ObjectiveTo observe the short-term and long-term efficacy of traditional Chinese medicine （TCM） surgical operations in treating mixed hemorrhoids. MethodsA multi-center retrospective cohort study was conducted， collecting clinical data from 17，831 mixed hemorrhoid surgery patients in 8 top-tier TCM hospitals in Jiangsu Province. Standardized and structured datasets were obtained through artificial intelligence models. Patients who underwent western surgical treatment were categorized into the western surgery group （11,646 cases）， and those receiving TCM surgical operations were categorized into the TCM surgery group （6185 cases）. Propensity score matching （1∶1 matching） was used to balance baseline data between groups. The primary outcome was the one-year recurrence rate， and secondary outcomes included the main symptoms （rectal bleeding， degree of prolapse） and secondary symptoms （anal distension， anal edema， wound secretion and exudation， anal stenosis， residual skin tags， perianal itching， and anal pain） measured on days 7， 28， and 60 after discharge. ResultsAfter matching， 2194 patients were included in each group. Symptom scores showed that at 28 days after discharge， the TCM surgical group had superior improvement in rectal bleeding ［OR=5.786， 95%CI （3.092，10.827）］， degree of prolapse ［OR=4.510， 95%CI （1.649，12.333）］， and anal edema ［OR=3.188， 95%CI （1.295，7.845）］ compared to the western surgical group. At 60 days post-discharge， the TCM group still showed advantages in improving rectal bleeding ［OR=5.237， 95%CI （1.077，25.464）］ and anal pain ［OR=11.697， 95%CI （1.186，115.336）］ （P＜0.05）. Long-term follow-up showed that the one-year recurrence rate in the TCM surgery group was 1.1% （8/726）， while that in the western surgery group was 2.3% （10/444）， with no statistically significant difference between the two groups （P＞0.05）. ConclusionBased on real-world data， TCM surgical treatment for mixed hemorrhoids shows significant short-term symptom improvement， particularly in terms of hemostasis， reducing swelling， and alleviating prolapse of anal masses.

This paper has constructed a traditional Chinese medicine （TCM） specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model， and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system， enabling the aggregation， cleaning， and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model， domain fine-tuning is performed through low-rank adaptation （LoRA） technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques， the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities， including symptoms and syndromes， with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients， preliminarily verifying the efficacy of TCM heritage surgery.

Objective To investigate the expression characteristics of c-MET protein in colorectal cancer (CRC) and its associations with clinicopathological parameters, MET gene amplification status, and prognosis, and to evaluate the concordance between immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) detection strategies, thereby providing evidence for patient selection for MET-targeted therapy. Methods A total of 193 formalin-fixed paraffin-embedded (FFPE) tissue samples from CRC patients were collected. Immunohistochemistry (IHC) was used to detect c-MET protein expression, and fluorescence in situ hybridization (FISH) was performed to evaluate MET gene amplification status. The associations between c-MET protein expression and clinicopathological characteristics, including KRAS, NRAS, and BRAF mutation status, as well as progression-free survival (PFS), were analyzed. The concordance between IHC and FISH detection results was also evaluated. Results c-MET protein expression was significantly higher in tumor tissues than in adjacent normal tissues (P<0.05). Significant differences in c-MET expression were observed between primary tumors and liver or peritoneal/pelvic metastatic lesions (P<0.05). The proportion of high c-MET expression was significantly higher in KRAS-mutant patients than in KRAS wild-type patients (41.38% vs. 16.92%, P<0.05). The MET gene amplification rate was 8.29% (16/193), including clustered or diffuse amplification in 1.55% (3/193) and heterogeneous amplification in 6.74% (13/193). No MET exon 14 skipping mutation or amplification was detected by next-generation sequencing (NGS). Using an IHC H-Score≥150 as the threshold, the positive percent agreement (PPA) between IHC-detected c-MET protein expression and FISH-detected MET gene amplification was 100%. All clustered MET amplification regions exhibited diffuse strong c-MET expression (IHC 3+). No statistically significant association was observed between c-MET expression level and PFS (P>0.05). Conclusion High c-MET expression may represent a potential therapeutic target for KRAS-mutant CRC patients. An H-Score ≥150 is recommended as the initial screening threshold to rapidly identify patients suitable for MET-targeted therapy, with FISH testing when necessary. Diffuse strong c-MET expression (IHC 3+) shows high concordance with clustered MET gene amplification.

