An adaptive operation planning and EBO-BPNN optimization method for decision support systems.

Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This paper proposes a COA planning method based on line of operation (LOO) and uses planning domain definition language (PDDL) to describe combat scenarios and COA. Following the effect-based optimization (EBO) principle, an effect evaluation model for COA was constructed, and dynamic bayesian networks (DBNs) was used to determine the reasoning and calculate the results of the effect evaluation network. To further improve the execution efficiency of the effect evaluation model in practical applications, the network was optimized through a back propagation neural network (BPNN). Relevant experiments based on the coordinated distributed air defense and anti-missile scenario were carried out using the LOO model to complete the planning of COA. A BPNN evaluation model based on the DBNs evaluation model was built. After training and fine-tuning, it achieved similar evaluation results, with a mean absolute percentage error (MAPE) of less than 0.02%. Compared with the DBNs model, the BPNN model achieved an efficiency improvement of no less than 65%, effectively reducing the consumption of computing resources. This research is the first time to realize the modeled description of COA planning, automatic evaluation, and calculation optimization of COA effects. It can support the development of decision support systems (DSS) and has the potential for practical application.

Association of Pain Intensity and Sensitivity with Suicidal Ideation in Adolescents with Depressive Disorder.

Purpose: The purpose of this study was to further explore the association of pain intensity and sensitivity with suicidal ideation in adolescents with depressive disorder by comparing the differences in pain intensity and sensitivity between adolescent patients with depressive disorders and healthy controls. Patients and Methods: A consecutive enrollment method was used to select 158 adolescent patients with depressive disorders from three hospitals in Anhui Province as the MDD group, and 47 healthy adolescents were recruited as the Control group. The subjects' suicidal ideation was assessed using the Positive and Negative Suicide Ideation scale (PANSI), and the intensity of somatic pain was assessed using the Numerical Rating Scale-11 (NRS-11). Subjects were assessed for forearm and tibial pain sensitivity using a hand-held pressure pain instrument, and experimental pain sensitivity measures included pressure pain threshold (PPT) and pressure pain tolerance (PTO). Differences in pain intensity and sensitivity between the MDD group and the Control group were compared, and the association of pain intensity and sensitivity with suicidal ideation was analyzed. Results: The incidence of physical pain in adolescent depressive disorder was higher at 88.6%, which was significantly higher than the Control group (P<0.001), and the pain intensity in the MDD group (3.77±2.48) was significantly higher than the Control group (0.617±0.99) (P <0.001).The Pain tolerance was significantly higher in the MDD group (forearm 105.37 ± 41.46; tibia 121.29 ± 41.60) than in the Control group (forearm 91.92 ± 37.62; tibia 105.47 ± 35.52) (P < 0.05).Linear regression analysis showed that the greater the pain intensity and pain tolerance, the higher the total PANSI score.Binary logistic regression showed that pain intensity was an influencing factor for suicidal ideation. Conclusion: Adolescents with depressive disorders have higher pain intensity and lower pain sensitivity than healthy adolescents. Increased pain intensity and pain tolerance were positively correlated with suicidal ideation.

Insights into ACO genes across Rosaceae: evolution, expression, and regulatory networks in fruit development.

