Sinomenine hydrochloride exerts antitumor outcome in ovarian cancer cells by inhibition of long non-coding RNA HOST2 expression

Sinomenine ameliorates adjuvant-induced arthritis by inhibiting the autophagy/NETosis/inflammation axis

Studies have found that neutrophil extracellular traps (NETs) which are the specific dying form of neutrophil upon activation have fundamental role in the rheumatoid arthritis onset and progression. The purpose of this study was to explore the therapeutic effect of Sinomenine on adjuvant-induced arthritis in mice, and the neutrophil activities regulated by Sinomenine. The rheumatoid arthritis model was established by local injection of adjuvant and the Sinomenine treatment was administered orally for 30 days, during which, arthritic scores were evaluated and the joint diameter was measured to determine disease progression. The joint tissues and serum were acquired for further tests after sacrifice. Cytometric beads assay was performed to measure the concentration of cytokines. For paraffin-embedded ankle tissues, hematoxylin and erosin staining and Safranin O-fast staining were adopted to monitor the tissue changes of joint. In order to analyze the inflammation, NETs and autophagy of neutrophils in vivo, immunohistochemistry assays were applied to detect the protein expression levels in the local joints. To describe the effect brought by Sinomenine on inflammation, autophagy and NETs in vitro, the western blotting and the immunofluorescence assays were performed. The joint symptoms of the adjuvant induced arthritis were alleviated by the Sinomenine treatment significantly in terms of the ankle diameter and scores. The improvement of local histopathology changes and decrease of inflammatory cytokines in the serum also confirmed the efficacy. The expression levels of interleukin-6, P65 and p-P65 in the ankle areas of mice were remarkably reduced by Sinomenine. Compared with the model group, the decreased expression levels of lymphocyte antigen 6 complex and myeloperoxidase in the Sinomenine treating group showed the inhibitory effect of Sinomenine on the neutrophil migration. The expression of protein arginine deiminase type 4 (PAD4), ctrullinated histone H3 (CitH3) and microtubule-associated protein 1 light chain 3B (LC3B) had the similar tendency. Upon activation of lipopolysaccharide (LPS) in vitro, Sinomenine suppressed the phosphorylation of P65, extracellular signal-regulated kinase (ERK) and P38 of neutrophil. Meanwhile, Sinomenine inhibited NETs formation induced by phorbol 12-myristate 13-acetate (PMA), which were demonstrated by the decreased expression of neutrophil elastase (NE), PAD4 and CitH3. Sinomenine also inhibited PMA-induced autophagy in vitro based on the changes of Beclin-1 and LC3B. Sinomenine has good efficacy in treating adjuvant induced arthritis via regulating neutrophil activities. Apart from inhibiting activation of nuclear factor kappa-B (NF-κB) and mitogen-activated protein kinase (MAPK) pathways, the mechanism includes suppression of NETs formation via autophagy inhibition.

Emerging roles of long noncoding RNAs in chemoresistance of pancreatic cancer

Pancreatic cancer is one of the most common causes of cancer death in the world due to the lack of early symptoms, metastasis occurrence and chemoresistance. Therefore, early diagnosis by detection of biomarkers, blockade of metastasis, and overcoming chemoresistance are the effective strategies to improve the survival of pancreatic cancer patients. Accumulating evidence has revealed that long noncoding RNA (lncRNA) and circular RNAs (circRNAs) play essential roles in modulating chemosensitivity in pancreatic cancer. In this review article, we will summarize the role of lncRNAs in drug resistance of pancreatic cancer cells, including HOTTIP, HOTAIR, PVT1, linc-ROR, GAS5, UCA1, DYNC2H1-4, MEG3, TUG1, HOST2, HCP5, SLC7A11-AS1 and CASC2. We also highlight the function of circRNAs, such as circHIPK3 and circ_0000284, in regulation of drug sensitivity of pancreatic cancer cells. Moreover, we describe a number of compounds, including curcumin, genistein, resveratrol, quercetin, and salinomycin, which may modulate the expression of lncRNAs and enhance chemosensitivity in pancreatic cancers. Therefore, targeting specific lncRNAs and cicrRNAs could contribute to reverse chemoresistance of pancreatic cancer cells. We hope this review might stimulate the studies of lncRNAs and cicrRNAs, and develop the new therapeutic strategy via modulating these noncoding RNAs to promote chemosensitivity of pancreatic cancer cells.

