Objective:To investigate the expression characteristics and clinical significance of FOXC1 in colon cancer,and decipher its mo-lecular mechanism in regulating tumor cell proliferation and apoptosis.Methods:The GEPIA database was employed to analyze the expres-sion of FOXC1 and its correlation with prognosis in colon cancer.Differential expression of FOXC1 was detected by qRT-PCR and Western blot in colon cancer cells(HCT116 and SW620)and normal colon epithelial cells(NCM460),and stable FOXC1-knockdown(sh-FOXC1)cell lines were established.Western blot,flow cytometry,CCK-8,and plate colony formation assays were performed to analyze the effects of FOXC1 knockdown on cell proliferation,cell cycle,and apoptosis.Furthermore,the downstream signaling pathway was verified using Rap1 overexpression rescue experiments.Results:FOXC1 mRNA expression was significantly higher in colon cancer tissues than in normal tissues(P<0.001).FOXC1 overexpression was nearing significance in relation to tumor staging(P=0.053),and patients with high FOXC1 expression had a shorter overall survival(Log-rank P=0.013).After FOXC1 knockdown,the expression of CyclinD1 and Bcl-2 decreased,whereas the ex-pression of Bax increased(P<0.01).The proportion of cells in the G0/G1 phase increased,while the proportion of cells in the S phase de-creased(P<0.001),and the cell proliferation activity and number of colonies formed decreased(P<0.001).Mechanistic studies demonstrated that after FOXC1 knockdown,Rap1 expression was reduced,while the expression of Rap1GAP increased(P<0.05).After restoration of Rap1 expression in FOXC1-knockdown cells,the downregulation of CyclinD1 and Bcl-2 expression and the increase in Bax expression were re-versed(P<0.05),the S phase ratio was increased(P<0.05),and cell proliferation activity and colony formation abilities were also re-scued.Conclusion:FOXC1 promotes colon cancer progression by facilitating Rap1 expression and downregulating Rap1GAP.Targeted inter-vention of the FOXC1-Rap1 signaling axis may emerge as a potential therapeutic strategy.

Human herpesvirus-6B (HHV-6B) reactivation is a significant contributor to nonrelapse mortality following allogeneic hematopoietic stem cell transplantation (allo-HSCT). This retrospective analysis describes three cases of HHV-6B reactivation following allo-HSCT, all of which achieved viral clearance with maribavir treatment following failure or intolerance to first-line antiviral therapy with foscarnet sodium. One patient diagnosed with HHV-6B encephalitis recovered without neurological sequelae. No adverse drug reactions to maribavir were observed. These findings provide preliminary evidence that maribavir may serve as an effective and safe salvage therapy for HHV-6B reactivation in patients receiving allo-HSCT.

Objective:To examine the distribution of pathogens that cause postoperative nosocomial infections in patients with rectal cancer(RC)and to construct a predictive nomogram for nosocomial infection.Methods:The clinical data of 1537 RC patients admitted to Sir Run Run Shaw Hospital between January 2021 and December 2022 were collected.Patients were assigned 1∶1 by propensity score matching(PSM)to the infection group(n=83)and control group(n=83)based on the occurrence of nosocomial infection.The dis-tribution and drug resistance of bacteria in patients with nosocomial infection were analyzed.Risk factors for postoperative nosocomial infection were identified by least absolute shrinkage and selection operator(LASSO)regression,and a predictive nomogram was con-structed using multivariate logistics regression.The predictive performance of the model was evaluated by receiver operating character-istic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results:A total of 93 strains of pathogens were isolated from the 83 infected patients,including 62 strains of Gram-negative bacteria(66.67%;predominantly Escherichia coli and Pseudomonas ae-ruginosa),25 strains of Gram-positive bacteria(26.88%;mainly Enterococcus faecalis),and 6 strains of fungi(6.45%;all Candida albicans).LASSO and multivariate logistics regression showed that smoking(odds ratio[OR]=3.97,95%CI=1.27-12.43),the dwelling time of drainage tube(OR=1.19,95%CI=1.08-1.30),difference in preoperative and postoperative neutrophil counts(OR=1.23,95%CI=1.01-1.49),and difference between preoperative and postoperative C-reactive protein levels(OR=1.05,95%CI=1.03-1.07)were inde-pendent risk factors for postoperative nosocomial infection in RC patients.The area under the ROC curve of the nomogram constructed based on the above factors was 0.933(95%CI=0.896-0.969).The calibration curve showed that the predicted risk was in good agree-ment with the actual observed risk of infection.In addition,DCA demonstrated that the nomogram has good clinical utility and high net clinical benefits in predicting nosocomial infection.Conclusion:The nomogram constructed in this study has a good predictive perfor-mance in postoperative nosocomial infection in RC patients.