BACKGROUND: ACO (1-aminocyclopropane-1-carboxylic acid) serves as a pivotal enzyme within the plant ethylene synthesis pathway, exerting influence over critical facets of plant biology such as flowering, fruit ripening, and seed development. OBJECTIVE: This study aims to identify ACO genes from representative Rosaceae genomes, reconstruct their phylogenetic relationships by integrating synteny information, and investigate their expression patterns and networks during fruit development. METHODS: we utilize a specialized Hidden Markov Model (HMM), crafted on the sequence attributes of ACO gene-encoded proteins, to systematically identify and analyze ACO gene family members across 12 representative species within the Rosaceae botanical family. Through transcriptome analysis, we delineate the expression patterns of ACO genes in six distinct Rosaceae fruits. RESULTS: Our investigation reveals the presence of 62 ACO genes distributed among the surveyed Rosaceae species, characterized by hydrophilic proteins predominantly expressed within the cytoplasm. Phylogenetic analysis categorizes these ACO genes into three discernible classes, namely Class I, Class II, and Class III. Further scrutiny via collinearity assessment indicates a lack of collinearity relationships among these classes, highlighting variations in conserved motifs and promoter types within each class. Transcriptome analysis unveils significant disparities in both expression levels and trends of ACO genes in fruits exhibiting respiratory bursts compared to those that do not. Employing Weighted Gene Co-Expression Network Analysis (WGCNA), we discern that the co-expression correlation of ACO genes within loquat fruit notably differs from that observed in apples. Our findings, derived from Gene Ontology (GO) enrichment results, signify the involvement of ACO genes and their co-expressed counterparts in biological processes linked to terpenoid metabolism and carbohydrate synthesis in loquat. Moreover, our exploration of gene regulatory networks (GRN) highlights the potential pivotal role of the GNAT transcription factor (Ejapchr1G00010380) in governing the overexpression of the ACO gene (Ejapchr10G00001110) within loquat fruits. CONCLUSION: The constructed HMM of ACO proteins offers a precise and systematic method for identifying plant ACO proteins, facilitating phylogenetic reconstruction. ACO genes from representative Rosaceae fruits exhibit diverse expression and regulative patterns, warranting further function characterizations.

SEP-363856 exerts neuroprotection through the PI3K/AKT/GSK-3ß signaling pathway in a dual-hit neurodevelopmental model of schizophrenia-like mice.

Schizophrenia (SZ) is a serious, destructive neurodevelopmental disorder. Antipsychotic medications are the primary therapy approach for this illness, but it's important to pay attention to the adverse effects as well. Clinical studies for SZ are currently in phase ΙΙΙ for SEP-363856 (SEP-856)-a new antipsychotic that doesn't work on dopamine D2 receptors. However, the underlying action mechanism of SEP-856 remains unknown. This study aimed to evaluate the impact and underlying mechanisms of SEP-856 on SZ-like behavior in a perinatal MK-801 treatment combined with social isolation from the weaning to adulthood model (MK-SI). First, we created an animal model that resembles SZ that combines the perinatal MK-801 with social isolation from weaning to adulthood. Then, different classical behavioral tests were used to evaluate the antipsychotic properties of SEP-856. The levels of proinflammatory cytokines (tumor necrosis factor-α, interleukin-6, and interleukin-1ß), apoptosis-related genes (Bax and Bcl-2), and synaptic plasticity-related genes (brain-derived neurotrophic factor [BDNF] and PSD-95) in the hippocampus were analyzed by quantitative real-time PCR. Hematoxylin and eosin staining were used to observe the morphology of neurons in the hippocampal DG subregions. Western blot was performed to detect the protein expression levels of BDNF, PSD-95, Bax, Bcl-2, PI3K, p-PI3K, AKT, p-AKT, GSK-3ß, p-GSK-3ß in the hippocampus. MK-SI neurodevelopmental disease model studies have shown that compared with sham group, MK-SI group exhibit higher levels of autonomic activity, stereotyped behaviors, withdrawal from social interactions, dysregulated sensorimotor gating, and impaired recognition and spatial memory. These findings imply that the MK-SI model can mimic symptoms similar to those of SZ. Compared with the MK-SI model, high doses of SEP-856 all significantly reduced increased activity, improved social interaction, reduced stereotyping behavior, reversed sensorimotor gating dysregulation, and improved recognition memory and spatial memory impairment in MK-SI mice. In addition, SEP-856 can reduce the release of proinflammatory factors in the MK-SI model, promote the expression of BDNF and PSD-95 in the hippocampus, correct the Bax/Bcl-2 imbalance, turn on the PI3K/AKT/GSK-3ß signaling pathway, and ultimately help the MK-SI mice's behavioral abnormalities. SEP-856 may play an antipsychotic role in MK-SI "dual-hit" model-induced SZ-like behavior mice by promoting synaptic plasticity recovery, decreasing death of hippocampal neurons, lowering the production of pro-inflammatory substances in the hippocampal region, and subsequently initiating the PI3K/AKT/GSK-3ß signaling cascade.

Gradient heating activated ammonium persulfate oxidation for efficient preparation of high-quality chitin nanofibers.

