Antibody-drug conjugates （ADCs） are a novel class of anti-tumor agents composed of a targeted monoclonal antibody， a cytotoxic drug， and a linker connecting the two. They combine the high specificity of antibodies with the potent cytotoxicity of chemotherapeutic agents. Triple-negative breast cancer （TNBC） is characterized by high aggressiveness， elevated risks of recurrence and metastasis， and poor prognosis， largely due to the lack of effective therapeutic targets. This review summarizes the research progress of ADCs in the treatment of TNBC. It has been found that ADCs targeting human epidermal growth factor receptor 2 （such as trastuzumab deruxtecan）， trophoblast cell surface antigen 2 （such as sacituzumab govitecan and datopotamab deruxtecan）， zinc transporter LIV-1 （such as ladiratuzumab vedotin）， HER-3 （such as patritumab deruxtecan）， epidermal growth factor receptor （such as AVID100）， and glycoprotein non-metastatic melanoma protein B （such as glembatumumab vedotin） have all demonstrated promising therapeutic effects against TNBC. Despite challenges including acquired resistance and treatment-related toxicities， ADCs are undoubtedly reshaping the therapeutic landscape for TNBC and are expected to occupy a more central position in TNBC treatment in the future.

OBJECTIVE To compare the efficacy and safety of evolocumab and probucol in patients with ultra-high-risk atherosclerotic cardiovascular disease （ASCVD） following percutaneous coronary intervention （PCI）. METHODS A retrospective analysis was conducted on 156 ultra-high-risk ASCVD patients who underwent PCI in our institution between January 1， 2023 and December 31， 2024. According to the lipid-lowering regimen， the patients were categorized into evolocumab group （ n ＝86） and probucol group （ n ＝70）. Changes in lipid parameters [total cholesterol （TC）， low-density lipoprot ein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， triglycerides， lipoprotein （a）， and lipid goal achievement rate ] ， inflammatory markers [interleukin-6 （IL-6） and C-reactive protein （CRP） ] ， and cardiac function indices （left ventricular ejection fraction， left ventricular end-systolic diameter， left ventricular end-diastolic diameter， and N-terminal pro-B-type natriuretic peptide） were compared between two groups at baseline and after 6 months of treatment. The incidence of adverse clinical events during treatment， including acute myocardial infarction， in-stent restenosis， acute heart failure， cerebral hemorrhage， and stroke， was also evaluated. RESULTS No statistically significant differences were observed between the two groups at baseline （ P ＞0.05）. After 6 months of treatment， both groups demonstrated significant improvements in lipid profiles （except HDL-C） and inflammatory markers compared to those at baseline （ P ＜0.05）. The evolocumab group exhibited greater reductions in TC， LDL-C， IL-6， and CRP， along with a higher lipid target achievement rate， compared with the probucol group （ P ＜0.05）. There were no statistically significant differences in the cardiac function-related indicators before and after treatment between the two groups， nor in the incidence of adverse events during the treatment （ P ＞0.05）. CONCLUSIONS For ultra-high-risk ASCVD patients after PCI， both of the above treatment options are associated with improvements in blood lipid and inflammatory response， with good safety during short-term follow-up. Evolocumab shows superior efficacy in TC， LDL-C and inflammatory markers reduction and lipid target achievement， compared to probucol.

