Background/Aims: Biliary tract cancer (BTC) frequently harbors KRAS mutations, which are associated with resistance to traditional treatment and a poor prognosis. Synthetic lethality (SL) strategy may provide other targets of KRAS. Therefore, we aim to identify and validate potential therapeutic targets of KRAS for the treatment of BTC via SL. Methods: The dependency (DepMap) projects were used to predict the synthetic lethal gene of KRAS. FDA-approved anticancer drug library was applied to screen potential drugs effective against KRAS-mutant BTC. Furthermore, the synthetic lethal effects or corresponding mechanisms of potential genes and drugs on BTC were investigated using KRAS-mutant and KRAS-wild type BTC cell lines, patient-derived xenografts (PDX), and KRAS oncogene-driven tumor models, as well as other KRAS-mutant cancer cell lines. Results: Initially, we discovered that the loss of GATA2 reduced the viability of KRAS-mutant but not KRAS-wild-type BTC. Subsequently, the drug library screened out disulfiram, which primarily exerts a synthetic lethal effect by inhibiting interleukin-1β (IL-1β) in KRAS-mutant BTC. Mechanistically, GATA2 specifically enhanced the transcription of IL-1β to promote NF-κB signaling in KRAS-mutant BTC. IL-1β inhibition phenocopied GATA2 deficiency, leading to reduced KRAS-mutant BTC viability. These synthetically lethal effects were confirmed using PDX, a KRAS oncogene-driven tumor model, as well as in other KRAS-mutant cancer cell lines. Conclusions In summary, these results indicate that inhibiting GATA2/IL1β could be a therapeutic strategy in KRAS-mutant BTC and potentially other cancers.

OBJECTIVE To systematically compare mature experiences of comprehensive drug value assessment in typical countries/regions and to provide decision-making references for China to establish a scientific and standardized comprehensive drug value assessment system for medical-insured drugs. METHODS The literature analysis was used to systematically review drug value assessment frameworks in 11 representative countries/regions， namely the UK， Canada， Italy， Australia， Germany， France， South Korea， Japan， the United States， as well as Taiwan （China） and Hong Kong （China）. Comparisons were made across three dimensions： assessment entities， value dimension， and application of results. RESULTS &CONCLUSIONS In most countries/regions， independent technical assessment institutions have been established as part of the drug value evaluation system， with the involvement of multiple stakeholders （e.g.， the UK， Canada）. The mainstream drug value assessment frameworks have generally transcended the traditional core dimensions of safety， efficacy， and cost-effectiveness， exhibiting two major trends： the continuous expansion of assessment dimensions and stricter evidence requirements. Assessment outcomes are closely integrated with payment policies， ranging from providing technical advice for decision-making （e.g.， Italy， France） to directly determining reimbursement eligibility （e.g.， the UK， Germany）. The following recommendations are proposed for China： first， establish an evaluation mechanism featuring multi-stakeholder participation and separation of evaluation from decision-making. Second， develop a comprehensive evaluation framework integrating clinical， economic， patient， and societal value， emphasizing quantitative indicator exploration and real-world evidence application. Third， promote direct linkage between value-based tiering outcomes and medical insurance reimbursement decisions or access negotiations to balance patient benefits， fund sustainability， and industrial innovation.

Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

At present， the systematic excavation of the clinical experience and academic thought of the Sichuan school of Chinese medicine vis-à-vis its dominant disease entities remains fragmentary， and replicable paradigms are scarce. Confronted with empirical fragmentation， data heterogeneity and decision-making subjectivity， the standardised distillation， inheritance and clinical translation of these distinctive experiences has become a critical bottleneck constraining the development of the Sichuan school. The integration of artificial-intelligence technologies in data processing， pattern recognition and intelligent decision-making has rendered deep mining of traditional Chinese medicine（TCM） clinical knowledge and patterns imperative. Constructing an intelligent modern TCM diagnostic-therapeutic-evaluative system is now the obligatory route for inheritance and innovation in Chinese medicine， and simultaneously provides a technological breakthrough for intelligent decision paradigms in the dominant diseases of the Sichuan school. Accordingly， this study adopts the regional academic school as its point of entry， focuses on the dominant diseases of the Sichuan school， and proposes an innovative pathway of "four-dimensional data-multi-modal fusion-multi-agent decision-making". Specifically， four data dimensions are defined and instantiated： （Ⅰ） knowledge from classical medical literature and historical case records. （Ⅱ） objective four-diagnosis phenotypic data. （Ⅲ） master physicians' prescribing regularities. （Ⅳ） characteristic mechanisms of renowned formulae. Leveraging multi-modal data fusion and generative artificial intelligence， the entire causal chain of Famous Physicians and Renowned Formulas is explicated to reconstruct the diagnostic-therapeutic cognitive logic of the regional school. Finally， a multi-agent collective-decision model is established and refined for the dominant diseases of the Sichuan school， capable of generating precise， individualised treatment regimens and thereby advancing an intelligent diagnostic-therapeutic paradigm that delivers more efficient and accurate clinical decision support.

