ObjectiveTo explore the clinical significance of artemin （ARTN） expression in prostate cancer （PCa） tissues and its impact on the malignant behavior of PCa cell lines. MethodsImmunohistochemistry was used to detect the expression of ARTN protein in 40 benign prostate tissues and 91 PCa tissues， and its relationship with the clinical and pathological characteristics of PCa was analyzed. PCa stable cell lines with ARTN knockdown were constructed， and the effects of ARTN on the proliferation， migration， and invasion ability of PCa cells were detected via CCK-8 cell proliferation assay and Transwell assay. Western blot assay was used to detect the effect of ARTN on the expression of epithelial-mesenchymal transition （EMT） related markers E-cadherin， N-cadherin， Vimentin， and Snail family transcription inhibitory factor 1 （Snail-1）. ResultsARTN was highly expressed in PCa and correlated with Gleason score， local lymph node metastasis， and local nerve invasion （P0.05）. Survival analysis showed a statistically significant difference in survival rates between ARTN positive and negative patients （P=0.027）. The results of CCK-8 and Transwell assay showed that the knockdown of ARTN could inhibit the proliferation， migration， and invasion ability of PCa cells （all P0.05）. Western blot results showed that the knockdown of ARTN upregulated the epithelial marker E-cadherin in PCa cells， while the mesenchymal markers N-cadherin， Snail-1， and Vimentin were downregulated. ConclusionARTN is highly expressed in PCa and can promote the proliferation， migration， invasion ability of PCa cells， as well as increasing EMT levels in PCa cells， suggesting it may be a potential target for the diagnosis and treatment of PCa.

Objective: To observe the clinical efficacy and safety of Yiqi Tongluo Decoction in the intervention of early traditional Chinese medicine (TCM) syndromes after ischemic cerebrovascular disease (ICVD) intervention. Methods: From October 2020 to July 2023, a randomized, double-blind, placebo-controlled study was conducted to include 60 patients with qi deficiency, blood stasis, and phlegm obstruction syndrome after ICVD interventional therapy. They were assigned to the Yiqi Tongluo Decoction treatment group (30 cases) and the TCM placebo routine treatment control group (30 cases) according to the randomized block design. Both groups received routine standardized treatment of Western medicine, including dual antiplatelet, lipid regulation, and control of risk factors for cerebrovascular disease. The treatment group was treated with Yiqi Tongluo Decoction based on the control group. The course of treatment was 60 days and follow-up was carried out 2 and 6 months after the operation. The improvement of qi deficiency syndrome, blood stasis syndrome, phlegm syndrome score and TCM syndrome score, modified Rankin score (mRS), Barthel index (BI) score, Fatty acid-binding protein 4 (FABP4) level, incidence of transient ischemic attack (TIA) and ischemic stroke (IS) and incidence of adverse reactions, Head and neck CT angiography (CTA) or digital subtraction angiography (DSA) examination were collected. The clinical efficacy of the patients 2 months after the operation was taken as the main outcome index to preliminarily evaluate the early and long-term efficacy of Yiqi Tongluo Decoction after the ICVD intervention. The early and long-term clinical efficacy and safety of Western medicine standardized treatment combined with TCM Yiqi Tongluo Decoction on patients with qi deficiency, blood stasis and phlegm obstruction syndrome after ICVD intervention were evaluated. The safety of Yiqi Tongluo Decoction in the treatment of patients after ICVD intervention with white blood cell (WBC), C-reactive protein (CRP), fibrinogen (FIB), plasminogen time (PT), recurrence of cerebral ischaemia and restenosis in patients at 2 and 6 months after treatment were evaluated. Results: Compared to the control group, the TCM syndrome scores for qi deficiency, blood stasis and phlegm syndrome in the treatment group reduced significantly, the clinical efficacy improved significantly, the mRS score and FABP4 were reduced, and the BI score was increased. Adverse events such as cerebral ischaemia were fewer in the treatment group than in the control group, but the difference was not statistically significant; levels of CRP, WBC and PT were reduced, and levels of FIB were reduced at 6 months post-treatment, all P<0.01, and images were intuitively compared. The treatment group was superior to the control group. Conclusion Yiqi Tongluo Decoction combined with Western medicine standard treatment can improve the early clinical efficacy of ICVD patients with qi deficiency, blood stasis and phlegm obstruction syndrome after interventional surgery, improve neurological impairment and daily living ability, reduce the state of qi deficiency syndrome, blood stasis syndrome and phlegm syndrome after interventional surgery, and improve the clinical efficacy of TCM. At the same time, it can reduce the level of FABP4, the target of atherosclerosis and restenosis after interventional surgery, reduce the level of inflammation after interventional surgery in patients with ICVD, regulate coagulation function, and reduce the incidence of long-term recurrence of cerebral ischemia after interventional surgery, with good safety.

