Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechanisms and molecular biology is needed. To address this, we used single-cell transcriptomics (scRNA-seq) and spatial transcriptomics (ST) to highlight the pivotal role of tumor-associated neutrophils (TANs) among tumor-infiltrating immune cells and their therapeutic response to MTC. MNDA⁺ TANs with anti-tumor activity (N1-phenotype) are found to be abundantly infiltrated by MTC with benefit of increased blood perfusion, and these TANs are characterized by enhanced cytotoxicity, ameliorated hypoxia, and upregulated IL1B, activating T&NK cells and fibroblasts via IL1B-IL1R. In this highly anti-tumor immunogenic and hypoxia-reversed microenvironment under MTC, fibroblasts accumulated in the tumor front (TF) can recruit N1-TANs via CXCL2-CXCR2 and clear N2-TANs (pro-tumor phenotype) via CXCL12-CXCR4, which results in the aggregation of N1-TANs and extracellular matrix (ECM) deposition. In addition, we construct an N1-TANs marker, MX2, which positively correlates with better prognosis in LSCC patients, and employ deep learning techniques to predict expression of MX2 from hematoxylin-eosin (H&E)-stained images so as to conveniently guide decision making in clinical practice. Collectively, our findings demonstrate that the N1-TANs/fibroblasts defense wall formed in response to MTC effectively combat LSCC.
Humans ; Neutrophils/metabolism* ; Single-Cell Analysis ; Lip Neoplasms/genetics* ; Hyperthermia, Induced/methods* ; Microwaves/therapeutic use* ; Transcriptome ; Carcinoma, Squamous Cell/immunology* ; Tumor Microenvironment

OBJECTIVE To optimize the prescription pre-review system in our hospital and evaluate its application effects. METHODS Aiming at the problems of imperfect rule base and high false positive rate in the early operation of the system， optimization measures were taken， including improving the content of the rule base， adjusting the interception level and prompt mode， refining the working model of prescription review pharmacists， and strengthening clinical communication. A retrospective cohort study was conducted， with prescription data from June to December 2023 （before optimization） as the control group and June to December 2024 （after optimization） as the observation group. Through inter group comparative analysis， the actual effect of optimizing the prescription pre-approval system was evaluated. RESULTS The prescription qualified rate increased from （82.51± 4.04）% before optimization to （90.98±1.55）% after optimization； the false positive rate decreased from （20.87±1.64）% before optimization to （7.41±2.04）% after optimization. The monthly range of prescription qualified rate narrowed from 10.24% to 4.11%， and the coefficient of variation decreased from 4.92% to 1.73%. The monthly range of false positive rate slightly increased from 4.40% to 5.34%， the coefficient of variation rose from 8.32% to 26.18%. CONCLUSIONS Through multi-dimensional optimizations of the prescription pre-review system in our hospital， its prescription review efficiency has been significantly enhanced， the quality of prescriptions has steadily improved， and the accuracy of reviews has notably improved.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Objective:To investigate the application value of scenario simulation combined with standardized patient teaching in the training of doctor-patient communication skills among interns.Methods:A total of 110 clinical medicine interns were selected from Qilu Hospital of Shandong University and were divided into experimental group and control group using a random number table, with 55 interns in each group. The interns in the control group received traditional lecturing, and those in the experimental group received scenario simulation combined with standardized patient case-based teaching. The SEGUE Communication Skill Evaluation Scale and Patient Satisfaction Questionnaire were used to assess the improvement in communication skills in both groups, and Physician Self-Evaluation Scale and Course Satisfaction Questionnaire were used to assess the effectiveness of the course and the degree of satisfaction with the course. SPSS 26.0 was used for the t-test, the Mann-Whitney U test, and the rank sum test. Results:After training, both groups showed significant improvements in communication skills and patient satisfaction [experimental group in terms of communication skills: (55.38±13.11) vs. (74.82±6.75), P<0.001; experimental group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 81.00 (79.00, 83.00), P<0.01; control group in terms of communication skills: (56.53±12.34) vs. (65.45±10.18), P<0.001; control group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 73.00 (68.00, 77.00), P<0.001], and the experimental group had significantly higher scores than the control group [communication skills: (74.82±6.75) vs. (65.45±10.18), P<0.001; patient satisfaction: 81.00 (79.00, 83.00) vs. 73.00 (68.00, 77.00), P<0.001]. The Physician Self-Evaluation Scale showed that the experimental group had a significant improvement compared with the control group ( P<0.05). The results of the Course Satisfaction Questionnaire showed that the degree of overall satisfaction of the course was only 87.28% in the control group, while all the interns in the experimental group were satisfied with the course ( P<0.001); the new teaching method showed great advantages ( P<0.001). Conclusions:In the training of doctor-patient communication skills among interns, the application of scenario simulation combined with standardized patient case-based teaching can significantly improve their abilities of the application of knowledge application, humanistic concern, and communication skills, and therefore, it is an effective and promising method for the training of doctor-patient communication skills.

