OBJECTIVE To evaluate the efficacy， safety and cost-effectiveness of toripalimab （Tor） combined with chemotherapy （CT） in the treatment of locally advanced or metastatic non-small cell lung cancer （NSCLC）. METHODS PubMed， the Cochrane Library， Embase， Web of Science， CBM， CNKI， Wanfang Data， and Health Technology Assessment （HTA） related websites were searched to collect the HTA reports， systematic reviews/meta-analyses and pharmacoeconomic studies of Tor+CT in the treatment of locally advanced or metastatic NSCLC from database/website inception to March 31， 2025. After data extraction and quality evaluation， the results of the included studies were analyzed descriptively. RESULTS A total of eleven studies were included， involving five systematic reviews/meta-analyses， and six pharmacoeconomic studies. Among the five systematic reviews/ meta-analyses， two were of high quality， while there was one each of moderate， low， and very low quality. All six pharmacoeconomic studies were of good quality. In terms of efficacy， compared with CT， Tor+CT significantly improved patients’ progression-free survival （PFS） and overall survival （P＜0.05）. In addition， compared with ipilimumab+CT， durvalumab， durvalumab+tremelimumab and sugemalimab+CT， Tor+CT could also improve the PFS （P＜0.05）. In terms of safety， there was no significant difference in the incidence of grade≥3 adverse events between patients receiving Tor+CT and CT （P＞0.05）； while Tor+CT had a lower incidence of grade≥3 adverse E-mail： events， compared with camrelizumab+CT， pembrolizumab+ 3233255290@qq.com ipilimumab， nivolumab+CT and atezolizumab+CT （P＜0.05）.In terms of cost-effectiveness， Tor+CT treatment had certain cost-effectiveness advantages， compared with CT. CONCLUSIONS Compared with CT， other programmed death-1/programmed death-ligand 1 inhibitors alone， or their combination with CT， Tor+CT for the treatment of locally advanced or metastatic NSCLC has good efficacy， safety and cost-effectiveness.

Hepatocellular carcinoma is one of the most common malignant tumors worldwide, posing a great threat to human health and life. Despite the tremendous progress in understanding the origin and molecular characterization of hepatocellular carcinoma, there are still few therapeutic options that can significantly increase the survival rate and improve the quality of life of patients. Protein post-translational modifications (PTMs) are regulatory mechanisms for protein activity, localization, expression, and interactions with other cellular molecules that induce changes in protein properties and functions. More and more studies have demonstrated that PTMs and immunotherapy play an important role in the development of hepatocellular carcinoma, even in the immunosurveillance of hepatocellular carcinoma and the treatment and prognosis of hepatocellular carcinoma patients. Traditional types of PTMs include phosphorylation, glycosylation, methylation, and ubiquitination. Phosphorylation affects cancer development and progression by regulating tumor cell proliferation, invasion and metastasis, and inhibiting apoptosis. There are two main types of glycosylation: O-glycosylation andN-glycosylation. Abnormal glycosylation not only promotes the proliferation and metastasis of hepatocellular carcinoma cells, but also plays an important role in immune recognition and immune escape. Common methylation modifications include DNA methylation, RNA methylation and histone methylation. Among them, histone methylation, as an important epigenetic regulatory mechanism, is of great theoretical and practical significance for understanding the mechanism of hepatocellular carcinoma as well as carrying out the corresponding prevention and immunotherapy. Ubiquitination plays an important role in the localization, metabolism, function, regulation and degradation of proteins, and it is regulated at different levels by ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), ubiquitin-conjugating enzyme (E3), and a series of deubiquitinating enzymes (DUBs) and is closely related to hepatocellular carcinoma immunotherapy. This paper begins with a brief overview of the importance of PTMs of proteins, discusses the importance of these traditional types of PTMs in hepatocellular carcinoma immunotherapy, and summarizes the most recent applications of these approaches in hepatocellular carcinoma in order to explore the mechanism of action of PTMs in hepatocellular carcinoma immunotherapy. Then, we summarize the finding that programmed death-ligand 1 (PD-L1) is associated with a variety of conventional types of PTMs, that in-depth study of the mechanisms regulating PD-L1 expression in tumor cells is expected to improve therapeutic efficacy, and that targeting PD-L1 in PTMs is expected to be a new field for exploring hepatocellular carcinoma immunotherapy in the future. Finally, we discuss the current status of research on PTMs for hepatocellular carcinoma immunotherapy and provide new insights and future research directions. In addition to the traditional types of PTMs, multiple novel PTMs have also been identified in published research reports, while the relationship between novel PTMs and hepatocellular carcinoma and the types of PTMs to other undiscovered proteins are still poorly understood, and future research will be focused on a more comprehensive knowledge and understanding of PTMs as well as on exploring new types and mechanisms of PTMs. Overall, further investigation of the role of PTMs in tumor immunity could help to discover new biomarkers and to develop more effective and personalized cancer immunotherapies and targeted therapies, expanding our understanding of cancer biology.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Objectives: Bipolar hemiarthroplasty is commonly performed to treat displaced femoral neck fractures in osteo porotic patients. This study aimed to assess the occurrence and outcomes of unplanned return visits to the emergency department (ED) within 90 days following bipolar hemiarthroplasty for displaced femoral neck fractures. Methods: The clinical data of 1322 consecutive patients who underwent bipolar hemiarthroplasty for osteoporotic femoral neck fractures at a tertiary medical center were analyzed. Data from the patients’ electronic medical records, including demographic information, comorbidities, and operative details, were collected. The risk factors and mortality rates were analyzed. Results: Within 90 days after surgery, 19.9% of patients returned to the ED. Surgery-related reasons accounted for 20.2% of the patient’s returns. Older age, a high Charlson comorbidity index score, chronic kidney disease, and a history of cancer were identified as significant risk factors for unplanned ED visits. Patients with uncemented implants had a significantly greater risk of returning to the ED due to periprosthetic fractures than did those with cemented implants (P = 0.04). Patients who returned to the ED within 90 days had an almost fivefold greater 1-year mortality rate (15.2% vs 3.1%, P < 0.001) and a greater overall mortality rate (26.2% vs 10.5%, P < 0.001). Conclusions This study highlights the importance of identifying risk factors for unplanned ED visits after bipolar hemiarthroplasty, which may contribute to a better prognosis. Consideration should be given to the use of cemented implants for hemiarthroplasty, as uncemented implants are associated with a greater risk of peri prosthetic fractures.

