Objective To explore the clinical efficacy of plasma exchange (PE) and double-filtration plasmapheresis (DFPP) pretreatment regimens for high-titer ABO-incompatible kidney transplantation (ABOi-KT). Methods A retrospective analysis was conducted on 31 cases of ABOi-KT with a follow-up period ≥1 year admitted to Zhongshan Hospital Affiliated to Fudan University from April 2016 to August 2025. The efficacy differences between the PE combined with rituximab (RTX) + oral triple immunosuppressive regimen and the DFPP combined with RTX + oral triple immunosuppressive regimen were compared and analyzed. The titers of blood group antibodies and serum creatinine levels before and after the operation were monitored. The survival curves and cumulative risk occurrence curves were plotted using the Kaplan-Meier method. The survival rates of recipients and transplanted kidneys and the occurrence of complications were analyzed. Results Both the PE regimen and the DFPP regimen may effectively reduce the preoperative blood group antibody titer of the recipients to ≤1∶16. The one-year survival rate of the recipients and the transplanted kidneys both reached 100% after the operation. The postoperative serum creatinine levels of recipients who received the DFPP regimen were lower and more stable. There was no statistically significant difference in the incidence of complications between the two regimens during the same follow-up period. Conclusions Both the PE and DFPP regimens are effective pretreatment regimens for ABOi-KT. The DFPP regimen has more advantages in reducing treatment operations, lowering drug dosage and maintaining the stability of postoperative renal function. For recipients with a high initial antibody titer (≥ 1∶32), individualized determination of the number and frequency of plasma processing for pretreatment may achieve ideal therapeutic effects.

SMYD5 is a ribosomal methyltransferase with SET and MYND structural domains， which is a member of the SMYD family and is expressed in a variety of tissues， including ovary and testis. This enzyme participates in biological processes such as gene expression regulation， cell development and differentiation， and maintenance of genomic stability through ribosomal protein methylation modification. In recent years， research on SMYD5 has increased in cancers including hepatocellular carcinoma， gastric adenocarcinoma， and lung cancer. Studies have revealed that SMYD5 exhibits high expression levels in various diseases including hepatocellular carcinoma， gastric adenocarcinoma， lung cancer， and inflammatory bowel disease， influencing the progression of these conditions. This review summarizes the role of SMYD5 in hepatocellular carcinoma， inflammatory bowel disease， and other biological functions， aiming to provide a reference for related disease research.

Abstract Ring finger protein 183(RNF183) is an E3 ubiquitin ligase that catalyzes the covalent attachment of ubiquitin molecules to substrate proteins. RNF183 is expressed in tissues such as kidney and testis, and it is mainly localized to the endoplasmic reticulum, Golgi apparatus, and lysosomes in cells. As one of the components of the endoplasmic reticulum membrane, it participates in the endoplasmic reticulum stress-responsive pathway that affects cellular and protein ubiquitination. In recent years, the study of E3 ubiquitin ligase member-RNF183 with various diseases such as colorectal cancer, endometrial cancer and bladder cancer has gradually increased. In this review, the role of RNF183 in colorectal cancer, inflammatory bowel disease and other diseases, as well as biological functions such as endoplasmic reticulum stress are summarized, aiming to provide reference ideas for the study of related diseases.

Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective: To explore the correlation between allogeneic red blood cell (RBC) transfusion and healthcare-associated infections (HAIs) in patients undergoing coronary artery bypass grafting (CABG) during the perioperative period. Methods: A single-center retrospective cohort of 1,170 patients undergoing isolated CABG was analyzed. Multivariable logistic regression and restricted cubic splines (RCS) were employed to explore the nonlinear association between perioperative RBC transfusion (from intraoperative period to 72 hours postoperatively) and HAIs. Results: Among the 1,170 CABG patients, 109 patients (9.2%) received RBC transfusion during the operation or within 3 days after the operation. The risk of HAIs in those who received ≥4 units of RBCs during and within 3 days after the operation was 6.89 times higher than that in the non-transfusion group (95% CI: 3.65-17.20). Furthermore, there was a nonlinear threshold effect between the blood transfusion volume and postoperative HAIs (inflection point: 7.8 units). When the transfusion volume was ≤7.8 units, the risk of HAIs increased by 61% for each additional unit transfused (OR=1.61, 95% CI: 1.21-2.15). Beyond this threshold, no statistically significant association was observed (P=0.289). Conclusion: Perioperative RBC transfusion in CABG patients is associated with an increased incidence of HAIs. The perioperative blood transfusion volume has a curvilinear relationship with the risk of postoperative HAIs. When the blood transfusion volume is ≤7.8 units, the blood transfusion volume has a dose-dependent relationship with postoperative infection, with higher blood transfusion volumes correlating with greater postoperative infection risk. When the blood transfusion volume is >7.8 units, the relationship between the two is not statistically significant. The preventive effect of reducing RBC transfusion on HAIs requires further validation in the future.

Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective To investigate the role of pharmacists in smoking cessation abroad and foster the dissemination and initiation of smoking cessation services led by pharmacist. Methods A search and compiles information on the value of pharmacists in offering smoking cessation services were carried out through the PubMed and Scopus electronic databases and the evolution of supportive policies were analyzed. The feasibility and barriers to pharmacists providing these services were examined. Results The involvement of pharmacists in smoking cessation positively impacted public health and the economy. Endowing pharmacists with the authority to prescribe smoking cessation medications, providing training in this service, and bolstering their potential through interprofessional collaboration can effectively address the barriers to their role in smoking cessation. Conclusion It is advisable to consider integrating smoking cessation services led by pharmacist into healthcare and public health policy guidelines ,which could enhance the efficacy and sustainability of smoking cessation initiatives.

Objective:To improve the perception of computed tomography(CT)images in detecting fine fracture through multi-task network of global attention,and to realize the detection of the target of fine fracture at case level through multi-task,and to quickly and accurately identify and locate fracture from a large number of CT images,so as to assist doctors to timely conduct treatment.Methods:A grouped Non-local network method was introduced to calculate the remote dependency relationship between each position of CT image continuous sections and channel.A single-stage detector of multi-objective detection model three dimension(3D)RetinaNet was integrated with the medical image semantic segmentation architecture(3D U-Net).A end-to-end multi-task 3D convolutional network was realized,which realized the detection of case level for fine fracture through multi-task collaboration.Select 600 CT scan images from the Rib Frac Dataset of rib fractures provided by the MICCAI 2020 Challenge,and they were divided into training set(500 cases)and test set(100 cases)as the ratio of 5:1 to test the precise performance of multi-task 3D convolutional network.Results:The precise performance of multi-task 3D convolutional network method was better than that of single-task FracNet,3D RetinaNet and 3D Retina U-Net in detection,which average precision was respectively higher 7.8%and 11.4%than 3D RetinaNet and 3D Retina U-Net.It was better than two kinds of single-task network detection method included 3D Faster R-CNN and 3D Mask R-CNN,and the average precision of that was respectively higher 6.7%and 3.1%than them.Conclusion:The integrated different modules of global attention multi-task network can improve the detection performance of fine fracture.The introduction of grouped Non-local network method can further improve the precise performance for the targets of fine fractures in detection.

Objective: To investigate the potential association among preoperative breast MRI features, axillary nodal burden (ANB), and disease-free survival (DFS) in patients with early-stage breast cancer. Materials and Methods: We retrospectively reviewed 297 patients with early-stage breast cancer (cT1-2N0M0) who underwent preoperative MRI between December 2016 and December 2018. Based on the number of positive axillary lymph nodes (LNs) determined by postoperative pathology, the patients were divided into high nodal burden (HNB; ≥3 positive LNs) and non-HNB (<3 positive LNs) groups. Univariable and multivariable logistic regression analyses were performed to identify independent risk factors associated with ANB. Predictive efficacy was evaluated using the receiver operating characteristic (ROC) curve and area under the curve (AUC). Univariable and multivariable Cox proportional hazards regression analyses were performed to determine preoperative features associated with DFS. Results: We included 47 and 250 patients in the HNB and non-HNB groups, respectively. Multivariable logistic regression analysis revealed that multifocality/multicentricity (adjusted odds ratio [OR] = 3.905, 95% confidence interval [CI]: 1.685– 9.051, P= 0.001) and peritumoral edema (adjusted OR = 3.734, 95% CI: 1.644–8.479, P = 0.002) were independent risk factors for HNB. Combined peritumoral edema and multifocality/multicentricity achieved an AUC of 0.760 (95% CI: 0.707– 0.807) for predicting HNB, with a sensitivity and specificity of 83.0% and 63.2%, respectively. During the median follow-up period of 45 months (range, 5–61 months), 26 cases (8.75%) of breast cancer recurrence were observed. Multivariable Cox proportional hazards regression analysis indicated that younger age (adjusted hazard ratio [HR] = 3.166, 95% CI: 1.200–8.352, P= 0.021), larger tumor size (adjusted HR = 4.370, 95% CI: 1.671–11.428, P= 0.002), and multifocality/multicentricity (adjusted HR = 5.059, 95% CI: 2.166–11.818, P< 0.001) were independently associated with DFS. Conclusion Preoperative breast MRI features may be associated with ANB and DFS in patients with early-stage breast cancer.

Epithelial splicing regulatory protein 1(ESRP1)is an epithelial cell-specific splicing factor that in-volved in selective splicing and translation of multiple genes.ESRP1 regulates signaling pathways that affect cell proliferation and tumor growth via mediating target genes and regulating cyclic RNA cyclization and biogenesis in a variety of cancers,including head and neck squamous cell carcinoma,carcinoma of colon,and prostate cancer.Through integrating and analyzing the link between ESRP1 and related cancers,provide new ideas for the treatment of tumor cells in which ESRP1 as a key factor.