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.

Chronic prostatitis/chronic pelvic pain syndrome （CP/CPPS） is a prevalent and complex condition in urology and one of the leading causes of chronic pelvic pain. Due to its prolonged duration and recurrent episodes，CP/CPPS significantly impacts patients' quality of life. Abnormal activation of the nuclear transcription factor-κB （NF-κB） pathway influences pathological processes such as the inflammatory response，oxidative stress，apoptosis，and tissue fibrosis in the body，thereby promoting the progression of CP/CPPS. Currently，Western medical therapies include antibiotics，pain relievers，α-blockers，and physiotherapy，yet they still fail to halt the pathological process of CP/CPPS. Research indicates that traditional Chinese medicine （TCM） can modulate the NF-κB pathway through a multi-target and multi-pathway approach，effectively reducing prostate tissue damage and prostate index and alleviating pain and lower urinary tract symptoms. On the basis of existing studies，this paper systematically examines the intrinsic connection between CP/CPPS and the NF-κB pathway and summarizes the effects of TCM active ingredients （e.g.，emodin，quercetin，and gentiopicroside），extracts （e.g.，Oldenlandia diffusa extract），classical medidcinal pairs （e.g.，Phellodendri Chinensis Cortex-Smilacis Glabrae Rhizoma），and compound prescriptions and Chinese patent medicines （e.g.，Qianliexiao decoction，Jiedu Huoxue decoction，Qianlie Shutong capsules） in treating CP/CPPS by regulating the NF-κB signaling pathway. The review of the research findings on treating CP/CPPS through this pathway aims to offer insights for clinical practice of TCM in the prevention and treatment of CP/CPPS，as well as to provide references for basic research and new drug development in this domain.

Osteoarticular diseases,common chronic degenerative disorders in the elderly,involve the gradual deterioration and degeneration of bones or joints.The metabolic capacity declines with age.Impaired bone metabolism dis-rupts homeostasis,leading to osteoarticular dysfunctions.Cuprotosis,a novel form of programmed cell death mediated by ferredoxin 1,matters for the pathologic process in osteoarticular diseases.Cuprotosis influences the levels of intercellular signal transduction to induce oxidative stress,inflammation,pyroptosis,and ferroptosis in joints.Those cell death and mi-tochondrial dysfunction ultimately exacerbate the progression of osteoarticular diseases.Therefore,this review summarizes the mechanism of copper homeostasis-cuprotosis in osteoarticular diseases and the potential applications targeting copper homeostasis-cuprotosis.

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.

Objective:To compare the consistency and efficacy of ultrasound and CT in the preoperative diagnosis of cervical lymph node metastasis in patients with thyroid cancer, and to explore the clinical value of the combined application of multimodal imaging.Methods:The 119 thyroid cancer patients underwent surgical treatment from January to September 2023 in Zhongshan Hospital Affiliated to Dalian University were retrospectively analyzed. All patients underwent ultrasound and CT examinations before operation. The results of postoperative histopathology examination were taken as the gold standard, the efficacy of ultrasound and CT in preoperative diagnosis of cervical lymph node metastasis was compared.Results:A total of 1 721 cervical lymph nodes were detected in 119 patients with thyroid cancer, among which 1 378 lymph nodes were benign, and 343 lymph nodes were malignant, the rate of malignant lymph nodes was 19.93% (343/1 721). Among them, the proportion of malignant lymph nodes in area Ⅵ was the highest, 22.58% (245/1 085), followed by area Ⅲ, 21.26% (37/174). The sensitivity of CT in diagnosing cervical lymph node metastasis in patients with thyroid cancer was significantly higher than that of ultrasound diagnosis: 58.46% (38/65) vs. 38.46% (25/65), the specificity was significantly lower than that of ultrasound diagnosis: 85.19% (46/54) vs. 96.30% (52/54), and there were statistical differences ( P<0.01 and <0.05); there was no statistical difference in accuracy between CT and ultrasound ( P>0.05). Conclusions:In the preoperative diagnosis of cervical lymph node metastasis in patients with thyroid cancer by ultrasound and CT, ultrasound examination has no radiation risk, while CT examination has a higher diagnostic efficiency.

Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.

Objective To determine the relationship between the triglyceride-glucose(TyG)index and subclinical left ventricular dysfunction(SLVD)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 148 patients with T2DM who were admitted to Anyang Regional Hospital of Puyang were enrolled in this study from January to December 2023.They were divided into simple T2DM group with global longitudinal strain(GLS)value≥18%(n=89)and SLVD group with GLS value<18%(n=59)according to the left ventricular function.The general data,biochemical indexes,TyG index and homeostatic model 2 assessment for insulin resistance(HOMA2-IR)were compared between the two groups.Pearson correlation analysis was used to analyze the correlation between clinical indicators and TyG index.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of TyG index and HOMA2-IR for SLVD in T2DM patients.Results BMI,WC,HOMA2-IR,end-diastolic interventricular septal thickness(IVSTD),left ventricular end-diastolic diameter(LVDD),left ventricular end-systolic diameter(LVDS),left ventricular end-diastolic posterior wall thickness(LVPWTD),left atrial diameter(LAD),HbA1c,FPG,FC-P,TG and TyG were higher(P<0.05),while GLS and LVEF were lower in SLVD group than in T2DM group(P<0.05).Pearson correlation analysis showed that TyG index was positively correlated with BMI,WC,IVSTD,LVDS,LVPWTD,HbA1c,FPG,FC-P,TG,HOMA2-IR(P<0.05),and negatively correlated with GLS and LVEF(P<0.05).ROC curve analysis showed that the area under the curve(AUC)of TyG index was 0.810,the sensitivity was 54.2%,the specificity was 98.9%,and the cut-off value was 9.45 for predicting SLVD in T2DM patients.The AUC of HOMA2-IR was 0.651,the sensitivity was 42.4%,the specificity was 84.2%,and the cut-off value was 1.85 for predicting SLVD in T2DM patients.Conclusions The TyG index was independently associated with SLVD in patients with T2DM and was a more reliable indicator of SLVD than HOMA2-IR.

This study retrospectively analyzed the clinical data of 43 patients with large-volume renal calculi treated with flexible ureteroscopic lithotripsy (FURL)at our hospital from August 2020 to August 2023. Among the patients, 26 were male and 17 were female; 22 had left-sided stones and 21 had right-sided stones. Thirty-three patients had preoperative placement of a double-J (D-J)stent, while 10 did not. The mean age was (42.7±11.1)years, the mean stone volume was (10.3±3.5)cm 3, and the mean operative time was (97.9±10.4)minutes. All procedures were completed using reusable flexible ureteroscopic lithotripsy. Twenty-two patients received traditional methods of stone expulsion after FURL (control group), while 21 patients received a combination of traditional methods and extracorporeal physical vibration lithotripsy (EPVL) after FURL (experimental group). The experimental group showed a significantly higher stone-free rate at one month (85.7% vs. 54.5%)and a lower reoperation rate (4.8% vs. 31.8%)compared to the control group. The difference in reoperation rates between the experimental and control groups was statistically significant ( P< 0.05). These results suggest that the combination of reusable ureteroscopic lithotripsy and EPVL is a feasible treatment option for large-volume renal calculi.

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.

Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.