APS is a cheap and eco-friendly oxidant which enables one-step extraction of nanochitin (NCh) from fishery wastes. However, it is challenging to improve the preparation efficiency and NCh quality simultaneously, owing to the uneven or uncontrollable oxidation. Herein, we propose a simple and controllable way to isolate chitin nanofibers (ChNFs) from squid pen by gradient heating activated (GHA)- ammonium persulfate (APS) oxidation. Compared to the isothermal activated (ITA)-APS oxidation, our strategy reduced the mass ratio of squid pen to APS from 1:45 to 1:6 and reaction time from 15 h to 8 h. Meanwhile, the as-prepared ChNFs exhibited high yield (91.5 %), light transmittance (98 % at 500 nm), crystallinity index (96.9 %), and carboxyl content (1.53 mmol/g). GHA-APS oxidation involved multiple continuous heating and isothermal stages. The former stimulates a moderate activation of APS and enhances the oxidation rate, while the latter provides a duration for surface chemistry. This non-isothermal heating facilitates the continuous decomposition of APS at a relatively high and consistent rate, thereby enhances its oxidation efficiency. Furthermore, green assessments indicate this method is simple, time-saving, eco-friendly and cost-effective. Overall, this work introduces a novel perspective for the industrial extraction of high-efficiency and high-quality nanomaterials.

Discovery of novel HER2 targeting peptide-camptothecin conjugates with effective suppression for selective cancer treatment.

Due to the strong selectivity and permeability of tumor tissue, anti-cancer peptide-drug conjugates (PDCs) can accumulate high concentration of toxic payloads at the target, effectively killing tumor cells. This approach holds great promise for tumor-targeted treatment. In our previous study, we identified the optimal peptide P1 (NPNWGRSWYNQRFK) targeting HER2 from pertuzumab, a monoclonal antibody that blocks the HER2 signaling pathway. Here, a series of PDCs were constructed through connecting P1 and CPT with different linkers. Among these, Z8 emerged as the optimal compound, demonstrating good antitumor activity and targeting ability in biological activity tests. Z8 exhibited IC50 values of 1.04 ± 0.24 µM and 1.91 ± 0.71 µM against HER2-positive SK-BR-3 and NCI-N87 cells, respectively. Moreover, superior antitumor activity and higher biosafety of Z8 were observed compared to the positive control CPT in vivo, suggesting a novel idea for the construction of PDCs.

[Neurotrophin-associated mechanisms of delayed-onset muscle soreness: research progress and perspective].

Delayed-onset muscle soreness (DOMS) is a common phenomenon that occurs following a sudden increase in exercise intensity or unfamiliar exercise, significantly affecting athletic performance and efficacy in athletes and fitness individuals. DOMS is characterized by allodynia and hyperalgesia, and their mechanisms remain unclear. Recent studies have reported that neurotrophic factors, such as nerve growth factor (NGF) and glial cell derived neurotrophic factor (GDNF), are involved in the development and maintenance of DOMS. This article provides a review of the research progress on the signaling pathways related to the involvement of NGF and GDNF in DOMS, hoping to provide novel insights into the mechanisms underlying allodynia and hyperalgesia in DOMS, as well as potential targeted treatment.

Integrating transcriptomics and machine learning for immunotherapy assessment in colorectal cancer.

