STAT3-Induced lncRNA SNHG17 Exerts Oncogenic Effects on Ovarian Cancer through Regulating CDK6

Tumour-derived exosome SNHG17 induced by oestrogen contributes to ovarian cancer progression via the CCL13-CCR2-M2 macrophage axis

Oestrogen is known to be strongly associated with ovarian cancer. There was much work to show the importance of lncRNA SNHG17 in ovarian cancer. However, no study has revealed the molecular regulatory mechanism and functional effects between oestrogen and SNHG17 in the development and metastasis of ovarian cancer. In this study, we found that SNHG17 expression was significantly increased in ovarian cancer and positively correlated with oestrogen treatment. Oestrogen could promote M2 macrophage polarization as well as ovarian cancer cells SKOV3 and ES2 cell exosomal SNHG17 expression. When exposure to oestrogen, exosomal SNHG17 promoted ovarian cancer cell proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) in vitro, and tumour growth and lung metastasis in vivo by accelerating M2-like phenotype of macrophages. Mechanically, exosomal SNHG17 could facilitate the release of CCL13 from M2 macrophage via the PI3K-Akt signalling pathway. Moreover, CCL13-CCR2 axis was identified to be involved in ovarian cancer tumour behaviours driven by oestrogen. There results demonstrate a novel mechanism that exosomal SNHG17 exerts an oncogenic effect on ovarian cancer via the CCL13-CCR2-M2 macrophage axis upon oestrogen treatment, of which SNHG17 may be a potential biomarker and therapeutic target for ovarian cancer responded to oestrogen.

SPLASH2 provides ultra-efficient, scalable, and unsupervised discovery on raw sequencing reads

SPLASH is an unsupervised, reference-free, and unifying algorithm that discovers regulated sequence variation through statistical analysis of k-mer composition, subsuming many application-specific methods. Here, we introduce SPLASH2, a fast, scalable implementation of SPLASH based on an efficient k-mer counting approach. SPLASH2 enables rapid analysis of massive datasets from a wide range of sequencing technologies and biological contexts, delivering unparalleled scale and speed. The SPLASH2 algorithm unveils new biology (without tuning) in single-cell RNA-sequencing data from human muscle cells, as well as bulk RNA-seq from the entire Cancer Cell Line Encyclopedia (CCLE), including substantial unannotated alternative splicing in cancer transcriptome. The same untuned SPLASH2 algorithm recovers the BCR-ABL gene fusion, and detects circRNA sensitively and specifically, underscoring SPLASH2's unmatched precision and scalability across diverse RNA-seq detection tasks.

Identification and validation of a novel glycolysis-related ceRNA network for sepsis-induced cardiomyopathy

Purpose

Sepsis-induced cardiomyopathy (SIC) is a major life-threatening condition in critically infected patients. Early diagnosis and intervention are important to improve patient prognosis. Recognizing the pivotal involvement of the glycolytic pathway in SIC, this study aims to establish a glycolysis-related ceRNA network and explore novel diagnostic avenues.

Materials and methods

SIC-related datasets were carefully filtered from the GEO database. CytoHubba was used to identify differentially expressed genes (DEGs) associated with glycolysis. A predictive method was then used to construct an lncRNA-miRNA-mRNA network. Dual-luciferase reporter assays validated gene interactions, and the specificity of this ceRNA network was confirmed in peripheral blood mononuclear cells (PBMCs) from SIC patients. Logistic analysis was used to examine the correlation between the ceRNA network and SIC. Diagnostic potential was assessed using receiver operating characteristic (ROC) curves, and correlation analysis investigated any associations between gene expression and clinical indicators.

Results

IER3 was identified as glycolysis-related DEG in SIC, and a ceRNA network (SNHG17/miR-214-3p/IER3) was established by prediction. Dual luciferase reporter gene assay confirmed the presence of mutual binding between IER3, miR-214-3p and SNHG17. RT-qPCR verified the specific expression of this ceRNA network in SIC patients. Multivariate logistic analysis established the correlation between the ceRNA network and SIC. ROC analysis demonstrated its high diagnostic specificity (AUC > 0.8). Correlation analysis revealed a negative association between IER3 expression and oxygenation index in SIC patients (p < 0.05). Furthermore, miR-214-3p expression showed a negative correlation with NT-proBNP (p < 0.05).