Objective To investigate the prognostic value of peripheral blood neutrophil-lymphocyte ratio(NLR)and thioredoxin reductase(TrxR)in patients with ovarian cancer receiving immunotherapy.Methods A total of 109 patients with advanced ovarian cancer treated in the Tumor Hospital Affiliated to Nantong University from January 2021 to December 2021 were selected as the research objects.The levels of NLR and TrxR in peripheral blood before immunotherapy were detected,and the evaluation value of NLR and TrxR on short-term efficacy,progression-free survival(PFS)and overall survival(OS)in ovarian cancer pa-tients receiving immunotherapy was explored.Results The optimal cut-off values of TrxR and NLR were 4.97 U/mL and 2.49%,respectively.According to the optimal cut-off value of TrxR and NLR,the patients were divided into the high level of TrxR group(69 cases,≥4.97 U/mL)and the low level of TrxR group(40 cases,<4.97 U/mL),the high level of NLR group(72 cases,≥2.49%)and the low level of NLR group(37 cases,<2.49%).The objective response rate(ORR)of the high level of NLR group was lower than that of the low level NLR group(P<0.05),and the disease progression rate(DPR)was higher than that of the low NLR group(P<0.05).The high level of TrxR group had a significantly lower ORR and a significantly higher DPR than the low level of TrxR group(P<0.05).The median PFS and OS of the high level of NLR group were 15.0 months and 16.0 months,respectively.The median PFS and OS of the low level of NLR group were 19.0 months and 21.0 months,respectively.The median PFS and OS of the high level of TrxR group were 15.0 months and 17.0 months,respectively.The median PFS was 18.0 months and the median OS was 21.0 months in the low level of TrxR group.NLR and TrxR were the influencing factors of PFS and OS in pa-tients with ovarian cancer immunotherapy(P<0.05).Conclusion The levels of NLR and TrxR in peripheral blood can be used as important prognostic indicators for advanced ovarian cancer patients receiving immuno-therapy.The lower the levels of NLR and TrxR,the better the prognosis of ovarian cancer patients.

Objective To investigate the inhibitory effect of MKK6(E)fusion protein on the growth of o-varian cancer graft tumors in nude mice and its possible mechanism.Methods A subcutaneous transplantation tumor model in nude mice was constructed using subcutaneous injection of human ovarian cancer HO8910PM cells,which were divided into model group,paclitaxel(positive control,3 mg/mL)group,MKK6(E)fusion protein(1.2 mmol/L)group and MKK6(E)fusion protein+SB202190(p38 agonist,10 μmol/L)group by numerical randomization table,each with 6 animals.The drug was administered continuously in the tail vein for 21 d,once every 3 d.At the end of the administration,the tumor was exfoliated and the tumor volume,mass and tumor inhibition rate were calculated.Serum carbohydrate antigen(CA)125 level was detected by enzyme linked immunosorbent assay(ELISA),histopathology of the tumor was detected by HE staining,and apoptosis of the tumor cells was detected by TUNEL staining.In addition,expression of Fibronectin,matrix metallo-peptidase(MMP)2,and MMP9 were detected by immunohistochemistry,apoptosis and the p38/ATF-2 pathway-related proteins were detected by Western blot.Results Compared with the model group,the tumor volume,mass and serum CA125 level of nude mice in the paclitaxel group and the MKK6(E)fusion protein group were reduced,the tumor suppression rate and the apoptosis rate of cancer cells were increased,the volume of cancer cells in the transplanted tumor tissue was reduced,the nucleus was lightly stained,the di-viding heterogeneity was reduced compared with that of the model group,and the large area of lamellar nec-rotic zone and apoptotic cells were seen,and the expression of Fibronectin,MMP2 and MMP9 was reduced.Bax and Cleaved caspase 3 expression was up-regulated,and Bcl-2 expression and phosphorylated p38(p-p38)/p38 and p-ATF-2/ATF-2 were down-regulated(P＜0.05).Compared with the MKK6(E)fusion pro-tein group,nude mice in the MKK6(E)fusion protein+SB202190 group showed increased tumor volume,mass and serum CA125 levels,decreased tumor suppression and cancer cell apoptosis,better cancer cell status,decreased necrotic areas,increased expression of Fibronectin,MMP2 and MMP9,and down-regulated Bax and Cleaved caspase 3 expression was down-regulated,and Bcl-2 expression and p-p38/p38 and p-ATF-2/ATF-2 were up-regulated(P＜0.05).While p-ERK/ERK and p-JNK/JNK were compared among the 4 groups,the difference was not statistically significant(P＞0.05).Conclusion MKK6(E)fusion protein inhibits the growth of ovarian cancer subcutaneous graft tumors,and its mechanism may be related to the inhibition of p38/ATF-2 signa-ling pathway activation.

