ObjectiveThis study sought to investigate the impact of exosomes derived from LoVo cells (LoVo-Exos) in colorectal cancer (CRC) on tumor angiogenesis, as well as to elucidate the potential molecular mechanisms underlying their pro-angiogenic effects. MethodsLoVo-Exos were isolated via ultracentrifugation, and their internalization into recipient human umbilical vein endothelial cells (HUVECs) was visualized using confocal microscopy. The influence of LoVo-Exos on angiogenesis was assessed through an in vitro tube formation assay. Additionally, the pro-angiogenic effects of LoVo-Exos were evaluated in vivo using a matrix gluing assay in mice. To investigate the molecular mechanisms through which LoVo-Exos facilitate angiogenesis, Western blot analysis was employed to examine the transfer of pEGFR by LoVo-Exos into recipient cells. Both Western blot and ELISA were utilized to assess the expression levels of key signaling proteins within the EGFR-ERK pathway, as well as the expression of downstream angiogenic core molecules. Furthermore, the impact of EGFR knockdown and ERK inhibitor treatment on angiogenesis was evaluated, with subsequent analysis of the expression of downstream angiogenic core molecules following these interventions. ResultsConfocal microscopy demonstrated the internalization of LoVo-Exos into HUVECs. In vitro angiogenesis assays further indicated that LoVo-Exos significantly enhanced the formation of tubular structures in HUVECs. Additionally, macroscopic examination of subcutaneous matrix plug formation in mice revealed a substantial increase in vascular-like structures within the matrix plugs following the administration of LoVo-Exos, compared to the PBS control group. Hematoxylin and eosin (HE) staining revealed the presence of erythrocyte-filled microvessels within the matrix plugs combined with LoVo-Exos. Furthermore, immunohistochemical analysis demonstrated the expression of the endothelial cell marker CD31 in these matrix plugs. The presence of CD31-positive cells in the LoVo-Exos-treated matrix plugs was associated with a significant enhancement in the formation of luminal structures. These findings suggest that LoVo-Exos facilitate the in vivo development of vascular-like structures. Subsequent investigations demonstrated that LoVo-Exos facilitated the delivery of pEGFR to HUVEC, thereby enhancing angiogenesis. Conversely, LoVo-Exos with EGFR knockdown exhibited a diminished capacity to promote angiogenesis, an effect that was further attenuated by the ERK phosphorylation inhibitor U0126. Western blot analysis assessing the activation of the EGFR-ERK signaling pathway in HUVEC indicated that LoVo-Exos augmented angiogenesis through the activation of this pathway. Furthermore, analysis of the impact of LoVo-Exos on the expression of downstream angiogenic core molecules revealed an increase in interleukin-8 (IL-8) secretion in HUVEC. The enhancement observed was diminished in LoVo-Exos following EGFR knockdown, and this reduction was counteracted by the ERK phosphorylation inhibitor U0126. ConclusionThe underlying mechanism may involve the delivery of pEGFR in LoVo-Exos to HUVECs, leading to increased IL-8 secretion via the EGFR-ERK signaling pathway, thereby enhancing the angiogenic potential of HUVECs. This finding may offer new insights into the mechanisms underlying cancer metastasis.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Aim To explore the potential genes and mechanism of alisol B in the treatment of non-small cell lung cancer(NSCLC).Methods The proliferation and migration of NSCLC cells were detected by CCK-8 and Transwell.Genes of NSCLC and alisol B were col-lected through TCGA and compound gene prediction database,and their intersection genes were obtained.The network of protein-protein interaction(PPI)was constructed by using String database,and the top 20 key nodes were screened out,and the prognosis-related proteins related to the prognosis of NSCLC were screened out by using R language,and the intersection of them was obtained.The potential mechanism of ali-sol B on NSCLC was explored by KEGG and GO en-richment analysis and the relationship between related genes and immune cells,which was verified by cell-lev-el experiments.Results Alisol B inhibited the cell activity and migration ability of NSCLC cells.Five im-portant genes were identified by network pharmacologi-cal analysis:CCNE1,CDK1,COL1A1,COL1A2 and COL3A1.The results of cell experiment showed that al-isol B down-regulated the expression of Cyclin E1,CDK1 and COL1A2 in NSCLC cells.In addition,alisol B could inhibit the expression of COL1A2 and M2 macrophage marker CD206 in macrophages.Conclu-sions Alisol B may inhibit the proliferation of tumor cells by down-regulating CDK1 and Cyclin E1,and may affect the function of macrophages by inhibiting COL1A2,thus regulating the tumor immune microenvi-ronment and inhibiting NSCLC.

