Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

Objective To investigate the effect of drug-eluting bead DACE(DEB-TACE)combined with systemic treatment for hepatocellular carcinoma(HCC)in different locations.Methods A total of 204 HCC patients who underwent DEB-TACE combined with systemic therapy(targeted and immunotherapy)were retrospectively collected.According to the anatomical location of HCC,86 cases with lesions located at the main trunk of portal vein(PV)or within 1 cm of the first PV branch were classified into central type group,while 118 cases with lesions located at the other areas were classified as peripheral type group.Follow-up was regularly performed after DEB-TACE until August,2024.The objective response rate(ORR)and disease control rate(DCR)at 1,3,6 and 12 months after DEB-TACE,also patients'progression-free survival(PFS)and overall survival(OS)were compared between groups.Results All patients were followed up for a median of 32.6 months,during which 164 cases died.Significant differences of ORR at 1 and 3 months after DEB-TACE(77.91％[67/86]vs.89.83％[106/118],34.88％[30/86]vs.54.24％[64/118])and DCR at 3 and 6 months after DEB-TACE(51.16％[44/86]vs.66.95％[79/118],34.88％[30/86]vs.50.00％[59/118])were found between groups(all P＜0.05).Patients'PFS(30.18[9.12,48.54]months)and OS(37.36[17.79,56.68])in peripheral type group were better than those in central type group(20.11[11.35,28.87]months and 23.24[3.11,43.47]months,x2=3.971,4.162,P=0.048,0.041).Conclusion The effect of DEB-TACE combined with systemic treatment for peripheral type HCC was better than for central type HCC.

Objective To investigate the effect of drug-eluting bead DACE(DEB-TACE)combined with systemic treatment for hepatocellular carcinoma(HCC)in different locations.Methods A total of 204 HCC patients who underwent DEB-TACE combined with systemic therapy(targeted and immunotherapy)were retrospectively collected.According to the anatomical location of HCC,86 cases with lesions located at the main trunk of portal vein(PV)or within 1 cm of the first PV branch were classified into central type group,while 118 cases with lesions located at the other areas were classified as peripheral type group.Follow-up was regularly performed after DEB-TACE until August,2024.The objective response rate(ORR)and disease control rate(DCR)at 1,3,6 and 12 months after DEB-TACE,also patients'progression-free survival(PFS)and overall survival(OS)were compared between groups.Results All patients were followed up for a median of 32.6 months,during which 164 cases died.Significant differences of ORR at 1 and 3 months after DEB-TACE(77.91％[67/86]vs.89.83％[106/118],34.88％[30/86]vs.54.24％[64/118])and DCR at 3 and 6 months after DEB-TACE(51.16％[44/86]vs.66.95％[79/118],34.88％[30/86]vs.50.00％[59/118])were found between groups(all P＜0.05).Patients'PFS(30.18[9.12,48.54]months)and OS(37.36[17.79,56.68])in peripheral type group were better than those in central type group(20.11[11.35,28.87]months and 23.24[3.11,43.47]months,x2=3.971,4.162,P=0.048,0.041).Conclusion The effect of DEB-TACE combined with systemic treatment for peripheral type HCC was better than for central type HCC.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

This paper reviews the risk factors and commonly used assessment tools for subthreshold depression in patients with type 2 diabetes mellitus (T2DM). In addition, it explores cognitive-behavioral intervention measures aimed at alleviating subthreshold depression in these patients, while also identifying existing challenges and potential directions for future research. The objective is to raise awareness among clinical managers in China regarding the symptoms of subthreshold depression in T2DM patients and to provide a reference for the development of targeted nursing interventions.

This paper reviews the risk factors and commonly used assessment tools for subthreshold depression in patients with type 2 diabetes mellitus (T2DM). In addition, it explores cognitive-behavioral intervention measures aimed at alleviating subthreshold depression in these patients, while also identifying existing challenges and potential directions for future research. The objective is to raise awareness among clinical managers in China regarding the symptoms of subthreshold depression in T2DM patients and to provide a reference for the development of targeted nursing interventions.

Objective     To analyze the clinical efficacy and survival outcome of totally thoracoscopic redo mitral valve replacement and evaluate its efficiency and safety. Methods     The clinical data of patients with totally thoracoscopic redo mitral valve replacement in Guangdong Provincial People’s Hospital between 2013 and 2019 were retrospectively analyzed. Survival analysis was performed using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to determine the risk factors for postoperative death. Results     There were 48 patients including 29 females and 19 males with a median age of 53 (44, 66) years. All the procedures were performed successfully with no conversion to median sternotomy. A total of 15, 10 and 23 patients received surgeries under non-beating heart, beating heart and ventricular fibrillation, respectively. The in-hospital mortality rate was 6.25% (3/48), and the incidence of early postoperative complications was 18.75% (9/48). Thirty-five (72.92%) patients had their tracheal intubation removed within 24 hours after the operation. The 1- and 6-year survival rates were 89.50% (95%CI 81.30%-98.70%) and 82.90%(95%CI 71.50%-96.20%), respectively. Age>65 years was an independent risk factor for postoperative death (P=0.04). Conclusion     Totally thoracoscopic redo mitral valve replacement is safe and reliable, with advantages of rapid recovery, reducing blood transfusion rate, reducing postoperative complications and acceptable long-term survival rate. It is worthy of being widely popularized in the clinic.