Conclusion

In this study, we identified and validated a ceRNA network associated with glycolysis in SIC: SNHG17/miR-214-3p/IER3. This ceRNA network may play a critical role in the onset and development of SIC. This finding is important to further our understanding of the pathophysiological mechanisms underlying SIC and to explore potential diagnostic and therapeutic targets for SIC.

Role and mechanism of Circ-PDE7B in the formation of keloid

The excessive proliferation of keloid fibroblasts is one of the important reasons leading to the formation of keloids. Circular RNA (circRNA) is an important regulator that regulates the biological functions of cells. However, the role and mechanism of circ-PDE7B in keloid formation have not been studied yet. QRT-PCR was used to detect the circ-PDE7B, miR-331-3p and cyclin-dependent kinase 6 (CDK6) expression. The biological functions of keloid fibroblasts were determined by MTT assay, flow cytometry, transwell assay and wound healing assay. Western blot analysis was used to measure the protein levels of extracellular matrix (ECM) markers and CDK6. The interaction between miR-331-3p and circ-PDE7B or CDK6 was confirmed by dual-luciferase reporter assay and RIP assay. Circ-PDE7B was found to be upregulated in keloid tissues and fibroblasts. Downregulation of circ-PDE7B could suppress the proliferation, invasion, migration, ECM accumulation and accelerate the apoptosis of keloid fibroblasts. Circ-PDE7B could serve as a sponge of miR-331-3p, and the regulation of silenced circ-PDE7B on the biological functions of keloid fibroblasts could be abolished by miR-331-3p inhibitor. Additionally, CDK6 was a target of miR-331-3p, and its overexpression could reverse the negative regulation of miR-331-3p on the biological functions of keloid fibroblasts. Circ-PDE7B sponged miR-331-3p to positively regulate CDK6 expression. Taken together, circ-PDE7B promoted the proliferation, invasion, migration and ECM accumulation of keloid fibroblasts by regulating the miR-331-3p/CDK6 axis, suggesting that circ-PDE7B might be a potential target for keloid treatment.

Long Non-Coding RNAs as "MYC Facilitators"

In this article, we discuss a class of MYC-interacting lncRNAs (long non-coding RNAs) that share the following criteria: They are direct transcriptional targets of MYC. Their expression is coordinated with the expression of MYC. They are required for sustained MYC-driven cell proliferation, and they are not essential for cell survival. We refer to these lncRNAs as "MYC facilitators" and discuss two representative members of this class of lncRNAs, SNHG17 (small nuclear RNA host gene) and LNROP (long non-coding regulator of POU2F2). We also present a general hypothesis on the role of lncRNAs in MYC-mediated transcriptional regulation.

Blood Plasma Small Non-Coding RNAs as Diagnostic Molecules for the Progesterone-Receptor-Negative Phenotype of Serous Ovarian Tumors

The expression level of the progesterone receptor (PGR) plays a crucial role in determining the biological characteristics of serous ovarian carcinoma. Low PGR expression is associated with chemoresistance and a poorer outcome. In this study, our objective was to explore the relationship between tumor progesterone receptor levels and RNA profiles (miRNAs, piwiRNAs, and mRNAs) to understand their biological characteristics and behavior. To achieve this, we employed next-generation sequencing of small non-coding RNAs, quantitative RT-PCR, and immunohistochemistry to analyze both FFPE and frozen tumor samples, as well as blood plasma from patients with benign cystadenoma (BSC), serous borderline tumor (SBT), low-grade serous ovarian carcinoma (LGSOC), and high-grade serous ovarian carcinoma (HGSOC). Our findings revealed significant upregulation of MMP7 and MUC16, along with downregulation of PGR, in LGSOC and HGSOC compared to BSC. We observed significant correlations of PGR expression levels in tumor tissue with the contents of miR-199a-5p, miR-214-3p, miR-424-3p, miR-424-5p, and miR-125b-5p, which potentially target MUC16, MMP7, and MMP9, as well as with the tissue content of miR-16-5p, miR-17-5p, miR-20a-5p, and miR-93-5p, which are associated with the epithelial-mesenchymal transition (EMT) of cells. The levels of EMT-associated miRNAs were significantly correlated with the content of hsa_piR_022437, hsa_piR_009295, hsa_piR_020813, hsa_piR_004307, and hsa_piR_019914 in tumor tissues. We developed two optimal logistic regression models using the quantitation of hsa_piR_020813, miR-16-5p, and hsa_piR_022437 or hsa_piR_004307, hsa_piR_019914, and miR-93-5p in the tumor tissue, which exhibited a significant ability to diagnose the PGR-negative tumor phenotype with 93% sensitivity. Of particular interest, the blood plasma levels of miR-16-5p and hsa_piR_022437 could be used to diagnose the PGR-negative tumor phenotype with 86% sensitivity even before surgery and chemotherapy. This knowledge can help in choosing the most effective treatment strategy for this aggressive type of ovarian cancer, such as neoadjuvant chemotherapy followed by cytoreduction in combination with hyperthermic intraperitoneal chemotherapy and targeted therapy, thus enhancing the treatment's effectiveness and the patient's longevity.