Inferring Latent Disease-lncRNA Associations by Label-Propagation Algorithm and Random Projection on a Heterogeneous Network

Long noncoding RNA (lncRNA), a type of more than 200 nucleotides non-coding RNA, is related to various complex diseases. To precisely identify the potential lncRNA–disease association is important to understand the disease pathogenesis, to develop new drugs, and to design individualized diagnosis and treatment methods for different human diseases. Compared with the complexity and high cost of biological experiments, computational methods can quickly and effectively predict potential lncRNA–disease associations. Thus, it is a promising avenue to develop computational methods for lncRNA-disease prediction. However, owing to the low prediction accuracy ofstate of the art methods, it is vastly challenging to accurately and effectively identify lncRNA-disease at present. This article proposed an integrated method called LPARP, which is based on label-propagation algorithm and random projection to address the issue. Specifically, the label-propagation algorithm is initially used to obtain the estimated scores of lncRNA–disease associations, and then random projections are used to accurately predict disease-related lncRNAs.The empirical experiments showed that LAPRP achieved good prediction on three golddatasets, which is superior to existing state-of-the-art prediction methods. It can also be used to predict isolated diseases and new lncRNAs. Case studies of bladder cancer, esophageal squamous-cell carcinoma, and colorectal cancer further prove the reliability of the method. The proposed LPARP algorithm can predict the potential lncRNA–disease interactions stably and effectively with fewer data. LPARP can be used as an effective and reliable tool for biomedical research.

Sinomenine Inhibits the Progression of Bladder Cancer Cells by Downregulating LncRNA-HEIH Expression

Background

Sinomenine has been reported to effectively repress the progression of lung cancer and breast cancer. However, the effects of sinomenine in bladder cancer are not well understood. The purpose of this study was to evaluate the effects of sinomenine in bladder cancer.

Methods

The mRNA expression of HEIH in bladder cancer cells was measured by RT-qPCR. T24 and SW780 cells were treated with sinomenine for 24 hours. Cell viability was detected by the MTT assay. Cell migration and invasion were detected by the transwell assay. Western blotting assay was performed to assess the protein expression of Bcl-2, Bax, and caspase-3.

Results

Sinomenine significantly suppressed cell viability in T24 and SW780 cells. Moreover, cell migration and invasion were significantly inhibited by sinomenine. Sinomenine accelerated the expression of Bax and caspase-3 but decreased the expression of Bcl-2. HEIH was upregulated in bladder cancer cells compared with normal bladder epithelial cells. Besides this, we noticed that HEIH knockdown blocked cell proliferation, migration, and invasion but facilitated cell apoptosis in bladder cancer cells. Additionally, HEIH reversed the suppression of the progression induced by sinomenine.

Conclusion

Sinomenine was observed to suppress cell progression of bladder cancer cells by inhibiting HEIH expression. Our findings suggested that the use of sinomenine might be an effective treatment for bladder cancer.