Objective To detect the expression of cytochrome c oxidase assembly factor 6(COA6)in breast cancer,study its clinical significance,and analyze the effect of COA6 on immune infiltration in breast cancer.Methods Differential genes were screened by the whole transcriptome sequencing and the expression of COA6 was explored with TCGA(The Cancer Genome Atlas Program)database.The tissues of 125 breast cancer and adjacent tissues were stained by immunohistochemistry to detect COA6 protein expression and analyze the correlation with clinical features.The COA6 mRNA and protein expression in breast cancer cells and tissues were determined by qRT-PCR and Western blot,respectively.The TIMER(Tumor Immune Estimation Resource)database was used to analyze the correlation between high COA6 gene expression and immune cell infiltration.Results The positive expression rate of COA6 in breast cancer tissues was 88％(110/125),which was higher than that of paracarinoma tissues(7.2％,9/125)(P＜0.05)and was positively correlated with tumor size and histological grade.In fresh breast cancer tissues,COA6 protein expression was significantly higher than that in adjacent tissues.Both COA6 mRNA and protein expression were significantly increased in the breast cancer cell lines.COA6 was positively cor-related with the infiltration of helper T cells,NK cells,CD8+T cells,M1 type macrophages,regulatory T cells,dendritic cells,and memory CD4+T cells in the tumor microenvironment.Conclusions The expression level of COA6 is increased in breast cancer and is positively correlated with tumor immune infiltration,which provides a po-tential therapeutic target for breast cancer treatment.

Objective To analyze the risk factors for catheter-related thrombosis(CRT)in the upper arm infusion port(UAP)and to construct a machine-learning prediction model.Methods A total of 6028 patients,who received UAP implantation at Shanghai Renji Hospital of China from February 2014 to February 2023,were enrolled in this study.The patients were divided into training set(n=4 219)and validation set(n=1 809).Six machine-learning prediction models,including Least Absolute Shrinkage and Selection Operator(LASSO)regression,random forest,decision tree,neural network,XGBoost and logistic,were constructed,and the model having best performance was selected as the optimal model.SHapely Additive exPlanations(SHAP)analysis was used to explain the neural network model,and DALEXtra package was used to explain the continuous variables.Results The neural network model was chosen as the final model.The variables,in order of the degree of importance from high to low,included sex,the diameter of catheter,catheter tip confirmation method,the length of catheter,inpatient or outpatient status,history of central venous catheter implantation,the length of subcutaneous tunnel,age,body mass index(BMI),primary tip displacement,and left or right venous approach.The learning curve,i.e.the area under curve(AUC)of the receiver operating characteristic(ROC)curve,for the training set was＞0.6,and the Delong testing and Bootstrap Methods Test showed that the neural network model performed well(P＜0.05).The Kolmogorov-Smirnov plot(KS plot)value was 0.313 5,indicating that the model had the good ability of discrimination.The clinical impact curve(CIC)assessment revealed that the model had good clinical value.Conclusion The machine-learning prediction model of upper arm infusion port with CRT has been successfully constructed.For minimizing the risk of CRT,it is recommended to prioritize the use of 5 F diameter catheters,adopt left-sided venous approach and positioning the tip of the catheter based on anatomical measurements,besides,the catheter length should be not shorter than 36.56 cm,and the subcutaneous tunnel length should not be less than 5 cm.The basic features associated with higher CRT risk include age of 50-65 years,BMI being between 18.69 kg/m2 and 20.81 kg/m2 or between 23.68 kg/m2 and 23.94 kg/m2 and male.

We collected the positive serum of Echinococcus granulosus infection in sheep,an inter-mediate host with strong immune response,and used healthy serum as negative control,purified the serum and target protein to capture and enrich the corresponding antigen by immunoprecipita-tion,and obtained target protein-antibody-target protein complex.Mass spectrometry strategies were combined to screen and identify specific antigens associated with Echinococcus granulosus,and the proteins with the highest peptide coverage were analyzed bioinformatically using online prediction software.The results showed that 133 Echinococcus granulosus related proteins were i-dentified by IP-MS.Among them,one protein with peptide coverage≥70％was actin Ⅱ,and three proteins with peptide coverage between 30％to 40％were Ton B box domain containing protein,NADH dehydrogenase(ubiquinone)1 α-subcomplex 2(NADH dehydrogenase[ubiquinone])and lactic dehydrogenase.There were six proteins with 20％to 30％peptide coverage,namely,spli-cing factor 3B subunit 5,tumor protein D52,expressed conserved protein,NADH dehydrogenase(ubiquinone)1 alpha subcomplex 7,inosine-5'-monophosphate dehydrogenase,and aldo keto re-ductase family 1 member B4.Bioinformatics analysis revealed that actin protein has no signal pep-tide,it is probably a non-secretory protein and is subcellularly localized to the cytoskeleton,six op-timal potential antigenic epitopes are present,and the secondary and tertiary structures are consist-ently dominated by α-helices and irregular convolutions.The results indicate that immunoprecipita-tion-mass spectrometry is a high-throughput,simple,rapid and effective method for screening and identifying fine-grained Echinococcus granulosus antigens,which can provide a basis for screening specific molecules for serodiagnostic markers in intermediate host sheep and for the development of novel diagnostic techniques for hydatid diseases.