In the challenging and specific military environment， medical activities are not only confined to traditional medical care but must also adapt to the special requirements of military operations. Meanwhile， when military operations employ medical interventions for treatment and research， they introduce complexities and ethical considerations inherent in the medical domain. Against this backdrop， the ethical conflicts and moral dilemmas confronted by the special identity of military doctors have become an inevitable and urgent issue requiring resolution. The identities of doctors and soldiers， typically distinct， overlap and intersect in the role of the military doctors on the battlefield， inevitably giving rise to intricate ethical predicaments that frequently place them in arduous moral choices. The special considerations in behavioral decision-making， contradictions in value judgments， and the reconciliation of moral injury among military doctors in battlefield scenarios should be comprehensively considered based on factors such as professional codes of conduct， values and emotions， international law， and humanitarian principles. Military doctors should regard respecting life as the supreme principle， while also taking into account the protection needs of special groups， and adhering to the core concept of fairness and reasonableness， all of which should serve as the fundamental guidance for their behavioral standards.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the relationship between 18F-fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography(18F-FDG PET/CT)and tumor markers and the prognosis of patients with differentiated thyroid cancer(DTC)treated with surgery combined with iodine-131,and to construct a nomogram prediction model.Methods:The clinical data of 134 patients with DTC who underwent surgery combined with iodine-131 treatment in our hospital from January 2021 to January 2023 were retrospectively analyzed.According to the prognosis after 1 year of treatment,they were divided into a good prognosis group(n=106)and a poor prognosis group(n=28).The general data,18F-FDG PET/CT related parameters[maximum standardized uptake value(SUVmax),metabolic volume(MTV),total lesion gly-colysis(TLG)]and serum tumor markers[thyroglobulin(Tg),thyroglobulin antibody(TgAb)]levels were compared between the two groups.Pearson correlation coefficient was used to analyze the correlation between the related parameters and the tumor marker levels.Logistic multivariate analysis was used to analyze the influencing factors of DTC prognosis.Re-ceiver operating characteristic curve(ROC)was used to analyze the predictive efficacy of related parameters combined with tumor markers on poor prognosis.Anomogram prediction model for poor prognosis was constructed and the predic-tive efficacy of the model was evaluated.Results:The proportion of stage Ⅲ-Ⅳ,the proportion of total resection and the levels of thyroid stimulating hormone(TSH),SUVmax,MTV,TLG,Tg and TgAb in the poor prognosis group were higher than those in the good prognosis group,and the differences were statistically significant(P<0.05).Pearson correlation co-efficient showed that SUVmax,MTV,TLG and Tg,TgAb levels were positively correlated with tumor markers(P<0.05).Lo-gistic analysis showed that after adjusting for confounding variables,SUVmax,MTV,TLG,Tg and TgAb were independent influencing factors for the poor prognosis of DTC(P<0.05).ROC analysis showed that the combination of SUVmax,MTV,TLG,Tg and TgAb was significantly better than each parameter alone in predicting poor prognosis(P<0.05).The nomo-gram prediction model was constructed.ROC evaluation showed that the model had good prediction performance.K-fold cross validation showed that the model had stable performance and good generalization ability.Conclusion:The 18F-FDG PET/CT related parameters SUVmax,MTV,TLG and tumor markers Tg and TgAb are all independent factors affecting the poor prognosis of DTC patients treated with surgery combined with iodine-131.The prognostic nomogram prediction model based on the above factors has good predictive efficacy and can be used to guide clinical decision-making.

