The tetraspanins are closely associated with the development and therapeutic prognosis of colorectal tumors. These proteins play a role in cell proliferation, metastasis, and invasion, regulate apoptosis and autophagy of colorectal tumor cells. affect immune escape by releasing exosomes, intervening the epithelial-mesenchymal transition process, and altering the tumor microenvironment, and enhance tumor stemness through specific pathways. This paper reviews the mechanisms and current research regarding the status of tetraspanins in colorectal cancer, aiming to improve early diagnosis and providing valuable insights for treatment strategies.

Objective:To investigate the molecular epidemiological characteristics of norovirus (NoV) among infectious diarrhea patients in Linyi from 2021 to 2023, and provide the scientific evidence for norovirus control and prevention.Methods:The epidemiological information and fecal samples of patients with infectious diarrhea in Linyi from 2021 to 2023 were collected and detected by real-time fluorescent quantitative PCR. The RdRp and capsid gene VP1 region of norovirus-positive specimens were amplified and sequenced used to analyze their genotype, phylogeny and homology.Results:Among the 2 311specimens, 123 (5.32%) were positive of NoV, with GI/GII group infection accounted for 17.07% (21/123) and 77.24% (95/123), respectively, GI/GII group mixed infection accounted for 5.69% (7/123). The detection rate of <1 year age group was the highest (8.86%), followed by the 1-3 years group (7.11%, 30/422) and the over 60 years group (5.29%, 23/123). The highest NoV detection rate was 7.96% (45/565) in the urban area, and the most abundant genotypes were found in the northern mountainous area. Sequence analysis showed that 61 identified NoV strains could be divided into 12 genotypes, with 4 NoV GI and 8 NoV GII. The dominant genotype differed during the 3 years, with GII.4 Sydney [P16] in 2021, GII.4 Sydney [P31] in 2022, and GII.2[P16] in 2023.Conclusions:NoV GII group was the main NoV infection in Linyi from 2021-2023 and genotypes were diverse. Children under 3 years of age and elderly people over 60 years old as susceptible groups should be given special protection. In addition, the monitoring of NoV genotype diversification should be strengthened in northern mountainous areas.

In this study, we employed a combination of genome mining and heteronuclear single quantum coherence (HSQC)-based small molecule accurate recognition technology (SMART) technology to search for fernane-type triterpenoids. Initially, potential endophytic fungi were identified through genome mining. Subsequently, fine fractions containing various fernane-type triterpenoids were selected using HSQC data collection and SMART prediction. These triterpenoids were then obtained through targeted isolation and identification. Finally, their antifungal activity was evaluated. As a result, three fernane-type triterpenoids, including two novel compounds, along with two new sesquiterpenes and four known compounds were isolated from one potential strain, Diaporthe discoidispora. Their structures were elucidated through analysis of high-resolution electrospray ionization mass spectrometry (HR-ESI-MS) and nuclear magnetic resonance (NMR) spectroscopic data. The absolute configurations were determined using single-crystal X-ray diffraction analysis and electron capture detector (ECD) analysis. Compound 3 exhibited moderate antifungal activity against Candida albicans CMCC 98001 and Aspergillus niger.
Triterpenes/isolation & purification* ; Antifungal Agents/isolation & purification* ; Molecular Structure ; Candida albicans/drug effects* ; Ascomycota/genetics* ; Magnetic Resonance Spectroscopy ; Aspergillus niger/drug effects* ; Genome, Fungal ; Microbial Sensitivity Tests

Objective To explore the effect of sugammadex on safety indicators such as body movement,choking,peak airway pressure during spinal surgery with motor evoked potential monitoring.Methods This study was a ret-rospective analysis of two randomized controlled trials.Patients undergoing selective thoracic and lumbar spinal sur-gery with intraoperative motor evoked potential monitoring were included.Rocuronium was continuously infused and the train-of-four stimulation count was maintained at 2.When motor evoked potential monitoring started,stop rocu-ronium infusion and 2 mg/kg of sugammadex was given.Indicators were compared between administration of sugam-madex and 5,10,20,30,60 minutes after administration like body movement,choking,peak airway pressure,allergic reaction,mean arterial pressure,heart rate,end expiratory pressure of CO2 and the train-of-four stimulation ratio(TOFr).Results A total of 120 patients were finally included in the analysis.Before administering sugammadex,TOFr was 0.2.At 5,10,20,30 and 60 minutes after administration,TOFr were 0.8,0.8,0.9,0.9,0.9 respectively.No patient experienced intraoperative body movement,choking,or allergy reaction.Compared with the time of sugamma-dex administration,heart rate was significantly reduced 5,10,20,30 and 60 minutes after administration(P＜0.05),there was no significant change in the remaining indicators.Conclusions Sugammadex can be safely used during spinal surgery with motor evoked potential monitoring.

