and KEGG enrichment analyses, we found that miR-34a-5p could negatively regulate pancreatic β-cell proliferation through the involvement of Wnt signaling pathway. In addition, it was also found to regulate insulin secretion through the insulin signaling pathway to modulate blood glucose levels. At the same time, miR-452-5p was found to positively regulate the activity of the key rate-limiting enzyme branched-chain α-keto acid dehydrogenase-β (BCKDHB) in the catabolism of branched chain amino acids (BCAA), leading to mitochondrial dysfunction in pancreatic β-cells. Conclusions: miR-34a-5p and miR-452-5p were identified as the novel regulators of pancreatic endocrine dysfunction. These miRNAs might have the potential to be utilized as the new predictive biomarkers for the diagnosis of the occurrence and development of T2D, as well as the therapeutic targets for T2D treatment.

LINC00240 promotes gastric cancer cell proliferation, migration and EMT via the miR-124-3p / DNMT3B axis

Gastric cancer (GC) remains one of prevalent causes of cancer-related deaths worldwide. Long noncoding RNA is related to various cancers. Our study was conducted to explore the biological effects of LINC00240 on the tumorigenesis of GC and uncover its possible mechanisms. LINC00240 expression was determined in GC cell lines and samples through quantitative Real-time Polymerase Chain Reaction (qRT-PCR). The functional effects of LINC00240 were validated using in vitro and in vivo assays. Targets were assessed by AGO2-dependent RNA immunoprecipitation assay and dual-luciferase report assays. Our findings suggested higher LINC00240 expression in GC tissues and cells. Through downregulating LINC00240, cell proliferation, invasion and migration were retarded in vitro, and tumorigenesis of GC cells was notably suppressed in vivo. Further research showed that LINC00240 was a cytoplasmic lncRNA that shared miRNA response elements of microRNA (miR)-124-3p with DNMT3B, thus forming a LINC00240/miR-124-3p/DNMT3B axis explaining the functions of LINC00240. In a word, our study reveals that LINC00240 promotes GC tumorigenesis via a LINC00240/miR-124-3p/DNMT3B axis as an oncogene. These findings objectivise that LINC00240 may be a potential diagnostic biomarker for GC. SIGNIFICANCE OF THE STUDY: Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related death across the world. Then we analysed lncRNA microarray of GC and selected LINC00240 as the study object. Therefore, the potential molecular mechanism as well as physiological function of LINC00240 in GC was discussed. Then we reveal that LINC00240 acts as an oncogene in GC progression via the miR-99a-5p/IGF1R axis. This study is the first to demonstrate the roles of LINC00240 in GC.

Long noncoding RNA HCG18 inhibits the differentiation of human bone marrow-derived mesenchymal stem cells in osteoporosis by targeting miR-30a-5p/NOTCH1 axis

Background

Recent studies have demonstrated that long non-coding RNAs (LncRNAs) can influence bone cell differentiation and formation. However, it is unclear whether lncRNA HCG18 is involved in osteoporosis (OP). This study was conducted to investigate the regulation of HCG18 in osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs).

Methods

BMSCs were isolated and cultured from mouse pathological models and osteoporosis patients. RT-qPCR was performed to detect the expression of HCG18 and miR-30a-5p in BMSCs. The interaction between HCG18 and miR-30a-5p was analyzed by dual luciferase assay and RNA pulldown assay. The interaction between miR-30a-5p and NOTCH1 3′-UTR was analyzed by dual luciferase assay. RT-qPCR and Western blotting were used to detect the expression of osteogenic genes Runx2, OCN and OPN. Hindlimb-unloaded (HU) mice model was established, and HCG18 was knocked down on bone-formation surfaces by using lentivirus mediated shRNA transfection.

