Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective: To analyze the structural changes in whole blood and apheresis platelet donations in Chinese Society of Blood Transfusion (CSBT) sentinel units from 2021 to 2025, and to provide evidence for donor recruitment and blood service management. Methods: Aggregated data reported by sentinel sites were collected and stratified according to six indicators: age, sex, donation history, donation volume, donation site, and organization mode. Pearson χ test, Cramer′V coefficient, Cochran-Armitage trend test and simple linear regression were adopted for analysis. Results: A total of 16 256 973 whole blood donations and 1 576 546 apheresis platelet donations were included. Among whole-blood donations, the proportion of donors aged 18-22 years decreased from 27.30% to 10.60%. The proportion of male donors increased from 58.81% to 63.13%; the proportion of people aged 30 and above increased from 58.40% to 75.30%; the proportion of fixed locations rose from 28.37% to 36.57%; the proportion of social groups increased from 21.69% to 39.69%. The 400-mL donations decreased from 62.12% to 53.46%, while individually initiated voluntary donations remained above 50%. Apheresis platelet donations were predominantly from males, individuals aged 30-39 years, and repeat donors; 2-treatment-unit apheresis platelet donations increased from 67.19% to 74.93%, and individually initiated donations accounted for 92.97%-96.02%. Statistically significant overall annual compositional differences were observed for all six indicators (all P<0.001), whereas linear trends for some sub-categories were not statistically significant. Conclusion: In the participating CSBT sentinel units, among whole blood donations, the proportions of donors aged 18-22 years, university-organized group donations, and donations at blood mobiles decreased, whereas the proportions of organizational group donations and donations at fixed venues increased. The apheresis platelet donation cohort is relatively mature and is evolving toward a high-efficiency donation model. Individual voluntary donation remains the primary organization mode for both donation types. Strategies such as youth donor recruitment, optimized layout of fixed donation sites, and retention of repeat donors should be strengthened to improve the resilience of blood supply.

Objective: Data on syncopal donation-related vasovagal reaction (DRVR) collected from 74 blood centers between 2020 and 2023 was statistically analyzed to provide a reference for developing preventive strategies against syncopal DRVR. Methods: Data on blood donation adverse reactions and basic information of donors from 2020 to 2023 were collected through the information management system at monitoring sentinel sites. Statistical analysis was performed on the following aspects of syncopal DRVR: characteristics of donors who experienced syncope, reported incidence, triggers, duration, presence and occurrence time of syncope-related trauma, clinical management including outpatient and inpatient treatment, and severity grading. Results: From 2020 to 2023, 45 966 donation-related adverse reactions were recorded. Of these, 1 665 (3.72%) cases were syncopal DRVR. The incidence of syncopal DRVR decreased with age, being the highest in the 18-22 age group. Incidence was significantly higher in female donors than male donors, in first-time donors than repeat donors, and in university and individual donors than group donors (all P<0.05). There was no statistically significant difference among different blood donation locations (P>0.05). The top three triggers were tension, fatigue, and needle phobia or fear of blood. Among syncopal DRVR cases, 60.36% occurred during blood collection, 87.63% lasted for less than 60 seconds, and 5.05% were accompanied by trauma. Notably, 57.14% of these traumas occurred after donor had left the blood collection site. Syncope severity was graded based on required treatment: grade 1 (fully recovered without treatment, 95.50%); grade 2 (recovered after outpatient treatment, 4.02%); and grade 3 (recovered after inpatient treatment, 0.48%). Conclusion: By analyzing the data of syncopal DRVR cases, it is possible to provide a reference for formulating blood donor safety policies.

Objective:We aimed to develop a nomogram in corporating multidetector computed tomography(MDCT)imaging features and clinicopathological indicators for the preoperative prediction of axillary lymph node metastasis(ALNM)in patients with triple-negative breast cancer(TNBC).Methods:We retrospectively analyzed data from 265 female patients with pathologically confirmed TNBC treated at Harbin Medical University Cancer Hospital between November 2020 and October 2024.Patients were randomly assigned into a training cohort(n=161)and a validation cohort(n=104)in a 6:4 ratio.Feature selection was performed using least absolute shrinkage and selection operator(LASSO)regression with 10-fold cross-validation.Independent predictors of ALNM were identified by multivariate Logistic regression analysis,and a nomogram was constructed accordingly.Model performance was assessed using receiver operating characteristic(ROC)curves,calib-ration plots,and decision curve analysis(DCA).Results:Three independent predictors of ALNM were identified:clinical N-stage(odds ratio[OR]=6.789;95%confidence interval[CI]:2.203-22.20;P=0.001),short-axis diameter of lymph nodes on CT(OR=1.686;95%CI:1.349-2.257;P<0.001),and cortical thickness(OR=6.296;95%CI:2.170-19.310;P=0.001).The nomogram showed strong discrimination,with areas under the ROC curve(AUC)of 0.918(95%CI:0.860-0.977)in the training cohort and 0.885(95%CI:0.809-0.962)in the validation cohort.Calibration was confirmed by Hosmer-Lemeshow tests(P=0.609 and P=0.694 for training and validation cohorts,respectively).DCA demon-strated clinical utility across probability thresholds of 0.02-0.96 and 0.03-0.87 in the training and validation cohorts,respectively.Conclu-sions:This nomogram,integrating MDCT imaging features and clinical indicators,provides a practical tool for individualized preoperative risk assessment and may aid clinical decision-making in patients with TNBC.

