Pokemon inhibits Bim transcription to promote the proliferation, anti-anoikis, invasion, histological grade, and dukes stage of colorectal neoplasms.

PURPOSE: This study aims to determine whether Pokemon regulates Bim activity in colorectal carcinoma (CRC) carcinogenesis. METHODS: Clinical tissue samples were analyzed to detect the expression and clinicopathological significance of Pokemon and Bim in CRC. Proliferation, apoptosis, and invasion assays were conducted to identify the regulatory effect of Pokemon on Bim. The combined treatment effects of Pokemon knockdown and diamminedichloroplatinum (DDP) were also examined. RESULTS: Immunohistochemical analysis of 80 samples of colorectal epithelia (CRE), 80 cases of colorectal adenoma (CRA), and 160 of CRC samples revealed protein expression rates of 23.8%, 38.8%, and 70.6% for Pokemon, and 88.8%, 73.8%, and 31.9% for Bim, respectively. A significant negative correlation was observed between Pokemon and Bim expression across the CRE, CRA, and CRC lesion stages. In CRC, higher Pokemon and lower Bim expression correlated with higher histological grades, advanced Dukes stages, and increased cancer invasion. In both LoVo and HCT116 cells, overexpression of Pokemon significantly reduced Bim expression, leading to increased proliferation, resistance to anoikis, and cell invasion. Additionally, Pokemon overexpression significantly decreased DDP-induced Bim expression, reduction of anti-apoptosis and invasion, whereas Pokemon knockdown resulted in the opposite effects. CONCLUSION: These findings suggest that Pokemon inhibits Bim transcription, thereby promoting CRC proliferation, resistance to apoptosis, invasion, and advancing histological grade and Dukes staging. Pokemon knockdown enhances the therapeutic efficacy of DDP in the treatment of CRC.

Gasdermin D deficiency aborts myeloid calcium influx to drive granulopoiesis in lupus nephritis.

Gasdermin D (GSDMD) is emerging as an important player in autoimmune diseases, but its exact role in lupus nephritis (LN) remains controversial. Here, we identified markedly elevated GSDMD in human and mouse LN kidneys, predominantly in CD11b+ myeloid cells. Global or myeloid-conditional deletion of GSDMD was shown to exacerbate systemic autoimmunity and renal injury in lupus mice with both chronic graft-versus-host (cGVH) disease and nephrotoxic serum (NTS) nephritis. Interestingly, RNA sequencing and flow cytometry revealed that myeloid GSDMD deficiency enhanced granulopoiesis at the hematopoietic sites in LN mice, exhibiting remarkable enrichment of neutrophil-related genes, significant increases in total and immature neutrophils as well as granulocyte/macrophage progenitors (GMPs). GSDMD-deficient GMPs and all-trans-retinoic acid (ATRA)-stimulated human promyelocytes NB4 were further demonstrated to possess enhanced clonogenic and differentiation abilities compared with controls. Mechanistically, GSDMD knockdown promoted self-renewal and granulocyte differentiation by restricting calcium influx, contributing to granulopoiesis. Functionally, GSDMD deficiency led to increased pathogenic neutrophil extracellular traps (NETs) in lupus peripheral blood and bone marrow-derived neutrophils. Taken together, our data establish that GSDMD deletion accelerates LN development by promoting granulopoiesis in a calcium influx-regulated manner, unraveling its unrecognized critical role in LN pathogenesis.

Knockout of integrin αvß6 protects against renal inflammation in chronic kidney disease by reduction of pro-inflammatory macrophages.

