Discovery and biological evaluation of proteolysis targeting chimeras (PROTACs) as an EGFR degraders based on osimertinib and lenalidomide.

Epidermal growth factor receptor (EGFR) is one of the important and valuable drug targets. Overexpression of EGFR is associated with the development of many types of cancer. In this study, three PROTACs small molecules (16a-16c) were designed, synthesized and evaluated for their cytotoxicity against the growth in different NSCLC cell line and the degradation effect. The bioassay results indicated that 16c has a good inhibition in PC9 cells and H1975 cells, and the corresponding IC50 value was 0.413 µM and 0.657 µM, respectively. Western blotting results demonstrated that compound 16c could serve as an effective EGFRdel19-targeting degrader in PC9 cells.

Data Prediction of Mobile Network Traffic in Public Scenes by SOS-vSVR Method.

Accurate base station traffic data in a public place with large changes in the amount of people could help predict the occurrence of network congestion, which would allow us to effectively allocate network resources. This is of great significance for festival network support, routine maintenance, and resource scheduling. However, there are a few related reports on base station traffic prediction, especially base station traffic prediction in public scenes with fluctuations in people flow. This study proposes a public scene traffic data prediction method, which is based on a v Support Vector Regression (vSVR) algorithm. To achieve optimal prediction of traffic, a symbiotic organisms search (SOS) was adopted to optimize the vSVR parameters. Meanwhile, the optimal input time step was determined through a large number of experiments. Experimental data was obtained at the base station of Huainan Wanda Plaza, in the Anhui province of China, for three months, with the granularity being one hour. To verify the predictive performance of vSVR, the classic regression algorithm extreme learning machine (ELM) and variational Bayesian Linear Regression (vBLR) were used. Their optimal prediction results were compared with vSVR predictions. Experimental results show that the prediction results from SOS-vSVR were the best. Outcomes of this study could provide guidance for preventing network congestion and improving the user experience.

Point-of-care detection of 16S rRNA of Staphylococcus aureus based on multiple biotin-labeled DNA probes.

A visual method that combines multiple biotin-labeled DNA probes and lateral-flow nucleic acid biosensor was developed to detect Staphylococcus aureus. The 16S rRNA from Staphyloccocus aureus (S. aureus), coupled with multiple biotin-labeled DNA probes, was functionalized in a signal structure for lateral-flow point-of-care detection. The secondary structure of the 16S rRNA was unwound by two specific capture probes modified by Fam and multiple bridge probes, which extended additional sequences for use as initiators. By utilizing the initiators, each target 16S rRNA with multiple DNA probes could tether a number of biotin molecules, so that a large number of streptavidin-labeled gold nanoparticles could be introduced in the lateral flow assay. The images of the lateral flow detection results obtained using a smartphone were transmitted to a computer via Wi-Fi or Bluetooth connection for quantitative processing by ImageJ. The limit of detection was 103 cfu/mL without sample enrichment, and decreased to 0.12 cfu/mL following a 3-h enrichment of samples in growth medium. Notably, this method presented high specificity and applicability for the detection of S. aureus in food samples. In short, the developed visual non-specific operation method is very suitable for point-of-care diagnosis of pathogens in resource-limited countries.

Determining Forest Duff Water Content Using a Low-Cost Standing Wave Ratio Sensor.

Forest duff (fermentation and humus) water content is an important parameter for fire risk prediction and water resource management. However, accurate determination of forest duff water content is difficult due to its loose structure. This study evaluates the feasibility of a standing wave ratio (SWR) sensor to accurately determine the forest duff water content. The performance of this sensor was tested on fermentation and humus with eight different compaction levels. Meanwhile, a commercialized time domain reflectometry (TDR) was employed for comparison. Calibration results showed that there were strong linear relationships between the volumetric water content (θV) and the SWR sensor readings (VSWR) at different compaction classes for both fermentation and humus samples. The sensor readings of both SWR and TDR underestimated the forest duff water content at low compacted levels, proving that the compaction of forest duff could significantly affect the measurement accuracy of both sensors. Experimental data also showed that the accuracy of the SWR sensor was higher than that of TDR according to the root mean square error (RMSE). Furthermore, low cost is another important advantage of the SWR sensor in comparison with TDR. This low-cost SWR sensor performs well in loose materials and is feasible for evaluating the water content of forest duff. In addition, the results indicate that decomposition of the forest duff should be taken into account for continuous and long-term water content measurement.