Objective:To explore the clinicopathologic features differences between tall cell variant of papillary thyroid cancer (TCV-PTC) and PTC with tall cell features (PTC-TCF) and the factors influencing efficacy of 131I therapy in patients with TCV-PTC and PTC-TCF. Methods:A retrospective analysis was conducted on 84 patients (28 males, 56 females, age 43.5(35.0, 55.0) years) with pathologically confirmed TCV-PTC or PTC-TCF and who were treated with 131I therapy from January 2018 to June 2023 in the Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University. The patients were divided into structural incomplete response (SIR) group and non-SIR group according to 131I treatment response. Data differences were analyzed by Wilcoxon rank sum test, Fisher exact test, or Mann-Whitney U test. Variables with P<0.1 were enrolled in logistic multivariate regression analysis. The ROC curve was used to obtain the cut-off value of stimulated thyroglobulin (sTg). Results:A total of 37 patients with non-SIR and 6 patients with SIR were found in TCV-PTC group ( n=43), and 33 non-SIR and 8 SIR cases were found in PTC-TCF group ( n=41). Univariate analysis revealed that sTg differed significantly between non-SIR patients and SIR patients in TCV-PTC group ( Z=-2.81, P=0.003), while no significant differences observed for sex, age, multifocality, capsular invasion, T stage, N stage, B-Raf proto-oncogene, serine/threonine-protein kinase (BRAF) V600E mutation, initial recurrence risk, number of metastatic lymph nodes, maximum tumor diameter ( Z values: from -0.74 to -0.11, all P>0.05). In TCV-PTC group, sTg also differed significantly between non-SIR patients and SIR patients ( Z=-4.40, P<0.001), while the other clinical factors above and the proportion of tall cells showed no significant difference ( Z values: from -1.90 to -0.22, all P>0.05). The logistic regression analysis confirmed sTg as an independent risk factor of SIR in both TCV-PTC group (odds ratio ( OR) = 25.156, 95% CI: 2.245-281.812, P=0.009) and PTC-TCF group ( OR=19.214, 95% CI: 2.537-145.502, P=0.004). The ROC curve indicated that the cut-off value of sTg for predicting SIR was 20.75μg/L in TCV-PTC group and 18.55μg/L in PTC-TCF group. Conclusions:sTg is the independent risk factor for predicting the poor prognosis of patients with TCV-PTC (sTg≥20.75μg/L) and PTC-TCF (sTg≥18.55μg/L). However, other clinical characteristics show no statistical difference between TCV-PTC group and PTC-TCF group, suggesting that the invasiveness of PTC-TCF may not be lower than that of TCV-PTC, which close attention should be paid to in clinical practice.

OBJECTIVE To investigate the deglycosylation metabolism of dioscin in vivo and the changes of its anti-tumor activi-ty of its deglycosylated metabolites.METHODS An LC-MS/MS analysis method for simultaneous determination of dioscin and its deglycosylation metabolites was established to study the cumulative excretion amount of dioscin and its deglycosylated metabolites in rat feces after oral administration.To mimic its deglycosylation metabolism,HPLC method was applied to investigate the time-dependent changes in the prototype components and metabolites of dioscin after incubation in artificial gastric juice.Solid-phase extraction tech-nology was employed to isolate the product of dioscin following hydrolysis by artificial gastric juice.The cytotoxic effects of this product on human colon cancer cells HCT-116 were assessed using the CCK-8 assay across different hydrolysis time periods.Concurrently,the enzymatic activities of caspase-3 and caspase-9,along with the expression levels of cytochrome C,were measured to elucidate the impact of dioscin post-hydrolysis on the cytotoxicity against HCT-116 cells.RESULTS Dioscin and its series of deglycosylated me-tabolites were detected in rat feces,revealing no significant differences in the cumulative excretion amounts of Polyphyllin Ⅴ and Pro-genin Ⅱ.Dioscin was shown to generate a range of deglycosylated metabolites in artificial gastric juice.Furthermore,dioscin and its deglycosylated metabolites inhibited the proliferation of HCT-116 cells,induced morphological changes,and increased the enzymatic activities of caspase-3 and caspase-9,as well as cytochrome C expression.However,it was observed that the antitumor activity of the deglycosylated metabolites diminished with prolonged hydrolysis time.CONCLUSION The deglycosylation metabolism of dioscin sig-nificantly attenuates its inhibitory effect on the proliferation of HCT-116 cells.Suppressing the acid-mediated or gut microbiota-medi-ated deglycosylation metabolism may be a promising strategy to preserve its antitumor activity.