Integrin αvß6 holds promise as a therapeutic target for organ fibrosis, yet targeted therapies are hampered by concerns over inflammatory-related side effects. The role of αvß6 in renal inflammation remains unknown, and clarifying this issue is crucial for αvß6-targeted treatment of chronic kidney disease (CKD). Here, we revealed a remarkable positive correlation between overexpressed αvß6 in proximal tubule cells (PTCs) and renal inflammation in CKD patients and mouse models. Notably, knockout of αvß6 not only significantly alleviated renal fibrosis but also reduced inflammatory responses in mice, especially the infiltration of pro-inflammatory macrophages. Furthermore, conditional knockout of αvß6 in PTCs in vivo and co-culture of PTCs with macrophages in vitro showed that depleting αvß6 in PTCs suppressed the migration and pro-inflammatory differentiation of macrophages. Screening of macrophage activators showed that αvß6 in PTCs activates macrophages via secreting IL-34. IL-34 produced by PTCs was significantly diminished by αvß6 silencing, and reintroduction of IL-34 restored macrophage activities, while anti-IL-34 antibody restrained macrophage activities enhanced by αvß6 overexpression. Moreover, RNA-sequencing of PTCs and verification experiments demonstrated that silencing αvß6 in PTCs blocked hypoxia-stimulated IL-34 upregulation and secretion by inhibiting YAP expression, dephosphorylation, and nuclear translocation, which resulted in the activation of Hippo signaling. While application of a YAP agonist effectively recurred IL-34 production by PTCs, enhancing the subsequent macrophage migration and activation. Besides, reduced IL-34 expression and YAP activation were also observed in global or PTCs-specific αvß6-deficient injured kidneys. Collectively, our research elucidates the pro-inflammatory function and YAP/IL-34/macrophage axis-mediated mechanism of αvß6 in renal inflammation, providing a solid rationale for the use of αvß6 inhibition to treat kidney inflammation and fibrosis.

Long-chain polyunsaturated fatty acids influence colorectal cancer progression via the interactions between the intestinal microflora and the macrophages.

The metabolism of long-chain polyunsaturated fatty acids (LCPUFAs) is closely associated with the risk and progression of colorectal cancer (CRC). This paper aims to investigate the role of LCPUFA in the crosstalk between intestinal microflora and macrophages, as well as the effects of these three parties on the progression of CRC. The metabolism and function of LCPUFA play important roles in regulating the composition of the human gut microflora and participating in the regulation of inflammation, ultimately affecting macrophage function and polarization, which is crucial in the tumor microenvironment. The effects of LCPUFA on cellular interactions between the two species can ultimately influence the progression of CRC. In this review, we explore the molecular mechanisms and clinical applications of LCPUFA in the interactions between intestinal microflora and intestinal macrophages, as well as its significance for CRC progression. Furthermore, we reveal the role of LCPUFA in the construction of the CRC microenvironment and explore the key nodes of the interactions between intestinal flora and intestinal macrophages in the environment. It provides potential targets for the metabolic diagnosis and treatment of CRC.

Role of Exosomal Non-Coding RNA in the Tumour Microenvironment of Genitourinary System Tumours.

In recent years, genitourinary system tumors are common in people of all ages, seriously affecting the quality of life of patients, the pathogenesis and treatment of these diseases are constantly being updated and improved. Exosomes, with a lipid bilayer that enable delivery of their contents into body fluids or other cells. Exosomes can regulate the tumor microenvironment, and play an important role in tumor development. In turn, cellular and non-cellular components of tumor microenvironment also affect the occurrence, progression, invasion and metastasis of tumor. Non-coding RNAs have been shown to be able to be ingested and released by exosomes, and are seen as a potential tool in cancer diagnosis and treatment. Here, we summarize the effect of non-coding RNAs of exosome contents on the tumor microenvironment of genitourinary system tumor, expound the significance of non-coding RNAs of exosome in the occurrence, development, diagnosis and treatment of cancers.

Enhancing Drug Repositioning through Local Interactive Learning with Bilinear Attention Networks.

Drug repositioning has emerged as a promising strategy for identifying new therapeutic applications for existing drugs. In this study, we present DRGBCN, a novel computational method that integrates heterogeneous information through a deep bilinear attention network to infer potential drugs for specific diseases. DRGBCN involves constructing a comprehensive drug-disease network by incorporating multiple similarity networks for drugs and diseases. Firstly, we introduce a layer attention mechanism to effectively learn the embeddings of graph convolutional layers from these networks. Subsequently, a bilinear attention network is constructed to capture pairwise local interactions between drugs and diseases. This combined approach enhances the accuracy and reliability of predictions. Finally, a multi-layer perceptron module is employed to evaluate potential drugs. Through extensive experiments on three publicly available datasets, DRGBCN demonstrates better performance over baseline methods in 10-fold cross-validation, achieving an average area under the receiver operating characteristic curve (AUROC) of 0.9399. Furthermore, case studies on bladder cancer and acute lymphoblastic leukemia confirm the practical application of DRGBCN in real-world drug repositioning scenarios. Importantly, our experimental results from the drug-disease network analysis reveal the successful clustering of similar drugs within the same community, providing valuable insights into drug-disease interactions. In conclusion, DRGBCN holds significant promise for uncovering new therapeutic applications of existing drugs, thereby contributing to the advancement of precision medicine.