Results

The expression of HCG18 was increased in BMSCs of OP patients, while the expression of miR-30a-5p was decreased. The expression of HCG18 and miR-30a-5p was negatively correlated in BMSCs. During the differentiation from BMSCs to osteoblasts, the expression of HCG18 was significantly downregulated, and the expression of miR-30a-5p was significantly upregulated. Overexpression of HCG18 was able to reverse the osteogenic-induced upregulation of miR-30a-5p expression, and knockdown of HCG18 further promoted the expression of miR-30a-5p. In addition, miR-30a-5p partially abolished the effect of HCG18 on osteogenic differentiation of BMSCs. NOTCH1 was a target protein of miR-30a-5p, and upregulation of NOTCH1 reversed the effect of miR-30a-5p on osteogenic differentiation of BMSCs. Furthermore, this study found that lentivirus mediated HCG18 knockdown on the bone-formation surfaces of hindlimb-unloaded (HU) mice partially alleviated unloading-induced bone loss

Conclusions

HCG18 inhibited osteogenic differentiation of BMSCs induced by OP via the miR-30a-5p/NOTCH1 axis. HCG18 can be identified as a regulator of osteogenic differentiation of BMSCs.

Long non-coding RNAs lnc-ANGPTL1-3:3 and lnc-GJA10-12:1 present as regulators of sentinel lymph node metastasis in breast cancer

Long non-coding RNAs (lncRNAs) participate in various biological processed involved in tumorigenesis, metastasis and proliferation. The aim of the present study was to identify candidate long non-coding RNAs (lncRNAs) involved in sentinel lymph node (SLN) metastasis in breast cancer. Specimens of SLNs were collected from patients with SLN metastasis via punch biopsy. Total RNA was extracted and RNA sequencing (RNA-seq) was conducted. Differential expression profiles of mRNAs and lncRNAs were obtained via bioinformatics analysis, and Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed on differentially expressed mRNAs. The expression levels of lncRNAs were analyzed via reverse transcription-quantitative PCR (RT-qPCR), and the regulation network of the lncRNAs to downstream microRNAs (miRs) and mRNAs was predicted. Based on RNA-seq results, six differentially expressed candidate lncRNAs were identified in patients with and without SLN metastasis: lnc-ANGPTL1-3:3, lnc-GJA10-12:1, lnc-ACAN-2:1, lnc-ZPBP2-4:1, lnc-GATA3-16:1 and lnc-ACOX3-5:1. KEGG and GO analysis identified that the mitogen-activated protein kinase (MAPK) and PI3K/Akt signaling pathways were the most enriched pathways. After RT-qPCR analysis, lnc-ANGPTL1-3:3 and lnc-GJA10-12:1 exhibited expression patterns that were consistent with those from RNA-seq. Moreover, receiver operating characteristic curve analysis demonstrated that lnc-ANGPTL1-3:3 and lnc-GJA10-12:1 expression levels had high sensitivity and specificity in the diagnosis of SLN metastasis, and that their expression levels were upregulated in patients with axillary lymph node metastasis. Further analysis revealed that lnc-GJA10-12:1 and lnc-ANGPTL1-3:3 were commonly involved in regulating the miR-302 family, including miR-302d-3p and miR-302c-3p, which together targeted AKT1. Additionally, lnc-ANGPTL1-3:3 was predicted to target miR-520b to regulate MAP3K2 expression. lnc-GJA10-12:1 was also predicted to target miR-34a-5p to regulate MAP2K1 and MAP3K9 expression levels, as well as miR-449a to regulate MAP2K1 expression. The results of the present study suggested that lnc-ANGPTL1-3:3 and lnc-GJA10-12:1 may potentially serve a role in SLN metastasis of breast cancer by regulating the PI3K/Akt and MAPK signaling pathways via targeting the miR-302 family, miR-520a-3p, miR-34a-5p and miR-449a. Thus, lnc-ANGPTL1-3:3 and lnc-GJA10-12:1 in SLN may serve as potential markers of breast cancer metastasis.

Sparse semiparametric canonical correlation analysis for data of mixed types

Canonical correlation analysis investigates linear relationships between two sets of variables, but often works poorly on modern datasets due to high-dimensionality and mixed data types (continuous/binary/zero-inflated). We propose a new approach for sparse canonical correlation analysis of mixed data types that does not require explicit parametric assumptions. Our main contribution is the use of truncated latent Gaussian copula to model the data with excess zeroes, which allows us to derive a rank-based estimator of latent correlation matrix without the estimation of marginal transformation functions. The resulting semiparametric sparse canonical correlation analysis method works well in high-dimensional settings as demonstrated via numerical studies, and application to the analysis of association between gene expression and micro RNA data of breast cancer patients.