MiR-1244 sensitizes the resistance of non-small cell lung cancer A549 cell to cisplatin.

BACKGROUND: Cisplatin (DDP)-based chemotherapy is the mainstay of first-line therapy for lung cancer. However, their efficacy is often limited by the existence or development of chemoresistance. The aim of this study was to find and investigate the function of miRNAs in cisplatin (DDP)-resistant non-small cell lung cancer (NSCLC) A549 cell. METHODS: Quantitative real-time PCR assay was employed to compare the differences of miRNA expression in both cisplatin-resistant A549 (A549/DDP) cell and the parental A549 cell. The dysregulated miRNAs were then corrected by transfecting oligonucleotides into A549/DDP cells. The cellular sensitivity to cisplatin, cell apoptosis and migration were conducted by MTT, flow cytometry and cell wound healing assay, respectively. RESULTS: Both miR-589 and miR-1244 were significantly down-regulated in A549/DDP cell compared to the parental A549, while the expression of miR-182 and miR-224 were increased in A549/DDP cell (P < 0.05). Importantly, transfection of the cisplatin-resistant cells with either miR-589 or miR-1244 resulted in an increased sensitivity to cisplatin, indicating that the dysregulated miRNA may play an important role in chemotherapy resistance in cancer cell. The rescued expression of miRNA also reduced cell invasion and increased apoptosis of A549/DDP cell. CONCLUSION: The study indicates a crucial role of miR-1244 in the progress of cisplatin resistance of A549. Further understanding of miR-1244-mediated signaling pathways may promote the clinical use of miR-1244 in lung cancer therapy.

Real-Time Identification of Smoldering and Flaming Combustion Phases in Forest Using a Wireless Sensor Network-Based Multi-Sensor System and Artificial Neural Network.

Diverse sensing techniques have been developed and combined with machine learning method for forest fire detection, but none of them referred to identifying smoldering and flaming combustion phases. This study attempts to real-time identify different combustion phases using a developed wireless sensor network (WSN)-based multi-sensor system and artificial neural network (ANN). Sensors (CO, CO2, smoke, air temperature and relative humidity) were integrated into one node of WSN. An experiment was conducted using burning materials from residual of forest to test responses of each node under no, smoldering-dominated and flaming-dominated combustion conditions. The results showed that the five sensors have reasonable responses to artificial forest fire. To reduce cost of the nodes, smoke, CO2 and temperature sensors were chiefly selected through correlation analysis. For achieving higher identification rate, an ANN model was built and trained with inputs of four sensor groups: smoke; smoke and CO2; smoke and temperature; smoke, CO2 and temperature. The model test results showed that multi-sensor input yielded higher predicting accuracy (≥82.5%) than single-sensor input (50.9%-92.5%). Based on these, it is possible to reduce the cost with a relatively high fire identification rate and potential application of the system can be tested in future under real forest condition.

KIT and BRAF heterogeneous mutations in gastrointestinal stromal tumors after secondary imatinib resistance.