Identification of shared gene signatures and molecular mechanisms between chronic kidney disease and ulcerative colitis.

Background: There is a complex interaction between chronic kidney disease (CKD) and ulcerative colitis (UC), but the pathophysiological mechanisms underlying the coexistence of CKD and UC are unclear. This study aimed to investigate the key molecules and pathways that may mediate the co-occurrence of CKD and UC through quantitative bioinformatics analysis based on a public RNA-sequencing database. Methods: The discovery datasets of CKD (GSE66494) and UC (GSE4183), as well as validation datasets of CKD (GSE115857) and UC (GSE10616), were downloaded from the Gene Expression Omnibus (GEO) database. After identifying differentially expressed genes (DEGs) with GEO2R online tool, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for the DEGs were performed. Next, protein-protein interaction network was constructed with Search Tool for the Retrieval of Interacting Genes (STRING) and visualized by Cytoscape. Gene modules were identified by the plug-in MCODE and hub genes were screened using the plug-in CytoHubba. Then, correlation between immune cell infiltration and hub genes was analyzed, and the receiver operating characteristic curves were used to assess the predictive value of hub genes. Finally, immunostaining of human specimens was used to validate the relevant findings. Results: A total of 462 common DEGs were identified and selected for further analyses. GO and KEGG enrichment analyses indicated that these DEGs were primarily enriched in immune- and inflammation-related pathways. Among them, the PI3K-Akt signaling pathway ranked top in both discovery and validation cohorts, and the key signal molecule phosphorylated Akt (p-Akt) was shown to be significantly overexpressed in human CKD kidneys and UC colons, and further elevated in CKD-UC comorbidity specimens. Moreover, nine candidate hub genes, including CXCL8, CCL2, CD44, ICAM1, IL1A, CXCR2, PTPRC, ITGAX, and CSF3, were identified, of which ICAM1 was validated as a common hub gene. Besides, immune infiltration analysis revealed that neutrophils, macrophages, and CD4+ T memory cells significantly accumulated in both diseases, and ICAM1 was remarkably associated with neutrophil infiltration. Furthermore, intercellular adhesion molecule1 (ICAM1)-mediated neutrophil infiltration was validated to be upregulated in kidney and colon biopsies of CKD and UC patients, and further increased in patients diagnosed with both CKD and UC. Finally, ICAM1 had shown critical value as a diagnostic marker for the co-occurrence of CKD and UC. Conclusions: Our study elucidated that immune response, PI3K-Akt signaling pathway, and ICAM1-mediated neutrophil infiltration might be the common pathogenesis of CKD and UC, and identified ICAM1 as a key potential biomarker and therapeutic target for the comorbidity of these two diseases.

Message in hand: the application of CRISPRi, RNAi, and LncRNA in adenocarcinoma.

Gene editing interference technology has been flourishing for more than 30 years. It has always been a common means to interfere with the expression of particular genes. Today it has shown a broad application prospect in clinical treatment, especially in adenocarcinoma treatment. In just a few years, the CRISPRi technology has attracted much z attention with its precise targeting and convenient operability significantly promoted the transformation from bench to bedside, and won the Nobel Prize in Chemistry 2020. In recent years, the importance of non-coding RNA has led LncRNA research to the center. At the same time, it also recalls the surprises obtained in laboratory and clinic research by RNAi technologies such as microRNA, siRNA, and shRNA at the beginning of the century. Therefore, this article focuses on CRISPRi, RNAi, and LncRNA to review their gene interference mechanisms currently expected to be translational research. Their applications and differences in adenocarcinoma research will also be described powerfully. It will provide a helpful reference for scientists to understand better and apply several RNA interference technologies.

Recent advances in the contribution of circRNAs to cisplatin chemotherapy resistance in cancers.

