The combination of radiotherapy and immunotherapy is not merely a superposition of therapeutic effects but rather a dynamic competition involving radiation-induced damage, tissue repair programs, and antitumor immune amplification. Accumulating evidence indicates that heme metabolism does more than supply prosthetic groups. It acts as a critical interface connecting radiation stress, mitochondrial homeostasis, redox imbalance, iron metabolism, and tumor immune remodeling. Focusing on the "radiation-heme-immunotherapy" axis, this review systematically examines how radiation reshapes the heme synthesis-degradation network via reactive oxygen species (ROS) bursts, Nrf2/BACH1 responses, mitochondrial damage, and disruption of iron homeostasis. In turn, these changes reprogram the cGAS-STING-type I interferon axis, myeloid cell polarization, T-cell function, and the hypoxic/stromal state of the tumor microenvironment. We pay special attention to the functional paradox of heme oxygenase-1 (HO-1): it protects normal tissues from radiation injury yet promotes tumor tolerance. We propose that HO-1 outcomes are not determined solely by its expression level but are collectively shaped by the expressing cell type, the intensity and duration of induction, subcellular localization, and the microenvironmental context. Accordingly, HMOX1/HO-1 and related heme metabolic features may serve as novel biomarkers for patient stratification and sensitization of radioimmunotherapy combinations. The key to its clinical translation lies in establishing detection systems with spatial and temporal resolution and developing localized, temporally sequenced, and population-selective targeted therapeutic strategies.

Objective To evaluate the quality of ketoconazole lotion produced by different domestic companies.Methods Legal standards and exploratory research were used to conduct a comprehensive evaluation of 45 batches(40 batch numbers)of ketoconazole lotion for national drug sampling inspection in 2024,including related substances,antioxidant content,packaging oxygen permeability,in vitro permeation test,and viscosity,antibacterial efficacy,irritation,microstructure,etc.Results The legal standard inspection pass rate was 100.0%.Correlation analysis found that the main factors affecting the quality of this product are prescription technology and packaging.Conclusion It is recommended that manufacturers optimize the prescription process as soon as possible,and pay attention to choose suitable packaging materials,effectively improve the quality of ketoconazole lotion.

Objective To establish the HPLC analysis method for ketoconazole related substances,and to provide technical support for the improvement of the quality standard and the purity of ketoconazole.Methods Gradient elution conditions were optimized based on the chromatographic parameters outlined in the 2024"British Pharmacopoeia"for ketoconazole cream.A C18 column(4.6 mm×150 mm,3 μm)was used to facilitate the elution process using a gradient of acetonitrile and acetate buffer,and detection performed at a wavelength of 230 nm.Results The known impurities and potentially genotoxic impurities in the material drugs of ketoconazole can be more effectively separated using the established methods,which are both robust and highly sensitive.The content of the two potentially geno toxic impurities,six known impurities and unknown impurities in the 21 batches of ketoconazole sourced from five raw material pharmaceutical companies is below the specified limit requirements.Conclusion This method contributes to improving the quality of ketoconazole ingredients,ensuring the safety of ketoconazole preparations,and better supporting the regulatory supervision.

Integrated medical curriculum is an important direction for the development of medical education. While integrated theoretical courses have been practiced for many years, integrated experiments are still in the exploratory stage. Taking the integrated experiments of medical microbiology and immunology in Xi'an Jiaotong University as an example, this article introduces the design concept, implementation details, effectiveness evaluation, improvements, and prospects of integrated experiments established based on clinical practice principles, so as to provide a reference for further optimization of integrated experiments in the future.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Integrated medical curriculum is an important direction for the development of medical education. While integrated theoretical courses have been practiced for many years, integrated experiments are still in the exploratory stage. Taking the integrated experiments of medical microbiology and immunology in Xi'an Jiaotong University as an example, this article introduces the design concept, implementation details, effectiveness evaluation, improvements, and prospects of integrated experiments established based on clinical practice principles, so as to provide a reference for further optimization of integrated experiments in the future.

Objective To evaluate the quality of ketoconazole lotion produced by different domestic companies.Methods Legal standards and exploratory research were used to conduct a comprehensive evaluation of 45 batches(40 batch numbers)of ketoconazole lotion for national drug sampling inspection in 2024,including related substances,antioxidant content,packaging oxygen permeability,in vitro permeation test,and viscosity,antibacterial efficacy,irritation,microstructure,etc.Results The legal standard inspection pass rate was 100.0%.Correlation analysis found that the main factors affecting the quality of this product are prescription technology and packaging.Conclusion It is recommended that manufacturers optimize the prescription process as soon as possible,and pay attention to choose suitable packaging materials,effectively improve the quality of ketoconazole lotion.

Objective To establish the HPLC analysis method for ketoconazole related substances,and to provide technical support for the improvement of the quality standard and the purity of ketoconazole.Methods Gradient elution conditions were optimized based on the chromatographic parameters outlined in the 2024"British Pharmacopoeia"for ketoconazole cream.A C18 column(4.6 mm×150 mm,3 μm)was used to facilitate the elution process using a gradient of acetonitrile and acetate buffer,and detection performed at a wavelength of 230 nm.Results The known impurities and potentially genotoxic impurities in the material drugs of ketoconazole can be more effectively separated using the established methods,which are both robust and highly sensitive.The content of the two potentially geno toxic impurities,six known impurities and unknown impurities in the 21 batches of ketoconazole sourced from five raw material pharmaceutical companies is below the specified limit requirements.Conclusion This method contributes to improving the quality of ketoconazole ingredients,ensuring the safety of ketoconazole preparations,and better supporting the regulatory supervision.

ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

We propose a strategy to reduce unnecessary prostate biopsies in Chinese patients with total prostate-specific antigen (tPSA) >10 ng ml -1 and Prostate Imaging Reporting and Data System (PI-RADS) scores between 1 and 3. Clinical data derived from 517 patients of The First Affiliated Hospital of USTC (Hefei, China) from January 2020 to December 2023 who met the screening criteria for the study were retrospectively collected. Independent predictors were identified via univariate and multivariate logistic regression analysis. The diagnostic capacity of clinical variables was evaluated using the receiver operating characteristic (ROC) curves and area under the curve (AUC). A prostate biopsy strategy was developed via risk stratification. Of the 517 patients, 17/348 (4.9%) with PI-RADS 1-2 were diagnosed with clinically significant prostate cancer (csPCa), and 27/169 (16.0%) patients with PI-RADS 3 were diagnosed with csPCa. The appropriate prostate-specific antigen density (PSAD) cut-off values were 0.45 ng ml -2 for PI-RADS 1-2 patients and 0.3 ng ml -2 for PI-RADS 3 patients. The appropriate prostate volume (PV) cut-off values were 40 ml for PI-RADS 1-2 patients and 50 ml for PI-RADS 3 patients. The prostate biopsy strategy based on PSAD and PV developed in this study can reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3. In the study, 66.5% (344/517) patients did not need to undergo prostate biopsy, at the expense of missing only 1.7% (6/344) patients with csPCa.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Retrospective Studies ; Prostate/diagnostic imaging* ; Unnecessary Procedures/statistics & numerical data* ; Biopsy/statistics & numerical data* ; China ; ROC Curve