OBJECTIVE To investigate the deglycosylation metabolism of dioscin in vivo and the changes of its anti-tumor activi-ty of its deglycosylated metabolites.METHODS An LC-MS/MS analysis method for simultaneous determination of dioscin and its deglycosylation metabolites was established to study the cumulative excretion amount of dioscin and its deglycosylated metabolites in rat feces after oral administration.To mimic its deglycosylation metabolism,HPLC method was applied to investigate the time-dependent changes in the prototype components and metabolites of dioscin after incubation in artificial gastric juice.Solid-phase extraction tech-nology was employed to isolate the product of dioscin following hydrolysis by artificial gastric juice.The cytotoxic effects of this product on human colon cancer cells HCT-116 were assessed using the CCK-8 assay across different hydrolysis time periods.Concurrently,the enzymatic activities of caspase-3 and caspase-9,along with the expression levels of cytochrome C,were measured to elucidate the impact of dioscin post-hydrolysis on the cytotoxicity against HCT-116 cells.RESULTS Dioscin and its series of deglycosylated me-tabolites were detected in rat feces,revealing no significant differences in the cumulative excretion amounts of Polyphyllin Ⅴ and Pro-genin Ⅱ.Dioscin was shown to generate a range of deglycosylated metabolites in artificial gastric juice.Furthermore,dioscin and its deglycosylated metabolites inhibited the proliferation of HCT-116 cells,induced morphological changes,and increased the enzymatic activities of caspase-3 and caspase-9,as well as cytochrome C expression.However,it was observed that the antitumor activity of the deglycosylated metabolites diminished with prolonged hydrolysis time.CONCLUSION The deglycosylation metabolism of dioscin sig-nificantly attenuates its inhibitory effect on the proliferation of HCT-116 cells.Suppressing the acid-mediated or gut microbiota-medi-ated deglycosylation metabolism may be a promising strategy to preserve its antitumor activity.

Objective:We aimed to develop a nomogram in corporating multidetector computed tomography(MDCT)imaging features and clinicopathological indicators for the preoperative prediction of axillary lymph node metastasis(ALNM)in patients with triple-negative breast cancer(TNBC).Methods:We retrospectively analyzed data from 265 female patients with pathologically confirmed TNBC treated at Harbin Medical University Cancer Hospital between November 2020 and October 2024.Patients were randomly assigned into a training cohort(n=161)and a validation cohort(n=104)in a 6:4 ratio.Feature selection was performed using least absolute shrinkage and selection operator(LASSO)regression with 10-fold cross-validation.Independent predictors of ALNM were identified by multivariate Logistic regression analysis,and a nomogram was constructed accordingly.Model performance was assessed using receiver operating characteristic(ROC)curves,calib-ration plots,and decision curve analysis(DCA).Results:Three independent predictors of ALNM were identified:clinical N-stage(odds ratio[OR]=6.789;95%confidence interval[CI]:2.203-22.20;P=0.001),short-axis diameter of lymph nodes on CT(OR=1.686;95%CI:1.349-2.257;P<0.001),and cortical thickness(OR=6.296;95%CI:2.170-19.310;P=0.001).The nomogram showed strong discrimination,with areas under the ROC curve(AUC)of 0.918(95%CI:0.860-0.977)in the training cohort and 0.885(95%CI:0.809-0.962)in the validation cohort.Calibration was confirmed by Hosmer-Lemeshow tests(P=0.609 and P=0.694 for training and validation cohorts,respectively).DCA demon-strated clinical utility across probability thresholds of 0.02-0.96 and 0.03-0.87 in the training and validation cohorts,respectively.Conclu-sions:This nomogram,integrating MDCT imaging features and clinical indicators,provides a practical tool for individualized preoperative risk assessment and may aid clinical decision-making in patients with TNBC.

