ObjectiveTo explore the factors influencing home-based rehabilitation exercise and the needs for digital interventions among patients with spinal muscular atrophy (SMA), based on the behavior change wheel (BCW), and to provide evidence for the development of digital home-based rehabilitation interventions. MethodsA two-phase qualitative study was conducted from December, 2024 to March, 2025. Using convenience sampling, 14 participants were recruited, including patients with SMA, primary caregivers, rehabilitation professionals, clinicians, a patient organization representative and a health policy expert. In phase 1, semi-structured individual interviews were conducted with seven participants, including patients, caregivers and a patient organization representative, to identify factors influencing home-based rehabilitation exercise and unmet needs. In phase 2, a focus group involving 12 stakeholders was conducted, including five participants who had participated in phase 1, to explore requirements for the functions, knowledge content and interface design of a digital intervention, five of them had participated in phase 1. Overall, the two phases involved 14 individual participants, accounting for 19 participant-instances. Thematic analysis was performed using both deductive and inductive approaches, guided by the capability-opportunity-motivation-behavior (COM-B) model. ResultsSix themes were identified. phase 1 showed that patients with SMA experienced inadequate continuity of rehabilitation services and limited access to professional rehabilitation resources, with interruptions in institution-based rehabilitation coexisting with declining adherence to home-based exercise. Home-based rehabilitation exercise was jointly influenced by capability-, opportunity- and motivation-related factors, including limited capabilities of patients and caregivers, constraints in time and supportive conditions and insufficient goals, feedback, and incentives. Individualized rehabilitation plans and professional guidance were the major unmet needs. phase 2 showed that the core functions of a digital intervention should include individualized exercise plans, professional guidance and feedback, reminders and incentives, safety monitoring, remote assessment, and privacy and permission management. Core knowledge content should include stratified exercise guidance, caregiving skills, recognition of abnormal conditions, and information on when and how to seek help. The interface should be simple, impose a low user burden and accommodate different types of users. ConclusionHome-based rehabilitation exercise among patients with SMA is jointly influenced by multiple capability-, opportunity- and motivation-related factors. Digital interventions should prioritize individualized rehabilitation plans, professional guidance and sustained behavioral support. These findings may inform the development of a digital home-based rehabilitation intervention prototype for patients with SMA; its feasibility, safety, clinical effectiveness and economic value require further evaluation.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Objective To investigate the effect of senkyunolide I(SEN I)on neuronal apoptosis in sepsis-associated encephalopathy(SAE)rats via modulation of the mixed-lineage kinase 3(MLK3)/c-Jun N-terminal kinase 3(JNK3)signaling pathway.Methods Screening for a SAE model by monitoring neurobehavioral and electroencephalographic alterations in rats with sepsis induced by cecal ligation and puncture(CLP).Divided into normal control group,sham operation group,sepsis without encephalopathy group,SAE model group,SAE+MLK3/JNK3 signaling pathway inhibitor(URMC-099)group,SAE+low-dose SEN I group(36 mg/kg),and SAE+high-dose SEN I group(144 mg/kg),with 10 animals in each group.After 30 minutes of successful modeling,intraperitoneal injection was administered according to the group,and the administration was completed within 24 hours.HE staining was used to observe the pathological conditions of hippocampal tissue under a light microscope,transmission electron microscopy was used to observe changes in the morphology of neuronal nuclei,cytoplasm,and mitochondrial ultrastructure,TUNEL staining was used to detect hippocampal neuronal apoptosis,and Western blotting was used to detect the expression levels of p-JNK3,JNK3,p-MLK3,MLK3,and Fas ligand(Fas-L)proteins.Results Compared with the normal control group and sham surgery group,the sepsis without encephalopathy group showed no significant changes in neuronal structural morphology and neuronal apoptosis,and there were no significant differences in the expression of p-JNK3,JNK3,p-MLK3,MLK3,and Fas-L proteins(P＞0.05).However,the SAE model group had aggravated neuronal structural morphology damage,increased neuronal apoptosis rate,and increased expression level of p-JNK3,JNK3,p-MLK3,MLK3,and Fas-L proteins(P＜0.01);Compared with the SAE model group,the inhibitor URMC-099 and SEN I treatment groups showed significant improvement in neuronal structural and morphological damage,decreased neuronal apoptosis rates,and reduced p-JNK3,JNK3,p-MLK3,MLK3,and Fas-L protein expression(P＜0.01),with the high-dose SEN I group showing more significant improvement.Conclusion SEN I effectively reduces neuronal apoptosis in SAE and exerts neuroprotective effects on SAE by inhibiting the activation of the MLK3/JNK3 signaling pathway.

