Fenoxaprop-P-ethyl, mesosulfuron-ethyl, and isoproturon resistance status in Beckmannia syzigachne from wheat fields across Anhui Province, China.

Severe infestations of American sloughgrass (Beckmannia syzigachne (Steud.) Fernald) in wheat fields throughout Anhui Province, China, pose a significant threat to local agricultural production. This study aims to evaluate the susceptibility of 37 B. syzigachne populations collected from diverse wheat fields in Anhui Province to three commonly used herbicides: fenoxaprop-P-ethyl, mesosulfuron-ethyl, and isoproturon. Single-dose testing revealed that out of the 37 populations, 31, 26, and 11 populations had either evolved or were evolving resistance to fenoxaprop-P-ethyl, mesosulfuron-ethyl, and isoproturon, respectively. Among them, 25 populations displayed concurrent resistance to both fenoxaprop-P-ethyl and mesosulfuron-ethyl, while eight exhibited resistance to all three tested herbicides. Whole-plant bioassays confirmed that approximately 84% of the fenoxaprop-P-ethyl-resistant populations manifested high-level resistance (resistance index (RI) ≥10); 62% of the mesosulfuron-ethyl-resistant populations and 82% of the isoproturon-resistant populations exhibited low- to moderate-level resistance (2 ≤ RI <10). Three distinct target-site mutations were identified in 27% of fenoxaprop-P-ethyl-resistant populations, with no known resistance mutations detected in the remaining herbicide-resistant populations. The inhibition of cytochrome P450s (P450s) and/or glutathione S-transferases (GSTs) substantially increased susceptibility in the majority of resistant populations lacking mutations at the herbicide target site. In conclusion, resistance to fenoxaprop-P-ethyl and mesosulfuron-ethyl was widespread in B. syzigachne within Anhui Province's wheat fields, while resistance to isoproturon was rapidly evolving due to its escalating usage. Target-site mutations were present in approximately one-third of fenoxaprop-P-ethyl-resistant populations, and alternative mechanisms involving P450s and/or GSTs could explain the resistance observed in most of the remaining populations.

Integrated bioinformatics analysis of microarray data from non-small cell lung cancer.

Non-small cell lung cancer (NSCLC), with its high mortality rate, lack of early diagnostic markers and prevention of distant metastases are the main challenges in treatment. To identify potential miRNAs and key genes in NSCLC to find new biomarkers and target gene therapies. The GSE102286, GSE56036, GSE25508, GSE53882, GSE29248 and GSE101929 datasets were obtained from the Gene Expression Omnibus (GEO) database and screened for differentially co-expressed miRNAs (DE-miRNAs) and lncRNAs (DElncRs) by GEO2R and R software package. Pathway enrichment analysis of DE-miRNAs-target genes was performed by String and Funrich database to construct protein-protein interaction (PPI) and competing endogenous RNA (ceRNA) network and visualized with Cytoscape software. Nineteen co-expressed DE-miRNAs were screened from five datasets. The 7683 predicted up- and down-regulated DE-miRNAs-target genes were significantly concentrated in cancer-related pathways. The top 10 hub nodes in the PPI were identified as hub genes, such as MYC, EGFR, HSP90AA1 and TP53, MYC, and ACTB. By constructing miRNA-hub gene networks, hsa-miR-21, hsa-miR-141, hsa-miR-200b and hsa-miR-30a, hsa-miR-30d, hsa-miR-145 may regulate most hub genes and hsa-miR-141, hsa-miR-200, hsa-miR-145 had higher levels in the miRNA and ceRNA regulatory networks, respectively. In conclusion, the identification of hsa-miR-21, hsa-miR-141, hsa-miR-200b hsa-miR-30a, hsa-miR-30d and hsa-miR-145 provides a new theoretical basis for understanding the development of NSCLC.

Long non-coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta- and bioinformatics analysis.

