Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Drug-target interaction (DTI) is fundamental to novel drug research and development (R &D), playing a critical role in elucidating drug mechanisms of action and improving the cost-effectiveness of drug discovery. Although China has seen rapid accumulation of drug-target resources in recent years, the industry still faces challenges such as a shortage of original targets and excessively high target concentration. The rapid advancement of artificial intelligence (AI) has provided an efficient technological pathway for DTI prediction, establishing it as a core tool for accelerating drug discovery. This paper systematically reviews the fundamental data support framework for DTI prediction tasks, elaborating in detail on three core data types— drug characterization, target characterization, and drug-target associations-as well as the classification and application boundaries of mainstream benchmark datasets tailored to different tasks within the field. On this basis, it comprehensively surveys the technological evolution of AI-driven DTI prediction, summarizing the core paradigms and technical advances of traditional machine learning and deep learning methods in a single-modality setting, alongside cutting-edge multimodal approaches that integrate two modalities (cross-subject/within-subject fusion) and three or more modalities for multidimensional information integration. Finally, this paper analyzes the current major challenges in data quality, model generalizability and interpretability, and real-world deployment, while also discussing future trends in standardized dataset construction, generative AI, and large-scale biomedical foundation models, aiming to provide a reference for both research and industrial applications in the AI-driven DTI prediction field.

By analyzing the current application of multi-modal data in the diagnosis of gastric "inflammation-cancer" transformation， this study explored the feasibility and strategies for constructing a disease-syndrome integrated diagnosis and treatment system. Based on traditional Chinese medicine （TCM） phenomics， we proposed utilizing multi-modal data from literature research， cross-sectional studies， and cohort follow-ups， combined with artificial intelligence technology， to establish a multi-dimensional diagnostic and treatment index system. This approach aims to uncover the complex pathogenesis and transformation patterns of gastric "inflammation-cancer" progression. Additionally， by dynamically collecting TCM four-diagnostic information and modern medical diagnostic information through a long-term follow-up system， we developed three major modules including information extraction， multi-modal phenotypic modeling， and information output， to make it enable real-world clinical data-driven long-term follow-up and treatment of chronic atrophic gastritis. This system can provide technical support for clinical diagnosis， treatment evaluation， and research， while also offering insights and methods for intelligent TCM diagnosis.

Objective:To prepare decellularized extracellular matrix (dECM)-gelatin methacryloyl (GelMA) composite hydrogels and to study their effects on hepatocyte proliferation.Methods:Hepatic dECM was prepared by elution, and GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels were prepared by pepsin solubilization. The morphology of normal liver and dECM liver was observed by eyes and scanning electron microscopy using hematoxylin-eosin, Sirius red and periodate-Schiff staining, respectively. The internal structure of the dECM-GelMA composite hydrogels was observed by scanning electron microscopy, and the pore diameter was measured. Liver HL-7702 cells were co-cultured with GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels, and the cell proliferation viability was determined by cell counting kit-8. The expression of proliferating cell nuclear antigen (PCNA), Wnt family protein 5a (Wnt5a), β-catenin, extracellular-regulated protein kinase 1/2 (ERK1/2) and phosphorylated ERK1/2 (p-ERK1/2) were detected by Western blotting. Comparisons were made using independent sample t-test or one-factor analysis of variance. Results:After decellularization, the hepatocyte morphology showed rounded depressions, and the extracellular matrix structure was intact. The GelMA hydrogel and 10%, 30% and 50% dECM-GelMA composite hydrogels showed inernally porous structures. The pore diameter increased from (3.06±1.35) μm in the GelMA hydrogel to (16.01±4.02) μm in the 50% dECM-GelMA composite hydrogel. On the 3rd, 5th and 7th day, the relative cell proliferation was higher in the 50% dECM-GelMA composite hydrogel group than that in the GelMA hydrogel group (1.89±0.04 vs 1.53±0.01, 9.36±0.04 vs 3.89±0.09, 7.15±0.27 vs 4.89±0.15, all P<0.05). The relative expression levels of PCNA, Wnt5a, β-catenin, and p-ERK1/2/ERK1/2 proteins in the 50% dECM-GelMA composite hydrogel group were higher than those in the GelMA hydrogel group (2.14±0.04 vs 1.00±0.03, 2.36±0.09 vs 1.00±0.08, 1.45±0.03 vs 1.00±0.04, 1.43±0.04 vs 1.00±0.01, all P<0.05). Conclusions:A dECM-GelMA composite hydrogel can be prepared, which may promote hepatocyte proliferation by upregulating the phosphorylation of ERK1/2 and activating Wnt/β-catenin signaling pathway.