BACKGROUND:Exosomes have been confirmed to be closely related to cartilage degeneration in osteoarthritis.However,the role and mechanism of exosome-derived genes in cartilage degeneration of osteoarthritis have not been fully elucidated.OBJECTIVE:Bioinformatics analyses were used to screen the genes related to cartilage degeneration in the synovial exosomes of patients with osteoarthritis,and to determine their biological functions and signaling pathways in order to provide new therapeutic targets for delaying cartilage degeneration in osteoarthritis.METHODS:Firstly,osteoarthritis-related exosome dataset GSE185059 and cartilage degeneration dataset GSE114007 were downloaded from Gene Expression Omnibus(GEO)database to screen exosome-derived cartilage degeneration related genes.GO functional and KEGG pathway enrichment analyses were performed based on the screened exosome-derived cartilage degeneration related genes.Protein-protein interaction network was drawn and Ingenuity Pathway Analysis(IPA)was conducted to screen and obtain key exosome-derived cartilage degeneration-related genes.Finally,qRT-PCR was used to verify the expression of key genes in osteoarthritis cartilage tissue and interleukin-1β stimulated chondrocyte models.RESULTS AND CONCLUSION:(1)There were 831 differentially expressed genes in the GSE185059 dataset and 5 323 differentially expressed genes in the GSE114007 dataset.A total of 94 exosome-derived cartilage degeneration related genes were screened after the intersection of these differentially expressed genes,of which 51 genes were down-regulated and 43 genes were up-regulated.(2)GO functional enrichment analysis showed that the up-regulated genes were mainly involved in the positive regulation of cell-cell adhesion,the positive regulation of T cell activation,and chronic inflammatory response,while the down-regulated genes were mainly involved in biological processes such as cell aggregation,cartilage differentiation and development,and skeletal system morphogenesis.(3)KEGG pathway enrichment analysis showed that exosome-derived cartilage degeneration-related genes were mainly involved in tryptophan enrichment metabolism,vitamin B6 metabolism,and leukocyte transendothelial migration.(4)The constructed protein-protein interaction network confirmed the existence of multiple interaction relationships among exosome-derived cartilage degeneration-related genes.Combined with five algorithms in CytoHubba software,four key exosome-derived cartilage degeneration-related genes were further screened,namely THY1,CYP1A1,NFKB2,and COL6A3.(5)The results of qRT-PCR showed that compared with normal cartilage,the expressions of THY1 and COL6A3 in osteoarthritic cartilage were increased,while the expression of CYP1A1 and NFKB2 was decreased.Similarly,compared with the unstimulated group,the expression of THY1 and COL6A3 in the interleukin-1β induced chondrocytes was upregulated,while the expression of CYP1A1 and NFKB2 was downregulated.(6)These results indicate that THY1,CYP1A1,NFKB2,and COL6A3 are genes related to cartilage degeneration in the exosomes of synovial fluid of patients with osteoarthritis,and may participate in the pathogenesis of osteoarthritis by regulating biological processes such as protein tyrosine kinase activity and lipid metabolism,as well as nuclear factor-κB signaling pathway and focal adhesion signaling pathway.However,the specific regulatory roles and molecular mechanisms of these key genes in cartilage degeneration need to be further verified by experiments.