BACKGROUND AND AIMS: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumor of the digestive tract and characterized by expression of KIT protein. Imatinib is the frontline therapy for metastatic and unresectable GIST patients showing clinical responses in 80 % of cases. Despite the often long-lasting clinical benefit seen in most patients treated with imatinib, many will eventually suffer disease progression. The most frequent mechanism of imatinib resistance in GIST is the acquisition of secondary mutations in either KIT or PDGFRA. There are also some imatinib-resistant GIST patients lacking an identifiable mechanism of treatment failure. Recently, activating BRAF mutation was detected in a small percentage of GISTs. In this study, we report a case of GIST with acquired resistance to imatinib during therapy. METHODS: Histological, immunohistochemical, Western blot and mutational analyses were performed on GIST tissues before and after imatinib resistance. RESULTS: The imatinib-resistant tumor showed not only heterogeneous mutations of KIT and BRAF besides the primary mutation, but also transdifferentiation into a rhabdomyosarcoma phenotype. According to Western blot analysis, in imatinib-resistant GIST with both KIT V559D and BRAF V600E mutations, the inhibition of KIT V559D by imatinib caused a strong decrease of AKT phosphorylation, while ERK1/2 phosphorylation was not affected. CONCLUSIONS: This finding, in combination with the loss of KIT expression, suggests the possibility of activation of RAS-RAF-MEK-ERK pathways driven by a KIT-independent oncogenic mechanism. Understanding the genetic aberrations beyond KIT and PDGFRA may lead to the identification of additional therapeutic targets for GISTs.

SYNPO2 promotes the development of BLCA by upregulating the infiltration of resting mast cells and increasing the resistance to immunotherapy.

Synaptopodin 2 (SYNPO2) plays a pivotal role in regulating tumor growth, development and progression in bladder urothelial Carcinoma (BLCA). However, the precise biological functions and mechanisms of SYNPO2 in BLCA remain unclear. Based on TCGA database­derived BLCA RNA sequencing data, survival analysis and prognosis analysis indicate that elevated SYNPO2 expression was associated with poor survival outcomes. Notably, exogenous SYNPO2 expression significantly promoted tumor invasion and migration by upregulating vimentin expression in BLCA cell lines. Enrichment analysis revealed the involvement of SYNPO2 in humoral immune responses and the PI3K/AKT signaling pathway. Moreover, increased SYNPO2 levels increased the sensitivity of BLCA to PI3K/AKT pathway­targeted drugs while being resistant to conventional chemotherapy. In in vivo BLCA mouse models, SYNPO2 overexpression increased pulmonary metastasis of 5637 cells. High SYNPO2 expression led to increased infiltration of innate immune cells, particularly mast cells, in both nude mouse model and clinical BLCA samples. Furthermore, tumor immune dysfunction and exclusion score showed that patients with BLCA patients and high SYNPO2 expression exhibited worse clinical outcomes when treated with immune checkpoint inhibitors. Notably, in the IMvigor 210 cohort, SYNPO2 expression was significantly associated with the population of resting mast cells in BLCA tissue following PD1/PDL1 targeted therapy. In conclusion, SYNPO2 may be a promising prognostic factor in BLCA by modulating mast cell infiltration and exacerbating resistance to immune therapy and conventional chemotherapy.

TSC22D2 Regulates ACOT8 to Delay the Malignant Progression of Colorectal Cancer.