Objective:A prognosis prediction model for pancreatic cancer was constructed based on multi-scale radiomics combined with deep learning, and the prediction effect of the model was evaluated.Methods:A retrospective analysis was conducted on the clinical data of 215 patients who underwent radical resection of pancreatic cancer at the First Affiliated Hospital of Naval Medical University from January 2017 to December 2017. Among them, 134 were male and 81 were female, with an age of (61.9±9.2) years. Patients were randomly divided into the training set ( n=151) and the test set ( n=64) in a ratio of 7: 3. Habitat features, peritumoral radiomics features, 3D radiomics features, and 2.5D deep learning features were extracted from preoperative CT images respectively. After feature screening, a survival prediction model was constructed using the CoxBoost machine learning algorithm that integrated the Boosting algorithm and the Cox proportional hazards model. The performance of the model was evaluated using the area under the time-dependent receiver operating characteristic curve and the consistency index. The clinical benefits of the model were evaluated using decision curve analysis. The survival curves were plotted using the Kaplan-Meier method, and the log-rank test was used for the comparison of survivals between groups. Results:The LASSO, random forest and extreme gradient boosting models were each used to screen out the top 10 most important features and take the union, ultimately obtaining 20 radiomics features for modeling. In the training set and test set, the consistency index of the CoxBoost model in predicting overall survival was 0.717 (95% CI: 0.669-0.765) and 0.688 (95% CI: 0.610-0.766), respectively, and the area under the curve for predicting overall survival at 1, 2, and 3 years after surgery was 0.830 (95% CI: 0.752-0.898), 0.753 (95% CI: 0.665-0.833), 0.828 (95% CI: 0.735-0.908) and 0.690 (95% CI: 0.549-0.824), 0.780 (95% CI: 0.649-0.887 and 0.793 (95% CI: 0.660-0.897), respectively. The area under the curve for predicting long-term survival after surgery (≥40 months) was above 0.8. Based on the optimal cutoff value of -0.19 for the predicted value of the CoxBoost model calculated by the R package " survminer", the patients were divided into high-risk (predicted value >-0.19) and low-risk (predicted value <-0.19) groups. In both the training set and the test set, the survival of patients in the low-risk group was better than that in the high-risk group (training set: χ2=39.01, P<0.001; test set: χ2=12.34, P<0.001). The median survival period of patients in the high-risk group was lower than that in the low-risk group (training set: 15.80 vs 34.07 months; test set: 16.87 vs 43.07; months). Decision curve analysis shows that patients obtain survival benefit when the threshold probability of the training set is greater than 0.25 and that of the test set is greater than 0.45. Conclusion:The CoxBoost model has a good predictive ability for the overall survival of pancreatic cancer patients after surgery and can effectively screen out patient subgroups that may significantly benefit from surgical treatment.

Objective:To investigate the impact of tumor origin (ventral pancreatic origin and dorsal pancreatic origin) on prognosis in patients with pancreatic head cancer.Methods:A retrospective analysis was performed on the clinical data of 150 patients with pancreatic head cancer who received surgical treatment at the First Affiliated Hospital of the Naval Medical University from October 2014 to December 2017. Among these patients, 92 were male and 58 were female, aged (61.2±8.8) years. The 150 patients were divided into two groups based on tumor origin: the ventral pancreatic cancer group ( n=72) and the dorsal pancreatic cancer group ( n=78). A comparative analysis of clinical, pathological, and imaging charac-teristics was conducted between the two groups. Univariate and multivariable Cox proportional hazards models were used to analyze the association between pancreatic head cancer origin and overall survival (OS). Results:Patients with pancreatic head carcinoma arising from the ventral and dorsal pancreas accounted for 48%(72/150) and 52%(78/150) of the study cohort, respectively. Pancreatic head carcinoma arising from the dorsal pancreas were more likely to show pathological features of pancreatic parenchymal atrophy [73.1%(57/78) vs. 47.2%(34/72), χ2=10.49, P=0.001] and pancreatitis [44.9%(35/78) vs. 29.2%(21/72), χ2=3.95, P=0.047]. In contrast, patients with pancreatic head carcinoma arising from the ventral pancreas was more frequently associated with contact with the superior mesenteric artery [25.0%(18/72) vs. 1.3%(1/78), χ2=19.04, P<0.001], perineural invasion [100%(72/72) vs. 88.5%(69/78), χ2=8.84, P=0.003], and positive surgical margins [15.3%(11/72) vs. 2.6%(2/78), χ2=7.65, P=0.006], with all differences statistically significant. The ventral pancreatic cancer group demonstrated cumulative survival rates of 33.2% and 0 at 1-year and 2-year postoperative intervals, respectively, while the dorsal pancreatic cancer group exhibited rates of 56.7% and 24.8% at the corresponding timepoints. Comparison of Kaplan-Meier survival curves between the two groups showed a statistically significant difference ( χ2=6.00, P=0.014). Multivariable Cox proportional hazards analysis identified dorsal pancreatic origin pancreatic head cancer as an independent predictor of increased mortality risk compared to ventral origin tumors ( HR=2.75, 95% CI: 1.52-4.98, P=0.001). Conclusion:The embryonic origin of pancreatic head cancer determines its clinical, pathological, and imaging heterogeneity, and pancreatic head cancer arising from the ventral pancreas demonstrates significantly worse prognostic outcomes compared to dorsal pancreatic origin.