BACKGROUND: The possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent. METHODS: The meta-analysis and related bioinformatics analysis were conducted to evaluate the role of MIR31HG in tumor progression. RESULTS: The result showed that high MIR31HG expression was not related to prognosis. However, in the stratified analysis, we found that the overexpression of MIR31HG resulted in worse OS, advanced TNM stage, and tumor differentiation in respiratory system cancers. Moreover, our results also found that MIR31HG overexpression was related to shorter OS in cervical cancer patients and head and neck tumors. In contrast, the MIR31HG was lower in digestive system tumors which contributed to shorter overall survival, advanced TNM stage, and distant metastasis. Furthermore, the bioinformatics analysis showed that MIR31HG was highly expressed in normal urinary bladder, small intestine, esophagus, stomach, and duodenum and low in colon, lung, and ovary. The results obtained from FireBrowse indicated that MIR31HG was highly expressed in LUSC, CESC, HNSC, and LUAD and low in STAD and BLCA. Gene Ontology analysis showed that the co-expressed genes of MIR31HG were most enriched in the biological processes of peptide metabolism and KEGG pathways were most enriched in Ras, Rap1, and PI3K-Akt signaling pathway. CONCLUSION: MIR31HG may serve as a potential biomarker in human cancers.

A simple and fast LC-MS/MS method for the simultaneous determination of tenofovir alafenamide and tenofovir in human plasma.

A simple and fast liquid chromatography-tandem mass spectrometry method was established and validated for the simultaneous determination of tenofovir alafenamide (TAF) and tenofovir (TNF) in human plasma. A simple protein precipitation procedure was employed to extract analytes from plasma. Chromatographic separation was performed on an Eclipse Plus C18 column utilizing a fast gradient elution starting with 2% of 2 mM ammonium acetate-formic acid (100/0.1, v/v) followed by increasing the percentage of acetonitrile. Detection was performed on a tandem mass spectrometer equipped with an electrospray ionization source operated in the positive ionization mode, using the transitions m/z 477.2 → m/z 346.1 for TAF and m/z 288.1 → m/z 176.1 for TNF. TAF-d5 and TNF-d7 were used as the internal standard of TAF and TNF, respectively. The method was validated in the concentration ranges 1.25-500 ng/mlfor TAF and 0.300-15.0 ng/ml for TNF with acceptable accuracy and precision.

Effects of rifampicin on the pharmacokinetics of alflutinib, a selective third-generation EGFR kinase inhibitor, and its metabolite AST5902 in healthy volunteers.

Background Alflutinib is a novel irreversible and highly selective third-generation EGFR inhibitor currently being developed for the treatment of non-small cell lung cancer patients with activating EGFR mutations and EGFR T790M drug-resistant mutation. Alflutinib is mainly metabolized via CYP3A4 to form its active metabolite AST5902. Both alflutinib and AST5902 contribute to the in vivo pharmacological activity. The aim of this study was to investigate the effects of rifampicin (a strong CYP3A4 inducer) on the pharmacokinetics of alflutinib and AST5902 in healthy volunteers, thus providing important information for drug-drug interaction evaluation and guiding clinical usage. Methods This study was designed as a single-center, open-label, and single-sequence trial over two periods. The volunteers received a single dose of 80 mg alflutinib on Day 1/22 and continuous doses of 0.6 g rifampicin on Day 15-30. Blood sampling was conducted on Day 1-10 and Day 22-31. The pharmacokinetics of alflutinib, AST5902, and the total active ingredients (alflutinib and AST5902) with or without rifampicin co-administration were respectively analyzed. Results Co-administration with rifampicin led to 86% and 60% decreases in alflutinib AUC0-∞ and Cmax, respectively, as well as 17% decrease in AST5902 AUC0-∞ and 1.09-fold increase in AST5902 Cmax. The total active ingredients (alflutinib and AST5902) exhibited 62% and 39% decreases in AUC0-∞ and Cmax, respectively. Conclusions As a strong CYP3A4 inducer, rifampicin exerted significant effects on the pharmacokinetics of alflutinib and the total active ingredients (alflutinib and AST5902). The results suggested that concomitant strong CYP3A4 inducers should be avoided during alflutinib treatment. This trial was registered at http://www.chinadrugtrials.org.cn . The registration No. is CTR20191562, and the date of registration is 2019-09-12.

Primary Cervical Malignant Melanoma: 2 Cases and a Literature Review.

