Malignant tumors represent a major threat to global health. Conventional anti-tumor pharmacotherapy often encounters challenges such as drug resistance, highlighting an urgent need for the development of novel therapeutic strategies. Fatty acid synthase (FASN), the key enzyme catalyzing de novo fatty acid synthesis, is subject to precise regulation at multiple levels, including transcriptional control, various post-translational modifications such as ubiquitination and phosphorylation, as well as modulation by diverse signaling pathways. Recent studies have revealed that FASN is aberrantly overexpressed in various malignant tumors and is closely associated with tumor progression and poor patient prognosis. FASN is a homodimer composed of seven functional domains that catalyzes the NADPH-dependent condensation of acetyl-CoA and malonyl-CoA to generate saturated fatty acids, primarily palmitic acid. Its stability is regulated by multiple ubiquitin ligases and deubiquitinating enzymes. Additionally, FASN is subject to upstream regulation via neural precursor cell-expressed developmentally downregulated 8 (Nedd8) modification and the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway, thereby establishing a metabolic-signaling positive feedback loop. As a core executor of metabolic reprogramming, FASN promotes tumorigenesis through dual mechanisms. First, its fatty acid synthesis product, palmitate, participates in membrane phospholipid synthesis, lipid raft formation, and protein palmitoylation, thereby activating several key oncogenic signaling pathways, including PI3K/AKT/mTOR, wingless-type MMTV integration site family member (Wnt)/β‑catenin, and signal transducer and activator of transcription 3 (STAT3)/matrix metalloproteinase (MMP), leading to tumor development and progression. Second, FASN plays a pivotal role in modulating the anti-tumor functions of immune cells and remodeling the tumor immune microenvironment. Specifically, FASN enhances immune checkpoint inhibition by inducing programmed death-ligand 1 (PD-L1) palmitoylation, suppresses the activation of cytotoxic T lymphocytes and natural killer cells, and promotes the polarization of M2-type macrophages, consequently facilitating tumor immune evasion and malignant progression. Precisely due to its significant overexpression in tumor cells, its critical functional role, and its differential expression compared to normal cells, FASN has emerged as a highly promising target for anti-tumor drug development. Highly selective small-molecule inhibitors, notably represented by TVB-2640, have advanced to clinical trial stages and demonstrated favorable anti-tumor activity. Furthermore, the combination of FASN inhibitors with other chemotherapeutic agents or targeted drugs can overcome the limitations of monotherapy through synergistic effects or by resensitizing tumor cells to conventional drugs, achieving a “1+1>2” therapeutic outcome. With the advancement of modern traditional Chinese medicine (TCM), numerous active ingredients derived from TCM have been confirmed to exert anti-tumor effects by modulating FASN-related pathways. This integrated approach leverages the precision of Western medicine while simultaneously harnessing the holistic regulatory benefits of TCM to alleviate the side effects of radiotherapy and chemotherapy. Despite the promising prospects of FASN-targeted therapies, challenges remain, including tumor cell metabolic plasticity, tumor context-dependent responses, and heterogeneity. This review systematically summarizes the molecular structure, physiological functions, and mechanisms of FASN in tumorigenesis, as well as recent advances in targeted therapies. Future directions—including the precise identification of responsive patient populations using spatial transcriptomics, the development of novel combination regimens, and the active exploration of integrative strategies combining traditional Chinese and Western medicine—will facilitate the clinical translation of FASN-targeted therapies and open new avenues for improving the quality of life and prognosis of cancer patients.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Objective To explore the relationship between insulin resistance and idiopathic central precocious puberty(ICPP)in girls and the diagnostic value of insulin resistance.Methods Clinical data of 245 girls aged 4 to 7.5 years with low luteinizing hormone(LH)levels(0.2-0.83 IU/L),normal body weight(body mass index standard deviation score between-2 and+2),and early breast development who visited the Department of Pediatric Endocrinology,Henan Provincial Maternal and Child Health Hospital from January 2022 to March 2025 were retrospectively analyzed.According to the Expert Consensus on the Diagnosis and Treatment of Central Precocious Puberty(2022),patients were assigned to an ICPP group(n=123)or a control group(n=122).Correlations between the homeostasis model assessment of insulin resistance(HOMA-IR)and selected indices were assessed.Multivariable logistic regression was used to evaluate the association between HOMA-IR and ICPP,and the diagnostic performance of various indices for ICPP was evaluated.Results HOMA-IR was higher in the ICPP group than in the control group(P<0.001)and was positively correlated with LH peak(rs=0.467,P<0.05)and the LH peak/FSH peak ratio(rs=0.444,P<0.05).The multivariable logistic regression model including age,BMI,and basal LH showed that HOMA-IR was closely associated with ICPP(OR=2.756,95%CI:1.940-3.913).Receiver operating characteristic curve analysis showed that the areas under the curve for basal LH,HOMA-IR,and their combination in diagnosing ICPP were 0.735,0.735,and 0.805,respectively(P<0.05),and the combined model had a greater area under the curve than either basal LH or HOMA-IR alone(both P<0.05).Conclusions HOMA-IR is closely associated with ICPP in girls with low LH and normal body weight,and combining HOMA-IR with basal LH improves early identification and diagnostic efficiency in this population.