Objective To identify risk factors for pathological upgrading after radical prostatectomy in patients with biopsy-confirmed International Society of Urological Pathology(ISUP)grade 1 prostate cancer and to develop a predictive nomogram.Methods A total of 256 patients with ISUP grade 1 prostate cancer diagnosed by biopsy and undergoing radical prostatectomy in The First Affiliated Hospital of Naval Medical University between Jan.2017 and May 2024 were retrospectively enrolled.Clinical,imaging,and biopsy data were collected.Independent predictors were identified using univariate and multivariate binary logistic regression,and a nomogram model was constructed.Model performance was evaluated using receiver operating characteristic curve,clinical impact curve,and decision curve analysis.The stability of the model was evaluated by Hosmer-Lemeshow test.Results Multivariate binary logistic regression analysis revealed that the number of positive puncture cores(odds ratio[OR]=1.80),prostate imaging and reporting data system(PI-RADS)score(OR=1.88),and prostate specific antigen density(PSAD)stage(OR=1.43)were independent predictors of pathological upgrading(all P＜0.01).The area under curve(AUC)value of the nomogram model based on the above 3 predictors was 0.82(95％confidence interval 0.77-0.87).Decision curve analysis demonstrated favourable clinical utility within a threshold probability range of 0.01-0.99.Clinical impact curve analysis showed that at a threshold probability of 0.40,the model could avoid 45 unnecessary interventions(12％reduction in false-positive rate)with a net clinical benefit of 0.46.The Hosmer-Lemeshow test indicated good model fit(P=0.45).Conclusion The constructed nomogram model can accurately predict the risk of pathological upgrading after radical prostatectomy in patients with ISUP grade 1 prostate cancer,providing a quantitative tool to support individualized decision-making for active surveillance.

Objective To explore the predictive value of fat attenuation index(FAI)and fibrous plaque index(FPI)for the prognosis of patients with acute coronary syndrome(ACS).Methods A retrospective cohort study was conducted on 334 ACS patients undergoing percutaneous coronary intervention(PCI)in the First Affiliated Hospital of Army Military Medical University and Yongchuan Hospital of Chongqing Medical University from March 2021 to July 2023.All patients received coronary computed tomography angiography(CCTA)to measure FAI and FPI.According to the occurrence of major adverse cardiovascular events(MACE)with 1 year of follow-up,they were divided into MACE group(n=108)and non-MACE group(n=226).The baseline data,CCTA data and results of laboratory tests were collected and compared between the 2 groups.Multivariate logistic regression analysis was used to analyze the relationship of FAI and FPI with the prognosis of ACS patients,and ROC curve was drawn to evaluate its predictive efficiency.Results Among the 334 ACS patients,108(32.34%)experienced MACE.When compared with the non-MACE group,the MACE group exhibited significantly larger proportions of diabetes(72.22%vs 31.86%)and left main coronary artery disease(18.52%vs 7.08%),but lower success rate of operation(79.63%vs 93.81%,P<0.05).Radiologic results showed that the proportion of severe stenosis(20.37%vs 10.62%),FAI(-80.12±6.41 HU vs-72.34±7.09 HU)and FPI(0.58±0.41 vs 0.26±0.12)were obviously increased in the MACE group than the non-MACE group(P<0.05).Laboratory tests indicated that there were statistical differences between the 2 groups in high-density lipoprotein-cholesterol(HDL-C,1.20±0.15 vs 1.09±0.16 mmol/L),miR-126(0.91±0.12 vs 0.96±0.15)and SST2(38.45±5.67 vs 34.30±4.89 ng/mL,P<0.05).Multivariate Logistic regression analysis revealed that FAI(OR=1.200,95%CI:1.136～1.268),FPI(OR=63.157,95%CI:14.126～282.374),moderate stenosis(OR=1.332,95%CI:1.024～1.859),severe stenosis(OR=1.480,95%CI:1.074～2.039),miR-126(OR=0.007,95%CI:0.001～0.077),and sST2(OR=1.192,95%CI:1.113～1.277)were independent predictors of MACE(P<0.05).ROC curve analysis displayed that stenosis degree(AUC=0.622,95%CI:0.561～0.683,P=0.001),FAI(AUC=0.790,95%CI:0.741～0.839,P=0.001)and FPI(AUC=0.700,95%CI:0.638～0.761,P=0.001),miR-126(AUC=0.646,95%CI:0.584～0.707,P=0.001),sST2(AUC=0.700,95%CI:0.638～0.761,P=0.001)had certain predictive values for ACS prognosis.Conclusion Coronary FAI and FPI can be used as independent prognostic indicators of ACS patients,and their numerical changes are closely related to plaque stability and inflammatory state.