Lymphoma is a highly heterogeneous malignancy characterized by complex molecular regulatory mechanisms that result in significant differences in aggressiveness and prognosis across its subtypes.Gene copy number alteration(CNA)analysis,an emerging technology,has become a pivotal tool in the precision re-search and management of lymphoma.By detecting DNA deletions,amplifications,and chromosomal copy number changes,CNA analysis addresses the limitations of traditional cytogenetic techniques,enhances the ac-curacy of subtype classification,and aids in evaluating tumor heterogeneity and disease progression.This re-view provides a comprehensive summary of CNA detection methods and their applications in lymphoma,with a focus on recent advancements in the field.It offers a comparative analysis of CNA detection techniques and discusses their role in precision diagnosis,subtype classification,monitoring disease progression,predicting therapeutic resistance,and assessing prognosis.Additionally,the review explores the potential applications of CNA analysis in uncovering molecular regulatory mechanisms,optimizing therapeutic strategies,and impro-ving patient survival outcomes.

Objective To investigate the effects of low background radiation environments in deep underground settings on the biological behavior of NP69 human nasopharyngeal epithelial cells(NP69 cells)and the underlying molecular mechanisms.Methods A parallel control experimental design was adopted and NP69 cells were synchronously cultured in settings of three underground depths at the China in situ Deep-Underground Facility&Life Observatory(DeUFO)—ground level(DeUFO-0 m),1 000 m underground(DeUFO-1 000 m),and 1 500 m underground(DeUFO-1 500 m).Changes in cell proliferation and migration capabilities were assessed using the Cell Counting Kit-8(CCK-8)assay and scratch assay,respectively.High-throughput RNA sequencing(RNA-Seq)was performed to identify differentially expressed genes(DEGs).Functional annotation and pathway enrichment analysis of the DEGs were performed using the Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)databases.Results CCK-8 assay revealed that,after 72 h of culture,the absorbance value of the DeUFO-0 m group was 1.35 times and 1.27 times those of the those of the DeUFO-1 000 m and DeUFO-1 500 m groups,respectively(both P<0.000 1).After 96 h of culture,the absorbance value of the DeUFO-0 m group was 1.52 times and 1.41 times those of the DeUFO-1 000 m and DeUFO-1 500 m groups,respectively(both P<0.000 1).Colony formation assays revealed that the number of cell colonies in the DeUFO-0 m group was 1.59 times and 1.27 times those in the DeUFO-1 000 m group and DeUFO-1 500 m group,respectively(both P<0.001).The scratch assay revealed that the 36-hour wound healing rate of the DeUFO-0 m group was 2.22 times and 4.00 times those of the DeUFO-1 000 m group and DeUFO-1 500 m group,respectively(both P<0.000 1).Transwell assays revealed that the number of migrating cells in the DeUFO-0 m group was 2.08 times and 2.56 times those in the DeUFO-1 000 m group and DeUFO-1 500 m group,respectively(both P<0.000 1).Transcriptome sequencing analysis revealed consistent upregulation of CELF2,CELF4,CGB8,GRHL2,and DMRTA2 genes in the DeUFO-1 000 m and DeUFO-1 500 m groups.Pathway enrichment analysis indicated significant enrichment of extracellular matrix(ECM)remodeling-associated pathways and gene expression regulation pathways in the experimental groups(false discovery rate[FDR]<0.05).Conclusion The low background radiation environment in deep underground settings suppresses the proliferation and migration activities of NP69 cells by mediating ECM remodeling and post-transcriptional regulatory mechanisms through the regulation of target genes such as the CELF family.This study provides experimental evidence for establishing a dose-response relationship between environmental radiation and cellular effects.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

