Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

Objective : To explore the factors influencing the efficacy of first-generation EGFR tyrosine kinase inhibitors(EGFR-TKIs) in patients with EGFR-mutated advanced lung adenocarcinoma and to construct and validate a corresponding nomogram prediction model. Methods : A total of 220 patients with EGFR-mutated advanced lung adenocarcinoma treated with icotinib were enrolled and randomly divided into a training group(154 cases) and a validation group(66 cases) in a 7 ∶3 ratio. Cox regression analysis was performed to identify factors affecting the efficacy of first-generation EGFR-TKIs in the training group. A prediction model was constructed, and calibration curves and receiver operating characteristic(ROC) curves were plotted to validate the model′s performance. Results: In the training group, the objective response rate was 35.71%, the disease control rate was 77.27%, the median progression-free survival(PFS) was 12.5 months, the median overall survival was 18 months, the 2-year OS rate was 66.23%, and the PFS rate was 42.21%. Univariate analysis showed that brain metastasis, bone metastasis, TNM stage, differentiation degree, neutrophil-to-lymphocyte ratio(NLR), post-treatment p53 levels, p53 difference(Δp53), post-treatment cancer antigen gene(CAGE) levels, and CAGE difference(ΔCAGE) were associated with PFS(P2=4.429, P=0.351). ROC curve analysis in the training group showed that the nomogram model had a sensitivity of 80.00%, specificity of 77.53%, and AUC of 0.864 for predicting therapeutic efficacy, while the validation group showed a sensitivity of 74.08%, specificity of 71.43%, and AUC of 0.835. Conclusion Changes in lung cancer autoantibodies(Δp53 and ΔCAGE), TNM stage, and NLR are key factors influencing the efficacy of first-generation EGFR-TKIs in EGFR-mutated advanced lung adenocarcinoma. The nomogram prediction model based on p53 and CAGE demonstrates good predictive performance.

Objective:To analyze the clinical significance of molecular classification and hereditary phenotype in endometrial carcinoma (EC) based on high throughput sequencing (NGS).Methods:97 EC samples were collected retrospectively from December 2019 to October 2022 in China-Japan Friendship Hospital. NGS technique was used to analyze the molecular classification, POLE hypermutation, microsatellite high Instability/mismatch repair dysfunction (MSI-H/MMRd), P53 protein abnormality (P53 abn), and non-specific molecular profile (NSMP). Lynch syndrome related genes and BRCA1/2 genes were detected by NGS and their genetic characteristics were analyzed. Results:Of the 97 EC cases, 77 were endometrial adenocarcinoma and 20 were other pathological subtypes. The proportions of the four molecular subtypes were 9.3% (9/97) POLE hypermutation, 16.5% (16/97) MSI-H, 17.5% (17/97) P53 abn and 56.7% (55/97) NSMP, respectively. There were significant differences in age, histological type, lymph node metastasis, pathological stage and other parameters among the four molecular types ( P＜0.05). 8.2% (8/97) were multiple molecular typing and four multiple molecular typings detected, including POLEmut-MSI-H, POLEmut-P53abn, MSI-H-P53abn, P53abn-P53abn, which accounted for 1.0% (1/97), 3.1% (3/97), 1.0% (1/97) and 3.1% (3/97), respectively. The consistent rate of MSI-H and MMR protein expression was 92.9% ( Kappa=0.818, P＜0.001). The coincidence rate between TP53 gene sequencing and P53 protein expression was 88.9% ( Kappa=0.661, P＜0.001). In MSI-H type, 25.0% (4/16) were diagnosed as Lynch syndrome, and 75.0% (12/16) were diagnosed as Lynch like syndrome. 7.2% (7/97) BRCA2 somatic variation was detected, while BRCA1/2 germline variation was not detected in 97 cases. Conclusions:EC molecular classification has feasibility and clinical value. High throughput sequencing can detect low frequency mutations of TP53 gene, suggesting that it can provide more accurate molecular information and more accurate molecular typing effect. It is suggested to further detect Lynch syndrome related genes in patients with MSI-H, so as to carry out genetic management for patients and their families and achieve better therapeutic effect.