Objective:To investigate the effects of arthroscopic meniscus suturing on pain indicators and knee joint function in patients with meniscus injury.Methods:A retrospective analysis was conducted on the clinical data of 132 patients with meniscus injury admitted to the Linhai Second People's Hospital from January 2021 to June 2024. Based on different surgical methods, the patients were divided into two groups: the resection group ( n = 66) undergoing arthroscopic meniscectomy and the suture group ( n = 66) undergoing arthroscopic meniscus suturing. The Visual Analogue Scale scores of both groups were compared at 1, 3, and 5 days after surgery. Postoperative complications were also compared between the two groups. The levels of inflammatory factors, including interleukin-1β, interleukin-6, and tumor necrosis factor-α, were compared between the two groups before surgery and 1 week after surgery. Additionally, the knee joint range of motion and the Lysholm knee score were compared between the two groups before surgery and 3 months after surgery. Results:At 1, 3, and 5 days after surgery, the Visual Analogue Scale scores for patients in the suture group were (3.85 ± 0.43), (1.85 ± 0.29), and (0.85 ± 0.10), respectively, all of which were significantly lower than those in the resection group [(4.23 ± 0.23), (2.12 ± 0.34), (1.15 ± 0.25), t = 6.33, 4.91, 9.05, all P < 0.001]. There was no significant difference in the incidence of postoperative complications between the suture and resection groups [3.03% (2/66) vs. 1.52% (1/66), χ2 = 0.0, P = 1.000]. At 1 week after surgery, the levels of interleukin-1 β, interleukin-6, and tumor necrosis factor-α in the suture group were (0.15 ± 0.01) ng/L, (5.15 ± 0.38) ng/L, and (5.72 ± 0.59) ng/L, respectively. The values were significantly lower than those in the resection group [(0.17 ± 0.0) ng/L, (5.55 ± 0.56) ng/L, (6.10 ± 0.66) ng/L, t = 7.27, 4.80, 3.49, all P < 0.001]. At 3 months after surgery, the Lysholm knee scores and knee joint range of motion for patients in the suture group were (86.73 ± 2.85) and (126.52 ± 4.29)°, respectively. These values were significantly higher than those in the resection group [(84.15 ± 3.92), (120.65 ± 4.52)°, t = 4.33, 7.65, both P < 0.001]. Conclusions:Arthroscopic meniscus suturing causes less damage compared with arthroscopic meniscectomy. Patients undergoing meniscus suturing experience less postoperative pain, a milder inflammatory response, faster recovery, better restoration of knee joint function, and fewer complications, making the procedure safer and more reliable.

Objective To explore the diagnostic value of amide proton transfer weighted imaging(APTWI)in conjunction with prostate-specific antigen density(PSAD)for detecting clinically significant prostate cancer(csPCa)within prostate imaging reporting and data system(PI-RADS)v2.13-5 grade lesions.Methods A retrospective analysis was conducted on the clinical and imaging data of 88 patients diagnosed with PI-RADS 3-5 grade prostate lesions.There were 59 patients with prostate cancer(PCa)and 29 with benign prostate lesion(BPL).The PCa group was divided into csPCa group(44 cases)and clinically insignificant prostate cancer(ciPCa)group(15 cases)according to Gleason score(GS).Spearman rank correlation analysis was used to analyze the correlation between APTWI-related parameters and GS in PCa.Comparative analyses were conducted to identify statistical discrepancies in APTWI and prostate-specific antigen(PSA)-related parameters across various groups.Subsequently,both solitary and combined diagnostic models were developed,and the receiver operating characteristic(ROC)curve were utilized to evaluate the diagnostic efficacy.Results APTmax and APTmean were moderately positively correlated with GS(r=0.683,r=0.705,respectively),and APTmin was weakly positively correlated with GS(r=0.547).APTWI and PSA-related parameters were significantly higher in the PCa group than in the BPL group,and APTmin had the highest efficacy in diagnosing PCa[area under the curve(AUC)=0.855].APTWI and PSA-related parameters differed among the BPL,ciPCa and csPCa groups(P＜0.05).Among the groups,statistically significant differences were observed in each parameter of APTWI and PSA-related indices between the BPL group and the csPCa group,as well as between the ciPCa group and the csPCa group(P＜0.05).In contrast,only APTmin and PSAD exhibited significant differ-ences between the BPL group and the ciPCa group(P＜0.05).The results of the combined diagnosis showed that APTmin+PSAD had the highest diagnostic efficacy for diagnosing PCa(AUC=0.899),and APTmean+PSAD had the highest diagnostic efficacy for diagnosing csPCa(AUC=0.838).Conclusion In PI-RADS 3-5 grade prostate lesions,APTWI and PSA-related parameters are statisti-cally different in the BPL,ciPCa,and csPCa groups.Notably,the combination of APTmean and PSAD exhibit the highest diagnostic efficacy for csPCa.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.

