The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT) has been widely used in the treatment of malignant liver cancers, and its safety and efficacy have been fully validated. As an important local therapeutic method, ⁹⁰Y-SIRT has been utilized for the treatment of multiple metastatic liver cancers in many cancer diagnosis and treatment centers at home and abroad, demonstrating significant therapeutic potential. This article reviews the basic principle, development history, indications and contraindications of ⁹⁰Y microsphere, as well as the specific applications in treatment of different types of metastatic liver cancers, aiming to provide references for further research and optimization of treatment strategies.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Radiation mainly comes from medical radiation,industrial radiation,nuclear waste and atmospheric ultraviolet radiation,etc.,radiation is divided into ionizing radiation and non-ionizing radiation.Studying the effects of ionizing and non-ionizing radiation on drug metabolism,understanding the absorption and distribution of drugs in the body after radiation and the speed of elimination under radiation conditions can provide reasonable guidance for clinical medication.This article reviews the effects of radiation on the pharmacokinetics of different drugs,elaborates the changes of different pharmacokinetics under radiation state,and discusses the reasons for the changes.

Objective To investigate the effect of cinobufacini on immune escape of acute myeloid leukemia(AML)by regulating myosin heavy chain 9(MYH9)/ubiquitin-specific protease 7(USP7)/cellular-myelocytomatosis viral oncogene(c-MYC)pathway.Methods(1)In vivo experiment:a nude mouse xenograft tumor model was established to evaluate the effect of cinobufotalin on the growth and immune escape of AML cells in vivo.(2)In vitro experiments:human AML cell line HL-60 was treated with different concentrations of cinobufacini,cell viability was detected by cell counting kit 8(CCK-8),and HL-60 cell invasion was detected by Transwell assay.HL-60 cells were co-cultured with activated CD8+ T cells,the expression of CD25,the surface marker of CD8+ T cells,was detected by flow cytometry,the levels of cytokines[interleukin-2(IL-2)and interferon(IFN-γ)]in the co-culture supernatant were detected by enzyme-linked immunosorbent assay(ELISA).CytoTox96 non-radioactive cytotoxicity assay was used to evaluate the cytotoxicity of CD8+ T cells to HL-60 cells.The protein expressions of MYH9,USP7 and c-MYC in HL-60 cells were detected by Western Blot.The interaction between MYH9,USP7 and ubiquitination was detected by co-immunoprecipitation(Co-IP)assay.The MYH9 overexpression plasmid was tranfected to verify the mechanism of cinobufacini in AML.Results Cinobufacini treatment inhibited xerograft tumor growth in nude mice and enhanced the anti-tumor ability of CD8+ T cells.Cinobufacini treatment inhibited HL-60 cell viability and invasion in a concentration-dependent manner.Cinobufacini treatment up-regulated the expression of CD25,a surface marker of CD8+ T cells,and also up-regulated the levels of IL-2 and IFN-γ.Cinobufotalin enhanced the toxicity of CD8+ T cells to HL-60 cells.Cinobufacini inhibits the protein expressions of MYH9,USP7 and c-MYC in HL-60 cells.MYH9 promotes c-MYC deubiquitination by recruiting USP7,but cinobufacini inhibits MYH9-mediated c-MYC deubiquitination.Conclusion Cinobufacini can reduce the recruitment of c-MYC by deubiquitinating enzyme USP7 by inhibiting the expression of MYH9,and promote the ubiquitination and degradation of c-MYC,thereby inhibiting the immune escape of AML cells.

Objective:To analyze the influencing factors of contrast agent extravasation in coronary CT angiography(CTA)examination,and to formulate intervention measures.Methods:A retrospective selection of data from 583 patients who underwent coronary CTA at Peking University People's Hospital from January to December 2023 was conducted.Logistic regression was used to analyze the patients'general information and injection protocols,and the risk factors of contrast agent extravasation were determined.Results:Among the 583 patients included,11 patients had contrast agent extravasation during CTA examination,with an extravasation rate of 1.887%.The contrast agent was all extravasated into the subcutaneous tissue,and the CT value did not reach the trigger criteria.Gender,education level,diabetes mellitus,history of intravenous chemotherapy,age,weight,body mass index(BMI),injection rate and injection dose were all associated with the occurrence of contrast agent extravasation,the difference was statistically significant(x2=18.911,7.563,16.567,4.279,t=3.576,3.244,1.865,4.297,6.532,P<0.05).Age,education level,history of intravenous chemotherapy,diabetes mellitus,injection rate and injection dose were risk factors for contrast agent extravasation in coronary CTA(OR=1.008,1.372,1.029,5.092,0.975,1.421,P<0.05).Conclusion:Factors such as low education level,advanced age,history of intravenous chemotherapy,high injection rate and large injection dose can increase the risk of contrast agent extravasation in coronary CTA examination.Radiology staff should closely monitor high-risk patients,strengthen monitoring of intravenous injection of contrast agents for coronary CTA examination,and reduce the occurrence of contrast agent extravasation.