Worldwide, cancer is a serious threat to the health of citizens of every country, with the incidence and mortality increasing year by year. Cisplatin is the first-line anticancer drug commonly used in clinics and is widely used for the treatment of solid tumors including lung, gastric, liver, bladder, and ovarian cancer. Although cisplatin-based chemotherapy has a high clinical response efficacy, patients will inevitably develop drug resistance after repeated use, leading to severe restrictions of its application. Circular RNAs (circRNAs) are a promising class of non-coding RNAs capable of promoting or suppressing cancer via functioning as miRNAs sponges. Recently, an increasing amount of evidence shows that circRNAs are closely related to the cisplatin resistance of cancers. Therefore, standing at the perspective of the cisplatin chemotherapy resistance, this paper reviews the research progress of circRNAs related to cisplatin resistance of various cancers.

Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss.

BACKGROUND: Noonan syndrome (NS), a genetically heterogeneous disorder, presents with hypertelorism, ptosis, dysplastic pulmonary valve stenosis, hypertrophic cardiomyopathy, and small stature. Early detection and assessment of NS are crucial to formulating an individualized treatment protocol. However, the diagnostic rate of pediatricians and pediatric cardiologists is limited. To overcome this challenge, we propose an automated facial recognition model to identify NS using a novel deep convolutional neural network (DCNN) with a loss function called additive angular margin loss (ArcFace). METHODS: The proposed automated facial recognition models were trained on dataset that included 127 NS patients, 163 healthy children, and 130 children with several other dysmorphic syndromes. The photo dataset contained only one frontal face image from each participant. A novel DCNN framework with ArcFace loss function (DCNN-Arcface model) was constructed. Two traditional machine learning models and a DCNN model with cross-entropy loss function (DCNN-CE model) were also constructed. Transfer learning and data augmentation were applied in the training process. The identification performance of facial recognition models was assessed by five-fold cross-validation. Comparison of the DCNN-Arcface model to two traditional machine learning models, the DCNN-CE model, and six physicians were performed. RESULTS: At distinguishing NS patients from healthy children, the DCNN-Arcface model achieved an accuracy of 0.9201 ± 0.0138 and an area under the receiver operator characteristic curve (AUC) of 0.9797 ± 0.0055. At distinguishing NS patients from children with several other genetic syndromes, it achieved an accuracy of 0.8171 ± 0.0074 and an AUC of 0.9274 ± 0.0062. In both cases, the DCNN-Arcface model outperformed the two traditional machine learning models, the DCNN-CE model, and six physicians. CONCLUSION: This study shows that the proposed DCNN-Arcface model is a promising way to screen NS patients and can improve the NS diagnosis rate.

A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.

PURPOSE: In this study, we try to consider the most common type of total anomalous pulmonary venous connection and established a machine learning-based prediction model for postoperative pulmonary venous obstruction by using clinical data and CT images jointly. METHOD: Patients diagnosed with supracardiac TPAVC from January 1, 2009, to December 31, 2018, in Guangdong Province People's Hospital were enrolled. Logistic regression were applied for clinical data features selection, while a convolutional neural network was used to extract CT images features. The prediction model was established by integrating the above two kinds of features for PVO prediction. And the proposed methods were evaluated using fourfold cross-validation. RESULT: Finally, 131 patients were enrolled in our study. Results show that compared with traditional approaches, the machine learning-based joint method using clinical data and CT image achieved the highest average AUC score of 0.943. In addition, the joint method also achieved a higher sensitivity of 0.828 and a higher positive prediction value of 0.864. CONCLUSION: Using clinical data and CT images jointly can improve the performance significantly compared with other methods that using only clinical data or CT images. The proposed machine learning-based joint method demonstrates the practicability of fully using multi-modality clinical data.

Positive Correlative over-Expression between eIF4E and Snail in Nasopharyngeal Carcinoma Promotes its Metastasis and Resistance to Cisplatin.

EIF4E is the rate-limiting factor in the mRNA translation of specific set of oncogenes. Snail is the core transcription factor of epithelial-mesenchymal transition (EMT), a key step of cancer metastasis. The connection between the two oncoproteins has not been well established in the human cancer tissues and in nasopharyngeal carcinoma (NPC). Here we showed that the positive correlative over-expression was seen between eIF4E and Snail in NPC tissues, and the expression was significantly higher in the metastatic NPC than in the un-metastatic NPC. In NPC cells, eIF4E knockdown significantly reduced Snail mRNA and protein levels, increased the mRNA level of E-cad (a direct downstream gene of Snail and a negative EMT marker), attenuated the invasive ability of the cells, and sensitized the cells to cisplatin in invasion. In contrast, enforced the expression of eIF4E significantly increased Snail mRNA and protein levels, and promoted the invasive ability in NPC cells. Under the condition of the high eIF4E expression, Snail knockdown significantly increased E-cad mRNA level and weaken the invasive ability of NPC cells. Finally, eIF4E directly bound Snail mRNA for translation initiation displayed by the RIP assay. Therefore, the results firstly suggested that eIF4E enhanced the Snail expression in both transcription and translation manner in human cancer tissues and targeting the eIF4E/Snail axis might intervene with the EMT and metastasis of NPC. This finding provided a new clue for further understanding the metastatic mechanism of human cancers and for preventing and treating NPC metastasis.