Primary cervical malignant melanoma (MM) is an extremely rare tumor, and we are only aware of 44 reported cases. Further information is needed with regard to this disease's clinicopathologic features. Two patients (55 and 81 yr old) with postmenopausal vaginal bleeding were diagnosed with primary cervical MM on the basis of hematoxylin-eosin staining and immunohistochemistry findings. Our literature review revealed that the average age in cases of primary cervical MM was 59 yr (range, 34-81 yr); 93% of patients presented with vaginal bleeding, and 82% of patients were diagnosed at an early clinical stage (International Federation of Gynecology and Obstetrics stages I-II). Primary cervical MM is an extremely rare cervical tumor and is associated with a poor prognosis. Histologic morphology and immunohistochemistry are very important considerations for diagnosing this disease, which must be differentiated from cervical undifferentiated carcinoma, leiomyosarcoma, and malignant peripheral schwannoma.

Enantioselective determination of ketamine in dog plasma by chiral liquid chromatography-tandem mass spectrometry.

Ketamine is an N-methyl-d-aspartate receptor antagonist that is usually used clinically as a racemic mixture. Its two enantiomers exhibit different pharmacological activities. To determine whether the enantiomers have different pharmacokinetic profiles, a chiral liquid chromatography-tandem mass spectrometry method was developed and validated for the determination of ketamine enantiomers in dog plasma. The enantiomers of ketamine were extracted from 50 µL of plasma by methyl tert-butyl ether. Adequate chromatographic retention and baseline resolution of the enantiomers were achieved within a runtime of 5 min on a chiral column coated with polysaccharide derivatives, using a gradient mobile phase of acetonitrile and 10 mm ammonium bicarbonate aqueous solution. Ketamine enantiomers were detected by mass spectrometry with multiple reaction monitoring mode using the transitions of m/z 238.3 → 125.9 for the analytes and m/z 237.1 → 194.1 for carbamazepine (internal standard). The method was linear over the concentration range from 0.5 to 500 ng/mL for each enantiomer. The lower limit of quantification (LLOQ) for each enantiomer was 0.5 ng/mL. The intra- and inter-day precision was <7.3% and 8.5% for R- and S-ketamine, respectively. The accuracy was 92.9-110.4% for R-ketamine and 99.8-102.4% for S-ketamine. The method was successfully applied to characterize the stereoselective pharmacokinetic profiles of ketamine in beagle dogs.

Predominant contributions of carboxylesterase 1 and 2 in hydrolysis of anordrin in humans.

1. Anordrin (2α, 17α-diethynyl-A-nor-5α-androstane-2ß, 17ß-diol diproprionate) is post-coital contraceptive drug that is on the market in China for more than 30 years. This study aims to elucidate enzymes involved in anordrin hydrolysis, and to evaluate the significant role of carboxylesterases in anordrin hydrolysis in humans. 2. Human liver and intestinal microsomes, recombinant human carboxylesterase were selected as enzyme sources. In human liver microsomes, intrinsic clearance was 684 ± 83 µL/min/mg protein, which was considerably higher than the value of intestine microsomes (94.6 ± 13.3 µL/min/mg protein). Carboxylesterase (CES) 1 has more contribution than CES2 in human liver. 3. Inhibition studies were performed using representative esterase inhibitors to confirm esterase isoforms involved in anordrin hydrolysis. Simvastatin strongly inhibited hydrolytic process of anordrin in liver and intestine microsomes, with IC50 values of 10.9 ± 0.1 and 6.94 ± 0.03 µM, respectively. 4. The present study investigated for the first time hydrolytic enzyme phenotypes of anordrin. Anordrin is predominantly catalyzed by CES1 and CES2 to generate the main active metabolite, anordiol. Moreover, anordrin and its metabolite anordiol can be altered by esterase inhibitors, such as simvastatin, upon exposure in vivo.

Probabilistic Neighborhood-Based Data Collection Algorithms for 3D Underwater Acoustic Sensor Networks.