Cholangiocarcinoma,as a malignant tumor with strong invasiveness and poor prognosis,has a complex metastasis mechanism,and urgently needs in-depth research.Circulating tumor cells(CTC),as the key cell type for tumor cells to shed from the primary site and enter the bloodstream,have significant research significance.In recent years,studies have found that the invasive pseudopodia of CTC play a significant role in the migration and invasion of tumor cells.Among them,in terms of signal transduction pathways,the Rho family GTPases(RhoA,Rac1,Cdc42)work in coordination to regulate the contractility of the pseudofoot,the branching polymerization and orientation of actin,and the phosphoinositide3-kinase/protein kinase B(PI3K/AKT)pathway promotes the assembly of actin and cross-communicates with the Rho family by activating AKT.At the molecular mechanism level,long non-coding RNAs regulate the expression of pseudopolypod-related genes by adsorbing miRNAs and other means.Matrix metalloproteinase(MMP)degrades the extracellular matrix(ECM)to form an invasion positive feedback.In terms of the microenvironment,cancer-associated fibroblast(CAF)and the cytokines such as transforming growth factor-β(TGF-β)secreted by macrophages,epidermal growth factor(EGF),and interleukin-6(IL-6)activate pseudopodia to form signal transduction pathways.ECM hardness and fiber arrangement affect the extension direction of pseudopodia through mechanical force conduction.This article conducted a comprehensive analysis of the biological characteristics of CTC,the formation mechanism of invasive pseudopodia in cholangiocarcinoma,the metastatic features of cholangiocarcinoma cells and their clinical significance,as well as the role of CTC in the metastatic process of cholangiocarcinoma,in order to summarize the existing research results,explore potential therapeutic targets and future research directions,and provide new ideas for the clinical treatment of cholangiocarcinoma.

Objective To investigate the prognostic value of mitochondrial autophagy-related genes(MRGs)in prostate cancer(PCa),and to reveal their regulatory relationship with interstitial epidermal transforming factor(C-Met)based on the Gene Expression Database(GEO).Methods Single-cell RNA sequencing(scRNA-seq)data of three PCa samples were obtained from the GSE153892 dataset of GEO,and MRGs were collected from the Genecards database and previous literature.The scRNA-seq data were processed and analyzed using the Seurat software package,including quality control,gene expression screening,cell type annotation,differentially expressed genes(DEGs)identification,and intersection analysis with MRGs.The transcriptome data of PCa and control samples were downloaded from the Cancer Genome Atlas Database(TCGA)-PRAD cohort,and differential expression analysis and copy number variation analysis were conducted.The non-negative matrix factorization algorithm is adopted to conduct cluster analysis on PCa samples to identify different PCa subtypes.A prognostic risk model based on intersection genes was constructed,and the predictive ability of the model was analyzed through Kaplan-Meier survival curve analysis and time-dependent receiver operating characteristic(ROC)curve analysis.Conduct independent prognostic analysis,construct a nomogram model based on risk scores and clinical characteristics,and evaluate its ability to predict patient survival rates.The possibility of immune infiltration and tumor immune escape in PCa samples was evaluated by using the single-sample Gene Set Enrichment analysis(ssGSEA)algorithm and the TIDE database.The relationship between intersection genes and C-Met expression was analyzed using Pearson correlation analysis.Results scRNA-seq data analysis identified five cell types including B lymphocytes,epithelial cells,monocytes,natural killer cells and T lymphocytes,and discovered the intersection genes that were highly expressed in different cell types.Through differential expression analysis,genes significantly related to the prognosis of PCa patients were screened out,and a prognostic risk model was constructed.Six genes such as ADH5 and CAT were retained through LASSO analysis.A diagnostic model was constructed and grouped.There was a significant difference in survival time between the two groups in the internal test set(P<0.05).ROC curve evaluation showed that the model had a good predictive ability for 1-,3-,and 5-year survival rates.The external test set verified that there was a statistically significant difference in the expression of intersection genes(P<0.05).Independent prognostic analysis identified T stage and risk score as independent prognostic factors.A nomogram model was constructed.Calibration curve and ROC curve analyses showed that the predictive ability of this model was superior to that of the simple risk model.ssGSEA analysis revealed differences in the abundance of immune cell inflammation and immune function scores between the two groups.Most immune cells,immune function,and risk scores were related to the modeling genes.There were significant differences in TIDE scores and multiple immune checkpoints between the high-risk and low-risk groups(P<0.05).BCAT2,DCXR,OGT and FUS were positively correlated with the expression of C-Met,while ADH5 and CAT were negatively correlated with the expression of C-Met(P<0.05).Conclusion The prognostic risk model based on intersection genes can effectively predict the prognosis of patients with PCa,and the risk score and T stage are independent prognostic factors for PCa.The correlation analysis of intersection genes and C-Met expression provides a new idea for the targeted therapy of PCa.