Colorectal cancer (CRC) is a highly prevalent and lethal malignancy worldwide. Although immunotherapy has substantially improved CRC outcomes, intolerance remains a major concern among most patients. Considering the pivotal role of the tumor microenvironment (TME) in tumor progression and treatment outcomes, profiling the TME at the transcriptomic level can provide novel insights for developing CRC treatment strategies. Seventy-seven TME-associated signatures were acquired from previous studies. To elucidate variations in prognosis, clinical features, genomic alterations, and responses to immunotherapy in CRC, we employed a non-negative matrix factorization algorithm to categorize 2595 CRC samples of 27 microarrays from the Gene Expression Omnibus database. Three machine learning techniques were employed to identify a signature specific to immunotherapy. Subsequently, the mechanisms by which this signature interacts with TME subtypes and immunotherapy were investigated. Our findings revealed five distinct TME subtypes (TMESs; TMES1-TMES5) in CRC, each exhibiting a unique pattern of immunotherapy response. TMES1, TMES4, and TMES5 had relatively inferior outcomes, TMES2 was associated with the poorest prognosis, and TMES3 had a superior outcome. Subsequent investigations revealed that activated dendritic cells could enhance the immunotherapy response rate, with their augmentation effect closely associated with the activation of CD8+T cells. We successfully classified CRC into five TMESs, each demonstrating varying response rates to immunotherapy. Notably, the application of machine learning to identify activated dendritic cells helped elucidate the underlying mechanisms contributing to these differences. We posit that these TMESs hold promising clinical implications for prognostic evaluation and guidance of immunotherapy strategies, thereby providing valuable insights to inform clinical decision-making.

Prediction of quality markers in Maren Runchang pill for constipation using machine learning and network pharmacology.

Maren Runchang pill (MRRCP) is a Chinese patent medicine used to treat constipation in clinics. It has multi-component and multi-target characteristics, and there is an urgent need to screen markers to ensure its quality. The aim of this study was to screen quality markers of MRRCP based on a "differential compounds-bioactivity" strategy using machine learning and network pharmacology to ensure the effectiveness and stability of MRRCP. In this study, UPLC-Q-TOF-MS/MS was used to identify chemical compounds in MRRCP and machine learning algorithms were applied to screen differential compounds. The quality markers were further screened by network pharmacology. Meanwhile, molecular docking was used to verify the screening results of machine learning and network pharmacology. A total of 28 constituents in MRRCP were identified, and four differential compounds were screened by machine learning algorithms. Subsequently, a total of two quality markers (rutin and rubiadin) in MRRCP. Additionally, the molecular docking results showed that quality markers could spontaneously bind to core targets. This study provides a reference for improving the quality evaluation method of MRRCP to ensure its quality. More importantly, it provided a new approach to screen quality markers in Chinese patent medicines.

Oxidation with potassium ferrate for the one-pot preparation of carboxylated cellulose II nanocrystals.

Cellulose II nanocrystals (CNC II) possess a higher thermal stability and improved emulsifying capability than cellulose I nanocrystals (CNC I) owing to the higher density of their hydrogen bonds and more larger surface areas. Therefore, CNC II exhibit substantial advantages for value-added nanocomposite materials. Current CNC II preparation methods are mainly based on a two-pot reaction involving acid hydrolysis and crystal transformation. In this study, considering the oxidative nature of potassium ferrate (K2FeO4) in an alkaline environment containing a small amount of sodium hypochlorite (NaClO), a one-step and efficient approach was developed for the preparation of carboxyl-bearing CNC II from cotton pulp, affording a maximum CNC II yield of 45.14 %. Atomic force microscopy analysis revealed that the prepared CNCs exhibited a "rod-like" shape with a width of ~7 nm and a length of ~269 nm. The resulting CNC II also exhibited excellent thermal stability (Tonset = 311.4 °C). Furthermore, high-internal-phase Pickering emulsions (HIPPEs) stabilized by CNC II were prepared to stabilize liquid paraffin in the absence of surfactant. The results revealed that CNC II could be used as an effective emulsifier to fabricate the stable and gel-like HIPPEs, and are promising for the preparation of high value-added nanocomposite materials.

Origin and early divergence of tandem duplicated sorbitol transporter genes in Rosaceae: insights from evolutionary analysis of the SOT gene family in angiosperms.

Sorbitol is a critical photosynthate and storage substance in the Rosaceae family. Sorbitol transporters (SOTs) play a vital role in facilitating sorbitol allocation from source to sink organs and sugar accumulation in sink organs. While prior research has addressed gene duplications within the SOT gene family in Rosaceae, the precise origin and evolutionary dynamics of these duplications remain unclear, largely due to the complicated interplay of whole genome duplications and tandem duplications. Here, we investigated the synteny relationships among all identified Polyol/Monosaccharide Transporter (PLT) genes in 61 angiosperm genomes and SOT genes in representative genomes within the Rosaceae family. By integrating phylogenetic analyses, we elucidated the lineage-specific expansion and syntenic conservation of PLTs and SOTs across diverse plant lineages. We found that Rosaceae SOTs, as PLT family members, originated from a pair of tandemly duplicated PLT genes within Class III-A. Furthermore, our investigation highlights the role of lineage-specific and synergistic duplications in Amygdaloideae in contributing to the expansion of SOTs in Rosaceae plants. Collectively, our findings provide insights into the genomic origins, duplication events, and subsequent divergence of SOT gene family members. Such insights lay a crucial foundation for comprehensive functional characterizations in future studies.