Inhibition of human cervical cancer cell invasion by IL-37 involving runt related transcription factor 2 suppression.

BACKGROUND: IL-37 is a newly anti-inflammatory cytokine whose function is largely unknown in cancer. Our preliminary experiment found IL-37 could inhibit the invasion of human cervical cancer (CC) cells and influence the expression of RUNX family whose function was also unclear in CC. The present study aims to further investigate the effects of IL-37 on cell invasion and runt related transcription factor 2 (RUNX2) expression in CC cell lines. METHODS: Firstly, plasmid overexpressing IL-37 or RUNX2 was transfected into Siha and C33A cells by Hilymax. Then, the effects of IL-37 on the mRNA expression of RUNX1, RUNX2 and RUNX3 gene were detected by quantitative real-time polymerase chain reaction. Protein expression was measured by Western blot and the grayscale scanning analysis. Finally, the effects of IL-37 or RUNX2 on cell invasion were tested by transwell assay. RESULTS: IL-37 inhibited the mRNA expression of RUNX1 and RUNX2, and increased that of RUNX3 in CC cells. Among the three RUNX genes, RUNX2 showed the most significant change in mRNA expression (decreased by78.5% in Siha cells and by 61.5% in C33A cells) and thus was chosen for the following study. Overexpressed IL-37 inhibited cell invasion by 36.23% in Siha cells (P<0.05) and 26.21% in C33A cells (P<0.01). Overexpression of RUNX2 promoted cell invasion. Up-regulation of IL-37 suppressed markedly the mRNA and protein expression of RUNX2. Furthermore, overexpressed RUNX2 partially restored the inhibited cell invasion by IL-37 to 86.62% in Siha cells (P<0.01) and 87.08% in C33A cells (P<0.01). CONCLUSIONS: IL-37 can significantly inhibit the cell invasion of Siha and C33A cells, which involves the suppression of RUNX2.

Y Box-Binding Protein 1 Promotes Epithelial-Mesenchymal Transition, Invasion, and Metastasis of Cervical Cancer via Enhancing the Expressions of Snail.

OBJECTIVE: Y box-binding protein 1 (YB-1) is a potent oncogenic protein. How it regulates Snail in most tumors including cervical cancer is unknown. This article is to study if YB-1 plays a role in cervical cancer via regulating the expression of Snail. METHODS: Immunohistochemical staining of YB-1, Snail, and E-cadherin (E-cad) was performed on tissue specimens including 35 cases of chronic cervicitis (as a control), 35 cases of cervical intraepithelial neoplasm (CIN) I, 35 cases of CIN II/III, 28 cases of unmetastatic cervical squamous cell carcinoma, and 19 cases of metastatic cervical squamous cell carcinoma. RNA interference technique was used to knock down YB-1, E6, and Snail genes. Quantitative polymerase chain reaction, western blot, and transwell experiment were used to detect RNA, protein, and cell invasion of cervical cancer cell lines Hela and C33A, respectively. RESULTS: First, YB-1 knockdown significantly reduced messenger RNA (mRNA) and protein levels of Snail, followed by the increased mRNA and protein levels of E-cad and the decreased invasive ability in both Hela (human papillomavirus [HPV] 18+) and C33A (HPV-) cell lines. Second, YB-1 and Snail protein were correlatively expressed in the group order of metastatic cervical squamous cell carcinoma > unmetastatic cervical squamous cell carcinoma > CINs > cervicitis, with the inverse expression mode of E-cad in the group order, P value less than 0.01, between any 2 groups. Finally, HPV18 E6 knockdown reduced the mRNA and protein levels of YB-1 and Snail in Hela cells. CONCLUSIONS: The results firstly reported that YB-1 whose mRNA expression is regulated by HPV18 E6 promotes epithelial-mesenchymal transition and progression of cervical cancer via enhancing the expressions of Snail, which indicated that YB-1/Snail/epithelial-mesenchymal transition axis could have a potential use in the diagnosis and therapy of cervical cancer metastasis as a cancer marker and molecular target.