OBJECTIVE To investigate the effects of ginsenosides as P-glycoprotein(P-gp)substrates in combination with paclitaxel on the proliferation and migration of colon cancer Caco-2 cells.METHODS Bio-layer interferometry(BLI)technology was used to detect the constants of ginsenosides and P-gp.Network molecular docking was adopted to predict the binding affinity energy of ginsenosides and P-gp.Caco-2 cells were divided into paclitaxel 0,6.25,12.5,25,50,100 and 200 mg·L-1 groups,ginsenoside Rg3 0,6.25,12.5,25,50,100 and 200 mg·L-1 groups,and paclitaxel 5 mg·L-1+ginsenoside Rg3 0,25,50,100 and 200 mg·L-1 groups.After 48 h of incubation,the growth inhibition rate of Caco-2 cells was detected by MTT assay,and the interaction between the two drugs was quantitatively evaluated using the"one-belt,one-line"modle.Caco-2 cells were divided into the cell control group,paclitaxel 5 mg·L-1 group,ginsenoside Rg3 50 and 100 mg·L-1 groups,and paclitaxel 5 mg·L-1+ginsenoside Rg3 50 and 100 mg·L-1 groups.After 24 h of incubation,the proliferation and migration ability of the cells were detected by colony assay and Transwell migration assay.Caco-2 cells were then divided into the cell control group,quinidine 12.5 mg·L-1 group,and ginsenoside Rg3 6.25 and 12.5 mg·L-1 groups.After 4 h of incubation,the expression levels of P-gp and total protein were detected by ELISA.RESULTS The affinity constants of ginsenoside Rb1,Rg3,Rg5 with P-gp were all less than 10-3 mol·L-1,while that of ginsenoside CK with P-gp was 10-2 mol·L-1.There was no typical binding dissociation curve between ginsenoside Re and P-gp.The absolute binding affinities of ginsenosides Rg3 and Rg5 to P-gp were determined to be 8.5 kcal·mol-1 and 7.6 kcal·mol-1,respectively.Ginsenosides mixed with PTX 5 mg·L-1 inhibited the growth of colon cancer cells through synergy and addition,and the dose range of the syner-gistic effect was[0+5,43.15+5]mg·L-1;[164.51+5,200+5]mg·L-1,the additive effect dose ranged from[43.15+5,164.51+5]mg·L-1.The combination of the two drugs could significantly reduce the proliferation and migration ability of Caco-2 cells(P<0.01).The ELISA results showed a decrease in total protein and P-gp content in both the ginsenoside and quinidine groups(P<0.05).CONCLUSION Ginsenoside bind to and inhibit the activity of P-gp,synergizing with paclitaxel to reduce the proliferative and migratory abili-ties of Caco-2 cells.The combination of ginsenosides and paclitaxel enhances the sensitivity of Caco-2 cells to paclitaxel induced inhibition.The combined use of these two substances is expected to achieve better anticancer effects compared to paclitaxel alone.

Objective:To uncover alterations in the metabolic microenvironment of lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC) and identify potential metabolic biomarkers for the early diagnosis of LNM using desorption electrospray ionization mass spectrometry imaging (DESI-MSI) spatial metabolomics.Methods:Six OSCC patients with LNM, who underwent neck dissection surgery at the Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University between October 2020 and October 2022, were enrolled. Matched metastatically involved (positive) and benign (negative) lymph node tissue samples were collected and analyzed using DESI-MSI. Univariate and multivariate statistical analyses were employed to identify differentially abundant metabolites. The diagnostic efficacy of these metabolites was evaluated using receiver operating characteristic (ROC) curve analysis. Finally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed to determine the implicated metabolic pathways.Results:A total of 62 and 29 differentially abundant metabolites were identified in the metastatically involved lymph nodes compared to benign lymph nodes under positive-ion mode and negative-ion mode, respectively. These metabolites were predominantly amino acids and lipids. Four metabolites common to both ionization modes were selected for ROC curve analysis: phenylalanine, phosphoethanolamine, histidine, and taurine. The area under the curve values were 0.861, 0.802, 0.729, and 0.722, respectively, indicating promising diagnostic performance. Metabolic pathway analysis revealed significantly heightened activity in Amino acid metabolism ( P=0.469) and Glycerophospholipid metabolism ( P=0.006) within the LNM microenvironment. Conclusions:This DESI-MSI-based study identified disruptions in amino acid and glycerophospholipid metabolism within OSCC metastatic lymph node tissues. The associated differentially abundant metabolites represent potential candidate molecules for diagnosing OSCC LNM.

Renal cancer is a common and increasingly prevalent malignancy with a complex pathogenesis influenced by genetics,smoking,and obesity.Current treatment mainly involves surgery with adjunctive chemotherapy,radiation,and immunotherapy,but high rates of recurrence and metastasis indicate its limited effectiveness,emphasizing the need for better therapeutic targets.Growing evidence indicates that epigenetic modifications,particularly RNA modifications,play a critical role in renal cancer development and progression.This review highlights recent advances in renal cancer epigenetics,focusing on RNA modifications such as N6-methyladenosine(m6 A),N7-methylguanosine(m7G),5-methylcytosine(m5C),N1-methyladenosine(m1A),adenosine-to-inosine(A-to-I),N6,2'-O-dimethyladenosine(m6Am),and N4-acetylcytidine(ac4C),along with their regulatory factors.It also explores the diagnostic and therapeutic potential of targeting RNA modifications and associated proteins.