Comparison of short-term outcomes of robotic-assisted radical colon cancer surgery using the Kangduo Surgical Robotic System and the Da Vinci Si Robotic System: a prospective cohort study.

BACKGROUND: Robotic surgery has been a revolution for colon cancer (CC) patients, with the increasing availability of different competitive robotic systems, but evidence of relevant oncologic outcomes is indeed scarce. Our goal was to compare the surgical quality and short-term oncologic outcomes of the Kangduo Surgical Robotic System and the da Vinci Si Robotic System in patients with CC. METHODS: These are results from a subcohort of a multicenter randomized controlled noninferiority trial performed in three centers in China. Enrolled patients were randomly assigned to undergo surgery using either the KD-SR-01 system (KD group) or the da Vinci Si (DV) robotic system (DV group). Neither investigators nor patients were masked to treatment allocation, but assessment of pathological outcomes was masked to treatment allocation. The primary endpoint was surgical success rate. The secondary endpoints were surgical outcomes, pathologic outcomes, and postoperative outcomes. The study is registered at www.chictr.org.cn (ChiCTR2200063172). Although the long-term follow-up results were not a predefined endpoint for this study, late-stage work is in progress. RESULTS: A total of 58 CC patients were included in this study, 28 in the KD group and 30 in the DV group. All patients were successfully operated without any intermediate open/conventional laparoscopic surgery and the success rate of surgery was 100%. Assessment of equipment docking task load and intraoperative operating sensation score were similar between the two groups. Adverse events and Clavien-Dindo grade II or higher grade complication rates were comparable between the two groups. Device arm docking time, robotic arm operation time, and intraoperative bleeding were not significantly different between the two groups. Similar results were obtained from postoperative pathological outcomes and internal environment indexes. CONCLUSIONS: The efficacy and safety of the Kangduo Robotic Surgical System has been proved, operation of the Kangduo Robotic System by experienced surgeons for CC is not less effective than the da Vinci robotic System.

Isolation, characterization, trypsin inhibition, liver protective and antioxidant activities of arabinoxylan from Massa Medicata Fermentata and its processed products.

Massa Medicata Fermentata (MMF) is a traditional Chinese medicine widely used in feed additives and human medicine. In this study, two neutral polysaccharides (SMMFP-1 and CMMFP-1) were isolated from two forms of MMF (sheng and chao MMF), and their structural characteristics and bioactivities were studied. The results showed that CMMFP-1 had higher average Mw compared with that of SMMFP-1. SMMFP-1 had a lower proportion of Ara, Xyl, GalA, and GlcA, but higher levels of Fuc, Gal, Man, and GulA. Compared with CMMFP-1, SMMFP-1 had a triple helix structure. SMMFP-1 had a layered structure, whereas CMMFP-1 had a curly layered structure. More glycosidic linkage types were found in SMMFP-1 than in CMMFP-1, and SMMFP-1 had a greater number of side chains. More importantly, SMMFP-1 showed better trypsin inhibition activity in vitro, liver-protective activity in vivo, and stronger antioxidant activity in vivo than CMMFP-1. Thus, arabinoxylans may be one of the active substances for different efficacies between MMF and its processed product. The results of this study facilitate the exploration of the correlation between the structural characteristics and biological functionalities of MMF arabinoxylans. Moreover, a theoretical basis is established for further study of the unique properties of arabinoxylans and their applications.

Xanthatin suppresses pancreatic cancer cell growth via the ROS/RBL1 signaling pathway: In vitro and in vivo insights.

