Colorectal tumorigenesis generally progresses from adenoma to adenocarcinoma, accompanied by dynamic changes in the tumor microenvironment (TME). A randomized controlled trial has confirmed the efficacy and safety of Shen-Bai-Jie-Du decoction (SBJDD) in preventing colorectal tumorigenesis. However, the mechanism remains unclear. In this study, we employed single-cell RNA sequencing (scRNA-seq) to investigate the dynamic evolution of the TME and validated cell infiltration with multiplex immunohistochemistry and flow cytometry. Bulk RNA sequencing was utilized to assess the underlying mechanisms. Our results constructed the mutually verifiable single-cell transcriptomic atlases in Apc ^Min/+ mice and clinical patients. There was a marked accumulation of CCL22⁺ dendritic cells (DCs) and an enhanced immunosuppressive action, which SBJDD and berberine reversed. Combined treatment with cholesterol and lipopolysaccharide induced characteristic gene expression of CCL22⁺ DCs, which may represent "exhausted DCs". Intraperitoneal injection of these DCs after SBJDD treatment eliminated its therapeutic effects. TMEM131 derived CCL22⁺ DCs generation by TNF signaling pathway and may be a potential target of berberine in retarding colorectal tumorigenesis. These findings emphasize the role of exhausted DCs and the regulatory mechanisms of SBJDD and berberine in colorectal cancer (CRC), suggesting that the multi-component properties of SBJDD may help restore TME homeostasis and offer novel cancer therapy.

Objective To evaluate the efficacy and safety of preoperative bladder artery embolization followed by transurethral resection of bladder tumor(TURBt)in treating bladder cancer.Methods A retrospective analysis was conducted on the clinical data of 129 bladder cancer patients treated at the Fourth Affiliated Hospital of Soochow University from January 2021 to June 2024.Exclusions included 2 cases of acute bleeding with shock,3 cases requiring staged surgery due to poor intraoperative visualization,7 cases with other malignancies,12 cases without TURBt performed within 24 hours after embolization,and 1 case where selective bladder artery embolization failed.Patients were divided into two groups based on whether they underwent pre-TURBt embolization.Group A(n=61)underwent TURBt alone,while Group B(n=43)underwent TURBt within 24 hours after bladder artery embolization.There were no statistically significant differences in gender composition,tumor size,or other clinical characteristics between the two groups(P＞0.05).Statistical comparisons were made between the two groups regarding operation time,intraoperative blood loss,postoperative hospital stay,duration of postoperative catheterization,and incidence of adverse reactions.Results In Group A,the mean operation time was(67.9±14.2)min,intraoperative blood loss was(80.7±24.7)mL,postoperative hospital stay was(8.5±1.6)days,and catheterization duration was(6.9±1.1)days.In Group B,the mean operation time was(54.0±12.6)min,intraoperative blood loss was(58.6±27.3)mL,postoperative hospital stay was(7.3±1.4)days,and catheterization duration was(6.4±0.9)days.Operation time,intraoperative blood loss,postoperative hospital stay,and catheterization duration were significantly lower in Group B compared to Group A(P＜0.05).There was no statistically significant difference in the incidence of postoperative adverse reactions between the two groups(P＞0.05).Conclusion Preoperative bladder artery embolization followed by TURBt for bladder cancer reduces tumor blood supply,thereby decreasing intraoperative bleeding.This approach effectively minimizes surgical bleeding,shortens operation time and postoperative hospital stay,with minimal side effects.It represents a safe and effective combined treatment method worthy of clinical promotion and application.

Human intestinal absorption (HIA) is a crucial indicator for measuring the oral bioavailability of drugs.This study aims to use artificial intelligence methods to predict and evaluate the HIA of drugs in the early stages of drug discovery, thus accelerating the drug discovery process and reducing costs.This study used MOE''s 2D, 3D descriptors, and ECFP4 (extended connectivity fingerprints) to characterize the molecules and established eight models, including support vector machine (SVM), random forest (RF), and deep neural network (DNN).The results showed that the SVM model constructed using a combination of 2D, 3D descriptors and ECFP4 fingerprints was the optimal model according to comprehensive evaluation of various evaluation indicators.The area under the receiver operating characteristic curve (AUC), Matthews correlation coefficient, and Kappa coefficient of the optimal model were 0.94, 0.75, and 0.74, respectively.In conclusion, this study established a robust and generalizable machine learning model for predicting HIA properties, which can provide guidance for early molecular screening and the study of pharmacokinetic properties of drugs.

OBJECTIVETo evaluate clinical factors affecting Gleason score upgrade in patients receiving radical prostatectomy (RP).

METHODSA total of 322 patients with prostate cancer who received RP from January 2012 to December 2013 at Department of Urology at Fudan University Shanghai Cancer Center were included, and their data of age, body mass index (BMI), prostate-specific antigen (PSA), prostate volume, percentage core, clinical staging, pathological characteristics, biopsy Gleason score and RP Gleason score were analyzed. Differences in categorical variables and continuous variables were compared using χ² tests and Student's t-test, respectively. Unconditional multiple logistic regression was used to estimate OR and 95% CI of the association of Gleason score upgrade with clinical factors.

RESULTSGleason score upgrade occurred in 107 of 322 (33.3%) patients. There was no difference in age, BMI and clinical staging between the two groups. Compared with patients without Gleason score upgrade, higher levels of PSA (χ² =6.740, P=0.034), smaller prostate volume (t=3.481, P=0.002) and elevated percentage core (t=-2.097, P=0.037) were observed in patients with Gleason score upgrade. In addition, lymph node metastasis (χ² =4.193, P=0.041) and extracapsular extension (χ² =4.747, P=0.029) were more common in patients with Gleason score upgrade. After adjusting for potential confounders, PSA levels (OR=2.451, 95% CI: 1.290-4.660), prostate volume (OR=0.982, 95% CI: 0.969-0.995) and percentage core (OR=2.756, 95% CI: 1.033-7.357) were independent predictors for Gleason score upgrade.

CONCLUSIONGleason score upgrade happens at a relatively high rate. PSA levels, prostate volume and percentage core are important factors affecting Gleason score upgrade.

Biopsy ; Body Mass Index ; China ; Humans ; Logistic Models ; Male ; Multivariate Analysis ; Neoplasm Grading ; Prostate-Specific Antigen ; blood ; Prostatectomy ; Prostatic Neoplasms ; diagnosis ; surgery

Objective To explore the outcomes of computer-assisted design of therapeutic personalized footwear for diabetic foot.Methods Fifty-eight cases of diabetic foot were included in the study.Ten items of data from theses patients were measured with methods provided by Salford University.All characteristics of the footwear were calculated with computer.Shoes were specially designed with the formula and computational method provided by Safford university.All patients had worn the shoes for 13 months.Special questionnaires were used to measure the outcomes.Results Thirty-two cases had been followed up for one month,25 cases for 2 months,25 cases for 3 months and 42 cases for 13 months.The score had improved from 67.94±15.14 before wearing the shoes to 78.13±1.44 thirteen months after wearing.The health score of the foot had improved.There was significant difference between before and after wearing the footwears.Conclusion Special-designed diabetic shoes play an important role in the prevention of ulcer for diabetic foot patients.Computational method and data model obtained from Salford university needs to be modified when applying it for Chinese.