Identification of lncRNAs Deregulated in Epithelial Ovarian Cancer Based on a Gene Expression Profiling Meta-Analysis

Epithelial ovarian cancer (EOC) is one of the deadliest gynecological cancers worldwide, mainly because of its initially asymptomatic nature and consequently late diagnosis. Long non-coding RNAs (lncRNA) are non-coding transcripts of more than 200 nucleotides, whose deregulation is involved in pathologies such as EOC, and are therefore envisaged as future biomarkers. We present a meta-analysis of available gene expression profiling (microarray and RNA sequencing) studies from EOC patients to identify lncRNA genes with diagnostic and prognostic value. In this meta-analysis, we include 46 independent cohorts, along with available expression profiling data from EOC cell lines. Differential expression analyses were conducted to identify those lncRNAs that are deregulated in (i) EOC versus healthy ovary tissue, (ii) unfavorable versus more favorable prognosis, (iii) metastatic versus primary tumors, (iv) chemoresistant versus chemosensitive EOC, and (v) correlation to specific histological subtypes of EOC. From the results of this meta-analysis, we established a panel of lncRNAs that are highly correlated with EOC. The panel includes several lncRNAs that are already known and even functionally characterized in EOC, but also lncRNAs that have not been previously correlated with this cancer, and which are discussed in relation to their putative role in EOC and their potential use as clinically relevant tools.

Long non-coding RNA SNHG17 contributes to the progression of pancreatic adenocarcinoma by modulating miR-32-5p/EZH2/STAT3 signaling

BACKGROUND

Adenocarcinoma of the pancreas (PAAD) is one of the most malignant tumors in the gastrointestinal tract. Long-chain noncoding RNAs (lncRNAs) are non-coding RNAs that are expressed in a variety of cancers. The purpose of this study is to study the expression, biology functions, and molecular mechanism of lncRNA SNHG17 in PAAD.

METHODS

In this study, qRT-PCR was used to measure the relative expression of SNHG17 and miR-32-5p in PAAD. In order to investigate the effect of SNHG17 and miR-32-5p on the proliferation, migration and invasion of PAAD cells, we performed a variety of tests including CCK-8, colony formation, scratch and transwell assays. Furthermore, SNHG17 and miR-32-5p interactions were confirmed by a luciferase reporter gene test.

RESULTS

Our results indicate that the expression of SNHG17 in PAAD is elevated, and in vitro studies have shown that SNHG17 enhances the proliferation of PAAD cells, Mechanistically, it has been shown that SNHG17 can direct target miR-32-5p in PAAD cells, thus promoting the proliferation of PAAD cells, migration, and invasion. Furthermore, SNHG17 has been found to activate EZH2/STAT3 signaling pathway through miR-32-5p in PAAD cells.

CONCLUSION

Our results show that SNHG17 plays a key role in the progression of PAAD by activating STAT3 signaling via regulation of miR-32-5p and EZH2.Identifying these new regulatory pathways may shed light on the underlying mechanism of PAAD and offer a potential therapeutic target for this fatal disease.

Integrative pan-cancer analysis indicates the prognostic importance of long noncoding RNA SNHG17 in human cancers

BACKGROUND

Cancer is one of the most widespread causes of death today. Early diagnosis can dramatically reduce cancer-related mortality. Studies have shown that the lncRNA Small Nucleolar RNA Host Gene 17 (SNHG17) is aberrantly expressed in various types of solid tumors. Nevertheless, its prognostic value remains to be elucidated. The main objective of this meta-analysis was to elucidate whether SNHG17 can be considered as a potential prognostic biomarker for a variety of cancers.

METHODS

Correlational studies were screened from Cochrane, Embase, PubMed, and Web of Science. Hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were pooled, and the role of SNHG17 in cancer was analyzed. The Cancer Genome Atlas (TCGA) database was employed to verify the results.

