[摘 要] 目的：探讨m6A调控因子在宫颈癌预后评估、免疫微环境特征及治疗反应中的作用，构建基于m6A调控因子的预后风险模型，并分析其与免疫浸润、药物敏感性及细胞间通信的关系。方法：基于TCGA和GEO数据库中宫颈鳞癌及腺癌（CESC）转录组数据，分析22个m6A调控因子的表达与突变情况；采用LASSO‑Cox回归构建m6A相关预后风险模型，并依据风险评分将患者分为高、低风险组。利用CIBERSORT和ESTIMATE算法评估两组免疫细胞浸润及微环境特征；通过oncoPredict预测抗肿瘤药物敏感性。整合单细胞转录组数据（E-MTAB-12305），采用CellChat分析细胞间通信网络。结果：共鉴定出12个在宫颈癌中差异表达的m6A调控因子。高风险组患者总生存期缩短（P < 0.05），免疫评分降低，且对紫杉醇、氟尿嘧啶、多柔比星等抗肿瘤药物敏感性较差（IC50较高）。单细胞分析显示宫颈癌组织中细胞间通信网络发生改变，其中T细胞与内皮/上皮细胞间的相互作用可能主要由CCL5‑ACKR1和MIF‑（CD74 + CXCR4）配体‑受体介导。在临床样本中，对关键的m6A调控因子进行mRNA和蛋白水平的验证，结果显示部分调控因子在宫颈癌组织中的表达水平高于正常宫颈组织（P < 0.05）。结论：m6A调控因子特征可有效预测宫颈癌患者预后，其风险评分与肿瘤免疫浸润、药物敏感性及细胞通信密切相关，为宫颈癌的预后分层及个体化治疗提供了新的分子依据。

Objective To construct an evaluation index system of organizational resilience of county medical alliance,and to propose countermeasures and suggestions for the enhancement of organizational resilience and operational effectiveness of county medical alliance.Methods The initial evaluation index system was constructed based on literature research and semi-structured interviews.Two rounds of Delphi expert consultation combined with critical value method refined the evaluation indexs.Evaluation index weights were determined via analytic hierarchy process and multiplicative weighting.The system was empirically tested using Zhejiang Province data.Results 21 experts completed consultations.Then the evaluation index system of county medical alliance organizational resilience was formed,which contains 5 first-level indexes,15 second-level indexes and 43 third-level indexes,containing 19 subjective and 24 objective evaluation indexs.The overall evaluation score of the organizational resilience of county medical alliance in Zhejiang Province was 73.97,which was at the average level of resilience.Conclusion The evaluation index system of organizational resilience of county medical alliance fits in with the national development plan to promote the construction of county high-quality,efficient and integrated medical and healthcare service system,and can provide effective measurement tools and theoretical references for the organizational capacity of county medical alliance and their maturity evaluation.

Objective To investigate the application value of clinical-radiomics nomogram in predicting the expression of liver kinase B1(LKB1)in non-small cell lung cancer(NSCLC)before surgery.Methods A total of 140 NSCLC patients were randomized into training group(n=106)and validation group(n=34)according to the ratio of 7∶3.The training group was used as the study cohort to screen the clinically independent predictors and radiomics characteristics related to LKB1 expression,and the clinical model,radiomics model and clinical-radiomics nomogram model were constructed,respectively.The predictive performance of the three models was analyzed using the receiver operating characteristic(ROC)curve in the training group,and validated in the validation group.The calibration curve was used to assess the consistency between the predicted results of nomogram model and the actual observations,and the decision curve was used to evaluate the clinical benefit of the nomogram model.Results The clinical model consisted of pathological type and hilal/mediastinal lymphadenopathy,the radiomics model consisted of Radiomics score(Radscore),and the nomogram model consisted of Radscore,pathological type and hilal/mediastinal lymphadenopathy.In the training group,the area under the curve(AUC)of the nomogram model,radiomics model and clinical model was 0.884,0.843 and 0.788,respectively.In the validation group,the AUC of the three models were 0.976,0.851,and 0.912,respectively.The calibration curve analysis showed good consis-tency between the predicted results of nomogram model and the actual observations,and the decision curve showed that the model had good clinical benefit.Conclusion Radiomics combined with clinical risk factors can effectively predict the expression of LKB1 in NSCLC patients before surgery,so as to contribute to the formulation of therapeutic strategies in clinical practice.

