Objective: To explore the value of contrast-enhanced computed tomography (CT) radiomics combined with machine learning algorithms in the preoperative prediction of perineural invasion (PNI) in oral squamous cell carcinoma (OSCC), aiming to provide evidence for assisting clinical treatment decision-making. Methods​: This study was approved by the Ethics Committee of the Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. A total of 250 OSCC patients confirmed by postoperative pathology were included, comprising 128 PNI-positive and 122 PNI-negative cases. The dataset was randomly divided into training (n=175), validation (n=38), and independent testing (n=37) sets in a ratio of 7:1.5:1.5. Regions of interest were delineated on preoperative images, and radiomic features were extracted. After dimensionality reduction and feature selection using methods like Least Absolute Shrinkage and Selection Operator (LASSO) regression, multiple machine learning models, including support vector machine (SVM), random forest, Light gradient boosting machine (LightGBM), and a Stacking ensemble model, were constructed. Model performance was evaluated using metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, calibration curves, and decision curve analysis (DCA). Model interpretability was analyzed using Shapley additive explanations (SHAP) and grouped permutation feature importance analysis. Results ​: ​ Among the 250 samples analyzed, the LightGBM model based on radiomics demonstrated the best performance on the independent test set, with an AUC of 0.781, outperforming models like SVM (AUC = 0.730) and Random Forest (AUC = 0.691), as well as clinical models (AUCs ranging 0.549-0.711). The LightGBM model showed good calibration (Brier score 0.198), and DCA indicated high clinical net benefit over a wide threshold probability range. Paired DeLong tests revealed no statistically significant differences in AUC between the ensemble (Stacking) model and the corresponding best-performing radiomics-based model. SHAP analysis and grouped permutation feature importance analysis further indicated that the primary discriminative information for the model came from radiomic texture features. Conclusion ​ The LightGBM model based on contrast-enhanced CT radiomics demonstrated good discriminative ability for preoperative prediction of PNI in OSCC. In the independent test set, it achieved the highest AUC. This model holds promise as a non-invasive auxiliary tool for preoperative risk assessment. Given the limited sample size of the independent test set, these results require further validation in larger cohorts and external datasets.

Objective To compare the safety and efficacy of curettage and their combination with uterine artery embolization(UAE)in the treatment of cesarean scar pregnancy(CSP)patients with a low score(≤4)in the ultrasound quantification scoring system.Methods Based on our inclusion and exclusion criteria of this randomized controlled study,the women with CSP who had an ultrasonic quantitative score≤4 and were treated in our department from May 2020 to August 2023 were enrolled,and then randomly divided into a curettage group(n=48)and a UAE combination group(n=47)in a ratio of 1∶1.General information,intraoperative conditions,and use of rescue measures within 3 months after operation were collected in the 2 groups of patients.All the patients were followed up until October 2024 to observe the pregnancy outcomes and determine the impact on the menstrual volume after the resumption of normal menstruation.Results The patients from the both groups completed the follow-up.Except for the maximum gestational sac diameter,there were no significant differences in other baseline data between the 2 groups,and the curettage group had notably more patients having a gestational sac diameter≤25 mm than the combination group[37(77.1%)vs 27(57.4%),P<0.05].No statistical differences were observed between the 2 groups in the intraoperative bleeding volume and use of rescue measures within 3 months after surgery.The combination group had obviously more patients with reduced menstrual volume after the resumption of normal menstruation than the dilation and curettage group[30(63.8%)vs 13(27.1%),P<0.001].There were no statistically differences in pregnancy outcomes and the number of days to resume menstruation between the 2 groups.Conclusion For CSP patients with a score of≤4 in the ultrasound quantification scoring system,curettage show no significant difference in therapeutic effectiveness,and even have better efficacy and safety when compared with curettage combined with UAE.