We collected the positive serum of Echinococcus granulosus infection in sheep,an inter-mediate host with strong immune response,and used healthy serum as negative control,purified the serum and target protein to capture and enrich the corresponding antigen by immunoprecipita-tion,and obtained target protein-antibody-target protein complex.Mass spectrometry strategies were combined to screen and identify specific antigens associated with Echinococcus granulosus,and the proteins with the highest peptide coverage were analyzed bioinformatically using online prediction software.The results showed that 133 Echinococcus granulosus related proteins were i-dentified by IP-MS.Among them,one protein with peptide coverage≥70％was actin Ⅱ,and three proteins with peptide coverage between 30％to 40％were Ton B box domain containing protein,NADH dehydrogenase(ubiquinone)1 α-subcomplex 2(NADH dehydrogenase[ubiquinone])and lactic dehydrogenase.There were six proteins with 20％to 30％peptide coverage,namely,spli-cing factor 3B subunit 5,tumor protein D52,expressed conserved protein,NADH dehydrogenase(ubiquinone)1 alpha subcomplex 7,inosine-5'-monophosphate dehydrogenase,and aldo keto re-ductase family 1 member B4.Bioinformatics analysis revealed that actin protein has no signal pep-tide,it is probably a non-secretory protein and is subcellularly localized to the cytoskeleton,six op-timal potential antigenic epitopes are present,and the secondary and tertiary structures are consist-ently dominated by α-helices and irregular convolutions.The results indicate that immunoprecipita-tion-mass spectrometry is a high-throughput,simple,rapid and effective method for screening and identifying fine-grained Echinococcus granulosus antigens,which can provide a basis for screening specific molecules for serodiagnostic markers in intermediate host sheep and for the development of novel diagnostic techniques for hydatid diseases.

Objective:To investigate the expression characteristics and clinical significance of FOXC1 in colon cancer,and decipher its mo-lecular mechanism in regulating tumor cell proliferation and apoptosis.Methods:The GEPIA database was employed to analyze the expres-sion of FOXC1 and its correlation with prognosis in colon cancer.Differential expression of FOXC1 was detected by qRT-PCR and Western blot in colon cancer cells(HCT116 and SW620)and normal colon epithelial cells(NCM460),and stable FOXC1-knockdown(sh-FOXC1)cell lines were established.Western blot,flow cytometry,CCK-8,and plate colony formation assays were performed to analyze the effects of FOXC1 knockdown on cell proliferation,cell cycle,and apoptosis.Furthermore,the downstream signaling pathway was verified using Rap1 overexpression rescue experiments.Results:FOXC1 mRNA expression was significantly higher in colon cancer tissues than in normal tissues(P<0.001).FOXC1 overexpression was nearing significance in relation to tumor staging(P=0.053),and patients with high FOXC1 expression had a shorter overall survival(Log-rank P=0.013).After FOXC1 knockdown,the expression of CyclinD1 and Bcl-2 decreased,whereas the ex-pression of Bax increased(P<0.01).The proportion of cells in the G0/G1 phase increased,while the proportion of cells in the S phase de-creased(P<0.001),and the cell proliferation activity and number of colonies formed decreased(P<0.001).Mechanistic studies demonstrated that after FOXC1 knockdown,Rap1 expression was reduced,while the expression of Rap1GAP increased(P<0.05).After restoration of Rap1 expression in FOXC1-knockdown cells,the downregulation of CyclinD1 and Bcl-2 expression and the increase in Bax expression were re-versed(P<0.05),the S phase ratio was increased(P<0.05),and cell proliferation activity and colony formation abilities were also re-scued.Conclusion:FOXC1 promotes colon cancer progression by facilitating Rap1 expression and downregulating Rap1GAP.Targeted inter-vention of the FOXC1-Rap1 signaling axis may emerge as a potential therapeutic strategy.