Objective:To observe the effects of Qizhi Tongluo Prescription on renal interstitial fibrosis in rats with membranous nephropathy based on the Shh/Gli1 signaling pathway; To explore its intervention mechanism.Methods:Totally 60 male SD rats were divided into blank group ( n=10) and model group ( n=50) using random number table method. The model of membranous nephropathy was established according to the modified Border method. The successfully modeling rats were divided into model group, benazepril group and Qizhi Tongluo Prescription low-, medium- and high-dosage groups using random number table method. Benazepril group was gavaged with benazepril hydrochloride 10 mg/kg, Qizhi Tongluo Prescription low-, medium- and high-dosage groups were gavaged with Qizhi Tongluo Prescription solution 1.22 g/kg, 2.43 g/kg and 4.86 g/kg, and blank group and model group were gavaged with equal volume of normal saline, once a day, for 4 weeks. The 24-hour urine was collected to detect the 24-hour urinary protein quantification, and the blood was taken from the abdominal aorta to detect the levels of total cholesterol (TC), triglyceride(TG), and serum albumin(ALB); the pathological changes of rat kidney were observed by light microscope and transmission electron microscope; the protein expressions of sonic hedgehog factor (Shh), zinc finger protein 1 (Gli1) and α-smooth muscle actin (SMA) in renal tissues were detected by immunohistochemistry; the protein expressions of Shh, Gli1, α-SMA, TGF-β1, Collagen Ⅳ and plasminogen activator inhibitor-1 (PAl-1) in renal tissues were detected by Western blot. Results:Compared with the model group, the quantitative level of 24-hour urinary protein of rats in each administration group decreased ( P<0.05), serum TC and TG levels increased ( P<0.05), ALB level decreased ( P<0.05), the positive expressions of Shh, Gli1, α-SMA protein in renal tissue decreased ( P<0.05), and the protein expressions of Shh, Gli1, α-SMA, Collagen Ⅳ, TGF-β1, PAI-1 in renal tissue decreased ( P<0.05). Conclusion:Qizhi Tongluo Prescription can improve renal interstitial fibrosis in membranous nephropathy rats, possibly by inhibiting the Shh/Gli1 signaling pathway to delay renal interstitial fibrosis.

Aim To investigate the effect of adenovirus(ADV)-mediated Profurin(PF)expression on the plaque stability of ApoE-/-mice.Methods ApoE-/-mice were fed with high-fat diet for 8 weeks,and then treated with ADV-mediated PF intervention,followed by high-fat diet for 4 weeks.Aortic roots were isolated for atherosclerotic plaque area analysis and immunohistochemical analysis.Plasma phospholipid transfer protein(PLTP)activity was detec-ted by fluorescence donor essay,plasma total cholesterol(TC)and triglyceride(TG)were measured by enzyme assay kits,and fast protein liquid chromatography was used for lipoprotein profile analysis.Results Compared with the con-trol group,the plasma TC and TG levels,PLTP activity and circulating tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)levels in ADV-PF group were significantly decreased(P＜0.01).In the ADV-PF group,there was no significant change in atherosclerotic lesions on the inner surface of the full-length aorta,but the plaque area and lipid area in the aortic root were reduced(P＜0.01),the content of macrophages was significantly decreased(P＜0.01),and the smooth muscle cells and collagen area were not significantly different.The content of matrix metalloproteinase-9 in plaque was signifi-cantly decreased(P＜0.05).Conclusion Overexpression of PF can alleviate atherosclerosis and reduce the levels of circulating inflammatory factors to a certain extent,and effectively improve the plaque stability of ApoE-/-mice.