Oral and maxillofacial tumors significantly impact human health,with oral squamous cell carcinoma(OSCC)being par-ticularly prevalent among head and neck tumors.At present,traditional research in this area has largely relied on genomics,pro-teomics,and transcriptomics,which involve the homogenization of tissue specimens and result in the loss of critical temporal and spatial tissue information.In contrast,spatial metabolomics,an emerging field,allows for the in-situ analysis of fresh tissue sam-ples,preserving this essential information.This article reviews the application of spatial metabolomics in OSCC research,highlight-ing its potential to enhance understanding of cancer pathogenesis directly within the tissue context.

Objective:To investigate the acute effects of persistent high exposure to atmospheric fine particulate matter (PM 2.5) on residents' outpatient visits for respiratory diseases. Methods:We collected daily outpatient records from 92 hospitals in 13 cities across the Beijing-Tianjin-Hebei region, along with daily PM 2.5, nitrogen dioxide (NO 2), and meteorological data from 2013 to 2018. Five persistent high PM 2.5 exposure scenarios were defined in terms of daily mean PM 2.5 concentrations (>75 μg/m 3 and >150 μg/m 3), duration (≥2 days and ≥3 days), and whether or not there was concurrent exposure to high levels of NO 2 (daily mean NO 2 concentration >50 μg/m 3). A two-stage statistical analysis strategy based on a generalized linear model was applied to conduct a time-series analysis to assess the exposure-response relationship between persistent high PM 2.5 exposure scenarios and residents' outpatient visits for a variety of respiratory diseases, and to estimate excess outpatient visits. Results:During the period, M ( Q1, Q3) PM 2.5 and NO 2 concentrations were 61.2 (42.3, 95.1) μg/m 3 and 40.2 (31.4, 54.4) μg/m 3, respectively, and the daily respiratory disease outpatient visits were 57 (52, 66) cases. When compared with non-permanent high PM 2.5 exposure periods, exposure scenarios with PM 2.5 >75 μg/m 3 and lasting for ≥2 days caused an increased risk of outpatient visits for respiratory diseases by 2.10% (95% CI: 1.44%-2.77%), and resulted in 43 787 (95% CI: 30 025-57 757) excess visits; in this scenario, the concurrent exposure to high levels of NO 2 had a greater acute effect on respiratory disease visits than the absence of exposure to high levels of NO 2 ( P<0.001). The risk of respiratory disease visits increased substantially by 4.41% (95% CI: 3.15%-5.68%) when the daily mean PM 2.5 concentration exceeded 150 μg/m 3 for ≥2 days. Subgroup disease analyses showed that scenarios with daily mean PM 2.5 concentrations exceeding 75 μg/m 3 for ≥3 days caused a significant increase in the risk of lower respiratory tract infections, chronic lower respiratory disease, and asthma visits. Conclusions:Sustained persistent high PM 2.5 exposure increases the risk of outpatient visits for various respiratory diseases; concurrent exposure to high concentrations of NO 2 leads to a greater risk of visiting the clinic, suggesting that the prevention and control of PM 2.5 pollution should be synchronized with the control of mobile source emissions, to synergistically manage the compound pollution of PM 2.5 and NO 2 in the atmosphere.

Oral and maxillofacial tumors significantly impact human health,with oral squamous cell carcinoma(OSCC)being par-ticularly prevalent among head and neck tumors.At present,traditional research in this area has largely relied on genomics,pro-teomics,and transcriptomics,which involve the homogenization of tissue specimens and result in the loss of critical temporal and spatial tissue information.In contrast,spatial metabolomics,an emerging field,allows for the in-situ analysis of fresh tissue sam-ples,preserving this essential information.This article reviews the application of spatial metabolomics in OSCC research,highlight-ing its potential to enhance understanding of cancer pathogenesis directly within the tissue context.

N7-methylguanosine(m7G)modification occurs at the 5'cap of mRNA in eukaryotes,and is also found at specific sites on tRNA and rRNA,showing wide conservation across various biological organisms.Aberrant m7G modification is involved in the dysregulation of gene expression and serves as a biomarker for multiple cancers,with significant potential for applications in tumor diagnosis and therapy.This review summarizes the biological functions and regulatory mechanisms of m7G modification,and outlines its potential clinical applications.It also highlights the oncogenic roles of aberrant m7G modification and its association with prognosis,providing a detailed discussion of the role and molecular mechanisms of abnormal m7G modification in regulating drug resistance in various cancers.