Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To evaluate the accuracy and feasibility of an automated scanning and uptake system to assist pathologists with hu-man epidermal growth factor receptor 2(HER2)FISH interpretation.Methods:HER2 gene amplification is detected using FISH,and"result interpretation by independent pathologists"is regarded as the"gold standard."The consistency of"human-machine dialogue results"(use of a CytoVision* system combined with manual interpretation)and"CytoVision*-based automated interpretation"with the"gold standard"was assessed.Results:Consistency between"human-machine dialogue results"and the"gold standard"can surpass 91%,with the former method saving up to 50%of the manual operation time.The tendency of each cell nucleus's HER2 copy number to be"underestimated"is the main reason for the low sensitivity observed in cases with low copy number amplification and HER2 heterogeneous expression cases in"human-machine dialogue interpretation."Conclusions:Automatic FISH image analysis and uptake systems simulate the process of manu-ally interpreted cell selection,ensure random cell selection,and improve work efficiency.With its accurate selection of the hybridization re-gion and"human-computer dialogue,"the system is expected to"replace"interpretation by independent pathologists.

Post-translational modification of protein is a key mechanism for regulating cancer development and immune re-sponses,and has become an important target for cancer diagnosis and treatment.Among them,lactylation modification provides a new perspective for the precise prevention and control of tumors by affecting metabolism and epigenetics.Lactylation modification precisely regulates the functions of histone and non-histone,affecting tumor cell characteristics,microenvironment acidification,and immune cell functions,becoming a key hub connecting metabolic reprogramming and malignant phenotypes.This article reviews the regulatory roles of lactylation modification in tumor development,immune escape,clinical translation,and explores the potential of targeted inhi-bition of lactylation modification and its related pathways,as well as the inhibition of key enzyme activity.

Objective:To evaluate the role of tumor necrosis factor-α-induced protein 8-like molecule-2 (TIPE2) in the endogenous protective mechanism against acute lung injury in septic mice and the relationship with ferroptosis.Methods:Twenty SPF healthy wild-type male C57BL/6N mice and 20 TIPE2 gene knockout C57BL/6N mice, aged 6-8 weeks, weighing 20-25 g, were assigned to wild-type sham operation group (WT-Sham group), wild-type sepsis group (WT-SEP group), TIPE2 knockout sham operation group (KO-Sham group), and TIPE2 knockout sepsis group (KO-SEP group) using a random number table method, with 10 mice in each group. Acute lung injury was induced by cecal ligation and perforation in anesthetized mice. The animals were sacrificed after anesthesia at 24 h after operation and lung tissues were obtained for examination of the morphological results of lung tissues (with a light microscope) and for determination of wet to dry lung weight (W/D) ratio, contents of ferrous ions (Fe 2+ ), glutathione (GSH) and malondialdehyde (MDA) and expression of solute carrier family 7 member 11 (SLC7A11), glutathione peroxidase 4 (GPX4) and Acyl-CoA synthetase long-chain family member 4 (ACSL4) (by Western blot). Results:Compared with WT-Sham group, the lung injury score, W/D ratio and contents of Fe 2+ and MDA were significantly increased, the content of GSH was decreased, the expression of GPX4 and SLC7A11 was down-regulated, and the expression of ACSL4 was up-regulated in WT-SEP group ( P<0.05). Compared with WT-SEP group, the lung injury score, W/D ratio and contents of Fe 2+ and MDA were significantly increased, the content of GSH was decreased, the expression of GPX4 and SLC7A11 was down-regulated, and the expression of ACSL4 was up-regulated in KO-SEP group ( P<0.05). Conclusions:TIPE2 is involved in the endogenous protective mechanism against acute lung injury, which may be related to the inhibition of ferroptosis in lung tissues of septic mice.

Post-translational modification of protein is a key mechanism for regulating cancer development and immune re-sponses,and has become an important target for cancer diagnosis and treatment.Among them,lactylation modification provides a new perspective for the precise prevention and control of tumors by affecting metabolism and epigenetics.Lactylation modification precisely regulates the functions of histone and non-histone,affecting tumor cell characteristics,microenvironment acidification,and immune cell functions,becoming a key hub connecting metabolic reprogramming and malignant phenotypes.This article reviews the regulatory roles of lactylation modification in tumor development,immune escape,clinical translation,and explores the potential of targeted inhi-bition of lactylation modification and its related pathways,as well as the inhibition of key enzyme activity.