Objective:To compare and analyze the differences in positioning errors and placement outside the target area between two different image-guided systems(Halcyon and Synergy)in radiotherapy for cervical cancer.Methods:The data of 40 patients with cervical cancer who received treatment in Dezhou People's Hospital from March 2023 to June 2023 were retrospectively selected.Each patient was treated respectively with Halcyon linear accelerator and Synergy linear accelerator,with 20 cases for each treatment method.All patients underwent cone beam computed tomography(CBCT)at kV level to conduct image scanning before radiotherapy,and the obtained CBCT images were matched with the positioned CT images by online.The registration results of left and right(x),head and foot(y)and front and back(z)of three translation direction,and pitch(Rx),rotation(Ry)and deflection(Rz)directions of rotation direction were respectively obtained.The margin of planning target volume(MPTV)was calculated according to positioning expansion formula.The differences of positioning errors and target area expansion between Halcyon and Synergy image-guided systems were compared and analyzed.Results:Halcyon and Synergy image-guided systems obtained respectively 479 and 447 sets of CBCT images.The translational errors of Halcyon image-guided system on x,y,and z directions were respectively(-0.03±0.21),(0.12±0.63)and(0.02±0.15)cm,and the rotational errors of that on Rx,Ry and Rz directions were respectively(0.38±1.26)°,(-0.40±1.02)°,and(0.07±1.07)°.The translational errors of Synergy image-guided system were respectively(-0.07±0.18),(0.08±0.49)and(0.11±0.22)cm on the three directions,and the rotational errors of that were respectively(0.28±1.29)°,(-0.29±1.29)° and(-0.16±1.20)°.The translational error values on the y direction of both image-guided system were larger than that on x and z directions,and the absolute values of the range of translational errors of them were basically within 5 mm.There were no statistically significant difference in the positioning errors of rotation on Rx and Ry directions between Halcyon and Synergy image-guided systems(P＞0.05),while there was a statistically significant difference in the positioning error of rotation on Rz direction between them(t=-3.06,P＜0.05).The MPTV values of Halcyon image-guided system on x,y and z directions were respectively 0.4,1.4 and 0.3 cm,and those of Synergy image-guided system were respectively 0.4,0.9 and 0.5 cm.The expansion boundary of target area of Halcyon image-guided system on the y direction was larger than that of Synergy image-guided system,and that on other directions were all less or equal to 0.5 cm.Conclusion:The MPTV values of Halcyon and Synergy image-guided systems can meet clinical requirements in radiotherapy.The positioning errors and the tube current of the scan of Halcyon image-guided system were larger than those of Synergy image-guided system,but the scanning time and treatment time of that were significantly lower than those of Synergy image-guided system.Different treatment systems can be selected individually for patients according to their different conditions.

With the rapid increase in the ownership of MRI equipment in China,quality control,particularly in clinical usage aspects,has become critically important.For clinical quality control of MRI systems,it is essential to establish comprehensive workflow principles encompassing multiple elements such as personnel,equipment,standards,tools and methodologies.To advance the standardization and widespread adoption of clinical quality control for MRI equipment,efforts must focus on strengthening regulatory frameworks,advancing phantom research,development and enhancing professional expertise.Concurrently,continuous improvements in training programs and supervision mechanisms are necessary to ensure the effective implementation of MRI clinical quality control practices.Furthermore,in the era of digital healthcare,clinical quality assurance for MRI equipment is evolving toward automation and intelligent solutions,providing higher-quality and more efficient assurance for clinical applications.