BACKGROUND: As a malignant digestive system tumor, pancreatic cancer has a high mortality rate. Xanthatin is a sesquiterpene lactone monomer compound purified from the traditional Chinese herb Xanthium strumarium L. It has been reported that Xanthatin exhibits inhibitory effects on various cancer cells in retinoblastoma, glioma, hepatoma, colon cancer, lung cancer, as well as breast cancer. However, in pancreatic cancer cells, only one report exists on the suppression of Prostaglandin E2 synthesis and the induction of caspase 3/7 activation in Xanthatin-treated MIA PaCa-2 cells, while systematic in vitro and in vivo investigations and related mechanisms have yet to be explored. PURPOSE: This research aims to explore the in vitro and in vivo effects of Xanthatin on pancreatic cancer and its molecular mechanisms. METHODS: The anticancer effects and mechanisms of Xanthatin on pancreatic cancer cells were assessed through employing cell counting kit-8 (CCK-8) assay, lactate dehydrogenase (LDH) assay, carboxyfluorescein diacetate succinimidyl ester (CFDA SE) cell proliferation assay, colony formation assay, wound healing assay, transwell assay, Annexin V-FITC/propidium iodide (PI) dual staining, Hoechst nuclear staining, Western blot analysis, phosphoproteomics, and reactive oxygen species (ROS) measurement. The in vivo anticancer effects of Xanthatin on pancreatic cancer cells were studied using a nude mouse model. RESULTS: The present study showed that Xanthatin can prevent the proliferation and metastasis of pancreatic cancer cells and trigger the exposure of phosphatidylserine (PS), chromatin condensation, and caspase activation, thereby inducing apoptosis. Phosphoproteomic analysis indicated that Xanthatin inhibits the phosphorylation of the proliferation-associated protein RBL1, and oxidative stress can lead to RBL1 dephosphorylation. Further investigation revealed that Xanthatin significantly upregulates ROS levels in pancreatic cancer cells, and the antioxidant N-acetylcysteine (NAC) can reverse Xanthatin-induced cell proliferation inhibition and apoptosis. In addition, Xanthatin can suppress pancreatic cancer cell growth in a xenograft nude mouse model with low toxicity to the mice. CONCLUSION: Xanthatin may inhibit the proliferation of pancreatic cancer cells and trigger apoptosis through the ROS/RBL1 signaling pathway.

Co-delivery of a tumor microenvironment-responsive disulfiram prodrug and CuO2 nanoparticles for efficient cancer treatment.

Disulfiram (DSF) has been used as a hangover drug for more than seven decades and was found to have potential in cancer treatment, especially mediated by copper. However, the uncoordinated delivery of disulfiram with copper and the instability of disulfiram limit its further applications. Herein, we synthesize a DSF prodrug using a simple strategy that could be activated in a specific tumor microenvironment. Poly amino acids are used as a platform to bind the DSF prodrug through the B-N interaction and encapsulate CuO2 nanoparticles (NPs), obtaining a functional nanoplatform Cu@P-B. In the acidic tumor microenvironment, the loaded CuO2 NPs will produce Cu2+ and cause oxidative stress in cells. At the same time, the increased reactive oxygen species (ROS) will accelerate the release and activation of the DSF prodrug and further chelate the released Cu2+ to produce the noxious copper diethyldithiocarbamate complex, which causes cell apoptosis effectively. Cytotoxicity tests show that the DSF prodrug could effectively kill cancer cells with only a small amount of Cu2+ (0.18 µg mL-1), inhibiting the migration and invasion of tumor cells. In vitro and in vivo experiments have demonstrated that this functional nanoplatform could kill tumor cells effectively with limited toxic side effects, showing a new perspective in DSF prodrug design and cancer treatment.

Xanthatin induce DDP-resistance lung cancer cells apoptosis through regulation of GLUT1 mediated ROS accumulation.