Integrated Dissection of lncRNA-Perturbated Triplets Reveals Novel Prognostic Signatures Across Cancer Types

Long noncoding RNA (lncRNA)/microRNA(miRNA)/mRNA triplets contribute to cancer biology. However, identifying significative triplets remains a major challenge for cancer research. The dynamic changes among factors of the triplets have been less understood. Here, by integrating target information and expression datasets, we proposed a novel computational framework to identify the triplets termed as “lncRNA-perturbated triplets”. We applied the framework to five cancer datasets in The Cancer Genome Atlas (TCGA) project and identified 109 triplets. We showed that the paired miRNAs and mRNAs were widely perturbated by lncRNAs in different cancer types. LncRNA perturbators and lncRNA-perturbated mRNAs showed significantly higher evolutionary conservation than other lncRNAs and mRNAs. Importantly, the lncRNA-perturbated triplets exhibited high cancer specificity. The pan-cancer perturbator OIP5-AS1 had higher expression level than that of the cancer-specific perturbators. These lncRNA perturbators were significantly enriched in known cancer-related pathways. Furthermore, among the 25 lncRNA in the 109 triplets, lncRNA SNHG7 was identified as a stable potential biomarker in lung adenocarcinoma (LUAD) by combining the TCGA dataset and two independent GEO datasets. Results from cell transfection also indicated that overexpression of lncRNA SNHG7 and TUG1 enhanced the expression of the corresponding mRNA PNMA2 and CDC7 in LUAD. Our study provides a systematic dissection of lncRNA-perturbated triplets and facilitates our understanding of the molecular roles of lncRNAs in cancers.

ExoceRNA atlas: A database of cancer ceRNAs in human blood exosomes

AIMS

Competing endogenous RNAs (ceRNAs) play essential roles in cancer pathogenesis and those in exosomes have been the promising biomarkers for cancer diagnose and therapy. We aim to identify potential active ceRNA pairs in cancer blood exosomes by combining TCGA and exoRBase.

MAIN METHODS

Two strict screening criteria were implemented, including hypergeometric test on the targets predicted by RNA22 for differential miRNAs and Pearson test on the candidate mRNAs and lncRNAs for each cancer. Then2638292, 4925485 and 70669 ceRNAs in blood exosomes are available for colorectal cancer (CRC), hepatocellular carcinoma (HCC) and pancreatic adenocarcinoma (PAAD), respectively.

KEY FINDINGS

A comprehensive functional analysis on differential miRNAs in cancer blood exosomes indicates that they play important roles in development of cancer by degrading or inhibiting the post-transcription translation level of mRNA or by acting as mediators to regulate the expression of mRNA. Topological and biological functional analysis of ceRNA networks demonstrate that hub ceRNAs involve in cancer-related biological pathways and processes, so as to influence the occurrence and development of cancer and would be the potential biomarkers for three cancers. Finally, we designed a web-accessible database, ExoceRNA Atlas (https://www.exocerna-atlas.com/exoceRNA#/) as a repository of ceRNAs in blood exosomes. It can friendly search, browse and visualize ceRNA networks of the query genes along with giving the detailed functional analysis results. The entire ceRNA data can also be freely downloaded.

SIGNIFICANCE

ExoceRNA Atlas will serve as a powerful public resource for identifying ceRNAs and greatly deepen our understanding their functions in cancer exosomes.

Dissecting miRNA facilitated physiology and function in human breast cancer for therapeutic intervention

MicroRNAs (miRNAs) are key epigenomic regulators of biological processes in animals and plants. These small non coding RNAs form a complex networks that regulate cellular function and development. MiRNAs prevent translation by either inactivation or inducing degradation of mRNA, a major concern in post-transcriptional gene regulation. Aberrant regulation of gene expression by miRNAs is frequently observed in cancer. Overexpression of various 'oncomiRs' and silencing of tumor suppressor miRNAs are associated with various types of human cancers, although overall downregulation of miRNA expression is reported as a hallmark of cancer. Modulations of the total pool of cellular miRNA by alteration in genetic and epigenetic factors associated with the biogenesis of miRNA machinery. It also depends on the availability of cellular miRNAs from its store in the organelles which affect tumor development and cancer progression. Here, we have dissected the roles and pathways of various miRNAs during normal cellular and molecular functions as well as during breast cancer progression. Recent research works and prevailing views implicate that there are two major types of miRNAs; (i) intracellular miRNAs and (ii) extracellular miRNAs. Concept, that the functions of intracellular miRNAs are driven by cellular organelles in mammalian cells. Extracellular miRNAs function in cell-cell communication in extracellular spaces and distance cells through circulation. A detailed understanding of organelle driven miRNA function and the precise role of extracellular miRNAs, pre- and post-therapeutic implications of miRNAs in this scenario would open several avenues for further understanding of miRNA function and can be better exploited for the treatment of breast cancers.