RESULTS

Seventeen original papers including 1451 patients were included in the meta-analysis. SNHG17 expression was upregulated in various cancers. Overexpression of SNHG17 was significantly correlated with worse overall survival (OS) (HR = 1.92, 95% CI 1.55-2.37, P < 0.001) and relapse-free survival (RFS) (HR = 1.87, 95% CI 1.06-3.30, P = 0.030). Furthermore, overexpression of SNHG17 was predictive of earlier lymph node metastasis (LNM) (OR = 2.94, 95% CI 2.29-3.78, P < 0.001), more advanced tumor-node-metastases (TNM) stage (OR = 3.56, 95% CI 2.22-5.68, P < 0.001), larger tumor size (OR = 2.18, 95% CI 1.65-2.88, P < 0.001), worse differentiation grade (OR = 1.69, 95% CI 1.26-2.25, P < 0.001), and earlier distant metastasis (DM) (OR = 1.63, 95% CI 1.03-2.56, P = 0.033) in human cancers. Moreover, further inquiry based on TCGA dataset validated that SNHG17 was high expression in various tumors and foresaw unfavorable clinical prognosis.

CONCLUSIONS

Overexpression of SNHG17 correlates with poor prognosis and advanced clinicopathological features in cancer patients and may be a potential prognostic indicator and a therapeutic target for cancer treatment.

Enabling factor for cancer hallmark acquisition: Small nucleolar RNA host gene 17

The role of long non-coding RNA (lncRNA) in human tumors has gradually received increasing attention in recent years. Particularly, the different functions of lncRNAs in different subcellular localizations have been widely investigated. The upregulation of lncRNA small nucleolar RNA host gene 17 (SNHG17) has been observed in various human tumors. Growing evidence has proved that SNHG17 plays a tumor-promoting role in tumorigenesis and development. This paper describes the molecular mechanisms by which SNHG17 contributes to tumor formation and development. The different functions of SNHG17 in various subcellular localizations are also emphasized: its function in the cytoplasm as a competing endogenous RNA (ceRNA), its action in the nucleus as a transcriptional coactivator, and its function through the polycomb repressive complex 2 (PRC2)-dependent epigenetic modifications that regulate transcriptional processes. Finally, the correlation between SNHG17 and human tumors is summarized. Its potential as a novel prognostic and diagnostic biomarker for cancer is explored especially.

STAT3-mediated upregulation of LINC00520 contributed to temozolomide chemoresistance in glioblastoma by interacting with RNA-binding protein LIN28B

A considerable number of glioblastoma (GBM) patients developed drug resistance to Temozolomide (TMZ) during chemotherapy, resulting in therapeutic failure and tumor recurrence. However, the exact mechanism of TMZ chemoresistance in GBM is still poorly clarified. As a novel identified lncRNA, LINC00520 was located on chromosome 14 and overexpressed in multiple human cancers. This study was designed and conducted to investigate the role and underlying mechanism of LINC00520 in GBM chemoresistance to TMZ. The qRT-PCR assay demonstrated that LINC00520 was significantly overexpressed in TMZ-sensitive and/or TMZ-resistant GBM cells (P < 0.001). The silencing of LINC00520 markedly reduced the cell viability, suppressed colony formation, induced cell apoptosis and G1/S phase arrest in TMZ-resistant cells (P < 0.001). In contrast, overexpression of LINC00520 conferred TMZ-resistant phenotype of GBM cells in vitro (P < 0.001). The orthotopic xenograft model was established and the results indicated that the volume of tumor xenografts in vivo was markedly inhibited by TMZ treatment after the silencing of LINC00520 (P < 0.001). Luciferase reporter assay and chromatin immunoprecipitation (ChIP) assay revealed a strong affinity of transcription factor STAT3 to the promoter regions of LINC00520, suggesting that STAT3 mediated the aberrant expression of LINC00520 in GBM. Further experiments demonstrated that LINC00520 could interact with RNA-binding protein LIN28B to inhibit autophagy and reduce DNA damage, thereby contributing to TMZ chemoresistance in GBM. These findings suggested that STAT3/LINC00520/LIN28B axis might be a promising target to improve TMZ chemoresistance of GBM.