Objective:To establish an evaluation index system for patient safety education targeted at undergraduate nursing interns.Methods:Based on the CIPP (Context, Input, Process, Product) evaluation model, a preliminary draft of the index system was developed using a literature review and semi-structured interviews. The Delphi method and the Analytic Hierarchy Process were applied to finalize the index system.Results:Two rounds of Delphi expert consultation were conducted. In the first round, 23 questionnaires were distributed, and 20 valid responses were received (effective response rate: 86.96%) . Among them, 15 experts (75.00%) provided revision suggestions. In the second round, 20 questionnaires were distributed, and 19 valid responses were received (effective response rate: 95.00%) , with two experts (10.53%) offering suggestions. The expert authority coefficients for the two rounds were 0.900 and 0.921, respectively. Kendall's coordination coefficients were 0.272 and 0.273 ( P<0.01) . The final evaluation system consisted of four first-level indicators, eight second-level indicators, and 18 third-level indicators. Conclusions:The evaluation index system constructed in this study is scientifically grounded and reliable. However, its practical utility and applicability require further validation.

ObjectiveTo explore the application value of probe-based confocal laser endomicroscopy (pCLE) in rapidly detecting and evaluating the morphological characteristics of digestive tract tissues in mice. MethodsTwelve male SPF Kunming mice aged 6 weeks were randomly divided into two groups. Six mice were subjected to gastric gavage with 52% Red Star Erguotou to establish the model, and six were given saline by gastric gavage as a control. After 28 days of modeling, 3 mice were randomly selected from each group. After deep anesthesia induced by inhalation of 3% isoflurane, the mice were sacrificed by cervical dislocation. The stomach, duodenum, jejunum, and rectum tissues were excised and immersed in 1% fluorescein sodium solution for staining. The microstructure of the mucosal surface of each tissue was observed using pCLE. The remaining mice in the model group and the control group were deeply anesthetized by inhaling 3% isoflurane, then cardiac perfusion was performed successively with saline and 4% paraformaldehyde. The stomach, duodenum, jejunum, and rectum tissues were excised for dehydration, section and hematoxylin-eosin (HE) staining, and the morphological changes of the tissues were observed under a microscope. ResultsUnder pCLE imaging, fluorescence staining on the surface of the gastrointestinal mucosa was uniform in the control group; the morphology of gastric pits, intestinal villi, and intestinal crypts was intact, arranged compactly, and had distinct boundaries. In the model group, the gastrointestinal mucosa exhibited mucosal swelling and deformation, with uneven fluorescence staining and fluorescein leakage. Furthermore, some tissues showed defects or cell shedding, and the boundaries between adjacent characteristic structures (e.g., gastric pits, intestinal crypts) were blurred. HE staining showed that the gastrointestinal tissue structure of the control group mice was normal and well-organized, with no structural defects. Moreover, submucosal glands were uniform in size, with no hyperplasia observed, and no obvious inflammatory cell infiltration. In the model group, some gastrointestinal mucosal structures were defective and sparsely arranged; submucosal glands showed atrophy, accompanied by obvious inflammatory cell infiltration. The histological characteristics detected by pCLE were consistent with those of HE staining. ConclusionpCLE can be used to obtain rapid, real-time, large-scale, and high-resolution microscopic imaging of the gastrointestinal mucosa, realistically and comprehensively displaying its physiological and microstructural characteristics. It shows promising prospects and practical utility in the histological evaluation of digestive system injuries in small animals.

[Objective] To compare next generation sequencing (NGS) library construction technology between probe hybridization capture and amplicon methods, and analyze the influencing factors of HLA genotyping resolution level and its prospects in clinical applications. [Methods] A total of 207 clinical samples with known typing results and samples from the proficiency testing plan were selected. The conformity rate of HLA genotyping results, allele coverage and typing data analysis indicators were confirmed, and the effects of two library construction methods on the level of HLA genotyping discrimination were compared. [Results] The concordance rate of 207 samples with the feedback results of PT or prior well-characterized HLA genotypes was 100%. Among them, 91 samples were captured using hybridization probe capture method. Compared with the original amplicon method, the hybridization probe capture method can distinguish the alleles of DRB1 and DPB1 that cannot be determined in 13 samples. The allelic imbalance of DRB1, DPA1, and DQB1 loci in 6 samples was resolved. Three samples were found to have missed detection of alleles at the DQA1 and DQB1 loci. [Conclusion] The performance indicators of hybridization probe capture and amplicon performance confirmation meet the requirements of clinical detection of HLA genotyping, which provides an experimental method and basis for clinical application.