Purpose: Colorectal cancer (CRC) is one of the cancers with high incidence and mortality rates worldwide. In China, there are approximately 400,000 new CRC cases each year, seriously endangering people's life and health. Transforming growth factor ß-stimulated clone 22 domain family, member 2 (TSC22D2) is widely expression in cancers, but the role of TSC22D2 in CRC are still unknown. Methods: Real­time quantitative PCR (qRT-PCR) and Western blot were applied to determine the TSC22D2 levels. CCK-8, colony formation and transwell assays were used to determine the proliferation and metastasis abilities of CRC cells in vitro. In vivo metastatic potential was assessed using a subcutaneously injected mouse model and. Western-blot and immunoprecipitation experiments were used to study the mechanism of TSC22D2­mediated metastasis. Results: We found TSC22D2 was deregulated in CRC tissues and cells and implied poor prognosis. Overexpression TSC22D2 significantly promoted CRC cells proliferation and tumorigenicity both in vitro and vivo, whereas knockdown TSC22D2 resulted in the opposite effects. Importantly using a co-immunoprecipitation (co-IP) assay combined with mass spectrometry analysis to identify TSC22D2-interacting acyl-coenzyme A thioesterases 8 (ACOT8), TSC22D2 maintained stability of ACOT8. Overexpression of TCC22D2 in CRC cells can promote the expression of ACOT8 and inhibit the proliferation and metastasis of CRC cells through EMT mechanism, highlighting the possibility of TSC22D2 as a potential target in CRC development. Conclusion: In summary, the present study revealed the inhibitory effect of TSC22D2 on the proliferation of colorectal cancer cells, suggesting that TSC22D2 may be an important tumor suppressor and a potential therapeutic target during colorectal carcinogenesis.

PPP1R14B-mediated phosphorylation enhances protein stability of RPS6KA1 to promote hepatocellular carcinoma tumorigenesis.

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers worldwide with a poor clinical prognosis. Protein phosphatase 1 regulatory subunit 14B (PPP1R14B) is an unidentified protein phosphatase 1 regulatory subunit that is associated with the occurrence and development of various cancers. Recently, PPP1R14B was found to contribute to paclitaxel resistance and cell progression in triple-negative breast cancer; however, the role of PPP1R14B in HCC is unknown. Here, we found that PPP1R14B was highly expressed in HCC tissues, which suggested a poor prognosis. Knockdown of PPP1R14B significantly inhibited the survival and tumorigenic ability of HCC cells, while overexpression of PPP1R14B had the opposite effects. Mechanistically, Ribosomal Protein S6 Kinase type 1(RPS6KA1) was identified as the target gene of PPP1R14B. PPP1R14B maintained the stability and phosphorylation of RPS6KA1, and positively regulated activation of the AKT/NF-κB pathway. Importantly, PPP1R14B-deficient tumor suppression could be partially restored by wild-type but not phosphorylated mutant RPS6KA1. Taken together, these findings shed light on the function and mechanism of PPP1R14B in HCC progression, indicating PPP1R14B is a promising molecular target for the treatment of HCC.

FGF19/FGFR4 signaling contributes to hepatocellular carcinoma survival and immune escape by regulating IGF2BP1-mediated expression of PD-L1.

Immune-checkpoint blockade (ICB) therapies have been widely used in clinical treatment of cancer patients, but only 20-30% of patients benefit from immunotherapy. Therefore, it is important to decipher the molecular mechanism of resistance to ICB and develop new combined treatment strategies. PD-L1 up-regulation in tumor cells contributes to the occurrence of immune escape. Increasing evidence shows that its transcription level is affected by multiple factors, which limits the objective response rate of ICB. Fibroblast growth factor 19 (FGF19), a member of the fibroblast growth factor family, is widely involved in the malignant progression of many tumors by binding to fibroblast growth factor receptor 4 (FGFR4). In this study, we confirmed that FGF19 acts as a driver gene in hepatocellular carcinoma (HCC) progression by binding to FGFR4. The up-regulation of FGF19 and FGFR4 in HCC is associated with poor prognosis. We found that FGF19/FGFR4 promoted the proliferation and invasion of HCC cells by driving IGF2BP1 to promote PD-L1 expression. Knockdown of FGFR4 significantly reduced the expression of IGF2BP1/PD-L1 and inhibited the proliferation and invasion of HCC cells. These biological effects are achieved by inhibiting the PI3K/AKT pathway. The combination of FGFR4 knockdown and anti-PD-1 antibody greatly suppressed tumor growth and enhanced the sensitivity of immunotherapy, highlighting the clinical significance of FGF19/FGFR4 activation in immunotherapy.

Investigation of the mechanism of USP28-mediated IFITM3 elevation in BCR-ABL-dependent imatinib resistance in CML.