NF-κB-Activated lncRNACASC9 Promotes Bladder Cancer Progression by Regulating the TK1 Expression

Long noncoding RNAs (lncRNA) are involved in cancer development, but the roles of most lncRNAs are undocumented. In this study, we identified lncRNAs that were abnormally expressed in bladder cancer. We found that lncRNACASC9 plays an important role in the progression of bladder cancer. CASC9 was highly expressed in bladder cancer cells and tissues, and the prognosis of bladder cancer patients with high expression of CASC9 was poor. The results of colony formation assays, CCK-8 assays, EdU assays, transwell assays, mouse xenograft models, and tail vein injection lung metastasis model showed that CASC9 could promote bladder cancer cells growth and metastasis both in vitro and in vivo. Mechanistically, through FISH experiments, luciferase reporter experiments, and RIP experiments, we proved that CASC9 regulated the expression of TK1 by adsorbing miR-195-5p, thereby exerting an oncogenic effect in bladder cancer. Taken together, our findings support that the CASC9/miR-195-5p/TK1 axis is a critical pathway in the tumorigenesis and progression of bladder cancer, implicating a new therapeutic direction for the treatment of bladder cancer.

Long noncoding RNA SNHG17: a novel molecule in human cancers

Many studies in recent years have found that dysregulation of long non-coding RNAs (lncRNAs) can contribute to disease. Small nucleolar RNA host gene 17 (SNHG17) is a novel cancer-related lncRNA of the SNHG family which is highly expressed in various tumors and may exert oncogenic functions. Several studies have demonstrated that SNHG17 is closely related to the proliferation, migration, invasion, apoptosis, and chemical drug resistance of tumor cells, and clinical studies have found an association between high SNHG17 expression and poor prognosis. In this review, we summarize relevant studies investigating SNHG17, focusing on its biological function as well as its potential value for clinical applications.

Identification of keygenes, miRNAs and miRNA-mRNA regulatory pathways for chemotherapy resistance in ovarian cancer

Background

Chemotherapy resistance, especially platinum resistance, is the main cause of poor prognosis of ovarian cancer. It is of great urgency to find molecular markers and mechanism related to platinum resistance in ovarian cancer.

Methods

One mRNA dataset (GSE28739) and one miRNA dataset (GSE25202) were acquired from Gene Expression Omnibus (GEO) database. The GEO2R tool was used to screen out differentially expressed genes (DEGs) and differentially expressed miRNAs (DE-miRNAs) between platinum-resistant and platinum-sensitive ovarian cancer patients. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs were performed using the DAVID to present the most visibly enriched pathways. Protein–protein interaction (PPI) of these DEGs was constructed based on the information of the STRING database. Hub genes related to platinum resistance were visualized by Cytoscape software. Then, we chose seven interested hub genes to further validate using qRT-PCR in A2780 ovarian cancer cell lines. And, at last, the TF-miRNA-target genes regulatory network was predicted and constructed using miRNet software.

Results

A total of 63 upregulated DEGs, 124 downregulated DEGs, four upregulated miRNAs and six downregulated miRNAs were identified. From the PPI network, the top 10 hub genes were identified, which were associated with platinum resistance. Our further qRT-PCR showed that seven hub genes (BUB1, KIF2C, NUP43, NDC80, NUF2, CCNB2 and CENPN) were differentially expressed in platinum-resistant ovarian cancer cells. Furthermore, the upstream transcription factors (TF) for upregulated DE-miRNAs were SMAD4, NFKB1, SMAD3, TP53 and HNF4A. Three overlapping downstream target genes (KIF2C, STAT3 and BUB1) were identified by miRNet, which was regulated by hsa-miR-494.

Conclusions

The TF-miRNA–mRNA regulatory pairs, that is TF (SMAD4, NFKB1 and SMAD3)-miR-494-target genes (KIF2C, STAT3 and BUB1), were established. In conclusion, the present study is of great significance to find the key genes of platinum resistance in ovarian cancer. Further study is needed to identify the mechanism of these genes in ovarian cancer.

lncRNA SNHG15 Promotes Ovarian Cancer Progression through Regulated CDK6 via Sponging miR-370-3p

Ovarian cancer is a kind of cancer from the female genital tract; the molecular mechanism still needs to be explored. lncRNA plays a vital role in tumorigenesis and development. Our aim was to identify oncogenic lncRNAs in ovarian cancer and explore the potential molecular mechanism. SNHG15 was initially identified by using GEO datasets (GSE135886 and GSE119054) and validated by tumor tissues and the cell line, identifying that SNHG15 was upregulated in ovarian cancer. Besides, high SNHG15 indicated poor prognosis in ovarian cancer. Furthermore, knockdown SNHG15 suppresses ovarian cancer proliferation and promotes apoptosis. Mechanistically, SNHG15 promotes proliferation through upregulated CDK6 via sponging miR-370-3p. Taken together, our findings emphasize the important role of SNHG15 in ovarian cancer, suggesting that SNHG15 may be a promising target for ovarian cancer.