Objective:To compare the efficacy, safety, and cost-effectiveness of the trastuzumab originator (HST) versus its biosimilar (HLX02) combined with pertuzumab and chemotherapy as neoadjuvant treatment in patients with HER-2-positive breast cancer.Methods:This retrospective cohort study included 175 patients with HER-2-positive breast cancer who received neoadjuvant therapy followed by curative surgery at the Cancer Hospital Chinese Academy of Medical Sciences between October 2020 and January 2024. Patients were divided into two groups based on the trastuzumab formulation used: the HST group ( n=89) and the HLX02 group ( n=86).The efficacy, safety, and trastuzumab-related treatment costs were compared between the two groups. Moreover, using Logistic regression model to identify the factors influencing total pathological complete response (tpCR) rates. Results:There were statistically significant differences in clinical T stage and surgical approach between the HST and HLX02 groups ( P＜0.05). Other clinicopathological characteristics, such as age and histological grade, showed no statistically significant differences ( P＞0.05), with most baseline characteristics remaining balanced between the two groups. There were no significant differences in tpCR rates ( P=0.957) or Miller-Payne (MP) grading rates ( P=0.991) between the HST and HLX02 groups. The tpCR rates for the two groups were 55.1% (49/89) and 54.7% (47/86), respectively. The rates of achieving grade 5 (G5) in the postoperative MP pathological grading system were 55.1% (49/89) and 55.8% (48/86), respectively, with no statistically significant difference ( P=0.991). Univariate and multivariate Logistic regression analyses showed that hormone receptor status is an independent risk factor affecting tpCR ( OR=0.31, 95% CI; 0.16-0.61, P＜0.001). The incidence of adverse event during neoadjuvant therapy was similar between the groups, with no occurrences of trastuzumab-related cardiac toxicity. The HLX02 regimen showed a lower cost-effectiveness ratio (586.48 vs. 604.96) and reduced trastuzumab treatment costs during neoadjuvant therapy compared to HST [tpCR:(31 208.37±2 191.00) CNY vs. (33 224.49±2 741.00) CNY; non-tpCR: 33 030.05±5 787.00) CNY vs. (33 412.50±4 203.00) CNY, P＜0.05]. Conclusions:In the neoadjuvant treatment of early-stage HER-2-positive breast cancer, HLX02 combined with pertuzumab and chemotherapy demonstrates similar efficacy and safety to the trastuzumab originator, while offering a significant cost advantage.

Background:To compare the efficacy and safety of monthly administrations of gonadotropin releasing hormone (GnRH) agonists LY01005 and Zoladex ? in Chinese patients with premenopausal breast cancer. Methods:From October 2020 to November 2021, 188 premenopausal breast cancer patients were enrolled in 34 hospitals and randomized 1:1 to receive either LY01005 or Zoladex ? every 28 days for a total of three injections. All patients concomitantly received oral tamoxifen (TAM). The primary efficacy endpoint was cumulative probability of maintaining menopausal level [oestradiol (E2) ≤30 pg/ml] from day 29 to day 85. The second efficacy endpoint included changes in E2, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) compared with the baseline. Pharmacokinetics (PK), pharmacodynamics (PD), and safety were analyzed. The study also evaluated the pharmacokinetic and pharmacodynamic characteristics of LY01005. Results:A total of 188 patients were randomised and 187 patients received either LY01005 or Zoladex ?. Cumulative probabilities of maintaining menopausal level (E2≤30 pg/ml) from day 29 to day 85 were 93.1% for LY01005 and 86.3% for Zoladex ?. The between-group difference was 6.8% (95% CI: -2.3%, 15.9%) and primary efficacy in the LY01005 group was not inferior to that in the Zoladex ? group. Changes in E2, LH, and FSH levels compared with the baseline were equivalent between the two groups (E2: 89.34% to 90.23% vs. 82.11% to 85.02%; LH: 88.89% to 95.52% vs. 89.70% to 97.02%; FSH: 75.36% to 80.85% vs.73.07% to 80.24%, respectively). After three consecutive doses of LY01005, the LH and FSH levels of the subjects showed a transient increase after the first dose, reached a peak on the second day and then started to decrease. The LH and FSH reached a lower level and remained at or below that level until the 85th day. Both treatments were well-tolerated. Conclusion:LY01005 is as effective as Zoladex ? in suppressing E2 to menopausal levels in Chinese patients with premenopausal breast cancer, with a similar safety profile.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.