Objective:To investigate the changes in N100, P300, and N400 of event-related potential(ERP) in children with obstructive sleep apnea (OSA), and provide the basis for evaluating cognitive and neurological impairment in pediatric OSA.Methods:Totally 108 children aged 5-10 years who visited the Sleep Center of Beijing Children's Hospital due to snoring or mouth breathing were recruited from June to September, 2023, and ultimately 90 children were included in the study.According to the obstructive sleep apnea hypopnea index (OAHI) in their polysomnography (PSG) results, children with OAHI>1 time/h were classified as OSA group ( n=74), and children with OAHI ≤ 1 time/h were classified as non-OSA group ( n=16).All participants completed the auditory oddball and Peabody image vocabulary test tasks, and the EEG data collected through ERP technology were compared between the two groups.SPSS 26.0 software was used for statistical analysis, and independent samples t-test or non parametric test was used for comparison between the two groups. Results:The P300 latency of OSA children in lead Fz was significantly longer than that of non OSA children (330.00(308.00, 396.00) ms, 309.00(294.50, 337.50)ms), and the difference was statistically significant ( Z=-2.143, P=0.032). The latency of P300 was positively correlated with apnea hypopnea index(AHI)(Fz lead: r=0.332, Cz lead: r=0.239, Pz lead: r=0.213, all P<0.05). There was no statistically significant difference in P300 latency between Cz and Pz leads ( Z=-1.615, P=0.106; Z=-1.055, P=0.291). There was no statistically significant difference in the amplitude of P300 among the leads (all P>0.05). There was no statistically significant difference in the amplitude and latency of N100 and N400 (both P>0.05). Conclusion:The latency of P300 in OSA children is significantly longer than that in non-OSA children, indicating impaired cognitive function. The latency of auditory P300 might serve as an early neuroelectrophysiological biomarker for identifying cognitive impairment in OSA children.

Objective:To investigate the application value of exercise rehabilitation mode based on cardiopulmonary exercise testing(CPET)in the treatment and rehabilitation of coronary heart disease(CHD).Methods:This ran-domized controlled study enrolled 260 CHD patients admitted in Hai'an People's Hospital between January 2021 and June 2022.They were divided into control group(n=130,routine nursing)and intervention group(n=130,addi-tional exercise rehabilitation training nursing).After 6-month intervention,scores of Heart Health-Self-Effica-cy and Self-Management(HH-SESM)scale,Chinese Quality of Life Questionnaire for Cardiovascular Patients(CQQC),peak oxygen uptake(VO2peak),percentage of peak oxygen uptake in predicted maximum(VO2peak％Pred),peak metabolic equivalent(peak Mets),cardiac function indexes,and incidence of adverse events were com-pared between two groups.Results:After intervention,compared with patients in control group,those in interven-tion group had significant higher scores of HH-SESM[(76.57±5.88)points vs.(64.51±5.16)points]and CQQC[(111.66±7.93)points vs.(84.16±6.96)points],VO2peak[(1.41±0.11)L/min vs.(1.19±0.26)L/min],VO2peak％Pred[(59.32±3.51)％vs.(51.27±3.11)％],peak Mets[(7.89±1.86)vs.(5.22±1.16)],6MWD[(473.53±18.12)m vs.(354.27±23.11)m],and significant lower serum N-terminal pro brain natri-uretic peptide(NT-proBNP)[(5.13±2.17)pg/ml vs.(13.81±2.22)pg/ml],cardiac troponin Ⅰ(cTnⅠ)[(2.90±0.51)ng/ml vs.(4.76±1.32)ng/ml](P＜0.001 all).Intervention group had significant lower incidence of adverse events comparing to control group(3.85％vs.13.85％,P=0.005).Conclusion:Exercise rehabilitation treatment based on cardiopulmonary exercise test could effectively improve self-efficacy and self-management,quality of life,cardiopulmonary function and reduce risk of adverse events in patients with coronary heart disease.