Objective:To evaluate the application effectiveness of a training program for a nutritional support training base from the perspective of clinical nurses, and to provide a reference for optimizing and improving the training program.Methods:In October 2022, a clinical training program for nutritional support nurses was established based on the core competencies. The clinical training program was carried out from July to September 2023. The trainees who completed the training course were invited to participate in qualitative interviews to evaluate the course. The interview content was recorded, transcribed, and encoded using NVivo 11.0 software. The data were sorted and analyzed using thematic framework analysis.Results:Semi-structured qualitative interviews were conducted with 10 clinical nurses until data saturation was achieved. Three general themes and 10 sub-themes were extracted, including overall evaluation of the training course (rich, comprehensive, and reasonable training content; professional and skilled teaching team), changes brought by the course (improvement of clinical work confidence, strengthening of peer learning, enhancement of the initiative of independent learning, and identification of the factors that hinder the development of specialty), and recommendations for the course (the diversity of teaching forms, reasonable arrangement of practical training departments, increase in operational practice opportunities, establishment of online courses).Conclusions:The students had high overall evaluation on the training course of the nutritional support base. Based on their suggestions, the course can be optimized in the future by diversifying the teaching forms, rationally arranging the practical training departments, strengthening operational practices, and constructing online courses.

Objective:To evaluate the application effectiveness of a training program for a nutritional support training base from the perspective of clinical nurses, and to provide a reference for optimizing and improving the training program.Methods:In October 2022, a clinical training program for nutritional support nurses was established based on the core competencies. The clinical training program was carried out from July to September 2023. The trainees who completed the training course were invited to participate in qualitative interviews to evaluate the course. The interview content was recorded, transcribed, and encoded using NVivo 11.0 software. The data were sorted and analyzed using thematic framework analysis.Results:Semi-structured qualitative interviews were conducted with 10 clinical nurses until data saturation was achieved. Three general themes and 10 sub-themes were extracted, including overall evaluation of the training course (rich, comprehensive, and reasonable training content; professional and skilled teaching team), changes brought by the course (improvement of clinical work confidence, strengthening of peer learning, enhancement of the initiative of independent learning, and identification of the factors that hinder the development of specialty), and recommendations for the course (the diversity of teaching forms, reasonable arrangement of practical training departments, increase in operational practice opportunities, establishment of online courses).Conclusions:The students had high overall evaluation on the training course of the nutritional support base. Based on their suggestions, the course can be optimized in the future by diversifying the teaching forms, rationally arranging the practical training departments, strengthening operational practices, and constructing online courses.

Objective:To systematically evaluate the current status and methodological quality of guideline and consensus in ovarian stimulation for in vitro fertilization (IVF), and to provide reference for the development of future guidelines and research. Methods:A systematic search was conducted in databases including PubMed, Embase, CNKI, Wanfang, Sinomed and relevant guideline websites from inceptions to October 2024. Data were extracted from the literature that met the inclusion criteria, and methodological quality was assessed using the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) tool. Descriptive analysis was performed with results presented in visual data charts.Results:A total of 23 studies were included, with 8 guidelines and 15 consensus. Totally 21 (91.3%) studies focused on the selection of ovarian stimulation protocols, with the majority concentrating on protocols for patients undergoing IVF treatment for the first cycle, and 12 (52.2%) studies focused on the selection of gonadotropin starting dosage. In terms of methodology, the average standardized scores in the 6 assessment domains of the AGREE Ⅱ tool were as follows: scope and purpose (85.1%), stakeholder involvement (66.6%), rigour of development (36.5%), clarity of presentation (70.1%), applicability (36.4%), and editorial independence (46.2%).Conclusion:Current recommendations in ovarian stimulation for IVF exhibit inconsistencies, and the methodological quality varies, which partially hinders the translation of evidence into clinical practice. Future research should further focus on the selection of ovarian stimulation protocols and gonadotropin starting dosage, promoting the update and refinement of guidelines and consensus to guide the precise treatment of ovarian stimulation.