Due to resistance and BCR-ABLT315I-mutated, CML remains a clinical challenge. It needs new potential therapeutic targets to overcome CML resistance related to BCR-ABL. Our research revealed that the deubiquitinating enzyme USP28 was highly expressed in BCR-ABL-dependent CML patients. Similarly, a high expression of USP28 was found in the K562 cell line, particularly in the imatinib-resistant strains. Notably, USP28 directly interacted with BCR-ABL. Furthermore, when BCR-ABL and its mutant BCR-ABLT315I were overexpressed in K562-IMR, they promoted the expression of IFITM3. However, when small molecule inhibitors targeting USP28 and small molecule degraders targeting BCR-ABL were combined, they significantly inhibited the expression of IFITM3. The experiments conducted on tumor-bearing animals revealed that co-treated mice showed a significant reduction in tumor size, effectively inhibiting the progression of CML tumors. In summary, USP28 promoted the proliferation and invasion of tumor cells in BCR-ABL-dependent CML by enhancing the expression of IFITM3. Moreover, imatinib resistance might be triggered by the activation of the USP28-BCR-ABL-IFITM3 pathway. Thus, the combined inhibition of USP28 and BCR-ABL could be a promising approach to overcome CML resistance dependent on BCR-ABL.

Nanoreactors with Cascade Catalytic Activity Reprogram the Tumor Microenvironment for Enhanced Immunotherapy by Synchronously Regulating Treg and Macrophage Cells.

Immunotherapy has been extensively utilized and studied as a prominent therapeutic strategy for tumors. However, the presence of a hypoxic immunosuppressive tumor microenvironment significantly reduces the efficacy of the treatment, thus impeding its application. In addition, the hypoxic microenvironment can also lead to the enrichment of immunosuppressive cells and reduce the effectiveness of tumor immunotherapy; nanoparticles with biocatalytic activity have the ability to relieve hypoxia in tumor tissues and deliver drugs to target cells and have been widely concerned and applied in the field of tumor therapy. The present study involved the development of a dual nanodelivery system that effectively targets the immune system to modify the tumor microenvironment (TME). The nanodelivery system was developed by incorporating R848 and Imatinib (IMT) into Pt nanozyme loaded hollow polydopamine (P@HP) nanocarriers. Subsequently, their surface was modified with specifically targeted peptides that bind to M2-like macrophages and regulatory T (Treg) cells, thereby facilitating the precise targeting of these cells. When introduced into the tumor model, the nanocarriers were able to selectively target immune cells in tumor tissue, causing M2-type macrophages to change into the M1 phenotype and reducing Treg activation within the tumor microenvironment. In addition, the carriers demonstrated exceptional biocatalytic activity, effectively converting H2O2 into oxygen and water at the tumor site while the drug was active, thereby alleviating the hypoxic inhibitory conditions present in the tumor microenvironment. Additionally, this further enhanced the infiltration of M1-type macrophages and cytotoxic T lymphocytes. Moreover, when used in conjunction with immune checkpoint therapy, the proposed approach demonstrated enhanced antitumor immunotherapeutic effects. The bimodal targeted immunotherapeutic strategy developed in the present study overcomes the drawbacks of traditional immunotherapy approaches while offering novel avenues for the treatment of cancer.

Application on power system economic dispatch of marine predator algorithm improved by asymmetric information exchange.