Based on data mining technology, the acupoints compatibility rules of acupuncture for depression diseases were explored. The randomized controlled trial (RCT) articles regarding acupuncture for depression diseases published from establishment of database to September 2nd, 2022 were searched in CNKI database, Wangfang database, VIP database, SinoMed database, PubMed, EMbase, Web of Science and Cochrane Library. The use frequency of acupoints, meridian tropism, selection of special acupoints and acupoint association rules for five common depression diseases, including primary depression, post-stroke depression, menopausal syndrome, psychoneurosis and anxiety disorder, were analyzed by Python programming language. Cytoscape software was used to analyze the acupoint association and the disease-acupoint co-occurrence network. As a result, totally 387 articles were included, and 319 acupoints prescriptions for the above five common depression diseases were extracted, involving 159 acupoints. The use frequency of acupoints was 2 574 times in total. The frequently-used acupoints were Baihui (GV 20), Sanyinjiao (SP 6), Taichong (LR 3), Neiguan (PC 6), Shenmen (HT 7), Yintang (GV 24⁺), Zusanli (ST 36), Hegu (LI 4), Sishencong (EX-HN 1) and Taixi (KI 3), etc. The frequently involved meridians were the governor vessel, foot-taiyang bladder meridian, foot-taiyin spleen meridian, and foot-jueyin liver meridian. The frequency of the special acupoints from high to low was crossing points, five-shu points, yuan-primary points, back-shu points, luo-connecting points, and eight confluent points, etc, which were often used in combination with "Baihui (GV 20)-Yintang (GV 24⁺)" (the highest degree of association). At the same time, the analysis of the co-occurrence network of depression diseases and acupoints showed that the core acupoints group of acupuncture for depression diseases were Baihui (GV 20), Taichong (LR 3), Shenmen (HT 7), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6). In conclusion, acupuncture treatment for depression diseases has gradually formed a rule of acupoint compatibility, with special acupoint as the main body and "unblocking the governor vessel, and regulating the spirit and qi " as the main therapeutic principle.
Acupuncture Points ; Acupuncture Therapy ; Data Mining ; Depression ; Meridians ; Randomized Controlled Trials as Topic

Public health interventions refer to a series of organized and specific measures implemented in specific situations to achieve goals related to improving health, preventing and controlling diseases, and more. As research on intervention measures has deepened, the classification of public health interventions has gradually developed, clarifying the nature, categories and intervention targets of these measures. This typological study can help standardize the concepts of public health interventions, develop, select, and evaluate the effectiveness of intervention measures, and improve the effectiveness of public health actions. This paper reviews the main international classification models of intervention measures, analyzes and summarizes five classification methods of public health interventions, namely, based on goals, nature, objects, hierarchies, and modes of action, and introduces relevant cases. The paper proposes that China should conduct further in-depth and systematic research on public health interventions, develop evidence-based intervention measures and practices, promote the effective transformation of intervention measures and results, and facilitate the development of public health.
Humans ; Public Health ; China

Public health interventions refer to a series of organized and specific measures implemented in specific situations to achieve goals related to improving health, preventing and controlling diseases, and more. As research on intervention measures has deepened, the classification of public health interventions has gradually developed, clarifying the nature, categories and intervention targets of these measures. This typological study can help standardize the concepts of public health interventions, develop, select, and evaluate the effectiveness of intervention measures, and improve the effectiveness of public health actions. This paper reviews the main international classification models of intervention measures, analyzes and summarizes five classification methods of public health interventions, namely, based on goals, nature, objects, hierarchies, and modes of action, and introduces relevant cases. The paper proposes that China should conduct further in-depth and systematic research on public health interventions, develop evidence-based intervention measures and practices, promote the effective transformation of intervention measures and results, and facilitate the development of public health.
Humans ; Public Health ; China

GC-MS metabolomics was used to investigate the effects of fudosteine on lung cancer A549 cells in an inflammatory microenvironment. Eleven metabolites (malic acid, isoleucine, lactose, galactinol, creatinine, gluconic acid, oleic acid, phosphate, S-carboxymethyl-L-cysteine, uridine and tagatose) were identified in the metabolomics results and could be used as biomarkers of fudosteine treatment. Pathway enrichment analysis showed that the metabolic pathways of amino acids including isoleucine, valine, leucine, glycine, serine and threonine were significantly altered, as were the metabolic pathways of carbohydrates such as galactose and pentose phosphate. Fudosteine significantly reduced the level of inflammatory factors in A549 cells and corrected the inflammatory microenvironment by interfering with the effects of amino acid metabolites and amino acid metabolism pathways. This study reveals that fudosteine may be able to inhibit the continuous inflammatory response and prevent the further progression of lung cancer by suppressing the inflammatory microenvironment.