Objective:To construct patient-derived xenograft (PDX) models from head and neck squamous cell carcinoma (HNSCC) patients, to explore the effect of immune reconstitution timing on the PDX modeling and immune microenvironment in humanized immune system mice (huHSC-NCG-hIL15), and to provide a reliable animal model for research on the mechanisms of head and neck squamous carcinoma and for studies on immune therapy drug interventions.Methods:This study enrolled 28 HNSCC patients (25 laryngeal carcinomas, 3 hypopharyngeal carcinomas). PDX models were established in Balb/c nude (nu) mice, NSG mice, and humanized immune system-reconstituted huHSC-NCG-hIL15 mice. Fresh HNSCC samples were transplanted into Balb/c nu and NSG mice to generate PDX models, with subsequent analysis of success-associated factors. One successfully established PDX tumor was subsequently implanted into humanized immune system-reconstituted huHSC-NCG-hIL15 mice. Tumor transplantation was performed at distinct immune reconstruction timepoints (2 vs. 7 weeks post-reconstitution), and tumor growth patterns were monitored. Flow cytometry and multiplex immunohistochemical staining were utilized to characterize immunological profiles in peripheral lymphoid organs and tumor microenvironments. Hematoxylin-eosin (HE) staining was employed to assess histomorphological concordance between primary patient tumors and PDX model tissues. Results:HNSCC PDX models were successfully established. NSG mice exhibited a higher and more stable tumor take rate compared to Balb/c nu mice (pilot study: 4/10 vs. 3/10 cases; mean take rate 60%-80% vs. 20%-60 %). The PDX success rate in NSG mice was 46.4% (13/28). In the huHSC-NCG-hIL15 mice model with immune reconstitution at 7 weeks, tumors grew significantly faster, and the PDX modeling process was shorter (617 mm3 at day 70 in 7-week cohort vs.280 mm3 in 2-week cohort). Flow cytometry analysis of the immune microenvironment showed that at 7 weeks of immune reconstitution, the proportions of B cells in the spleen and tumor tissues(2-week vs. 7-week: spleen 16.2% vs. 61.7%, tumor 26.0% vs. 38.8%) and myeloid cells in the spleen (2-week vs. 7-week: spleen 47.2% vs. 88.1 %) were significantly higher, while mice at 2 weeks post-reconstitution showed a higher proportion of T cells (2-week vs. 7-week: spleen 13.2% vs. 9.3%, tumor 4.8% vs. 2.5%). HE results demonstrated that the tumor tissues in PDX models maintained a high degree of morphological similarity to the primary tumors in both NSG and huHSC-NCG-hIL15 mouse models. Conclusion:The HNSCC PDX modeling protocol demonstrates operational feasibility and high reproducibility, establishing this model as a robust platform for mechanistic and immunotherapeutic studies.

The Hedgehog (Hh) signaling pathway is a critical transduction system regulating cell proliferation, differentiation, and tissue homeostasis during embryonic development. Its aberrant activation is closely associated with the pathogenesis of malignancies such as basal cell carcinoma and medulloblastoma. Although Smoothened (SMO)-targeting inhibitors have received clinical approval, their therapeutic efficacy is limited by acquired resistance mutation and compensatory pathway activation. Glioma-associated oncogene homolog 1 (GLI1), the terminal effector transcription factor of the Hh pathway, has emerged as a promising therapeutic target due to its tumor-specific overexpression and lower propensity for resistance induction. However, GLI1 is classified as an "undruggable" target due to the absence of well-defined ligand-binding pockets, low inhibitory activity, and poor drug-like properties. Currently, no GLI1 inhibitor has entered clinical trials. This review systematically analyzes multidimensional modulation strategies (e.g., allosteric modulation, protein-protein interaction disruption, targeted protein degradation) for targeting transcription factors, based on the structural and functional features of GLI1-DNA interaction combined with recent advances in structural biology and chemical biology, offering new paradigms to overcome therapeutic barriers against undruggable targets.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.