Chemoresistance to cisplatin (DDP) therapy is a major obstacle that needs to be overcome in treating lung cancer patients. Xanthatin has been reported to exhibit an antitumor effect on various cancers, but the function of xanthatin in DDP-resistance lung cancer remains unclear. The study aimed to explore the effect and mechanisms of xanthatin on proliferation, apoptosis, and migration in DDP-resistance lung cancer cells. In the present study, xanthatin suppresses the expression of glucose transporter 1 (GLUT1), attenuates the pentose phosphate pathway (PPP), and causes ROS accumulation and apoptosis, thereby mitigating the antioxidative capacity in DDP-resistance cells. Previous studies have shown that GLUT1 is associated with resistance to platinum drugs. We found that GLUT1 was significantly increased in the DDP-resistant lung cancer cell line compared to the parental cell line, and xanthatin significantly downregulated GLUT1 expression in DDP-resistant lung cancer cells. Notably, overexpression of GLUT1 significantly reduced the production of ROS and increased cellular NADPH/NADP+ and GSH/GSSG ratios. Thus, these results suggest that xanthatin induces DDP-resistance lung cancer cells apoptosis through regulation of GLUT1-mediated ROS accumulation. These findings might provide a possible strategy for the clinical treatment of DDP-resistant lung cancer.

Molecular subtyping in colorectal cancer: A bridge to personalized therapy (Review).

Colorectal cancer (CRC) is a malignant tumor and a major cause of morbidity and mortality globally. The classic Tumor-Node-Metastasis staging system, which currently underlies the diagnosis and treatment of CRC, is primarily a 'one drug fits all' model for patients exhibiting the same pathological features. However, a high degree of variability has been established in the long-term survival outcomes of patients with CRC with similar pathological types and stages, which can be partially attributed to tumor-specific molecular biology to some extent. Molecular classification of CRC can further assist with understanding the biological behavior of tumor genesis, development and prognosis, and assist clinicians in improving or customizing the treatment strategy of CRC. In the present study, clinical studies carried out to date are reviewed, and their clinical value is discussed. A multilevel overview of the major molecular types of CRC is provided, in the hope that investigators are encouraged to combine multiple omics studies for interrogating cancer.

Exploration of Janus Kinase (JAK) and Histone Deacetylase (HDAC) Bispecific Inhibitors Based on the Moiety of Fedratinib for Treatment of Both Hematologic Malignancies and Solid Cancers.

The feedback activation of the Janus kinase (JAK)-STAT pathway leads to the fact that solid cancers are not sensitive to histone deacetylase (HDAC) inhibitors. Herein, a series of novel 2-amino-4-phenylaminopyrimidine JAK/HDAC dual-target inhibitors based on the moiety of fedratinib were designed and synthesized. Among them, 21 and 30 potently inhibited HDAC3/6 and JAK1/2 at nanomolar levels and exhibited splendid selectivity for the JAK2 against a panel of 76 kinases. 21 and 30 presented remarkable antiproliferative activity in both hematological malignancies and solid cancers, which was endorsed by JAK-STAT and HDAC pathway blockade and proapoptotic activity. On the basis of great plasma stability and oral bioavailability, 21 and 30 effectively suppressed the tumor growth of HEL and A549 xenograft models. Collectively, the above results validate that JAK/HDAC dual-target inhibitors provide valuable clues for targeted treatment of hematological malignancies and solid cancers.

CircSTK3 drives the metastasis of colorectal cancer by regulating epithelial-mesenchymal transition.

Circular RNAs (circRNAs) play crucial roles in malignancies. We aimed to delineate the functions and clinical importance of dysregulated circRNAs in colorectal cancer (CRC). We determined the circRNA expression profile from five CRC and paired adjacent normal tissues using circRNA microarray. We found that a novel circRNA, hsa_circ_0004592 (named circSTK3), was significantly upregulated in CRC tissues and correlated with decreased survival. Loss- and gain-of-function assays revealed that circSTK3 promoted the migration and invasion but not proliferation of cells. Whole genome expression microarray identified potential downstream targets and the regulatory networks of circSTK3; Gene Ontology analysis confirmed circSTK3 involvement in the CRC metastasis phenotype. Abnormal circSTK3 expression affected a subset of genes associated with CRC metastasis and triggered epithelial-mesenchymal transition programming, maintaining a tumor-promoting signature. Moreover, circSTK3 was transcriptionally regulated by CTCF. These findings reveal the functional and prognostic roles of circSTK3 and expose circRNAs as key players in metastasis.