Identification of specific microRNA-messenger RNA regulation pairs in four subtypes of breast cancer

Four subtypes of breast cancer, luminal A, luminal B, basal-like, human epidermal growth factor receptor-enriched, have been identified based on gene expression profiles of human tumours. The goal of this study is to find whether the same groups' genes would exhibit different networks among the four subtypes. Differential expressed genes between each of the four subtypes and the normal samples were identified. The overlaps between the four groups of differentially expressed genes were used to construct regulations networks for each of the four subtypes. Univariate and multivariate Cox regressions were employed to test the genes in the four regulation networks. This study demonstrated that the common genes in four subtypes showed different regulation. Also, the hsa-miR-182 and decorin pair performs different functions among the four subtypes of breast cancer. The result indicated that heterogeneity of breast cancer is not only reflected in the different expression patterns among different genes, but also in the different regulatory networks of the same group of genes.

DDX11-AS1exacerbates bladder cancer progression by enhancing CDK6 expression via suppressing miR-499b-5p

PURPOSE

We investigated DDX11-AS1 effects on bladder cancer (BLCA) progression to identify a new potential therapeutic target for BLCA.

METHODS

BLCA cases (n = 108) were enrolled. SW780 and J82 cells were transfected. Cell counting kit-8 (CCK-8) assay, wound healing assay and transwell migration assay was conducted. Cell cycle and apoptosis was detected by flow cytometry. Luciferase reporter assay was performed. DDX11-AS1, miR-499b-5p and CDK6 mRNA expression in tissues/cells was determined by quantitative real-time polymerase chain reaction (qRT-PCR). In vivo experiment was performed using nude mice. CDK6 and Ki67 proteins expression in cells and xenograft tumors were researched by Western blot and immunohistochemistry.

RESULTS

Overexpressed DDX11-AS1 in BLCA was associated with poor outcome of patients. Compared with siCtrl group, SW780 and J82 cells of siDDX11-AS1 group had lower OD450 value (P < 0.01), less cells in S phase, more apoptosis cells (P < 0.05), higher relative wound width (P < 0.05) and less invasive cell number (P < 0.01). DDX11-AS1 promoted CDK6 expression via inhibiting miR-499b-5p. Compared with oe-DDX11-AS1 group, SW780 cells of oe-DDX11-AS1 + miR-499b-5p mimic group and oe-DDX11-AS1 + siCDK6 group had lower OD450 value (P < 0.01), less cells in S phrase, more apoptosis cells (P < 0.01), higher relative wound width (P < 0.05) and less invasive cell numbers (P < 0.01). DDX11-AS1 knockdown inhibited SW780 cells growth in vivo and suppressed CDK6 and Ki67 expression in xenograft tumors.

CONCLUSION

DDX11-AS1 exacerbates BLCA progression by enhancing CDK6 expression via suppressing miR-499b-5p.

Transcriptome Analysis Reveals Long Intergenic Non-Coding RNAs Contributed to Intramuscular Fat Content Differences between Yorkshire and Wei Pigs