The solution to the economic dispatch (ED) problem for power systems allows the power sector to reduce operating costs. However, the ED problem is a complex nonlinear and nonconvex optimization problem whose solution requires powerful algorithms. We propose a new version of the Marine Predator Algorithm (MPA), called IMPA, for solving complex ED problems. The algorithm introduces an asymmetric information exchange (AIE) mechanism, which not only accelerates to escape of local optima but also enriches the diversity of search. In this work, 12 benchmark functions were used to test the performance of the proposed algorithm IMPA. Then, the IMPA was used to solve the ED engineering problem of power system containing of 6, 13, 40, and complex 140 units. The minimum and average costs searched by IMPA are 1657962.7265$/h and 1657962.7265$/h, and they are much lower than the results of the MPA and NMPA, which means that our proposed improved IMPA improves the performance of MPA for solving the economic dispatch problem of large-scale power systems. The results show that the solutions obtained by IMPA are more competitive than those of MPA and NMPA, which provides an additional solution for cost reduction of the power system.

USP24 promotes hepatocellular carcinoma tumorigenesis through deubiquitinating and stabilizing TRAF2.

Ubiquitin-specific peptidase 24 (USP24), a member of the deubiquitinase family, plays an important role in tumor regulation. However, the role of USP24 in Hepatocellular carcinoma（HCC）is unknown. The aim of our study was to explore the role of USP24 in HCC to seek new therapeutic targets for HCC. In this study, we found that USP24 was aberrantly upregulated in HCC tissues and predicted poor prognosis. USP24 markedly promoted HCC proliferation and progression in vitro and in vivo. Mechanistically, USP24 binds to tumor necrosis factor receptor-associated factor 2(TRAF2) and inhibits its degradation, thereby promoting the accumulation of TRAF2. Upregulation of TRAF2 activated protein kinase B/nuclear factor kappa-B (AKT/ NF-κB) signaling pathway and promoted HCC cell survival. In addition, USP24 positively correlated with programmed cell death ligand 1(PD-L1) expression in HCC, highlighting the clinical significance of USP24 activation in tumor immune evasion. Deletion of USP24 enhanced the tumor-killing ability of CD8+ T cells. Deletion of USP24 combined with anti-PD-1 antibody significantly enhanced the efficacy of HCC immunotherapy. Taken together, USP24 can be employed as a promising target to restrain tumor growth and increase the efficacy of HCC immunotherapy.

The IGF2BP2-lncRNA TRPC7-AS1 axis promotes hepatocellular carcinoma cell proliferation and invasion.

Hepatocellular carcinoma(HCC) is one of the most common tumors in the world. Human insulin-like growth factor 2(IGF2) mRNA binding protein 2(IGF2BP2) plays an important role in the progression of hepatocellular carcinoma. Additionally, long non-coding RNA(lncRNA) has been confirmed as a key regulator of hepatocellular carcinoma occurrence. However, the function of TRPC7-AS1 has not been verified in hepatocellular carcinoma. The research results revealed that high IGF2BP2 expression was associated with a decreased survival rate in patients with hepatocellular carcinoma. Furthermore, IGF2BP2 knockdown inhibited and IGF2BP2 overexpression promoted the cell proliferation and invasion of hepatocellular carcinoma cells. The research illuminated that IGF2BP2 regulated the expression of TRPC7-AS1, and a correlation was observed between IGF2BP2 and TRPC7-AS1 expression. TRPC7-AS1 silencing repressed and its overexpression promoted the progression of hepatocellular carcinoma. After silencing or overexpressing TRPC7-AS1, the expression of the high-mobility group AT-hook 2 (HMGA2) gene decreased or increased, respectively. IGF2BP2 enhanced the expression of TRPC7-AS1 and thus affected the expression of HMGA2, thereby promoting hepatocellular carcinoma progression.

Crystal structures, interactions with biomacromolecules and anticancer activities of Mn(II), Ni(II), Cu(II) complexes of demethylcantharate and 2-aminopyridine.