Marine environmental monitoring provides crucial information and support for the exploitation, utilization, and protection of marine resources. With the rapid development of information technology, the development of three-dimensional underwater acoustic sensor networks (3D UASNs) provides a novel strategy to acquire marine environment information conveniently, efficiently and accurately. However, the specific propagation effects of acoustic communication channel lead to decreased successful information delivery probability with increased distance. Therefore, we investigate two probabilistic neighborhood-based data collection algorithms for 3D UASNs which are based on a probabilistic acoustic communication model instead of the traditional deterministic acoustic communication model. An autonomous underwater vehicle (AUV) is employed to traverse along the designed path to collect data from neighborhoods. For 3D UASNs without prior deployment knowledge, partitioning the network into grids can allow the AUV to visit the central location of each grid for data collection. For 3D UASNs in which the deployment knowledge is known in advance, the AUV only needs to visit several selected locations by constructing a minimum probabilistic neighborhood covering set to reduce data latency. Otherwise, by increasing the transmission rounds, our proposed algorithms can provide a tradeoff between data collection latency and information gain. These algorithms are compared with basic Nearest-neighbor Heuristic algorithm via simulations. Simulation analyses show that our proposed algorithms can efficiently reduce the average data collection completion time, corresponding to a decrease of data latency.

PFN2, a novel marker of unfavorable prognosis, is a potential therapeutic target involved in esophageal squamous cell carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the most aggressively malignant tumors with dismal prognosis. Profilin 2 (PFN2) is an actin-binding protein that regulates the dynamics of actin polymerization and plays a key role in cell motility. Recently, PFN2 have emerged as significant regulators of cancer processes. However, the clinical significance and biological function of PFN2 in ESCC remain unclear. METHODS: PFN2 protein expression was validated by immunohistochemistry (IHC) on tissue microarray from Chinese Han and Kazakh populations with ESCC. The associations among PFN2 expression, clinicopathological features, and prognosis of ESCC were analyzed. The effects on cell proliferation, invasion and migration were examined using MTT and Transwell assays. Markers of epithelial-mesenchymal transition (EMT) were detected by Western blot analysis. RESULTS: Compared with normal esophageal epithelium (NEE), PFN2 protein expression was markedly increased in low-grade intraepithelial neoplasia (LGIN), high-grade intraepithelial neoplasia (HGIN), and ESCC, increased gradually from LGIN to ESCC, and finally reached high grade in HGIN in the Han population. Similarly, PFN2 protein was more overexpressed in ESCC than in NEE in the Kazakh population. The results of Western blot analysis also showed that PFN2 expression was significantly higher in the ESCC tissue than in a matched adjacent non-cancerous tissue. PFN2 expression was positively correlated with invasion depth and lymph node metastasis. High PFN2 expression was significantly correlated with short overall survival (OS) (P = 0.023). Cox regression analysis revealed that PFN2 expression was an independent prognostic factor for poor OS in ESCC. Downregulation of PFN2 inhibited, rather than proliferated, cell invasion and migration, as well as induced an EMT phenotype, including increased expression of epithelial marker E-cadherin, decreased mesenchymal marker Vimentin, Snail, Slug and ZEB1, and morphological changes in ESCC cells in vitro. CONCLUSIONS: Our findings demonstrate that PFN2 has a novel role in promoting ESCC progression and metastasis and portending a poor prognosis, indicating that PFN2 could act as an early biomarker of high-risk population. Targeting PFN2 may offer a promising therapeutic strategy for ESCC treatment.

A Collaborative Secure Localization Algorithm Based on Trust Model in Underwater Wireless Sensor Networks.

Localization is one of the hottest research topics in Underwater Wireless Sensor Networks (UWSNs), since many important applications of UWSNs, e.g., event sensing, target tracking and monitoring, require location information of sensor nodes. Nowadays, a large number of localization algorithms have been proposed for UWSNs. How to improve location accuracy are well studied. However, few of them take location reliability or security into consideration. In this paper, we propose a Collaborative Secure Localization algorithm based on Trust model (CSLT) for UWSNs to ensure location security. Based on the trust model, the secure localization process can be divided into the following five sub-processes: trust evaluation of anchor nodes, initial localization of unknown nodes, trust evaluation of reference nodes, selection of reference node, and secondary localization of unknown node. Simulation results demonstrate that the proposed CSLT algorithm performs better than the compared related works in terms of location security, average localization accuracy and localization ratio.

A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink.

