OBJECTIVE To systematically evaluate the efficacy and safety of different chemotherapy combination regimens for first-line treatment of metastatic colorectal cancer （mCRC）. METHODS PubMed， Cochrane Library， Embase and Web of Science were electronically searched to collect randomized controlled clinical trial （RCT） on first-line treatment for mCRC from January 1， 2000 to February 16， 2025. Two reviewers independently screened literature， extracted data and assessed the risk of bias of the included studies. Network meta-analysis was performed by using R4.4.3 and Stata 17.0 software. RESULTS A total of 28 RCTs， involving 16 intervention measures， were included. In terms of prolonging progression-free survival （PFS） and overall survival （OS）， FOLFOX （5-fluorouracil+oxaliplatin+calcium folinate regimen）+cetuximab had the highest probability of ranking first. In terms of improving objective response rate （ORR）， FOLFOXIRI （5-fluorouracil+oxaliplatin+irinotecan+calcium folinate regimen）+ bevacizumab and FOLFOX+bevacizumab+nivolumab had the highest probability of ranking first； in terms of the incidence of grade 3 or higher adverse reactions， FOLFOXIRI+panitumumab had the highest probability of ranking first； in subgroup analysis of KRAS wild-type patients， FOLFIRI （5-fluorouracil+irinotecan+calcium folinate regimen）+panitumumab and FOLFIRI+bevacizumab had the highest probability of ranking first in terms of prolonging PFS and OS， respectively； in terms of ORR， FOLFOXIRI+ cetuximab had the highest probability of ranking first. CONCLUSIONS In first-line treatment for mCRC， FOLFOX combined with targeted therapy has advantages in terms of efficacy and safety. However， individualized treatment strategies should be formulated based on the KRAS gene status and tumor location of patients.

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

OBJECTIVE To evaluate the quality of Euscaphis japonica from different habitats. METHODS The relative correction factors of gallic acid， protocatechuic acid， ellagic acid， isoquercitrin， astragalin and apigenin were calculated with quercetin as the internal reference； the relative correction factors of euscaphic acid， oleanolic acid， stigmasterol and β-sitosterol were also calculated with ursolic acid as the internal reference. The contents of 12 components in 18 batches of samples were calculated by QAMS method and were compared with external standard method. At the same time， the contents of water-soluble extract， alcohol-soluble extract， total ash and acid-insoluble ash were detected. The quality of E. japonica was evaluated by principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and weighted technique for order preference by similarity to ideal solution （TOPSIS） method. RESULTS There was no significant difference between the results of QAMS method and external standard method for the 12 components in the 18 batches of samples. However， notable content variations were observed among different batches of samples. The results of PCA and OPLS-DA showed that S1-S7， S8- S12， and S13-S18 were clustered into one category respectively. Seven key characteristic components variable importance in projection values ＞1， euscaphic acid， ursolic acid， protocatechuic acid， apigenin， β-sitosterol， isoquercitrin， and oleanolic acid， respectively. The analysis results of the weighted TOPSIS method revealed that the relative closeness for evaluating the quality of 18 batches of samples ranged from 0.283 5 to 0.644 1， with the samples of E. japonica from Fengjie， Chongqing， demonstrating the highest quality. CONCLUSIONS The established method is accurate and feasible， which can be used for the quality evaluation of E. japonica combined with chemometrics and weighted TOPSIS model.

An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.

Objective To observe the ultrasonic manifestations of local recurrence(LR)of breast cancer after surgery.Methods Totally 82 female breast cancer patients with local hypoechoic in surgical area who underwent ultrasound follow-up were enrolled and divided into LR group(n=18)and non LR group(n=64)according to the local hypoechoic was LR or not.Clinical data and ultrasonic manifestations of primary lesion before operation and postoperative local hypoechoic were observed and compared between groups.Results Significant differences of surgical resection type,molecular subtype,status of smooth muscle actin,Calponin status,Ki-67 status,clinical staging,the maximum diameter and posterior echo of the primary lesion,as well as of involved tissue layer,location,long axis parallel to the skin or not,edge,internal echo,posterior echo,skin change and Adler blood flow grading of local hypoechoic in resection area were found between groups(all P＜0.05).Conclusion Ultrasonic manifestations of LR of breast cancer after surgery had certain characteristics.

Objective To observe the ultrasonic manifestations of local recurrence(LR)of breast cancer after surgery.Methods Totally 82 female breast cancer patients with local hypoechoic in surgical area who underwent ultrasound follow-up were enrolled and divided into LR group(n=18)and non LR group(n=64)according to the local hypoechoic was LR or not.Clinical data and ultrasonic manifestations of primary lesion before operation and postoperative local hypoechoic were observed and compared between groups.Results Significant differences of surgical resection type,molecular subtype,status of smooth muscle actin,Calponin status,Ki-67 status,clinical staging,the maximum diameter and posterior echo of the primary lesion,as well as of involved tissue layer,location,long axis parallel to the skin or not,edge,internal echo,posterior echo,skin change and Adler blood flow grading of local hypoechoic in resection area were found between groups(all P＜0.05).Conclusion Ultrasonic manifestations of LR of breast cancer after surgery had certain characteristics.

An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

Objective To explore the prevention and treatment of vasovagal reflex during and after operation in diseases of urinary system.Methods From February 2020 to April 2023,1436 patients who completed inpatient surgery in Department of Urology,Songshan Hospital,Qingdao University Medical College were selected to analyze the emergency management measures of vasovagal reflex during and after operation and summarize the diagnosis and treatment experience.Results Among 1436 patients,vasovagal reflex occurred in 4 cases during operation and 14 cases after operation,with an incidence of 1.25%.Most patients showed simultaneous decrease in blood pressure and heart rate.After intravenous injection of atropine and dopamine,blood pressure and heart rate returned to normal,and various concomitant symptoms disappeared,and no death cases were reported.Conclusion Urological specialists should pay attention to vasovagal reflex,sum up experience,do early identification,timely treatment to ensure the safety of patients.