Objective:To explore the efficacy of deep learning-based automatic segmentation technology in the segmentation of hepatocellular carcinoma (HCC) lesions using gadoxetate disodium-enhanced MRI (EOB-MRI), and to investigate the prognostic value of radiomics analysis in predicting patient outcomes.Methods:This was a cross-sectional, retrospective study that collected data from 352 patients with solitary HCC who underwent imaging at the Harbin Medical University Cancer Hospital between June 2015 and May 2023. The patients were randomly divided into a training set ( n=213) and a validation set ( n=139) in a 3∶2 ratio using weighted random sampling. Two radiologists manually annotated the lesions. Hepatobiliary-phase EOB-MRI images were standardized, and six deep learning models,nnU-Net, nnFormer, UnetR, Swin-UnetR, UnetR++ and MedNeXt,were trained for automatic segmentation on the training set. The segmentation performance was evaluated on the validation set, and the segmentation efficacy was assessed using the Dice coefficient and 95% Hausdorff distance (HD 95), identifying of the optimal model. Radiomics features were extracted from both manual and automatic segmentation regions, and the radiomics score (Radscore) was calculated to stratify patients into high-risk and low-risk groups. Kaplan-Meier curves and log-rank tests were used to analyze the differences in relapse-free survival (RFS) and overall survival (OS) between the different stratified groups. Results:Among the automatic segmentation models, the MedNeXt model performed best in the validation set, with a Dice coefficient of 76.0%, HD 95 of 7.2, and a segmentation success rate of 90.6% (126/139). The nnFormer model was the second-best, with a Dice coefficient of 75.3%, HD 95 of 10.1, and a segmentation success rate of 89.9% (125/139). Other models showed Dice coefficients ranging from 66.3% to 74.1%. A MedNext-nnF model was established by combining the MedNeXt and nnFormer models, achieving a Dice coefficient of 78.2%, HD 95 of 5.9, and a segmentation success rate of 92.1% (128/139) in the validation group. After constructing the automatic segmentation radiomics prognostic model, patients were stratified by Radscore. Both manual and automatic segmentation models showed statistically significant differences in RFS and OS between different risk groups ( P<0.001). Conclusions:The Mednext-nnF fusion model enables efficient and automated segmentation of HCC lesions in EOB-MRI. The radiomics model constructed based on the automated segmentation demonstrates strong performance in predicting and stratifying prognostic risk.

Objective:To investigate the efficacy and safety of hypofractionated radiotherapy combined with temozolomide and bevacizumab in the treatment of primary glioblastoma.Methods:A total of 48 patients who received radiotherapy in Chongqing University Cancer Hospital from Jan. 2020 to Dec. 2023 were enrolled. According to the principle of voluntary participation of patients,research group: hypofractionated radiotherapy+temozolomide+bevacizumab, control group: radiotherapy+temozolomide. The research group received bevacizumab at a dose of 7.5mg/kg, q2w, 1 week before radiotherapy. Hypofractionated radiotherapy (60Gy/20F) was administered with bevacizumab (7.5mg/kg, q2w) combined with temozolomide (75mg/m 2), D1-D42, once a day. Patients would rest for 4 weeks after radiotherapy, and be given bevacizumab (10mg/kg q3w) for 6 cycles until cancer progression and combined with temozolomide (150-200mg/m 2, d1-d5, q28) for 6 cycles. Control group: radiotherapy (60Gy/30F), combined with temozolomide (75mg/m 2) once a day, D1-D42. Patients would rest for 4 weeks after radiotherapy, and be given temozolomide (150-200mg/m 2, d1-d5, q28) for 6 cycles. Both groups were treated until the disease progression or intolerant toxicity. Clinical efficacy evaluation based on neurooncological response evaluation criteria. Results:The total response rate (ORR) in the control group and research group were 37.50% (9 cases/24 cases) and 54.17% (13 cases/24 cases) ; The disease control rate (DCR) ratio was 79.17% (19 cases/24 cases) and 91.67% (22 cases/24 cases) respectively. There were significant differences in ORR and DCR rates between the two groups (all P<0.05). The median OS of patients in the control group and research group were 12.4 months (95% CI: 5.8-9.6) and 18.2 months (95% CI: 8.2-12.4). The median PFS of patients in the control group and research group were 8.9 months (95% CI: 3.8-7.2) and 13.2 months (95% CI: 6.4-10.2). The differences between the two groups were statistically significant ( P<0.05). The incidence of adverse drug reactions in both group was 50.00%, with no statistically difference ( P>0.05) . Conclusion:The newly diagnosed glioblastoma treated with hypofractionated radiotherapy+temozolomide+bevacizumab showed significant advantages compared with conventional radiotherapy in PFS, OS, ORR and DCR.