Intramuscular fat (IMF) content is closely related to various meat traits, such as tenderness, juiciness, and flavor. The IMF content varies considerably among pig breeds with different genetic backgrounds. Long intergenic non-coding RNAs (lincRNAs) have been widely identified in many species and found to be an important class of regulators that can participate in multiple biological processes. However, the mechanism behind lincRNAs regulation of pig IMF content remains unknown and requires further study. In our study, we identified a total of 156 lincRNAs in the longissimus dorsi muscle of Wei (fat-type) and Yorkshire (lean-type) pigs using previously published data. These identified lincRNAs have shorter transcript length, longer exon length, lower exon number, and lower expression level as compared with protein-coding transcripts. We predicted potential target genes (PTGs) that are potentially regulated by lincRNAs in cis or trans regulation. Gene ontology and pathway analyses indicated that many potential lincRNAs target genes are involved in IMF-related processes or pathways, such as fatty acid catabolic process and adipocytokine signaling pathway. In addition, we analyzed quantitative trait locus (QTL) sites that differentially expressed lincRNAs (DE lincRNAs) between Wei and Yorkshire pigs co-localized. The QTL sites where DE lincRNAs co-localize are mostly related to IMF content. Furthermore, we constructed a co-expressed network between DE lincRNAs and their differentially expressed PTGs (DEPTGs). On the basis of their expression levels, we suggest that many DE lincRNAs can affect IMF development by positively or negatively regulating their PTGs. This study identified and analyzed some lincRNAs- and PTGs-related IMF development of the two pig breeds and provided new insight into research on the roles of lincRNAs in the two types of breeds.

Estrogen Abolishes the Repression Role of gga-miR-221-5p Targeting ELOVL6 and SQLE to Promote Lipid Synthesis in Chicken Liver

Few studies have been conducted regarding the biological function and regulation role of gga-miR-221-5p in the liver. We compared the conservation of miR-221-5p among species and investigated the expression pattern of gga-miR-221-5p, validating the direct target genes of gga-miR-221-5p by dual luciferase reporter assay, the biological function of gga-miR-221-5p in the liver was studied by gga-miR-221-5p overexpression and inhibition. Furthermore, we explored the regulation of gga-miR-221-5p and its target genes by treatment with estrogen and estrogen antagonists in vivo and in vitro. The results showed that miR-221-5p was highly conserved among species, expressed in all tested tissues and significantly downregulated in peak-laying hen liver compared to pre-laying hen liver. Gga-miR-221-5p could directly target the expression of elongase of very long chain fatty acids 6 (ELOVL6) and squalene epoxidase (SQLE) genes to affect triglyceride and total cholesterol content in the liver. 17β-estradiol could significantly inhibit the expression of gga-miR-221-5p but promote the expression of ELOVL6 and SQLE genes. In conclusion, the highly conservative gga-miR-221-5p could directly target ELOVL6 and SQLE mRNAs to affect the level of intracellular triglyceride and total cholesterol. Meanwhile, 17β-estradiol could repress the expression of gga-miR-221-5p but increase the expression of ELOVL6 and SQLE, therefore promoting the synthesis of intracellular triglyceride and cholesterol levels in the liver of egg-laying chicken.

Long noncoding RNA HOXA-AS2 mediates microRNA-106b-5p to repress sepsis-engendered acute kidney injury

HOXA cluster antisense RNA 2 (HOXA-AS2) is a long noncoding RNA associated with the development of numerous cancers. But, whether HOXA-AS2 exhibits a certain function in sepsis-engendered acute kidney injury (AKI) remains uninvestigated. We strived to unveil the role of HOXA-AS2 in sepsis-engendered AKI. The expression of HOXA-AS2 in sepsis patients, animal models and lipopolysaccharide (LPS)-impaired HK-2 cells was primarily assessed via a real-time quantitative polymerase chain reaction. The effects of HOXA-AS2 on cell survival of HK-2 cells under LPS irritation were evaluated after overexpression of HOXA-AS2. The correlation between HOXA-AS2 and microRNA (miR)-106b-5p was forecasted via bioinformatics software and verified by using a luciferase report system. Subsequently, the functions of miR-106b-5p in LPS-damaged HK-2 cells were reassessed. Western blot was used for the determination of Wnt/β-catenin and nuclear factor-κB (NF-κB) pathways. HOXA-AS2 expression was decreased in sepsis patients, animal operation group and LPS-irritated HK-2 cells. Overexpressed HOXA-AS2 mollified LPS-triggered impairment in HK-2 cells. In addition, a negative mediatory relation between HOXA-AS2 and miR-106b-5p was predicated. Synchronously, overexpressed miR-106b-5p counteracted the protection of HOXA-AS2 in LPS-damaged HK-2 cells. Ultimately, Wnt/β-catenin and NF-κB pathways were hindered by HOXA-AS2 via targeting miR-106b-5p. HOXA-AS2 exhibited protection in sepsis-engendered AKI via targeting miR-106b-5p and hindering the Wnt/β-catenin and NF-κB pathways.