Objective:To explore the clinicopathologic features differences between tall cell variant of papillary thyroid cancer (TCV-PTC) and PTC with tall cell features (PTC-TCF) and the factors influencing efficacy of 131I therapy in patients with TCV-PTC and PTC-TCF. Methods:A retrospective analysis was conducted on 84 patients (28 males, 56 females, age 43.5(35.0, 55.0) years) with pathologically confirmed TCV-PTC or PTC-TCF and who were treated with 131I therapy from January 2018 to June 2023 in the Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University. The patients were divided into structural incomplete response (SIR) group and non-SIR group according to 131I treatment response. Data differences were analyzed by Wilcoxon rank sum test, Fisher exact test, or Mann-Whitney U test. Variables with P<0.1 were enrolled in logistic multivariate regression analysis. The ROC curve was used to obtain the cut-off value of stimulated thyroglobulin (sTg). Results:A total of 37 patients with non-SIR and 6 patients with SIR were found in TCV-PTC group ( n=43), and 33 non-SIR and 8 SIR cases were found in PTC-TCF group ( n=41). Univariate analysis revealed that sTg differed significantly between non-SIR patients and SIR patients in TCV-PTC group ( Z=-2.81, P=0.003), while no significant differences observed for sex, age, multifocality, capsular invasion, T stage, N stage, B-Raf proto-oncogene, serine/threonine-protein kinase (BRAF) V600E mutation, initial recurrence risk, number of metastatic lymph nodes, maximum tumor diameter ( Z values: from -0.74 to -0.11, all P>0.05). In TCV-PTC group, sTg also differed significantly between non-SIR patients and SIR patients ( Z=-4.40, P<0.001), while the other clinical factors above and the proportion of tall cells showed no significant difference ( Z values: from -1.90 to -0.22, all P>0.05). The logistic regression analysis confirmed sTg as an independent risk factor of SIR in both TCV-PTC group (odds ratio ( OR) = 25.156, 95% CI: 2.245-281.812, P=0.009) and PTC-TCF group ( OR=19.214, 95% CI: 2.537-145.502, P=0.004). The ROC curve indicated that the cut-off value of sTg for predicting SIR was 20.75μg/L in TCV-PTC group and 18.55μg/L in PTC-TCF group. Conclusions:sTg is the independent risk factor for predicting the poor prognosis of patients with TCV-PTC (sTg≥20.75μg/L) and PTC-TCF (sTg≥18.55μg/L). However, other clinical characteristics show no statistical difference between TCV-PTC group and PTC-TCF group, suggesting that the invasiveness of PTC-TCF may not be lower than that of TCV-PTC, which close attention should be paid to in clinical practice.

Objective To evaluate the relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM)based on imaging and clinical testing data.Methods Totally 600 T2DM patients who visited the First People's Hospital of Ziyang from March 2021 to December 2022 were included.The fundus photography and fundus fluorescein angiography were performed on all these patients and their age,gender,T2DM duration,cardiovascular diseases,cerebrovascular disease,hypertension,smoking history,drinking history,body mass in-dex,systolic blood pressure,diastolic blood pressure and other clinical data were collected.The levels of fasting blood glu-cose(FPG),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),low-density lipo-protein cholesterol(LDL-C),glycosylated hemoglobin(HbA1c),24 h urinary albumin(UAlb),urinary albumin to creati-nine ratio(ACR),serum creatinine(Scr)and blood urea nitrogen(BUN)were measured.Logistic regression was used to analyze the risk factors associated with DR.DR staging was performed according to fundus images,and the convolutional neural network(CNN)algorithm was used as an image analysis method to explore the correlation between DR and DN based on emission computed tomography(ECT)and clinical testing data.Results The average lesion area rates of DR and DN detected by the CNN in the non-DR,mild-non-proliferative DR(NPDR),moderate-NPDR,severe-NPDR and pro-liferative DR(PDR)groups were higher than those obtained by the traditional algorithm(TCM).As DR worsened,the Scr,BUN,24 h UAlb and ACR gradually increased.Besides,the incidence of DN in the non-DR,mild-NPDR,moderate-NPDR,severe-NPDR and PDR groups was 1.67％,8.83％,16.16％,22.16％and 30.83％,respectively.Logistic regression analysis showed that the duration of T2DM,smoking history,HbA1c,TC,TG,HDL-C,LDL-C,24 h UAlb,Scr,BUN,ACR and glomerular filtration rate(GFR)were independent risk factors for DR.Renal dynamic ECT analysis demonstrated that with the aggravation of DR,renal blood flow perfusion gradually decreased,resulting in diminished renal filtration.Conclusion The application of CCN in the early stage DR and DN image analysis of T2DM patients will improve the diag-nosis accuracy of DR and DN lesion area.The DN is worsening as the aggravation of DR.