Mobile sink is widely used for data collection in wireless sensor networks. It can avoid 'hot spot' problems but energy consumption caused by multihop transmission is still inefficient in real-time application scenarios. In this paper, a greedy scanning data collection strategy (GSDCS) is proposed, and we focus on how to reduce routing energy consumption by shortening total length of routing paths. We propose that the mobile sink adjusts its trajectory dynamically according to the changes of network, instead of predetermined trajectory or random walk. Next, the mobile sink determines which area has more source nodes, then it moves toward this area. The benefit of GSDCS is that most source nodes are no longer needed to upload sensory data for long distances. Especially in event-driven application scenarios, when event area changes, the mobile sink could arrive at the new event area where most source nodes are located currently. Hence energy can be saved. Analytical and simulation results show that compared with existing work, our GSDCS has a better performance in specific application scenarios.

[Metabolic research of domestically developed small molecule tyrosine kinase inhibitors].

Drug metabolism research plays an essential role in drug discovery and development. Great efforts have been made domestically to be line with the international standardized research on drug metabolism. In this article, we will review new-generation of tyrosine kinase inhibitors(TKIs), these TKIs include icotinib, apatinib, famitinib, flumatinb, allitinib, fruquintinib, and selatinib, among which icotinib and apatinib have been approved by China food and drug administration(CFDA) to reach the market, while others are in clinical trials. For these TKIs, the structural modified sites are active metabolic centers and CYP3A4 is identified as the primary metabolic enzyme. Considering the active intermediates, the crown ether ring of icotinib is oxidated to open to form an aldehyde; the indolylidene ring of famitinib is oxidated followed by rearrangement to form a quinone- imine; the α, ß-unsaturated carbonyl group of allitinib is oxidated to form an epoxide, these intermediates are capable of covalently binding biomolecules and generating toxicity. In addition, human (14)C radioactive trials of most of these TKIs have not been conducted, and the data of drug-drug interactions in clinic are also absent, which indicate our deficiency compared to the international regular approaches in metabolic research.

SLC39A6: a potential target for diagnosis and therapy of esophageal carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a highly lethal cancer, and its underlying molecular mechanisms are poorly understood. Recent large-scale genome-wide association studies in Chinese Han populations have identified an ESCC susceptibility locus within the SLC39A6 gene. Here, we sought to explore the expression and biological function of SLC39A6 in ESCC. METHODS: Multiethnic validation of SLC39A6 protein expression was performed in different cohorts of patients from Chinese Han and Kazakh populations in the Xinjiang region by immunohistochemistry. The associations among SLC39A6 expression, clinicopathological parameters, and prognosis outcomes of ESCC were analyzed. And the effects of SLC39A6 silencing by siRNA on cell proliferation, apoptosis, and invasiveness, as well as the proteins involved in epithelial-to-mesenchymal transition (EMT) of esophageal cancer cells, were studied. RESULTS: SLC39A6 protein expression increased progressively from normal esophageal epithelium (NEE) to low-grade intraepithelial neoplasia to ESCC, and finally reached the highest in high-grade intraepithelial neoplasia from Han ethnic. Similarly, SLC39A6 protein was significantly overexpressed in Kazakh ethnic ESCC compared with that in NEE. Increased expression of SLC39A6 was found to be closely correlated with histological grade and early Tumor-Node-Metastasis stage I/II. High tumorous SLC39A6 expression was significantly correlated with shorter overall survival (OS). Cox regression analysis confirmed that SLC39A6 expression was an independent prognostic factor for poor OS in ESCC. Experimentally, the suppression of SLC39A6 expression promoted ESCC cell apoptosis but abrogated proliferation and invasion, and induced an EMT phenotype that included enhanced expression of E-cadherin, loss of vimentin, and morphological changes in ESCC cells in vitro. CONCLUSIONS: Combined, our findings highlight a tumor-promoting role for SLC39A6 in ESCC, suggesting that SLC39A6 could serve as an early detector of high-risk subjects and prognostic biomarker. The targeting of SLC39A6 might be a potential therapeutic strategy for blocking ESCC.

MGMT unmethylation and high levels of CD47 and TIGIT indicate a poor prognosis in adult diffuse gliomas.