Objective To investigate the application value of clinical-radiomics nomogram in predicting the expression of liver kinase B1(LKB1)in non-small cell lung cancer(NSCLC)before surgery.Methods A total of 140 NSCLC patients were randomized into training group(n=106)and validation group(n=34)according to the ratio of 7∶3.The training group was used as the study cohort to screen the clinically independent predictors and radiomics characteristics related to LKB1 expression,and the clinical model,radiomics model and clinical-radiomics nomogram model were constructed,respectively.The predictive performance of the three models was analyzed using the receiver operating characteristic(ROC)curve in the training group,and validated in the validation group.The calibration curve was used to assess the consistency between the predicted results of nomogram model and the actual observations,and the decision curve was used to evaluate the clinical benefit of the nomogram model.Results The clinical model consisted of pathological type and hilal/mediastinal lymphadenopathy,the radiomics model consisted of Radiomics score(Radscore),and the nomogram model consisted of Radscore,pathological type and hilal/mediastinal lymphadenopathy.In the training group,the area under the curve(AUC)of the nomogram model,radiomics model and clinical model was 0.884,0.843 and 0.788,respectively.In the validation group,the AUC of the three models were 0.976,0.851,and 0.912,respectively.The calibration curve analysis showed good consis-tency between the predicted results of nomogram model and the actual observations,and the decision curve showed that the model had good clinical benefit.Conclusion Radiomics combined with clinical risk factors can effectively predict the expression of LKB1 in NSCLC patients before surgery,so as to contribute to the formulation of therapeutic strategies in clinical practice.

Objective To construct an evaluation index system of organizational resilience of county medical alliance,and to propose countermeasures and suggestions for the enhancement of organizational resilience and operational effectiveness of county medical alliance.Methods The initial evaluation index system was constructed based on literature research and semi-structured interviews.Two rounds of Delphi expert consultation combined with critical value method refined the evaluation indexs.Evaluation index weights were determined via analytic hierarchy process and multiplicative weighting.The system was empirically tested using Zhejiang Province data.Results 21 experts completed consultations.Then the evaluation index system of county medical alliance organizational resilience was formed,which contains 5 first-level indexes,15 second-level indexes and 43 third-level indexes,containing 19 subjective and 24 objective evaluation indexs.The overall evaluation score of the organizational resilience of county medical alliance in Zhejiang Province was 73.97,which was at the average level of resilience.Conclusion The evaluation index system of organizational resilience of county medical alliance fits in with the national development plan to promote the construction of county high-quality,efficient and integrated medical and healthcare service system,and can provide effective measurement tools and theoretical references for the organizational capacity of county medical alliance and their maturity evaluation.

Objective:To explore the influencing factors and implementation paths of medical and preventive integration of chronic disease in county medical communities (CMCs), providing references for further promoting the integration of medical and prevention and improving the collaborative mechanism of medical and prevention.Methods:From October to November 2023, based on the principle of geographically balanced sampling, medical staff from 6 leading hospitals and 18 other member units of 6 CMCs in Zhejiang Province were selected as survey subjects. A self-designed survey questionnaire was conducted, mainly including the development and evaluation of chronic disease medical and preventive integration services in CMCs. The service development was designed according to the collaborative symbiosis management model, including 4 dimensions of collaborative symbiosis scenarios, willingness, ability, and process, as well as 11 secondary elements. Using secondary elements as the conditional variables and the integration effect of chronic disease medical and prevention as the outcome variable, a qualitative comparative analysis method was used to explore the relationship between multiple conditional variables and their combinations with high integration effect of chronic disease medical and prevention.Results:571 valid questionnaires were collected, with an effective response rate of 96.62%. The consistency of a single secondary element(including conditional non sets) on the high effectiveness of medical and preventive integration was less than 0.9, which cannot constitute a necessary condition for explaining the outcome variable. The configuration analysis results showed that the consistency of the condition combination formed by the interaction of multiple secondary elements was 0.835-0.845, indicating that the condition combination of multiple elements constituted a sufficient non necessary condition for the high integration effect of chronic disease medical and prevention. The configuration path for achieving high integration of medical and preventive effects could be divided into four categories, among which the feature of scenario-process dominance was to create a perfect service scenario and service process as the main focus; The characteristic of the willingness-process dominant type was to stimulate the service willingness of medical staff and improve the service process as the leading factor; The characteristic of the scenario-willingness-ability dominant type was to create a comprehensive service scenario, stimulate the service willingness of medical staff, and enhance service capabilities as the main focus; The characteristic of the willingness-ability-process dominant type was to stimulate the service willingness of medical staff, enhance service capabilities, and improve the service process as the dominant factor. In addition, the four types of configuration paths mentioned above all covered the two secondary elements of endogenous dynamics and professional competence, with a total coverage of 0.626 and a total consistency of 0.821.Conclusions:The configuration path formed through the interaction of multiple elements can effectively achieve the integration of chronic disease medical and prevention. The CMCs should choose the appropriate configuration path based on the actual situation. In addition, special attention should be paid to the endogenous motivation and professional capacity building of medical staff.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.