The integration of science and education is not only an important strategy for promoting social progress and technological development,but also a modern form of higher education aiming at cultivating innovative talents.Conducting scientific research training for undergraduate medical students is one of the important ways to cultivate their innovative abilities and comprehensive qualities.Our team proposed a"teaching,science,and ideology trinity"teaching model to comprehensively cultivate students' scientific research comprehensive abilities under the value orientation of ideological and political education by or-ganically integrating molecular biology experimental teaching with the scientific research training of under-graduate medical students.In this teaching activity,taking the experiment of gene polymorphism as an example,our team selected students with research potential from the whole grade and divided them into 4 project groups that were instructed by 4 teachers.The students were trained in the whole process of scien-tific research,including topic selection,project writing,experimental designing,application for research ethics,and project summary.Our team has always adhered to student-contentedness of educational con-cepts to stimulate students' intrinsic motivation throughout the teaching process.Students are the design-ers and implementers of the project,and teachers are only guides and promoters of learning.After this training,students not only became familiar with the writing and implementation of scientific research pro-jects,but also improved their literature reading,experimental designing,experimental skills,and prob-lem-solving abilities.More importantly,this teaching activity also cultivated students' awareness of re-search ethics and academic moral standards.

Objective To screen the differentially expressed circular RNA(circRNA)in peripheral blood of patients with type 2 diabetic nephropathy(T2DN)and study the correlation between the expression of circAKT3 level and renal fibrosis.Methods A retrospectively study was conducted on 176 T2DM patients admitted to Mianyang 404 Hospital from December 2022 to December 2023 based on whether the patients developed DN,they were divided into a simple T2DM group(n=60)and DN group(n=116).At the same time,30 healthy subjects who underwent physical examination in Mianyang 404 Hospital during the same period were selected as the control group.Clinical data of all subjects were collected.DN patients were divided into microalbuminuria group(M-DN group,n=66)and macroalbuminuria group(MS-DN group,n=50)according to Mogensen classification criteria.Twenty samples were randomly selected from the control group,M-DN group,T2DM group and MS-DN group,and 2 ml peripheral venous blood was extracted for RNA extraction and circRNA microarray scanning analysis to screen the differentially expressed circRNA.The correlation between the most significant differential circRNA expression level and renal fibrosis markers and renal function indicators was statistically analyzed.Receiver operator characteristic(ROC)curve was used to analyze the diagnostic efficacy of circAKT3 for DN.Results Compared with the control group,the level of circAKT3 in MS-DN patients was down-regulated by 9.72 times,which was the most significantly down-regulated circRNA.qRT-PCR showed that compared with the control group,the relative expression of circAKT3 in the T2DM group,M-DN group and MS-DN group was 0.85±0.23,0.54±0.13 and 0.12±0.09,respectively,with the progression of DN,the relative expression level of circAKT3 in peripheral blood of patients gradually decreased,and the differences were statistically significant(t=5.100,8.568,10.960,all P＜0.001).Spearman correlation test showed that the level of circAKT3 in peripheral blood of DN patients was correlated with the duration of diabetes,serum Creatinine,BUN,cystatin C,TGF-β,CIV,PCIII and Alb were negatively,correlated(r=-0.756～-0.621,all P＜0.05).Glomerular filtration rate was positively correlated(r=0.695,P=0.010).ROC curve analysis showed that the sensitivity and specificity of circAKT3 in the diagnosis of DM were 75.3%and 71.1%,respectively,and the AUC was 0.792.The sensitivity,specificity and AUC for M-DN were 90.3%,85.7%and 0.875,respectively,and the sensitivity,specificity and the AUC for MS-DN were 88.2%,87.6%and 0.916,respectively.Conclusion The level of serum circAKT3 is significantly down-regulated in DN patients,which can be used as a potential auxiliary diagnostic marker of DN.