Introduction: In 2021, the World Health Organization published a new classification system for central nervous system tumors. This study reclassified the adult diffuse glioma (ADG) into astrocytoma, oligodendroglioma, and glioblastoma (GBM) according to the new tumor classification. Methods: The association of TERT promoter (pTERT) mutation, MGMT methylation, and CD47/TIGIT expression with patient prognosis was investigated. Results: Immunohistochemical analysis showed that the expression levels of CD47 and TIGIT in tumor tissues were significantly higher than those in normal brain tissues. CD47 levels were higher in GBM and grade 4 astrocytoma tissues. TIGIT expression was also higher in patients with GBM. The high expressions of CD47, TIGIT, and CD47/TIGIT were positively correlated with MGMT unmethylation but not pTERT mutation. Moreover, MGMT unmethylation was associated with poor overall survival in astrocytoma. High CD47, TIGIT, and CD47/TIGIT levels were associated with significantly reduced survival in ADG and GBM. GBM, MGMT unmethylation, and high CD47 expression were independent prognostic factors for overall survival in ADG. Discussion: Collectively, these results showed that the MGMT unmethylation and high levels of CD47 and TIGIT are associated with a poor prognosis in ADG. Patients with high CD47 and TIGIT expression may benefit from anti-CD47 and TIGIT immunotherapy.

Metabolism-Based Nontarget-Site Mechanism Is the Main Cause of a Four-Way Resistance in Shortawn Foxtail (Alopecurus aequalis Sobol.).

Alopecurus aequalis Sobol. is a predominant grass weed in Chinese winter wheat fields, posing a substantial threat to crop production owing to its escalating herbicide resistance. This study documented the initial instance of an A. aequalis population (AHFT-3) manifesting resistance to multiple herbicides targeting four distinct sites: acetyl-CoA carboxylase (ACCase), acetolactate synthase, photosystem II, and 1-deoxy-d-xylulose-5-phosphate synthase. AHFT-3 carried an Asp-to-Gly mutation at codon 2078 of ACCase, with no mutations in the remaining three herbicide target genes, and exhibited no overexpression of any target gene. Compared with the susceptible population AHFY-3, AHFT-3 metabolized mesosulfuron-methyl, isoproturon, and bixlozone faster. The inhibition and comparison of herbicide-detoxifying enzyme activities indicated the participation of cytochrome P450s in the resistance to all four herbicides, with glutathione S-transferases specifically linked to mesosulfuron-methyl. Three CYP72As and a Tau class glutathione S-transferase, markedly upregulated in resistant plants, potentially played pivotal roles in the multiple-herbicide-resistance phenotype.

An Essential Role of c-Fos in Notch1-mediated Promotion of Proliferation of KSHV-Infected SH-SY5Y Cells.

BACKGROUND: This study aimed to investigate the influence of Notch1 on c-Fos and the effect of c-Fos on the proliferation of Kaposi's sarcoma-associated herpesvirus (KSHV)-infected neuronal cells. METHODS: Real-time PCR and western blotting were used to determine c-Fos expression levels in KSHV-infected (SK-RG) and uninfected SH-SY5Y cells. C-Fos levels were measured again in SK-RG cells with or without Notch1 knockdown. Next, we measured c-Fos and p-c-Fos concentrations after treatment with the Notch1 γ-secretase inhibitor LY-411575 and the Notch1 activator Jagged-1. MTT and Ki-67 staining were used to evaluate the proliferation ability of cells after c-Fos levels downregulation. CyclinD1, CDK6, and CDK4 expression levels and cell cycle were analyzed by western blotting and flow cytometry, respectively. After the c-Fos intervention, the KSHV copy number and gene expression of RTA, LANA and K8.1 were analyzed by real-time TaqMan PCR. RESULTS: C-Fos was up-regulated in KSHV-infected SK-RG cells. However, the siRNA-mediated knockdown of Notch1 resulted in a significant decrease in the levels of c-Fos and p-c-Fos (P <0.01, P <0.001). Additionally, a decrease in Cyclin D1, CDK6, and CDK4 was also detected. The Notch1 inhibitor LY-411575 showed the potential to down-regulate the levels of c-Fos and p-c-Fos, which was consistent with Notch1 knockdown group (P <0.01), whereas the expression and phosphorylation of c-Fos were remarkably up-regulated by treatment of Notch1 activator Jagged-1 (P <0.05). In addition, our data obtained by MTT and Ki-67 staining revealed that the c-Fos down-regulation led to a significant reduction in cell viability and proliferation of the SK-RG cells (P <0.001). Moreover, FACS analysis showed that the cell cycle was arrested in the G0/G1 stage, and the expressions of Cyclin D1, CDK6, and CDK4 were down-regulated in the c-Fos-knockdown SK-RG cells (P <0.05). Reduction in total KSHV copy number and expressions of viral genes (RTA, LANA and K8.1) were also detected in c-Fos down-regulated SK-RG cells (P <0.05). CONCLUSION: Our findings strongly indicate that c-Fos plays a crucial role in the promotion of cell proliferation through Notch1 signaling in KSHV-infected cells. Furthermore, our results suggest that the inhibition of expression of key viral pathogenic proteins is likely involved in this process.