SNHG17, as an EMT-related lncRNA, promotes the expression of c-Myc by binding to c-Jun in esophageal squamous cell carcinoma

Dysregulation of long noncoding RNA SNHG17 is associated with the occurrence of several tumors; however, its role in esophageal squamous cell carcinoma (ESCC) remains obscure. The present study demonstrated that SNHG17 was upregulated in ESCC tissues and cell lines, induced by TGF‐β1, and associated with poor survival. It is also involved in the epithelial‐to‐mesenchymal transition (EMT) process. The mechanism underlying SNHG17‐regulated c‐Myc was detected by RNA immunoprecipitation, RNA pull‐down, chromatin immunoprecipitation, and luciferase reporter assays. SNHG17 was found to directly regulate c‐Myc transcription by binding to c‐Jun protein and recruiting the complex to specific sequences of the c‐Myc promoter region, thereby increasing its expression. Moreover, SNHG17 hyperactivation induced by TGF‐β1 results in PI3K/AKT pathway activation, promoting cells EMT, forming a positive feedback loop. Furthermore, SNHG17 facilitated ESCC tumor growth in vivo. Overall, this study demonstrated that the SNHG17/c‐Jun/c‐Myc axis aggravates ESCC progression and EMT induction by TGF‐β1 and may serve as a new therapeutic target for ESCC.

LINC00035 Transcriptional Regulation of SLC16A3 via CEBPB Affects Glycolysis and Cell Apoptosis in Ovarian Cancer

Objective

Ovarian cancer (OC) represents the most lethal gynecologic malignancy globally. Over the decades, lncRNAs have been considered as study focuses due to their genome-wide expression through multiple mechanisms in which regulation of target gene transcription through interaction with transcription factors or epigenetic proteins is proven. In the present work, we focus on the functional role of LINC00035 in OC and its regulation mechanism on gene expression.

Methods

We collected OC tissues and adjacent tumor-free tissues surgically resected from 67 OC patients. Cultured human OC cell lines SKOV3 and A2780 were assayed for their viability, migration, invasion, apoptosis in vitro using CCK-8 assays, transwell assays, and flow cytometric analysis. OC cell tumorigenesis in vivo was evaluated by mouse xenograft experiments. Glycolysis was evaluated by glucose uptake, lactate release, and ATP production assays. Luciferase activity assay, RNA immunoprecipitation (RIP), and RNA pull-down were performed to confirm the interactions among LINC00035, CEBPB, and SLC16A3.

Results

LINC00035 was upregulated in OC tissues. LINC00035 knockdown was shown to repress SKOV3 and A2780 cell viability, migration, invasion, induce their apoptosis, and reduce glucose uptake, lactate release, and ATP production. LINC00035 could recruit CEBPB into the SLC16A3 promoter region, thus increasing the SLC16A3 transcription. SLC16A3 was upregulated in OC tissues. SLC16A3 knockdown exerted similar effects on SKOV3 and A2780 cells as LINC00035 knockdown. Rescue experiments found SLC16A3 overexpression resisting to LINC00035 knockdown on SKOV3 and A2780 cell viability, migration, invasion, apoptosis, glucose uptake, lactate release, and ATP production. Results also showed LINC00035 knockdown could inhibit OC cell tumorigenesis in vivo.

Conclusion

The study reveals that LINC00035 promotes OC progression by regulating glycolysis and cell apoptosis through CEBPB-mediated transcriptional promotion of SLC16A3.

Long non-coding RNA NORAD promotes pancreatic cancer stem cell proliferation and self-renewal by blocking microRNA-202-5p-mediated ANP32E inhibition

Background

Cancer stem cells (CSCs) are key regulators in the processes of tumor initiation, progression, and recurrence. The mechanism that maintains their stemness remains enigmatic, although the role of several long noncoding RNAs (lncRNAs) has been highlighted in the pancreatic cancer stem cells (PCSCs). In this study, we first established that PCSCs overexpressing lncRNA NORAD, and then investigated the effects of NORAD on the maintenance of PCSC stemness.