Three novel transition metal complexes (Hapy)(2)[M(DCA)(2)]·6H(2)O (M = Mn(II) (1), Ni(II) (2), Cu(II) (3); DCA = demethylcantharate, 7-oxabicyclo[2.2.1]heptane-2,3-dicarboxylate, C(8)H(8)O(5); Hapy = 2-aminopyridine acid, C(5)H(7)N(2)) were synthesized and characterized by elemental analysis, infrared spectra, thermogravimetric analysis and X-ray diffraction. DNA binding properties of the complexes were investigated by electronic absorption spectra, fluorescence spectra and viscosity measurements. Results indicated the complexes could bind to DNA through partial intercalation mode with binding constants K ( b )/(L·mol(-1)) of 1.91 × 10(4) (1), 5.13 × 10(4) (2) and 1.12 × 10(5) (3) at 298 K. Meanwhile, the interactions of the complexes with BSA were also studied by fluorescence spectra. The results suggested that the complexes could quench the fluorescence of BSA through static quenching with the binding constants K ( A )/(L·mol(-1)) of 1.44 × 10(6) (1), 1.14 × 10(7) (2) and 2.98 × 10(4) (3). And the main contribution was tryptophan residues of BSA. The antiproliferative activity test revealed that complexes showed more intense inhibition ratios against human hepatoma cells lines and human gastric cancer cells lines in vitro. Copper(II) complex (3) possesses the strongest inhibition ratio against human hepatoma cells.

Synthesis of 2-phenylbenzofuran derivatives and selective binding activities on estrogen receptor.

An improved chemical reaction protocol with short time and easy work-up was described here for 2-phenylbenzofuran derivatives. The final purified products, 2-phenylbenzofuran derivatives 5a-g and the intermediate diols 4a-g, were evaluated for their estrogen receptor (ER) binding affinity and selective activity in vitro. Among these fourteen tested compounds, 4g and 5g showed higher binding affinity on ER subtypes, ERα and ERß. Compound 4g exhibited preferable ERα binding, while 5g was more estrogen selective for ERß. The molecular docking was also performed to explore the detailed interactive interface between ER and the compounds.

Detection and quantification of anomalies in communication networks based on LSTM-ARIMA combined model.

The anomaly detection for communication networks is significant for improve the quality of communication services and network reliability. However, traditional communication monitoring methods lack proactive monitoring and real-time alerts and the prediction effect of a single machine learning model on communication data containing multiple features is not ideal. To solve the problem, A prediction-then-detection anomaly detection method was proposed, and quantitative assessment of network anomalies was developed. Specifically, anomaly-free data was obtained by eliminating outliers, and the long short-term memory (LSTM) and autoregressive integral moving average (ARIMA) were combined via residual weighting to predict the future state of the key performance indicators (KPI) without outliers. Anomalies were identified using the error comparison between the prediction and actual values, and the network condition was quantified using the scoring method. It is observed that the proposed LSTM-ARIMA hybrid model has better prediction effect, which can well represent the performance of KPIs of the future state, and the prediction-then-detection anomaly detection method has excellent performance on both precision and recall.

Uricase sensitizes hepatocellular carcinoma cells to 5-fluorouracil through uricase-uric acid-UMP synthase axis.

Conventional chemotherapy plays a key role in hepatocellular carcinoma (HCC) treatment, however, with intrinsic or acquired chemoresistance being a major constraint. Here, we aimed to identify potential target to reverse such chemoresistance. In the present study, we found significant difference in uridine monophosphate synthetase (UMPS) expression between 5-FU resistant and sensitive HCC cell lines and the overexpression or downregulation of UMPS impacted 5-FU response in HCC cells. We further found that inhibition of UMPS activity with uric acid at concentration present in human plasma decreased the 5-FU sensitivity of HCC cells, while reduction of uric acid levels with uricase improved the 5-FU sensitivity of HCC cells as well as colorectal cancer cells. In vivo studies also suggested that modulation of uric acid levels did affect 5-FU sensitivity of tumors. These data indicated that UMPS was correlated with the 5-FU resistance in HCC cells and uricase sensitized cancer cells to 5-FU through uricase-uric acid-UMP synthase axis, which provided a potential strategy to improve the efficacy of 5-FU-based chemotherapy for human cancers.