Sinomenine-phenolic acid coamorphous drug systems: Solubilization, sustained release, and improved physical stability

Sinomenine (SIN), isolated from Caulis sinomenii, is a benzyltetrahydroisoquinoline-type alkaloid with potent anti-inflammatory and analgesic effects. SIN-HCl has been used in the forms of tablets or enteric-coated tablets in the treatment of rheumatoid arthritis in China for years, while its short half-life leads to attenuated therapeutic effects and serious side effects. In the current study, three phenolic acids, including salicylic acid (SAA), 2,3-dihydroxybenzoic acid (23DHB), and 2,4-dihydroxybenzoic acid (24DHB), were firstly employed as coamorphous coformers to prepare three binary SIN-phenolic acid coamorphous systems. These new coamorphous systems were characterized by powder X-ray diffraction (PXRD), modulated temperature differential scanning calorimetry (mDSC), and Fourier transform infrared spectroscopy (FTIR). The formation of SIN-phenolic acid coamorphous systems are supported by the absence of diffraction peaks in their PXRD spectra, as well as the single T_gs of three samples (i.e., SIN-SAA, SIN-23DHB, and SIN-24DHB) at 109.5 °C, 124.9 °C, and 135.3 °C. Importantly, the salt formation between SIN and phenolic acids was observed in FTIR. In three coamorphous systems, coamorphous SIN-24DHB shows superior physicochemical stability under both low humidity and accelerated storage conditions. They were also more soluble than crystalline SIN, while were released slower than the commercial SIN-HCl in dissolution experiments. Therefore, our study suggests that phenolic acids may be used as a new type of coformers in the preparation of coamorphous systems for active pharmaceutical ingredients.

Sinomenine Inhibits the Growth of Ovarian Cancer Cells Through the Suppression of Mitosis by Down-Regulating the Expression and the Activity of CDK1

Introduction

Ovarian cancer is one of the most common gynecological cancers worldwide. While, therapies against ovarian cancer have not been completely effective, sinomenine has been proved to have anti-tumor activity in various cancer cells. However, study of its anti-ovarian cancer effect is still rare, and the underlying mechanism has not been elucidated. Therefore, we aim to explore the mechanism of sinomenine anti-ovarian cancer.

Materials and Methods

The effect of anti-ovarian cancer HeyA8 cells was analyzed by CCK8 and colony formation assay. The mechanism of sinomenine anti-ovarian cancer was explored via high throughput RNA-seq, and then the target mRNA and protein expression were verified by real-time PCR and Western blot, respectively.

Results

We found that the proliferation and clone formation ability of ovarian cancer HeyA8 cells were markedly reduced by 1.56 mM sinomenine. The transcriptome analysis showed that 2679 genes were differentially expressed after sinomenine treatment in HeyA8 cells, including 1323 down-regulated genes and 1356 up-regulated genes. Gene ontology and KEGG pathway enrichment indicated that differential expression genes (DEGs) between the groups of sinomenine and DMSO-treated HeyA8 cells were mainly involved in the process of the cell cycle, such as kinetochore organization, chromosome segregation, and DNA replication. Strikingly, the top 18 ranked degree genes in the protein-protein interaction (PPI) network were mainly involved in the process of mitosis, such as sister chromatid segregation, condensed chromosome, and microtubule cytoskeleton organization. Moreover, real-time PCR results showed consistent expression trends of DEGs with transcriptome analysis. The results of Western blot showed the expression level of CDK1, which was the highest degree gene in PPI and the main regulator controlling the process of mitosis, and the levels of phosphorylated P-CDK (Thr161) and P-Histone H3 (Ser10) were decreased after being treated with sinomenine.

Conclusion

Our results demonstrated that sinomenine inhibited the proliferation of HeyA8 cells through suppressing mitosis by down-regulating the expression and the activity of CDK1. The study may provide a preliminary research basis for the application of sinomenine in anti-ovarian cancer.

The Potential Diagnostic Value of Exosomal Long Noncoding RNAs in Solid Tumors: A Meta-Analysis and Systematic Review

Background

Exosomes are defined as small membranous vesicles. After RNA content was discovered in exosomes, they emerged as a novel approach for the treatment and diagnosis of cancer. Long noncoding RNAs (lncRNA), a kind of specific RNA transcript, have been reported to function as tumor growth, metastasis, invasion, and prognosis by regulating the tumor microenvironment in exosomes. This study aims at exploring the potential diagnostic of exosomal lncRNA in solid tumors.