Objective:To investigate the application value of scenario simulation combined with standardized patient teaching in the training of doctor-patient communication skills among interns.Methods:A total of 110 clinical medicine interns were selected from Qilu Hospital of Shandong University and were divided into experimental group and control group using a random number table, with 55 interns in each group. The interns in the control group received traditional lecturing, and those in the experimental group received scenario simulation combined with standardized patient case-based teaching. The SEGUE Communication Skill Evaluation Scale and Patient Satisfaction Questionnaire were used to assess the improvement in communication skills in both groups, and Physician Self-Evaluation Scale and Course Satisfaction Questionnaire were used to assess the effectiveness of the course and the degree of satisfaction with the course. SPSS 26.0 was used for the t-test, the Mann-Whitney U test, and the rank sum test. Results:After training, both groups showed significant improvements in communication skills and patient satisfaction [experimental group in terms of communication skills: (55.38±13.11) vs. (74.82±6.75), P<0.001; experimental group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 81.00 (79.00, 83.00), P<0.01; control group in terms of communication skills: (56.53±12.34) vs. (65.45±10.18), P<0.001; control group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 73.00 (68.00, 77.00), P<0.001], and the experimental group had significantly higher scores than the control group [communication skills: (74.82±6.75) vs. (65.45±10.18), P<0.001; patient satisfaction: 81.00 (79.00, 83.00) vs. 73.00 (68.00, 77.00), P<0.001]. The Physician Self-Evaluation Scale showed that the experimental group had a significant improvement compared with the control group ( P<0.05). The results of the Course Satisfaction Questionnaire showed that the degree of overall satisfaction of the course was only 87.28% in the control group, while all the interns in the experimental group were satisfied with the course ( P<0.001); the new teaching method showed great advantages ( P<0.001). Conclusions:In the training of doctor-patient communication skills among interns, the application of scenario simulation combined with standardized patient case-based teaching can significantly improve their abilities of the application of knowledge application, humanistic concern, and communication skills, and therefore, it is an effective and promising method for the training of doctor-patient communication skills.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

To evaluate the accuracy of contrast-enhanced ultrasound diagnostic reports for pancreatic lesions.

ObjectiveTo elucidate the pharmacodynamic substances responsible for the anti-inflammatory and analgesic effects of Cyperi Rhizoma by structure-activity omics. MethodOn the basis of the previous in vitro efficacy study by our research group， this study explored the in vivo efficacy of the flavonoids in Cyperi Rhizoma. The flavonoids in Cyperi Rhizoma and their targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， PharmMapper， Swiss TargetPrediction， and available articles. The targets of the anti-inflammatory and analgesic effects were collected from DisGeNET and Online Mendelian Inheritance in Man （OMIM）. The common targets shared by flavonoids and the effects were selected as the direct targets of flavonoids endowing Cyperi Rhizoma with anti-inflammatory and analgesic effects， and protein-protein interaction （PPI） network of the core targets was constructed. The method of structure-activity omics was employed to correlate the structure and efficacy of one or more classes of chemical components in Cyperi Rhizoma with the targets as a bridge. The components were classified according to structure. Molecular docking of components to core targets was carried out via SYBYL-X 2.1.1， PyMol， and Discovery Studio 4.5 visualizer. Two targets with the highest binding affinity were selected to explore the relationship between compound structures and targets. ResultThe flavonoids in Cyperi Rhizoma exerted anti-inflammatory and analgesic effects on the mouse model of pain induced by formaldehyde. Eighteen components and 115 direct targets were screened out， and the core targets with high activities were protein kinase B1 （Akt1）， interleukin-1β （IL-1β）， cellular tumor antigen p53 （TP53）， prostaglandin-endoperoxide synthase 2 （PTGS2）， and matrix metalloproteinase-9 （MMP-9）. According to the structures， the flavonoids in Cyperi Rhizoma were classified into bioflavonoids， flavonols， flavones， and flavanes. The molecular docking results showed that flavonoids of Cyperi Rhizoma had the highest binding affinity to TP53 and PTGS2. The results of structure-activity omics showed that bioflavonoids represented the best binding structure to the targets， while their polyhydroxyl etherification resulted in a significant decrease in the binding affinity to PTGS2. Glycosides had higher binding affinity to PTGS2. The introduction of the long-chain hydrocarbon group to the A ring of flavonols facilitated the binding to TP53， while the change of B ring substituents was not the main factor affecting the binding affinity. The 