Objective:To conduct enrichment and biological behavior studies on CD44 + CD24 - triple-negative breast cancer (TNBC) stem-like cells, and to construct 68Ga-labeled CD44 peptide ( 68Ga-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-CD44p) and evaluate its targeting ability towards the surface marker CD44 of TNBC stem-like cells. Methods:Suspension sphere culture method was utilized to enrich and cultivate CD44 + CD24 - cell subpopulations from TNBC cell line MDA-MB-231 and non-TNBC cell line MCF-7. Flow cytometry was used to detect the expression of stem cell markers of different groups, cell scratch assay was performed to assess the migration ability of CD44 + CD24 - cell subpopulations, and Transwell invasion assay was performed to evaluate the invasion ability of CD44 + CD24 - cell subpopulations. 68Ga-NOTA-CD44p was prepared, followed by purification and identification with high-performance liquid chromatography (HPLC). The targeting ability of 68Ga-NOTA-CD44p towards CD44 + TNBC cells was evaluated through cellular uptake and blocking experiments. Data were analyzed by independent-sample t test, one-way analysis of variance and the least significant difference t test. Results:Suspension sphere culture successfully enriched CD44 + CD24 - TNBC stem-like cell spheres. Compared to the non-TNBC cell line MCF-7, TNBC cell line MDA-MB-231 exhibited better sphere-forming ability (18.50±3.73 vs 31.83±4.92; t=5.29, P<0.001) and a higher proportion of CD44 + CD24 - cell subset ((24.97±8.12)% vs (90.93±4.46)%; F=170.10, t=14.93, both P<0.001). The wound healing rate ((71.00±11.00)% vs (28.33±4.16)%; F=42.91, t=8.02, both P<0.001) and invasion rate ((60.60±16.87)% vs (24.16±8.15)%; F=11.83, t=4.40, both P<0.01) of CD44 + CD24 - MDA-MB-231 group cells were significantly increased compared to the CD44 + CD24 - MCF-7 group. MDA-MB-231 cells showed strong uptake ability of 68Ga-NOTA-CD44p, which decreased after CD44p blocking. Conclusions:Compared to CD44 + CD24 - MCF-7 cells, CD44 + CD24 - MDA-MB-231 cells exhibit higher malignant biological behavior. 68Ga-NOTA-CD44p targets the surface marker CD44 of TNBC stem-like cells, laying the research foundation for targeted therapy against TNBC with tumor stem cells as targets.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To conduct enrichment and biological behavior studies on CD44 + CD24 - triple-negative breast cancer (TNBC) stem-like cells, and to construct 68Ga-labeled CD44 peptide ( 68Ga-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-CD44p) and evaluate its targeting ability towards the surface marker CD44 of TNBC stem-like cells. Methods:Suspension sphere culture method was utilized to enrich and cultivate CD44 + CD24 - cell subpopulations from TNBC cell line MDA-MB-231 and non-TNBC cell line MCF-7. Flow cytometry was used to detect the expression of stem cell markers of different groups, cell scratch assay was performed to assess the migration ability of CD44 + CD24 - cell subpopulations, and Transwell invasion assay was performed to evaluate the invasion ability of CD44 + CD24 - cell subpopulations. 68Ga-NOTA-CD44p was prepared, followed by purification and identification with high-performance liquid chromatography (HPLC). The targeting ability of 68Ga-NOTA-CD44p towards CD44 + TNBC cells was evaluated through cellular uptake and blocking experiments. Data were analyzed by independent-sample t test, one-way analysis of variance and the least significant difference t test. Results:Suspension sphere culture successfully enriched CD44 + CD24 - TNBC stem-like cell spheres. Compared to the non-TNBC cell line MCF-7, TNBC cell line MDA-MB-231 exhibited better sphere-forming ability (18.50±3.73 vs 31.83±4.92; t=5.29, P<0.001) and a higher proportion of CD44 + CD24 - cell subset ((24.97±8.12)% vs (90.93±4.46)%; F=170.10, t=14.93, both P<0.001). The wound healing rate ((71.00±11.00)% vs (28.33±4.16)%; F=42.91, t=8.02, both P<0.001) and invasion rate ((60.60±16.87)% vs (24.16±8.15)%; F=11.83, t=4.40, both P<0.01) of CD44 + CD24 - MDA-MB-231 group cells were significantly increased compared to the CD44 + CD24 - MCF-7 group. MDA-MB-231 cells showed strong uptake ability of 68Ga-NOTA-CD44p, which decreased after CD44p blocking. Conclusions:Compared to CD44 + CD24 - MCF-7 cells, CD44 + CD24 - MDA-MB-231 cells exhibit higher malignant biological behavior. 68Ga-NOTA-CD44p targets the surface marker CD44 of TNBC stem-like cells, laying the research foundation for targeted therapy against TNBC with tumor stem cells as targets.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To analyze the clinical significance of molecular classification and hereditary phenotype in endometrial carcinoma (EC) based on high throughput sequencing (NGS).Methods:97 EC samples were collected retrospectively from December 2019 to October 2022 in China-Japan Friendship Hospital. NGS technique was used to analyze the molecular classification, POLE hypermutation, microsatellite high Instability/mismatch repair dysfunction (MSI-H/MMRd), P53 protein abnormality (P53 abn), and non-specific molecular profile (NSMP). Lynch syndrome related genes and BRCA1/2 genes were detected by NGS and their genetic characteristics were analyzed. Results:Of the 97 EC cases, 77 were endometrial adenocarcinoma and 20 were other pathological subtypes. The proportions of the four molecular subtypes were 9.3% (9/97) POLE hypermutation, 16.5% (16/97) MSI-H, 17.5% (17/97) P53 abn and 56.7% (55/97) NSMP, respectively. There were significant differences in age, histological type, lymph node metastasis, pathological stage and other parameters among the four molecular types ( P＜0.05). 8.2% (8/97) were multiple molecular typing and four multiple molecular typings detected, including POLEmut-MSI-H, POLEmut-P53abn, MSI-H-P53abn, P53abn-P53abn, which accounted for 1.0% (1/97), 3.1% (3/97), 1.0% (1/97) and 3.1% (3/97), respectively. The consistent rate of MSI-H and MMR protein expression was 92.9% ( Kappa=0.818, P＜0.001). The coincidence rate between TP53 gene sequencing and P53 protein expression was 88.9% ( Kappa=0.661, P＜0.001). In MSI-H type, 25.0% (4/16) were diagnosed as Lynch syndrome, and 75.0% (12/16) were diagnosed as Lynch like syndrome. 7.2% (7/97) BRCA2 somatic variation was detected, while BRCA1/2 germline variation was not detected in 97 cases. Conclusions:EC molecular classification has feasibility and clinical value. High throughput sequencing can detect low frequency mutations of TP53 gene, suggesting that it can provide more accurate molecular information and more accurate molecular typing effect. It is suggested to further detect Lynch syndrome related genes in patients with MSI-H, so as to carry out genetic management for patients and their families and achieve better therapeutic effect.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.