Objective To modify YC-1,an inhibitor of hypoxia-inducible factor-1α(HIF-1α)into nanoparticles and explore its effect on reversing chemoresistance of colorectal cancer cells.Methods Nano-inhibitor mPEG350-YC-1(MYC-1)was prepared by the carboxyl condensation reaction of the active functional group hydroxyl(-OH)in the YC-1 molecule with methoxy polyethylene glycol carboxylic acid,and was verified by 1H nuclear magnetic resonance(1H-NMR).Its morphology was analyzed by transmission electron microscope(TEM),and its particle size distribution was analyzed by dynamic light scattering(DLS).By interacting FITC-labeled MYC-1(FYC-1)with HCT15 cells,the uptake ability of FYC-1 by the cells was observed using laser confocal microscopy.The cytotoxicity of MYC-1 was measured with CCK-8 assay.The sensitization effect of MYC-1 on the chemotherapy drug 5-Fu was detected through toxicity tests of resistant HCT15 cells(resistant HCT15,R-HCT15)and live/dead cell staining.The mechanism of MYC-1 reversing drug resistance was determined with immunofluorescence staining of HIF-1α and western blotting.Finally,a subcutaneous transplanted tumor model of R-HCT15 cells was constructed.The tumor bearing mice were randomly divided into PBS,5-Fu,MYC-1,and MYF groups,with 3 mice in each group.The tumor volume and weight were observed after treatment in each group to evaluate the ability of MYC-1 to reverse 5-Fu resistance in colorectal cancer.Results The nano-inhibitor MYC-1 was successfully prepared.TEM and DLS showed that MYC-1 could self-assemble into nanoparticles with a diameter of approximately 19.96±2.97 nm in aqueous solution.FYC-1 was also successfully prepared.When FYC-1 was interacted with HCT15 cells,FYC-1 could be better taken up by the cells,indicating that the amphiphilic MYC-1 could be better endocytosed into the cells to exert its function.When MYC-1 and 5-Fu acted in combination in colon cancer R-HCT15 cells,the resistance index(RI)was decreased from 7.99 to 1.55,and the relative reversal rate(RRR)of RI was 80.6%.Live(green)/dead(red)cell staining revealed that MYC-1 increased the toxicity of 5-Fu to R-HCT15 cells.Immunofluorescence staining(P<0.01)and Western blotting indicated that MYC-1 effectively inhibited the intracellular expression of HIF-1α.The combined action of MYC-1 and 5-Fu on mice with R-HCT15 subcutaneous transplanted tumors had the best therapeutic effect when compared with PBS(P<0.001),5-Fu(P<0.01),and MYC-1(P<0.01).Immunofluorescence staining of HIF-1α in tumor tissues displayed that the expression of HIF-1α was decreased in the MYC-1 and MYF groups.HE staining showed that there was no obvious damage to the important organs in each treatment group.Conclusion Nano-inhibitor MYC-1 can reverse the drug resistance of colorectal cancer to 5-Fu chemotherapy by reducing the expression of HIF-1α protein in colorectal cancer cells,thereby effectively improving the therapeutic effect of 5-Fu.

The blue fluorescent carbon dots(TMCDs)and cyan fluorescent carbon dots(TMCDs-H2O)were synthesized fromm-phenylenediamine and tricarballylic acid through air-assisted melting polymerization and one-step hydrothermal method,respectively.Air purging could effectively inhibit the side reactions and reduce the derivative structures in the carbon dots product.The structure and morphology of these two materials were systematically characterized using liquid nuclear magnetic resonance spectroscopy(NMR),mass spectrometry(MS),and transmission electron microscopy.Compared to TMCDs-H2O((3.12±0.63)nm),TMCDs showed a smaller average particle size(approximately(1.85±0.02)nm).The NMR and MS analysis revealed that although the main structure of both types of carbon dots was similar,TMCDs exhibited a simpler structure with higher degree of polymerization.These results suggested that supramolecular interactions might introduce numerous small molecule derivatives into TMCDs-H2O particles,resulting in lower polymerization degree,multiple substructures,and larger particle size characteristics for this material.When employed as chemical sensors for metal ion detection,in the linear range of 1×10-5-5×10-4 mol/L,the detection limits of Fe3+by TMCDs and TMCDs-H2O were 3.3×10-6 mol/L and 3.8×10-6 mol/L,respectively.The experimental results demonstrated that the recoveries of CDs and inductively coupled plasma optical emission spectrometer(ICP-OES)were similarity,whereas TMCDs displayed a considerable relative standard deviation.This study demonstrated that endogenously derived structures in CDs could enhance the performance of metal ion sensing.

A matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)method was developed for simultaneous analysis of 10 kinds of aphrodisiac drugs,including sildenafil,acetildenafil,nor-acetildenafil,homosildenafil,lodenafil carbonate,sildlenafil dimer impurity,vardenafil dimer,hydroxyacetildenafil,N-desmethylsildenafil and udenafil.By using different matrices(α-cyano-4-hydroxycinnamic acid(HCCA)and sinapic acid(SA)),the effects of solvents,amount of matrices,laser intensity and spotting methods on the peak strength and signal intensity of MALDI-TOF MS for the aphrodisiac drugs were investigated.As a result,SA was chosen as the matrix,and then dispersed in methanol-water(50∶50,V/V),and spotted by matrix firstly and sample secondly approach with the reflect linear positive mode and laser power of 60%.Under optimal conditions,the proposed MALDI-TOF MS method could obtain stable signal,high intensity and well-repeated mass spectrometric results.The results of method validation showed a linear range from 10 to 100 ng/mL,and the regression coefficients(r)were all above 0.985.The limits of detection(LOD)were 0.1-1.0 ng/mL,and the recoveries were in the range of 72.9%-109.9%for health wine,soft capsule and instant coffee samples,while the relative standard deviations(RSDs)ranged from 0.7%to 11.3%(n=3).The test results of 10 kinds of aphrodisiac drugs by MALDI-TOF MS were in accordance with the results of high-performance liquid chromatography-tandem mass spectrometry.This method exhibited high sensitivity,high accuracy,good anti-interference ability,low chemical solvents consumption and environmentally friendliness,and could be used to detect drugs without standards.The developed MALDI-TOF MS method could realize the non-target screening and detection of 10 kinds of illegally added aphrodisiac drugs in foods.

Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.

Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.

Objective To explore the value of the time to positivity(TTP)combined with inflammatory indicators for identifying coagulase-negative Staphylococcus(CoNS)bloodstream infection and contamination in tumor patients.Methods A retrospective analysis was performed on totally 368 tumor patients with blood culture-positive admitted to the hospital from September 2022 to April 2023,and 47 patients with blood cul-ture-positive CoNS and complete clinical data were selected as research objects.The patients were divided into CoNS infection group(24 cases)and CoNS contamination group(23 cases)according to the diagnostic criteria of bloodstream infection and in combination with the clinical manifestations and laboratory examination re-sults.In addition,5 tumor patients with blood culture Staphylococcus aureus positive admitted to the hospital during the same period were selected as the control group.The TTP,percentage of immature granulocytes(IG%),absolute value of immature granulocytes(IG#),white blood cell count(WBC),neutrophil percent-age(NE%),neutrophil-to-lymphocyte ratio(NLR),C-reactive protein(CRP)and procalcitonin(PCT)levels in all groups were compared.Results Among the 47 patient isolates of CoNS from blood cultures,Staphylo-coccus hominis was the most common,accounting for 42.55%.There were significant differences in TTP,NE%,NLR and CRP levels between CoNS infection group,CoNS contamination group and control group(P<0.05).The TTP in CoNS infection group was shorter than that in CoNS contamination group,and the levels of NE%,NLR,CRP and PCT were higher than those in CoNS contamination group,with statistical sig-nificance(P<0.05).TTP combined with NLR,CRP and PCT had the largest area under the curve,which was 0.971(P<0.000 1),with a sensitivity of 91.67%,specificity of 95.65%,likelihood ratio of 21.08,positive predictive value of 91.67%,negative predictive value of 95.65%,and an accuracy of 93.62%.Conclusion TTP combined with NLR,CRP and PCT have important clinical value in the differential diagnosis of CoNS blood-stream infection and contamination in tumor patients.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.