Characterization of an epoxide-derived metabolite of dictamnine using high-performance liquid chromatography with hybrid linear trap quadrupole orbitrap mass spectrometry.

Dictamnine (4-methoxyfuro[2,3-b]quinolone), a furoquinoline alkaloid of the Rutaceae plant family, has been reported to be a phototoxic and photomutagenic compound, whose exposure can cause carcinogenicity, cytotoxicity, and genotoxicity. Metabolic activation is suggested to play an important role in dictamnine-induced toxicities, and the epoxide metabolite of dictamnine has been reported to be the main intermediate in vitro. The objective of this study was to identify N-acetylcysteine conjugate(s) derived from this reactive dictamnine metabolite in vitro and in vivo. An N-acetylcysteine conjugate of dictamnine was detected in microsomal incubations of dictamnine, as well as bile and urine samples of rats treated with dictamnine. The data obtained from the present work will facilitate the understanding of the mechanism behind dictamnine-induced toxicities.

[Correlation of Twist and YB-1 up-regulation and epithelial-mesenchymal transition during tumorigenesis and progression of cervical carcinoma].

OBJECTIVE: To investigate the clinicopathological significance of Twist and YB-1 up-regulation in cervical cancer, and to correlate the expression of the two genes with E-cadherin, a marker of epithelial-mesenchymal transition (EMT). METHODS: A total of 202 tissue samples were collected during January 2008 to December 2013, including 50 cases of normal cervical tissues, 100 cases of cervical intraepithelial neoplasia (CIN) and 52 cases of squamous cell carcinoma (SCC). Twist, YB-1 and E-cadherin expression was investigated by MaxVision. RESULTS: Increased expression levels of Twist and YB-1 were found and correlated with the malignant transformation of cervical epithelium, histological progression and metastasis of cervical cancer. In addition, Twist and YB-1 overexpression was also associated with aberrant expression of E-cadherin. Regression analysis revealed that Twist expression was an independent factor for the histological progression of cervical cancer. CONCLUSIONS: It is suggested that Twist and YB-1 overexpression is significantly linked to cervical cancer tumorigenesis and progression, likely related to EMT through (YB-1)-Twist-(E-cadherin) pathway. Twist and YB-1 may be markers for determining the metastatic potential of cervical cancer.

HPV18 E7 induces the over-transcription of eIF4E gene in cervical cancer.

OBJECTIVES: Eukaryotic translation initiation factor 4E (eIF4E) is overexpressed in cervical cancer (CC). However, the molecular mechanisms are unclear. This study aimed to investigate the molecular mechanism of eIF4E gene overexpression in CC. MATERIALS AND METHODS: The human papillomavirus (HPV) type 18 E7 and eIF4E mRNAs were measured following knock down or overexpression of E7 gene by RT-PCR and real-time PCR. Cell counting kit-8 assay was used to determine the cell proliferation. Flow cytometry was used to analyze the cell cycle and apoptosis. Transwell system was employed to determine the cell migration. RESULTS: Overexpression of E7 gene increased eIF4E mRNA level by 24.3% (P<0.01) in HPV negative C33A cells. Knock down of E7 decreased markedly eIF4E mRNA by 73% (P<0.01) in HPV18 positive HeLa cells. Under the state of high expression of E7, 1) up-regulation of eIF4E drastically promoted the cell proliferation, cell cycle and cell migration, and inhibited the cell apoptosis. 2) down-regulation of eIF4E significantly inhibited the cell proliferation, cell cycle and the ability of cell migration, and also promoted the apoptosis of cervical cancer cells. CONCLUSION: HPV E7 induced eIF4E gene over transcription which might be a new marker for CC. The finding broadens the understanding of the CC carcinogenesis.

Interleukin 37 Expression Inhibits STAT3 to Suppress the Proliferation and Invasion of Human Cervical Cancer Cells.