3，4-dihydroxyl flavane outperformed 3-hydroxyl flavane in the binding to TP53， while the two compounds showed similar binding affinity to PTGS2. ConclusionThe method of structure-activity omics was used to analyze the material basis for the anti-inflammatory and analgesic effects of flavonoids in Cyperi Rhizoma. Structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo reveal the pharmacodynamic substances for the anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma by structure-activity omics. MethodOn the basis of the previous study about the screening of active components in vitro， this study explored the effects of flavonoids in Glycyrrhizae Radix et Rhizoma in vivo. The flavonoids in Glycyrrhizae Radix et Rhizoma and their direct targets for the anti-inflammatory and analgesic effects were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， PharmMapper， Swiss TargetPrediction， DisGeNET， and Online Mendelian Inheritance in Man （OMIM）. STRING and Cytoscape 3.7.2 were employed to establish the protein-protein interaction （PPI） network of key targets. Molecular docking was performed to simulate the binding of five targets with high degrees to flavonoids in Glycyrrhizae Radix et Rhizoma， on the basis of which the key core targets were selected. The targets were used as a bridge to correlate the structures and effects of one or more classes of chemical components in Glycyrrhizae Radix et Rhizoma. According to the binding affinity between flavonoids with different structures in Glycyrrhizae Radix et Rhizoma and targets， the relationships between compound structures and core targets were discussed. ResultThe flavonoids in Glycyrrhizae Radix et Rhizoma reduced the content of prostaglandin E₂ （PGE₂） in the rat model of pain induced by formalin， demonstrating definite anti-inflammatory and analgesic effects. Sixty active compounds （flavonoids） with anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma were obtained. With the total score as the standard， prostaglandin-endoperoxide synthase 2 （PTGS2） and mitogen-activated protein kinase 3 （MAPK3） were selected as the key core targets of Glycyrrhizae Radix et Rhizoma for the anti-inflammatory and analgesic effects. Except that flavones showed selectivity of binding to MAPK3， the other flavonoids of Glycyrrhizae Radix et Rhizoma showed strong binding to PTGS2 and MAPK3， and the structures containing glycoside fragments showed stronger binding affinity to the targets. The introduction of chain olefins in the ring of chalcones facilitated the binding to the targets. The isopentenyl fragment in flavonols may cause the difference in binding affinity. The parallel combination of a ring into pyran ring in flavanes was not conducive to the binding to the target. The electric charge， liposolubility， and steric hindrance of the substituent group on the B ring of isoflavones directly affected the binding affinity. ConclusionThis study adopts structure-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma. Structure-activity omics provides new ideas and methods for predicting the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo identify the pharmacodynamic substances for the anti-inflammatory and analgesic effects of Bupleuri Radix by structure-activity omics. MethodA mouse model of pain was established with formaldehyde to examine the anti-inflammatory and analgesic effects of saikosaponins in vivo. The core targets of the active components in Bupleurum Radix for the anti-inflammatory and analgesic effects were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Online Mendelian Inheritance in Man （OMIM）， and Search Tool for Recurring Instances of Neighbouring Genes （STRING）. The key core targets with high binding affinity were screened based on the comprehensive score in the molecular docking between different types of saikosaponins and core targets. The structure-activity relationship was discussed and analyzed based on the binding of compounds to pharmacodynamic targets. ResultSaikosaponins alleviated the foot swelling induced by formaldehyde and reduced the content of prostaglandin E₂ （PGE₂） in the mouse model， showcasing a significant inhibitory effect on the inflammatory pain caused by PGE₂. Nine components and 39 targets of saikosaponins， as well as 3 074 targets of anti-inflammatory and analgesic effects were screened out， and 22 common targets shared by saikosaponins and the effects were obtained as the direct targets. The protein-protein interaction （PPI） analysis showed that the main active components of Bupleurum Radix were saikosaponins a， b₁， b₂， b₃， c， d， e， f， and v， and the key targets were fms-related receptor tyrosine kinase 1 （FLT1）， kinase insert domain receptor （KDR）， fibroblast growth factor 2 （FGF2）， vascular endothelial growth factor A （VEGFA）， and signal transducer and activator of transcription 3 （STAT3）. Molecular docking between saikosaponins and the top 5 targets with high degrees in PPI network analysis revealed 25 highly active docks， including 6 docks with scores of 5-6 and 18 docks with scores above 6. ConclusionThis study adopted structural-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of Bupleuri Radix in vivo， providing new ideas and methods for identifying the pharmacodynamic substances in traditional Chinese medicine.