Metastasis is the main risk factor for poor prognosis of laryngeal squamous cell carcinoma (LSCC) .Chemokines are closely related to metastasis in the tumor microenvironment.CXCL8 is a cyto-kine-like secreted protein that plays key roles in the malignant development of a variety of tumors,but has not been elucidated in LSCC.In this paper,we elucidated the role of CXCL8 in LSCC cells and found miRNAs that targeted CXCL8,which may become new targets for the diagnosis and treatment of LSCC.Firstly,the GEPIA showed that CXCL8 was highly expressed in head and neck cancer (P<0.05).The real-time fluorescence quantification (qRT-PCR) found that CXCL8 was highly expressed in LSCC cells.The enzyme-linked immunoassay also found that CXCL8 was highly secreted in the superna-tant of LSCC cells (P<0.001) .Then,the CCK8 assay confirmed that knockdown of CXCL8 significant-ly inhibited the proliferation of FD-LSC-1 and AMC-HN8 cells (the average inhibition rate was 34.0％and 19.5％,respectively);The EdU assay also confirmed that knockdown of CXCL8 significantly inhibi-ted the proliferation of LSCC cells (P<0.05) .The transwell assay confirmed that knockdown of CXCL8 also significantly inhibited the migration and invasion of FD-LSC-1 cell (average inhibition rate was 40.0％,38.5％,respectively);Knockdown of CXCL8 also significantly inhibited the migration and inva-sion of AMC-HN8 cell (average inhibition rate was 37.5％,53.5％,respectively ) .The analysis of bioinformatics predicted that CXCL8 may be a target of miR-513b-5p.The dual luciferase reporter assay confirmed that miR-513b-5p could bind to the CXCL8-3'UTR.QRT-PCR assay also confirmed that over-expression of miR-513b-5p could decrease the 60％ of the CXCL8 expression (P<0.01) .Cell function rescue assays found that overexpressed of CXCL8 could effectively reversed proliferation,migration and invasion of LSCC cells weakened by miR-513b-5p (P<0.05) .In summary,miR-513b-5p inhibited the proliferation,migration and invasion of LSCC cells by targeting CXCL8.

Objective:To investigate the clinical characteristics and treatment of relapsed CD5+diffuse large B-cell lymphoma(DLBCL).Methods:The data of a patient with CD5+DLBCL was collected,and its clinical characteristics and treatment outcome were analyzed.Results:The patient developed hemophagocytic syndrome and achieved complete remission(CR)after 6 cycles of R-ECHOP chemotherapy,then relapsed.After 2 cycles of PD-1 inhibitor combined with lenalidomide treatment,the patient achieved CR again accompanied by a decrease of interleukin(IL)-10 expression level.After a total of 15 cycles of chemotherapy,the patient remained in CR for 24 months,and the level of IL-10 remained in the normal range.Conclusion:PD-1 inhibitor combined with lenalidomide regimen may be a new treatment for relapsed CD5+DLBCL.

Objective:To investigate the effect of feeder layer cells expressing interleukin(IL)-21 on the amplification of NK cells in vitro.Methods:The K562 cell line with IL-21 expression on its membrane was constructed by electroporation,and co-cultured with NK cells after inactivation.The proliferation of NK cells was observed.The killing function of the amplified NK cells in vitro was evaluated by the lactate dehydrogenase(LDH)and interferon-γ(IFN-y)release assay.A colorectal cancer xenograft model in NOD/SCID mice was established,and a blank control group,a NK cell group and an amplified NK cell group were set up to detect the tumor killing effect of amplified NK cells in vivo.Results:K562 cells expressing IL-21 on the membrane were successfully constructed by electroporation.After co-culturing with K562 cells expressing IL-21 on the membrane for 17 days,the NK cells increased to 700 times,which showed an enhanced amplification ability compared with control group(P＜0.001).In the tumor cell killing experiment in vitro,there was no significant difference in the killing activity on tumor cells between NK cells and amplified NK cells,and there was also no significant difference in mice in vivo.Conclusion:K562 cells expressing IL-21 on the membrane can significantly increase the amplification ability of NK cells in vitro,but do not affect the killing function of NK cells in vitro and in vivo.It can be used for the subsequent large-scale production of NK cells in vitro.