Objective To investigate the CT and MRI findings of rhabdomyosarcoma(RMS).Methods A retrospective analysis was conducted on CT and/or MRI data of 19 cases of pathologically confirmed RMS.The growth location,morphology,density/sig-nal intensity,enhancement pattern,and infiltration scope of the lesions were analyzed.Results Among the 19 patients,12 lesions were located in the head and neck regions(sinuses,nasal cavity,masseter muscle,infratemporal fossa,nasopharynx,and gum),2 in the lower extremities,1 in the left heart,1 in the mediastinum,1 in the prostate,1 in the testicle,and 1 in the pelvis.On CT scans,the lesions appeared as homogeneously iso-or hypodensity compared to the muscle,with homogeneous or inhomogeneous enhancement on contrast-enhanced scans.On MRI,the lesions exhibited iso-or hypointense signals on T1WI and inhomogeneous hyperintense signals on T2WI,with inhomogeneous enhancement on contrast-enhanced scans.All lesions had irregular morphologies but clear boundaries,and no calcification or hemorrhage was observed within the lesions.Lesions in the sinuses often invaded adjacent sinus cavities or the nasal cavity and orbit,and some lesions could involve the intracranial cavity through the cranial base foramina.Bone destruction could occurred.Regional lymph node enlargement in the drainage area was observed in some cases.One case exhibited multiple osseous metastases.Conclusion RMS can occur in various parts of the body,with the head and neck being the most common site.Most cases lack specificity,but CT and MRI is helpful to understand the location of the disease,its invasion of surrounding tissues,and the presence of metastasis,thereby assisting in treatment and prognosis evaluation.

Objective To investigate the expression of microRNA-508-3p(miR-508-3p)in epithelial ovarian cancer(EOC)tissue,its impact on the migration and invasion of ovarian cancer cells,and its regulatory relationship with zinc-finger E-box-binding homeobox 1(ZEB1).Methods The surgical resection of EOC cancer tissues and paired adjacent normal tissues were collected.SKOV3 cells were divided into the NC mimic group(transfected with NC mimic),miR-508-3p mimic group(transfected with miR-508-3p mimic),si-NC group(transfected with si-NC),si-ZEB1 group(transfected with si-ZEB1)and co-transfection group(co-transfected with si-ZEB1 and miR-508-3p mimic).The mRNA expression levels of miR-508-3p and ZEB1 in EOC cancer tissues,adjacent normal tissues and five groups of cells were measured by real-time quantitative polymerase chain reaction.The Transwell assay was used to detect the cell migration and invasion abilities.Results The relative expression levels of miR-508-3p in EOC tissues and adjacent normal tissues were 0.77±0.36 and 1.07±0.40,the relative expression levels of ZEB1 mRNA in EOC tissues and adjacent normal tissues were 2.10±1.21 and 1.29±0.95,and the differences were statistically significant(all P＜0.01).The migration cell number of the NC mimic,miR-508-3p mimic,si-NC,si-ZEB1 and co-transfection groups was 633.00±32.49,319.20±19.89,650.40±25.85,375.00±17.25 and 129.40±17.10;the invasion cell number was 527.20±25.01,288.60±16.68,520.00±25.83,293.40±18.37 and 76.60±8.76;the relative expression levels of miR-508-3p were 1.05±0.37,3.94±1.21,1.01±0.21,1.26±0.34 and 3.40±0.41;the relative expression levels of ZEB1 mRNA were 1.00±0.04,0.58±0.05,1.00±0.08,0.54±0.07 and 0.29±0.03,respectively.The above indicators showed statistically significant differences between the miR-508-3p mimic group and the NC mimic group,between the si-NC group and the co-transfection group(P＜0.01,P＜0.05).Conclusion MiR-508-3p is lowly expressed in EOC cancer tissue,and it may inhibit the migration and invasion of ovarian cancer cells by targeting ZEB1 expression.