Dysregulated lncRNA-miRNA-mRNA Network Reveals Patient Survival-Associated Modules and RNA Binding Proteins in Invasive Breast Carcinoma

Breast cancer is the most common cancer in women, but few biomarkers are effective in clinic. Previous studies have shown the important roles of non-coding RNAs in diagnosis, prognosis, and therapy selection for breast cancer and have suggested the significance of integrating molecules at different levels to interpret the mechanism of breast cancer. Here, we collected transcriptome data including long non-coding RNA (lncRNA), microRNA (miRNA), and mRNA for ~1,200 samples, including 1079 invasive breast carcinoma samples and 104 normal samples, from The Cancer Genome Atlas (TCGA) project. We identified differentially expressed lncRNAs, miRNAs, and mRNAs that distinguished invasive carcinoma samples from normal samples. We further constructed an integrated dysregulated network consisting of differentially expressed lncRNAs, miRNAs, and mRNAs and found housekeeping and cancer-related functions. Moreover, 58 RNA binding proteins (RBPs) involved in biological processes that are essential to maintain cell survival were found in the dysregulated network, and 10 were correlated with overall survival. In addition, we identified two modules that stratify patients into high- and low-risk subgroups. The expression patterns of these two modules were significantly different in invasive carcinoma versus normal samples, and some molecules were high-confidence biomarkers of breast cancer. Together, these data demonstrated an important clinical application for improving outcome prediction for invasive breast cancers.

Long intergenic non-coding RNA 511 correlates with improved prognosis, and hinders osteosarcoma progression both in vitro and in vivo

Background

This study aimed to investigate the correlation of long intergenic non‐coding RNA 511 (LINC00511) with clinicopathological characteristics and overall survival (OS) in osteosarcoma patients and to explore its function in osteosarcoma in vitro and in vivo.

Methods

Tumor tissues and adjacent tissues from 45 osteosarcoma patients were acquired, and LINC00511 expression was detected. In vitro, LINC00511 expression was detected in osteosarcoma cell lines and osteoblast cell line. LINC00511 overexpression‐treated (OE‐LINC00511) and nonsense overexpression‐treated (OE‐control) MG‐63 and Saos‐2 cells were cultured, followed by the assessment of cell proliferation, apoptosis, migration, and invasion. In vivo, tumor weight and volume were measured in OE‐LINC00511 and OE‐control xenografted mice.

Results

LINC00511 expression was decreased in tumor tissues compared with adjacent tissues (P < .001), and its high expression correlated with increased tumor cell necrosis rate to neoadjuvant chemotherapy (P = .025) and prolonged OS (P = .010). In vitro, LINC00511 expression was decreased in osteosarcoma cell lines (including MG‐63, U‐2OS, Saos‐2, and HOS) compared with osteoblast cell line (All P < .001). Cell proliferation was decreased at 48 hours (Both P < .01) and 72 hours (Both P < .001) (in MG‐63 and Saos‐2 cells); cell apoptosis was increased (P < .05) (in Saos‐2 cells); cell migration and invasion were decreased (All P < .01) (in MG‐63 cells and Saos‐2 cells) in OE‐LINC00511 compared with OE‐control. In vivo, tumor volume was reduced at week 4 (P < .001), week 5 (P < .001), week 6 (P < .001) in OE‐LINC00511 compared with OE‐control. Tumor weight was declined in OE‐LINC00511 than OE‐control (P < .001).

Conclusions

LINC00511 acts as a potential biomarker and therapeutic option for osteosarcoma.

A deep neural network approach to predicting clinical outcomes of neuroblastoma patients

BACKGROUND

The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also important to better understand the biological mechanisms underlying disease etiology and development, as well as treatment responses. Recently, different predictive models, relying on distinct algorithms (including Support Vector Machines and Random Forests) have been investigated. In this context, deep learning strategies are of special interest due to their demonstrated superior performance over a wide range of problems and datasets. One of the main challenges of such strategies is the "small n large p" problem. Indeed, omics datasets typically consist of small numbers of samples and large numbers of features relative to typical deep learning datasets. Neural networks usually tackle this problem through feature selection or by including additional constraints during the learning process.