SLC43A2 and NFκB signaling pathway regulate methionine/cystine restriction-induced ferroptosis in esophageal squamous cell carcinoma via a feedback loop.

Studies have indicated dietary restriction of methionine/cystine provided a therapeutic benefit in diseases such as cancer. However, the molecular and cellular mechanisms that underlie the interaction between methionine/cystine restriction (MCR) and effects on esophageal squamous cell carcinoma (ESCC) have remained elusive. Here, we discovered the dietary restriction of methionine/cystine has a large effect on cellular methionine metabolism as assayed in a ECA109 derived xenograft model. RNA-seq and enrichment analysis suggested the blocked tumor progression was affected by ferroptosis, together with the NFκB signaling pathway activation in ESCC. Consistently, GSH content and GPX4 expression were downregulated by MCR both in vivo and in vitro. The contents of Fe2+ and MDA were negatively correlated with supplementary methionine in a dose-dependent way. Mechanistically, MCR and silent of SLC43A2, a methionine transporter, diminished phosphorylation of IKKα/ß and p65. Blocked NFκB signaling pathway further decreased the expression of SLC43A2 and GPX4 in both mRNA and protein level, which in turn downregulated the methionine intake and stimulated ferroptosis, respectively. ESCC progression was inhibited by enhanced ferroptosis and apoptosis and impaired cell proliferation. In this study, we proposed a novel feedback regulation mechanism underlie the correlation between dietary restriction of methionine/cystine and ESCC progression. MCR blocked cancer progression via stimulating ferroptosis through the positive feedback loop between SLC43A2 and NFκB signaling pathways. Our results provided the theoretical basis and new targets for ferroptosis-based clinical antitumor treatments for ESCC patients.

Expressions and Prognostic Values of Notch3 and DLL4 in Human Breast Cancer.

Background: Notch signaling played a critical role in promoting breast tumorigenesis and progression. However, the role and prognostic value of Notch3 combined with DLL4 expression in breast carcinoma had not been explored. Methods: The retrospective study enrolled 90 breast cancer tissues and 60 noncancerous tissues from (conceal). The expression and prognostic value of Notch3 and DLL4 in patients with breast carcinoma were investigated using Oncomine and UALCAN database. Notch3 and DLL4 expression levels were detected by quantitative real-time polymerase chain reaction, western blotting, and immunohistochemistry. We analyzed the correlation between both proteins expression and clinicopathological parameters and survival data, respectively. Results: The expressions of Notch3 and DLL4 were increased, and Notch3 expression was significantly positively associated with DLL4 in breast carcinoma. The 2 proteins dramatically correlated with advanced stage, high grade and negative Her2 status. The overexpressing of single or both Notch3 and DLL4 resulted in shortened survival of breast cancer patients. And Notch3 overexpression was one of independent risk predictors to poor prognosis. Conclusion: The interaction of Notch3 receptor and DLL4 ligand accelerates oncogenesis, progression, and poor prognosis of breast cancer patients. Notch3 protein may serve as one of biomarker to independently predict prognosis of patients.

Localization algorithms of Underwater Wireless Sensor Networks: a survey.

In Underwater Wireless Sensor Networks (UWSNs), localization is one of most important technologies since it plays a critical role in many applications. Motivated by widespread adoption of localization, in this paper, we present a comprehensive survey of localization algorithms. First, we classify localization algorithms into three categories based on sensor nodes' mobility: stationary localization algorithms, mobile localization algorithms and hybrid localization algorithms. Moreover, we compare the localization algorithms in detail and analyze future research directions of localization algorithms in UWSNs.