Objective:To investigate the pathogenetic characteristics and risk factors of nosocomial infection with multidrug-resistant organisms (MDRO) in trauma patients.Methods:A retrospective case-control study was conducted to analyze the clinical data of 103 trauma patients with nosocomial infection admitted to the 926th Hospital of the Joint Logistics Support Force of the PLA from January 2021 to December 2023, including 84 males and 19 females aged 12-80 years [50(39, 59)years]. The patients were divided into MDRO infection group ( n=36) and non-MDRO infection group ( n=67) according to whether nosocomial MDRO infection occurred. The pathogenetic characteristics of MDRO infection were observed. Univariate analysis was used to compare the two groups in terms of their demographic characteristics (gender, age), comorbidities (hypertension, diabetes mellitus), injuries [multiple injuries, open injuries, injury severity score (ISS)], laboratory indicators (hemoglobin, leukocytes) on admission, and other treatment data (emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, tracheotomy/tracheal intubation before diagnosis of infection). Logistic regression analysis was used to screen the independent risk factors for nosocomial MDRO infection in trauma patients. Results:A total of 52 MDRO strains were detected, including 17 Gram-positive (33%) and 35 Gram-negative (67%) ones, with the top 5 strains being Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae, and Staphylococcus epidermidis, respectively. The specimen source with the most detected MDRO strains was wound/incision secretion, followed by sputum. The results of the univariate analysis showed statistically significant differences in ISS and hemoglobin on admission between two groups ( P<0.05); however, no statistically significant differences were observed in gender, age, hypertension, diabetes mellitus, multiple injuries, open injuries, leukocytes on admission, emergency admission to the healthcare facility, transferal, length of hospital stay before diagnosis of infection, number of surgeries before diagnosis of infection, blood transfusion before diagnosis of infection, or tracheotomy/tracheal intubation before diagnosis of infection ( P>0.05). The results of the multivariate Logistic regression analysis showed that male gender ( OR=5.01, 95% CI 1.09, 23.08, P<0.05), age ( OR=1.03, 95% CI 1.00, 1.07, P<0.05), multiple injuries ( OR=5.28, 95% CI 1.04, 26.87, P<0.05), hemoglobin on admission ( OR=0.97, 95% CI 0.95, 0.99, P<0.05), and length of hospital stay before diagnosis of infection ( OR=1.06, 95% CI 1.01, 1.11, P<0.05) were significantly associated with the occurrence of nosocomial MDRO infection in trauma patients. Conclusions:In trauma patients, nosocomial MDRO infection pathogens were predominantly Gram-negative and the top five strains are Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae and Staphylococcus epidermidis, respectively. Male gender, age, multiple injuries, hemoglobin on admission and length of hospital stay before diagnosis of infection are independent risk factors for the occurrence of nosocomial MDRO infection in trauma patients.

Objective:To investigate the association between short-term blood pressure variability(BPV)and all-cause mortality in elderly patients with early sepsis-associated acute kidney injury(SA-AKI).Methods:A retrospective study was conducted on elderly patients with early SA-AKI from the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ)database between 2008 and 2022.All patients were divided into four groups(Q1-Q4)according to the quartiles of the 24-hour systolic blood pressure coefficient of variation(SBPCV): Q1(SBPCV<8.69%), Q2(8.69%≤SBPCV<10.84%), Q3(10.84%≤SBPCV<13.64%), Q4(SBPCV≥13.64%). Cox regression analysis was used to assess the association between SBPCV and one-year all-cause mortality.Restricted cubic spline regression was used for non-linear testing, and threshold effect analysis was further performed for non-linear relationships.Results:A total of 5 955 elderly patients were included in the study, and 2 746(46.11%)patients died within one year following the diagnosis of early SA-AKI.Patients in groups Q1 to Q4 had one-year all-cause mortality rates of 46.34%(690/1 489), 45.56%(678/1 488), 42.47%(632/1 488), and 50.07%(746/1 490), respectively.After adjusting for relevant confounding variables, Cox regression analysis showed that the Q1 group and Q4 group had a 26%( HR=1.26, 95% CI: 1.13-1.41, P<0.001)and 12%( HR=1.12, 95% CI: 1.01-1.24, P=0.047)higher risk of one-year mortality compared to the Q3 group, respectively.SBPCV and one-year all-cause mortality showed a U-shaped non-linear manner( P for nonlinear<0.001). Threshold effect analysis indicated that when SBPCV<13.07%, each standard deviation increase in SBPCV was associated with a 15% reduction in mortality risk( HR=0.85, 95% CI: 0.78-0.92, P<0.001); conversely, when SBPCV>13.07%, each standard deviation increase in SBPCV was associated with an 11% increase in mortality risk( HR=1.11, 95% CI: 1.03-1.21, P=0.011). Conclusions:Short-term BPV may be associated with long-term all-cause mortality in elderly patients with early SA-AKI in a U-shaped manner.However, these findings require further confirmation through high-quality prospective studies.

Tumor microenvironment is the result of dynamic interactions between different cellular and non-cellular components,including cancer cells themselves,extracellular matrix,immune cells and various non immune cells.Microenvironment is closely related to the growth,metastasis and prognosis of breast cancer,and is closely related to the current popular targeted therapy and immunotherapy.Radiomics is a new field of translational medicine based on extracting high-dimensional data from images to obtain reliable models that can be applied to clinical practice.In this review,the latest advances in the application of radiomics to the tumor microenvironment of breast cancer are discussed.