METHODS

We propose to tackle this problem with a novel strategy that relies on a graph-based method for feature extraction, coupled with a deep neural network for clinical outcome prediction. The omics data are first represented as graphs whose nodes represent patients, and edges represent correlations between the patients' omics profiles. Topological features, such as centralities, are then extracted from these graphs for every node. Lastly, these features are used as input to train and test various classifiers.

RESULTS

We apply this strategy to four neuroblastoma datasets and observe that models based on neural networks are more accurate than state of the art models (DNN: 85%-87%, SVM/RF: 75%-82%). We explore how different parameters and configurations are selected in order to overcome the effects of the small data problem as well as the curse of dimensionality.

CONCLUSIONS

Our results indicate that the deep neural networks capture complex features in the data that help predicting patient clinical outcomes.

Estrogen Receptors and Melanoma: A Review

In the last three decades cutaneous melanoma has been widely investigated as a steroid hormone-sensitive cancer. Following this hypothesis, many epidemiological studies have investigated the relationship between estrogens and melanoma. No evidence to date has supported this association due to the great complexity of genetic, external and environmental factors underlying the development of this cancer. Molecular mechanisms through which estrogen and their receptor exert a role in melanoma genesis are still under investigation with new studies increasingly focusing on the discovery of new molecular targets for therapeutic treatments.

Integrated Analysis of mRNA-miRNA-lncRNA ceRNA Network in Human HR+/Her-2- Breast Cancer and Triple Negative Breast Cancer

Breast cancer is a heterogeneous disease highly diverse in different subtypes, including hormone receptor positive and hormone receptor negative subtypes with variable malignancy, therapy regimen, and different prognosis. In this study, we develop a hormone receptor-specific mRNA-miRNA-lncRNA ceRNA network to identify whether several RNAs play fundamental roles in development and metastasis of breast cancer. To understand the association of ceRNA expression profiles in different breast cancer subgroups, the expression profiles and clinical information of 428 HR+/Her-2- breast cancer samples and 113 triple negative breast cancer samples were downloaded from The Cancer Genome Atlas database (TCGA). We comprehensively integrated and compared expression profiles of mRNAs, miRNAs, and lncRNAs between the two subgroups mentioned. Aberrantly expressed hormone receptor specific RNAs were identified, whereas lncRNA-miRNA interactions predicted by miRcode and miRNA-targeted mRNA interactions were validated by miRTarBase, Targetscan, and miRDB database. In this study, mRNA-miRNA-lncRNA ceRNA network was constructed that consisted of 44 miRNA-lncRNA interaction pairs and 2 miRNA-mRNA interaction pairs, and visualized by Cytoscape software. Prognostic markers of HR-specific subtype of breast cancer associated with overall survival were identified by Kaplan-Meier survival analysis. Finally, SFRP1, AC006449.1, and MUC2 were novel clinical predictors that may also provide a new therapeutic target in the future.

LINC00511 is associated with the malignant status and promotes cell proliferation and motility in cervical cancer

LINC00511 is a newly identified lncRNA that is up-regulated in many types of human cancers and may serve as an oncogenic lncRNA. However, there was no report about the role of LINC00511 in cervical cancer. Therefore, we investigated the clinical value of LINC00511 in cervical cancer patients via analyzing the correlation between LINC00511 expression and clinicopathological features. Moreover, we performed loss-of-function study to estimate the effect of LINC00511 on cervical cancer cell proliferation, migration, and invasion. In our study, we found LINC00511 expression levels were increased in cervical cancer tissues and cell lines compared with adjacent normal tissues and normal cervical epithelial cell line, respectively. High LINC00511 expression was correlated with advanced clinical stage, large tumor size, histological type of adenocarcinoma, and present lymph node metastasis, distant metastasis, and poor overall survival in cervical cancer patients. The in vitro studies indicated that knockdown of LINC00511 inhibited cervical cancer cell proliferation, migration, and invasion. In conclusion, LINC00511 acts as oncogenic lncRNA in cervical cancer, and may be a novel biomarker and potential therapeutic target for cervical cancer patients.