Methods

A meta-analysis conducted from January 2000 to October 2019 identified publications in the English language. We searched all relevant English literature from the Web of Science, EMBASE, and PubMed databases through October 1, 2019. The articles were strictly screened by our criteria and critiqued using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Results

There were 28 studies with 19 articles (4017 patients) identified, including studies on gastric cancer, laryngeal squamous cell carcinoma, colorectal cancer, cholangiocarcinoma, breast cancer, esophageal squamous cell carcinoma, hepatocellular carcinoma, nonsmall cell lung cancer, and prostate cancer. A meta-analysis showed that the combined value of sensitivity in 29 studies was 0.74 (95% confidence interval [CI], 0.7-0.78), and the combined value of specificity in the studies was 0.81 (95% CI, 0.78-0.83). This suggests the high diagnostic efficacy of liquid exosomes in cancer patients. It is statistically insignificant in terms of sex, ethnicity, and year. The diagnostic power of urinary system tumors was found to be higher than that of digestive system tumors by several subgroup analyses.

Conclusions

We performed a meta-analysis and literature review of 28 studies that included 4017 patients with 10 malignant cancer types. Mechanistically, our study demonstrated that lncRNAs in exosomes could be a promising bioindicator for the diagnosis and prognosis of solid tumors. INPLASY Registration Number: INPLASY202060083.

Sinomenine Can Inhibit the Growth and Invasion Ability of Retinoblastoma Cell through Regulating PI3K/AKT Signaling Pathway

Sinomenine was found to play anti-cancer functions in different type of cancers, while the mechanisms underlying the anticancer effects of sinomenine in retinoblastoma (RB) remains unclear. The present study was designed to explore the impacts of sinomenine on cell proliferation and invasion ability of RB cells and the related mechanism. Human retinoblastoma cell line WERI-RB-1 and Y79 cells were cultured and treated by different concentration of sinomenine, and then the proliferation ability of the cells was determined via performing the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) proliferation assay. The cell apoptosis was examined via performing the flow cytometry assay. Then scratch wound healing analysis as well as and transwell invasion analysis have been performed to determine the effect of sinomenine on cell migration ability as well as invasion ability. The proteins level of phosphatidylinositol 3-kinase (PI3K)/AKT signaling molecules were determined with Western blot assay. We found that sinomenine was able to decrease the proliferation and promote the apoptosis of RB cells in a dose-dependent manner; moreover, sinomenine also significantly suppressed the migration as well as invasion ability of WERI-RB-1 and Y79 cells in vitro. Furthermore, sinomenine also de-activated PI3K/AKT signaling in WERI-RB-1 cells via inhibited the phosphorylation of PI3K and AKT proteins. Sinomenine can exert anti-tumor function on RB cells in vitro, therefore sinomenine might be a potential alterative medication for the treatment for RB.

The Challenges and Opportunities of LncRNAs in Ovarian Cancer Research and Clinical Use

Ovarian cancer is one of the most lethal gynecological malignancies worldwide because it tends to be detected late, when the disease has already spread, and prognosis is poor. In this review we aim to highlight the importance of long non-coding RNAs (lncRNAs) in diagnosis, prognosis and treatment choice, to make progress towards increasingly personalized medicine in this malignancy. We review the effects of lncRNAs associated with ovarian cancer in the context of cancer hallmarks. We also discuss the molecular mechanisms by which lncRNAs become involved in cellular physiology; the onset, development and progression of ovarian cancer; and lncRNAs' regulatory mechanisms at the transcriptional, post-transcriptional and post-translational stages of gene expression. Finally, we compile a series of online resources useful for the study of lncRNAs, especially in the context of ovarian cancer. Future work required in the field is also discussed along with some concluding remarks.