In recent years,as the survival time of liver transplant recipients continues to increase,serious complications after transplantation,including diabetes,which affects the long-term survival of patients,have attracted more and more attention.Diabetes after liver transplantation can increase the risk of infection and cardiovascular disease,which in turn affects the survival rate of grafts and patients,and therefore,identification and intervention for high-risk populations are of great importance for improving the prognosis of patients.This article reviews the risk factors for diabetes after liver transplantation,in order to deepen the understanding of diabetes after liver transplantation and provide a theoretical basis for disease prevention and treatment.

Objective:To systematically evaluate the associations of C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) with post-stroke depression (PSD).Methods:PubMed, Embase, Cochrane Library, Web of Science, CNKI, and Wanfang databases were searched to collect literature comparing levels of CRP, IL-6, and TNF-α at the peripheral blood between PSD and non-PSD patients, with retrieval time limit from inception to June 2024. Literature was screened according to inclusion and exclusion criteria, and data were extracted. Newcastle-Ottawa Scale (NOS) was used to assess the quality of included literature. Meta analysis was conducted using Stata 18.0 software, and publication bias was assessed.Results:A total of 21 pieces of literature with 3,177 participants were collected, including 1,425 patients with PSD and 1,752 patients with non-PSD. Meta analysis results showed that CRP level at the peripheral blood in PSD patients was significantly higher than that in non-PSD patients (standardized mean difference [ SMD]=0.930, 95% CI: 0.580-1.280, P<0.001). Subgroup analysis results showed that, among the 7 pieces of literature with CRP detection<14 days after stroke, CRP level at the peripheral blood in PSD patients was significantly higher than that in non-PSD patients ( SMD=0.640, 95% CI: 0.38-0.89, I2=83.9%, P<0.001); among the 4 pieces of literature with CRP detection≧14 days after stroke, CRP level at the peripheral blood in PSD patients was significantly higher than that in non-PSD patients ( SMD=1.450, 95% CI: 0.820-2.090, P<0.001), enjoying higher heterogeneity ( I2=90.6%). IL-6 level at the peripheral blood in PSD patients was significantly higher than that in non-PSD patients ( SMD=2.659, 95% CI: 1.583-3.735, P<0.001). No significant difference in TNF-α level at the peripheral blood was noted between PSD patients and non-PSD patients ( SMD=0.403, 95% CI: -0.208-1.014, P=0.196). Conclusion:CRP and IL-6 levels at the peripheral blood in PSD patients are obviuosly higher than those in non-PSD patients, suggesting that CRP and IL-6 may be potential biomarkers for early identification and intervention of PSD.

Digital technology has revolutionized the traditional model of quality evaluation for traditional Chinese medicine(TCM).This article systematically reviews the research hotspots and practical applications of digital-driv-en quality evaluation of TCM.Simultaneously,this paper analyzes and assesses the challenges faced by the digitiza-tion of TCM quality evaluation from multiple perspectives,including data acquisition,model construction,applica-tion promotion and market acceptance,and puts forward targeted strategies.Addressing the existing issues in the field of TCM quality,this paper proposes a series of innovative concepts,including the mining and application of TCM property data,the construction of a large database of TCM components,the integration of digital technology and emerging biotechnology for biological effect evaluation of TCM and clinical intelligent evaluation based on real-world data.Based on these,it further proposes a multi-dimensional quality analysis model for grading TCM,which encompasses TCM property data,chemical composition analysis,biological effect assessment and clinical evalua-tion.It aims to provide a useful reference for the modernization,scientification,and standardization of TCM quality evaluation.