Objective To explore the value of ultrasound deep learning(DL)model for diagnosis and classification of cystocele.Methods Totally 696 female patients who underwent pelvic floor ultrasound were retrospectively collected and divided into model development dataset(n=576)and test set(n=120).The former included 432 cases of cystocele and 144 cases of non-cystocele,while the latter included 90 cases of cystocele and 30 cases of non-cystocele.Patients in model development dataset were randomly divided into training set(n=460,including 345 cases of cystocele and 115 cases of non-cystocele)and validation set(n=116,including 87 cases of cystocele and 29 cases of non-cystocele)at the ratio of 8∶2.DL model was trained and established using Vision Transformer architecture based on pelvic floor ultrasound data in training and validation sets for diagnosis and classification of cystocele(non-or Green Ⅰ,Ⅱ and Ⅲ type).Taken diagnostic results of senior ultrasound physicians as standard,the diagnostic efficacy of DL model was evaluated,and its diagnostic efficacy and efficiency were compared with those of 2 junior ultrasound physicians.Results The macro average precision,F1 score,area under the curve(AUC)and overall accuracy of DL model for diagnosis and classification of cystocele in validation set was 90.84％,89.28％,0.97 and 89.66％,respectively,while in test set was 80.85％,79.92％,0.92 and 80.00％,respectively.The overall diagnostic accuracy of 2 junior ultrasound physicians for diagnosis and classification of cystocele in test set was 70.00％(84/120)and 68.33％(82/120),respectively,both lower than that of DL model(P=0.023,0.011).The diagnostic time of DL model was 0.098 s for each case,of junior ultrasound physicians was 46(36,56)s for each case,the former had better diagnostic efficacy(P＜0.001).Conclusion Ultrasound DL model could be used for diagnosis and classification of cystocele.

Objective To explore the application value of CT-based radiomics in differentiating pneumonia-type mucinous adenocarcinoma(PTMA)from organizing pneumonia(OP).Methods A total of 52 PTMA patients and 102 OP patients were retrospectively included and randomly divided into training set(n=124)and test set(n=30)in an 8∶2 ratio.Eight PTMA patients and 22 OP patients from another hospital during the same period were included as external validation set(n=30).Clinical characteristics and CT signs of the patients were selected to construct the clinical model.Radiomics features were extracted and dimensionality reduction was performed through the least absolute shrinkage and selection operator(LASSO)algorithm.A radiomics model was constructed and the Radiomics score(Radscore)was calculated.The Radscore was combined with clinical factors to establish the combined model and a nomogram was illustrated.The models' fitting degree was analyzed by the calibration curve,while their efficacy was evaluated by the receiver operating characteristic(ROC)curve and decision curve analysis(DCA).Results The clinical model,established based on the border,cystic space and bronchial leafless tree sign,achieved area under the curve(AUC)of 0.850,0.782,and 0.759 in the training set,test set,and external validation set,respectively.Thirteen features were obtained to construct the radiomics model,with AUC of 0.925,0.865,and 0.830,respectively.The AUC of the combined model were 0.970,0.905,and 0.864,respectively,in which the calibration curve demonstrated good model fitting.DCA indicated that the combined model had the greatest clinical net benefit.Conclusion The combined model based on CT radiomics can effectively distinguish PTMA from OP.

Objective:To evaluate the impact of Diagnosis-Intervention Packet(DIP)payment reform on medical service costs and efficiency for inpatients in public hospitals,and to compare differences between surgical and medical groups.Methods:A quasi-experimental design was employed,using 605 636 discharged patients from a tertiary hospital in Hebei Province between January 2020 and March 2025 as the sample.The difference-in-differences(DID)model was used to analyze the changes in key indicators between the DIP settlement group(intervention group)and the non-DIP settlement group(control group).Results:Total hospitalization costs,out-of-pocket expenses,and medication costs were significantly reduced in the DIP settlement group(P<0.05),while costs for examinations,nursing,laboratory tests,and treatments increased significantly(P<0.05).Material costs increased by 30.7%in the surgical group(P<0.1)and decreased by 19.8%in the medical group(P<0.01).In terms of efficiency,the average length of stay,time,and cost consumption index all decreased(P<0.01),while the proportion of medical services increased(P<0.01).The case mix index(CMI)showed no significant changes.Conclusion:The DIP reform effectively controlled costs and improved efficiency,but it also resulted in cost shifting and departmental disparities.Therefore,it is necessary to optimize cost control and departmental management policies.