OBJECTIVES: The most recently discovered cytokine interleukin 37 (IL-37) received growing attention. Its function on tumor is largely unknown. Here, we investigated the biological function of IL-37 on cervical cancer (CC). Materials and methods : HPV(+) Hela cells and HPV(-) C33A cells were used. RT-qPCR was performed to detect the transcription of IL-37, STAT3, TNF-αand IL-1ß. Western blotting was used for protein detection. CCK-8 assay and transwell assay were employed for cell proliferation and invasion detection, respectively. Results : Successful gene transfection of IL-37 suppressed the proliferation and invasion of CC. Interestingly, IL-37 showed higher anticancer ability in HPV(+) Hela cells than that in HPV(-) C33A cells. Then, the molecular mechanism of IL-37 anticancer was explored. Firstly, we found that IL-37 inhibited STAT3 expression at both mRNA and protein levels. IL-37 also down regulated the phosphorylation of STAT3. Secondly, blockage of STAT3 using siRNAs reduced significantly the ability of IL-37 to suppress cell proliferation and invasion. Thirdly, STAT3 knockdown reduced markedly the inhibition of IL-37 on the transcription of tumor-derived TNF-α and IL-1ß, indicating the contribution of STAT3 for the cancer associated antiinflammation of IL-37. Finally, STAT3 up regulation restored the ability of cell proliferation, cell invasion and the expression of inflammatory cytokines, TNF-α and IL-1ß. Conclusions : IL-37 suppressed cell proliferation and invasion of CC and STAT3 is involved in this process. Thus, IL-37 emerges as a new anticancer cytokine for CC. This study demonstrated a new biological function of IL-37 and offered a potential molecule for CC treatment.

Dehydrocostus Lactone Inhibits Proliferation, Antiapoptosis, and Invasion of Cervical Cancer Cells Through PI3K/Akt Signaling Pathway.

OBJECTIVES: Recent studies found that dehydrocostus lactone (DHC), a traditional Chinese medicine in curing chronic ulcer and inflammation, can inhibit several type of tumor cells. The purpose of this study was to define the role of DHC on cervical cancer cells and to explore its mechanism of action. METHODS: We used DHC alone or in combination with PI3K/Akt-specific inhibitor LY294002 (LY) to treat Hela cells [human papillomavirus (HPV)-18 positive] and C33a cells (HPV negative). The proliferation, apoptosis, and Akt activation were assessed. Cell invasive ability was assayed in transwell chambers. RESULTS: We found that DHC significantly inhibited proliferation, antiapoptosis, and invasion of both cells, and reduced the level of p-Akt phosphorylation in these cells, in a dose- or time-dependent manner. In addition, these inhibitions of DHC were significantly strengthened by LY. CONCLUSIONS: The result suggested that DHC plays a potent role in anticervical cancer in multiple biological aspects through PI3K/Akt signaling pathway, independently of HPV infection. This finding surely adds new knowledge to understand the role of DHC in fighting cancers.

Dehydrocostus lactone suppressed the proliferation, migration, and invasion of colorectal carcinoma through the downregulation of eIF4E expression.

Dehydrocostus lactone (DHC) is the main active ingredient extracted from a traditional Chinese medicine called Radix Aucklandiael. A few studies recently showed that DHC has anticancer potential. However, no reports exist as yet on the effects of DHC on colorectal carcinoma (CRC). This study aimed to determine whether and how DHC functions in CRC cells. After treatment with DHC, both Lovo and SW480 cells were significantly inhibited in their proliferation, cell cycle progression, migration, and invasion abilities in a dose-dependent and/or treatment time-dependent manner. Also, DHC significantly increased the apoptosis rate of SW480 cells, but not Lovo cells. The expression of eukaryotic translation initiation factor 4E (eIF4E), which was originally highly expressed in both cells, was significantly decreased by DHC. The inhibition of proliferation, migration, and invasion was significantly attenuated by the ectopic transfection of eIF4E, and was promoted by the knockdown of eIF4E in Lovo cells. To the best of our knowledge, this is the first time it has been shown that DHC suppressed the proliferation, cell cycle progression, antiapoptosis, and migration and invasion capabilities of CRC cells by the downregulation of eIF4E expression. In terms of the overexpression of eIF4E in many cancers, it was speculated that DHC might also play an anticancerous role by suppressing eIF4E expression. This discovery could lay the foundations for advancing our understanding of the anticancerous mechanism of DHC and developing DHC into a novel and effective natural anticancer therapeutic.