Methods

Expression of lncRNA NORAD, miR-202-5p and ANP32E in PC tissues and cell lines was quantified after RNA isolation. Dual-luciferase reporter assay, RNA pull-down and RIP assays were performed to verify the interactions among NORAD, miR-202-5p and ANP32E. We then carried out gain- and loss-of function of miR-202-5p, ANP32E and NORAD in PANC-1 cell line, followed by measurement of the aldehyde dehydrogenase activity, cell viability, apoptosis, cell cycle distribution, colony formation, self-renewal ability and tumorigenicity of PC cells.

Results

LncRNA NORAD and ANP32E were upregulated in PC tissues and cells, whereas the miR-202-5p level was down-regulated. LncRNA NORAD competitively bound to miR-202-5p, and promoted the expression of the miR-202-5p target gene ANP32E thereby promoting PC cell viability, proliferation, and self-renewal ability in vitro, as well as facilitating tumorigenesis of PCSCs in vivo.

Conclusion

Overall, lncRNA NORAD upregulates ANP32E expression by competitively binding to miR-202-5, which accelerates the proliferation and self-renewal of PCSCs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-021-03052-5.

Signal transducer and activator of transcription 3 signaling in tumor immune evasion

The underlying mechanism of tumor immune evasion is a highly concerning subject for researchers. Increasing evidences reveal that the over-activated signal transducer and activator of transcription 3 (STAT3) is a crucial molecular hub in malignant tumors. STAT3 controls autophagy molecules that impair CTL-mediated tumor cell lysis, inhibiting natural killer cells and inducing apoptosis in T lymphocytes to create an immunosuppressive environment. STAT3 signaling regulates the expression of immune factors and recruits immunosuppressive cells to establish a tolerant tumor microenvironment (TME). STAT3 signaling regulates the expression of immune factors and recruits immunosuppressive cells to create an immunosuppressive environment. All this aid tumor cells in escaping from immune surveillance. In this review, we outlined the STAT3-mediated mechanisms involved in tumor immune evasion and their potential regulatory functions in the TME. We discussed the impact of STAT3 signaling on PD-L1, HIF-1α, exosome, lncRNA, and autophagy in the promotion of tumor immune evasion and highlighted the recent research on STAT3 signaling and tumor immune evasion that may assist in developing effective STAT3-targeted drugs for advancing immunotherapy.

LncRNA SNHG20 promotes cell proliferation and invasion by suppressing miR-217 in ovarian cancer

Background

Ovarian cancer is the most common female gynecological malignancy. SNHG20, as a long non-coding RNA, has been proven to be an important regulator in the occurrence and development of various tumors. However, the potential mechanism of SNHG20 in ovarian cancer is unclear.

Objective

The present study was aimed to investigate the functions and mechanisms of SNHG20 in ovarian cancer.

Methods

The expression of SNHG20 and miR-217 in ovarian cancer tissues and cell lines was detected by qRT-PCR. CCK-8 assay was used to measure cell proliferation in transfected cells. The transwell assay was used to detect the relative invasion rate of transfected cells. The putative binding sites between SNHG20 and miR-217 were predicted by software LncBase v.2, and the interaction between SNHG20 and miR-217 was confirmed by dual-luciferase reporter assays and RIP assay. The rescue experiments were used to illustrate potential mechanisms.

Results

SNHG20 was upregulated in ovarian cancer tissues and cell lines. Overexpression of SNHG20 promoted ovarian cancer cell proliferation and invasion. MiR-217 was downregulated in ovarian cancer tissues and cells, and was negatively regulated by SNHG20. Moreover, miR-217 overexpression inhibited ovarian cancer cell proliferation and invasion. Furthermore, miR-217 mimic reversed the inhibitory effect of SNHG20 overexpression on the biological behavior of ovarian cancer cells.

Conclusions

SNHG20 promoted cell proliferation and invasion by sponging miR-217 in ovarian cancer. These results suggested that SNHG20 and miR-217 might provide new targets for therapeutic application in ovarian cancer.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13258-021-01138-4.

LncRNA SNHG17 Contributes to the Progression of Cervical Cancer by Targeting microRNA-375-3p

Purpose

Cervical cancer is a great threat to women’s health all over the world. Non-coding RNAs performed a wide range of functions. This study aimed to clarify the clinical significance and biological function of lncRNA SNHG17 and miRNA-375-3p (miR-375-3p) in cervical cancer (CC).