BACKGROUND: Lung cancer is the second most common cancer worldwide, with non-small-cell lung cancer (NSCLC) accounting for the majority of cases. Patients with NSCLC have achieved great survival benefits from immunotherapies targeting immune checkpoints. Glucocorticoids (GCs) are frequently used for palliation of cancer-associated symptoms, as supportive care for non-cancer-associated symptoms, and for management of immune-related adverse events (irAEs). The aim of this study was to clarify the safety and prognostic significance of glucocorticoid use in advanced patients with NSCLC treated with immune checkpoint inhibitors (ICIs). METHODS: The study searched publications from PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine disc, Chinese National Knowledge Infrastructure, Wanfang Data, and Chinese Science and Technology Journal Database up to March 1st, 2022, and conducted a meta-analysis to assess the effects of glucocorticoid use on overall survival (OS) and progression-free survival (PFS) in NSCLC patients treated with ICIs through the available data. The study calculated the pooled hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: This study included data from 25 literatures that were mainly retrospective, with 8713 patients included. Patients taking GCs had a higher risk for tumor progression and death compared with those not taking GCs (PFS: HR = 1.57, 95% CI: 1.33-1.86, P <0.001; OS: HR = 1.63, 95% CI: 1.41-1.88, P <0.001). GCs used for cancer-associated symptoms caused an obviously negative effect on both PFS and OS (PFS: HR = 1.74, 95% CI: 1.32-2.29, P <0.001; OS: HR = 1.76, 95% CI: 1.52-2.04, P <0.001). However, GCs used for irAEs management did not negatively affect prognosis (PFS: HR = 0.68, 95% CI: 0.46-1.00, P = 0.050; OS: HR = 0.53, 95% CI: 0.34-0.83, P = 0.005), and GCs used for non-cancer-associated indications had no effect on prognosis (PFS: HR = 0.92, 95%CI: 0.63-1.32, P = 0.640; OS: HR = 0.91, 95% CI: 0.59-1.41, P = 0.680). CONCLUSIONS In advanced NSCLC patients treated with ICIs, the use of GCs for palliation of cancer-associated symptoms may result in a worse PFS and OS, indicating that they increase the risk of tumor progression and death. But, in NSCLC patients treated with ICIs, the use of GCs for the management of irAEs may be safe, and the use of GCs for the treatment of non-cancer-associated symptoms may not affect the ICIs' survival benefits. Therefore, it is necessary to be careful and evaluate indications rationally before administering GCs in individualized clinical management.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Glucocorticoids/therapeutic use* ; Immune Checkpoint Inhibitors/therapeutic use* ; Lung Neoplasms/drug therapy* ; Retrospective Studies

Aim To explore the effect of γ-ray on the mRNA,protein expression levels and metabolic activity level of the key drug metabolic enzyme CYP3A1 in rat liver. Methods Wistar rats were randomly divided into control group, 24 h post-radiation group and 72 h post-radiation group. The experimental group was exposed to total body irradiation of single 6 Gy γ-ray. Blood was collected from the orbital venous plexus for blood routine examination and biochemical analysis 24 h and 72 h after irradiation, and liver tissue was prepared for quantifying expression of CYP3A1 mRNA and liver-specific microRNA (miR-122-5p) through RT-PCR. The expression level of CYP3A1 protein was analyzed by Western blot, and the metabolic activity level of CYP3A1 detected by the specific substrate midazolam combined with LC-MS method. Results Com¬pared with the control group, the weights of the rats in the radiation group significantly decreased, and the number of white blood cells was markedly reduced. Simultaneously, the activities of alanine aminotrans-ferase and alkaline phosphatase continuously descended, as well as the levels of total bilirubin and bile acid significantly increased, which indicated that the liver may be damaged after radiation. The relative expression of CYP3A1 mRNA continued to increase significantly 24 h and 72 h after irradiation. CYP3A1 protein expression and metabolic activity levels showed an obvious increasing trend 24 h after irradiation, and rose significantly 72 h after irradiation compared with the control group. At the same time, the expression of miR-122-5p in liver of rats in the 24 h and 72 h post-radiation group continued to decrease rapidly compared with the control group. Conclusions γ-ray radiation may arouse damage effect on liver, which leads to the continuous up-regulation of the mRNA and protein expression levels of the capital metabolic enzyme CYP3A1 in liver tissue, as well as the elevation of the metabolic activity level. The regulatory mechanism might be related to miR-122-5p.