Objective:To examine the application of a novel pedagogical approach multidimensional supportive psychological intervention(MSPI)in the clinical practice teaching of andrological nursing care.Methods:Using the Hamilton Depression Scale(HAMD),we assessed the psychology of 100 nursing interns about to enter clinical practice in the Department of Andrology from De-cember 2021 to December 2022.We equally randomized the subjects into an experimental and a control group,the former receiving MSPI and the latter trained on the conventional teaching model without any psychological support intervention.Results:Compared with the baseline,the HAMD scores were significantly decreased in the experimental group after intervention(12.4±2.1 vs 8.9±2.4,P＜0.01),but increased in the controls(13.1±1.8 vs 14.7±1.9,P＜0.01);the skill scores dramatically increased in the experimental group(82.6±4.7 vs 91.2±2.4,P＜0.01),but decreased in the control group after intervention(81.0±3.5 vs 80.4±2.7,P=0.28).Conclusion:MSPI can significantly enhance the learning enthusiasm of nursing students in a short period,re-duce their psychological stress and improve teaching outcomes.This approach,combining psychology with teaching,can also strength-en the mental resilience of nursing students and better confront them with future professional challenges.

AIM To analyze the metabolites of nobiletin in rats in vivo based on characteristic ions.METHODS Ten rats were assigned into administration group and control group,and given intragastric administration of the 0.5％CMC-Na suspension of nobiletin(250 mg/kg)and 0.5％CMC-Na solution,respectively,after which plasma,urine and feces were collected,solid phase extraction method was adopted in pretreatment,UHPLC-HRMS analysis was performed.The candidate metabolites were systematically described according to diagnostic product ions,chromatographic retention time,accurate molecular weight and neutral loss fragments,after which accurate metabolites were obtained in the established metabolite data set with-CH3(m/z 15)characteristic ions as a baits.RESULTS A total of 64 metabolites were identified,whose main metabolic pathways were glucuronidation,sulfation,hydrogenation and their compound reactions.CONCLUSION This experiment elucidates the metabolites of nobiletin in rats in vivo,which provides a new reference for its further development.

AIM To study the chemical constituents from the aerial parts of Stephania tetrandra S.Moore and predict their potential targets and activities.METHODS The 70%ethanol extract from the aerial parts of S.tetrandra was isolated and purified by macroporous resin,silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The potential targets and activities of the compounds were predicted by the PharmMapper platform.RESULTS Eleven compounds were isolated and identified as 6S,6a S-N-neolitsine Nα-oxide(1),neolitsine(2),dicentrine(3),nantenine(4),oxonantenine(5),oxophoebine(6),N-acetylnordicentrine(7),liriodenine(8),6R,6a S-N-nantenine Nβ-oxide(9),oxocrebanine(10),stigmast-4-ene-6β-ol-3-one(11).The potential targets of compounds include insulin-like growth factor 1 receptor and transthyretin.CONCLUSION Compound 1 is a new compound,and compounds 6,8-11 are isolated from this plant for the first time.Compounds 1-11 exhibit the potential activities of inhibiting a variety of tumor cells.

AIM To study the chemical constituents form the leaves of Castanopsis orthacantha Fance and their α-glucosidase inhibitory activities.METHODS The methanol extract form the leaves of C.orthacanth was isolated and purified by various column chromatography methods,such as MCI gel CHP 20P,Sephadex LH-20,Diaion HP20SS,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The α-glucosidase inhibitory activities were determined by PNPG method.RESULTS Eighteen compounds were isolated and identified as protocatechuic acid(1),gallic acid(2),3-O-α-L-arabininopyranosyl-4-hydroxybenzoic acid(3),3-O-galloyl shikimic acid(4),methyl 4-epi-shikimate-3-O-gallate(5),5-O-galloyl shikimic acid(6),5-O-caffeoylshikimic acid(7),6-O-galloyl-glucoside(8),1,6-di-O-galloyl-β-D-pyranogluloside(9),1,3-di-O-galloyl-α-D-glucoside(10),2,3-di-O-galloyl-D-glucoside(11),β-O-methylgluco-2,3-digalloyl esters(12),(3R,1'S)-[1'-(6"-O-galloyl-β-D-gluco-pyranosyl)oxyethyl]-3-hydroxy-dihydrofuran-2(3H)-one(13),4-O-D-(6'-O-galloyl)glucopyranyl-(E)-p-coumaryl acid(14),chestanin(15),1-desgalloyl eugeniin(16),picrorhiza acid(17),11-methyl chebulate(18).The IC50 values of compounds 2 and 16 were(0.12±0.059),(0.00089±0.00025)mmol/L,respectively.CONCLUSION All compounds are isolated from the leaves of C.orthacantha for the first time.Compounds 2 and 16 have strong α-glucosidase inhibitory activities.