Patients and Methods

Blood samples from 124 CC patients and 119 healthy volunteers were collected. The relative expression of SNHG17 and miR-375-3p in CC patient serums and cells was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). The receiver operating curve (ROC) was plotted for diagnostic value estimation. The CCK-8 and transwell assay were conducted to explore the function of SNHG17 on CC cells. A luciferase reporter assay was carried out to confirm the interaction of SNHG17 and miR-375-3p. Rescue experiments were performed to verify the interaction.

Results

SNHG17 showed an ascending expression while miR-375-3p descended in the serum of CC patients. For SNHG17 and miR-375-3p, respectively, the AUC was 0.863 and 0.869, the sensitivity was 84.7% and 75.8%, and the specificity was 78.2% and 86.6%. Knockdown of SNHG17 inhibited proliferation, migration, and invasion of CC cells. Serum SNHG17 expression was negatively correlated with miR-375-3p expression, and miR-375-3p was the target miRNA of SNHG17. Rescue experiments verified the knockdown of SNHG17 inhibited cell growth through repressing miR-375-3p expression.

Conclusion

SNHG17 and miR-375-3p have the potential to be diagnostic markers for CC. Overexpression of SNHG17 in CC promoted the progression of CC partly via targeting miR-375-3p, implying a novel therapeutic target for CC emerging.

Identification of Cancer Cell Stemness-Associated Long Noncoding RNAs for Predicting Prognosis of Patients with Hepatocellular Carcinoma

Long noncoding RNAs (lncRNAs) are emerging as crucial contributors to the development of hepatocellular carcinoma (HCC) and are involved in the stemness regulation of liver cancer stem cells (LCSCs). However, cancer cell stemness-associated lncRNAs and their relevance in prediction of clinical prognosis remain largely unexplored. In this study, through the transcriptome-wide screen, we identified a total of 136 LCSC-associated lncRNAs. We evaluated the prognostic value of these lncRNAs and optimally established an 11-lncRNA (including AC008622.2, AC015908.3, AC020915.2, AC025176.1, AC026356.2, AC099850.3, CYTOR, DDX11-AS1, HTR2A-AS1, LINC02870, and SNHG3) prognostic risk model. Multivariate analysis revealed that the risk score is an independent prognostic predictor for HCC patients, which outperforms the traditional clinical pathological factors. Gene set enrichment analysis suggested that the high-risk score reflects the alteration of pathways involved in cell cycle, oxidative phosphorylation, and metabolism. Furthermore, functional studies on SNHG12, the leading candidate of the risk lncRNAs, revealed that knockdown of SNHG12 reduces the abilities of HCC cells stemness, proliferation, migration, and invasion. In summary, we constructed a prognostic risk model based on 11 LCSC-associated lncRNAs, which might be a promising prognostic predictor for HCC patients and highlight the involvement of lncRNAs in LCSC-associated treatment strategy in clinical practice.

lncRNA SNHG17 promotes pancreatic carcinoma progression via cross-talking with miR-942

OBJECTIVE

Long non-coding RNA (lncRNA) SNHG17 has been shown to modulate the biological behavior of multiple cancers (e.g., colorectal and lung cancers). However, its involvement in pancreatic cancer (PC) has not been explored; therefore, in the present study, we sought to examine this involvement.

METHODS

First, the mRNA expression levels of various genes were quantified in PC tissues and cell lines using quantitative reverse-transcription PCR (qRT-PCR). The interaction between SNHG17 and miR-942 was explored by bioinformatics prediction as well as a dual luciferase reporter assay. The proliferation and viability of pancreatic carcinoma cells were examined using cell counting kit-8 and MTT assays, respectively. Cellular migratory and invasive properties were evaluated using transwell migration and wound healing assays. Cell death was measured using flow cytometry. Protein expression was quantified by western blotting.

RESULTS

SNHG17 expression was markedly higher in human PC specimens and cell lines than in normal healthy tissues and pancreatic epithelial cells. MiR-942 expression displayed the opposite trend. Bioinformatics prediction and a dual luciferase reporter assay confirmed that SNHG17 serves as a sponge for miR-942. Loss-of-function assay revealed that SNHG17 silencing reduced the proliferation and viability of PC cells, impaired their migratory and invasive capacities, and led to their apoptosis. All these changes could be reversed by miR-942 inhibition. Further mechanical studies showed that SNHG17 silencing decreased the expression of several tumor modulators, including XXX, and this decrease was countered by miR-942 inhibition.

CONCLUSION

Our study provides experimental evidence for an interaction between SNHG17 and miR-942, which may unveil a new approach for PC pharmacotherapy.