Breast cancer prevention and treatment have become major issues that urgently need to be addressed in the field of global public health. As a key pathological transitional stage in the progression of breast cancer， preneoplastic breast cancer （PBC） carries a significant risk of clinical transformation. Effective intervention in the progression of PBC is of great clinical significance in preventing the occurrence of breast cancer. Pathological studies have shown that abnormal angiogenesis is a key mechanism driving the transformation of PBC into breast cancer. Vascular endothelial growth factor （VEGF）， as a core regulatory molecule that promotes angiogenesis， plays a pivotal role in this process. The malignant transformation of PBC is closely associated with the abnormal activation of the VEGF-mediated pro-angiogenic network. Although modern medicine has achieved certain therapeutic effects through surgery and endocrine therapy， clinical limitations such as invasiveness， drug resistance， and adverse reactions still exist. Recent studies have demonstrated that the VEGF signaling system mediates the phosphatidylinositol 3-kinase-protein kinase B （PI3K/Akt） signaling pathway and the mitogen-activated protein kinase （MAPK） pathway. In addition， the hypoxia-inducible factor-1α （HIF-1α）/VEGF signaling pathway and the delta-like ligand 4 （DLL4）/Notch receptor 1 （Notch1） signaling pathway， together with other pathways， form a complex regulatory network that plays a central role in angiogenesis during PBC. Traditional Chinese medicine （TCM）， characterized by multi-component synergy， multi-pathway regulation， and high safety， demonstrates significant advantages in inhibiting pathological angiogenesis and blocking PBC progression by targeting the VEGF signaling pathway. From the perspective of VEGF pathway regulation， this paper systematically reviews the latest research progress on TCM in inhibiting angiogenesis and intervening in PBC， and discusses its mechanisms and application value in the early prevention and treatment of PBC， with the aim of providing references for optimizing clinical intervention strategies for PBC.

Breast cancer is the leading cause of cancer-related mortality among women worldwide and has drawn extensive research attention.Owing to its molecular heterogeneity,drug resistance,and low therapeutic response,single-modality treatments often fail to achieve satisfactory efficacy or broad applicability.Combination therapy,designed based on the pathophysiological characteristics,related signaling pathways,and biomarkers of breast cancer,has emerged as a promising approach for improving therapeutic outcomes.With the advancement of research on combination strategies,the understanding of their molecular mechanisms—particularly key signaling pathways and biomarkers—has become increasingly important.However,comprehensive reviews addressing these molecular mechanisms and synergistic strategies remain scarce.This article summarizes recent advances in combination therapy for breast cancer,providing a comprehensive review of recent combination therapies for breast cancer and their underlying molecular mechanisms,and focusing on key signaling pathways involved in combination therapy and synergistic strategies,thereby providing theoretical insights and reference for researchers,graduate students,and clinicians engaged in the development of novel combination therapeutic strategies for breast cancer and related malignancies.

Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.

Objective To develop a risk prediction model for ischemic stroke in symptomatic intracranial atherosclerotic stenosis(ICAS)patients based on high-resolution magnetic resonance imaging(HR-MRI)and arterial spin labeling(ASL)imaging.Methods A total of 142 patients were included and divided into acute ischemic stroke(AIS)and transient ischemic attack(TIA)groups based on stroke occurrence.Clinical risk factors,plaque characteristics,and arterial transit artifact(ATA)presence on ASL images were compared between the two groups.Multivariate logistic regression analysis was performed,incorporating clinical risk factors,plaque characteristics,and double post labeling delay(PLD)ATA presence.The predictive value of different models was compared using receiver operating characteristic(ROC)curve and DeLong tests.Results Hypertension,positive lumen remodeling,plaque enhance-ment rate,1.5 s-ATA presence,and 2.5 s-ATA presence were independent risk factors for AIS(P＜0.05).The combination of HR-MRI and ASL imaging predicted AIS most effectively[area under the curve(AUC)=0.908;95％ confidence interval(CI)0.862-0.954].No significant difference was found between the prediction performances of HR-MRI and ASL(95％CI-0.041-0.082,Z=0.659,P=0.509).Conclusion ASL is more convenient than HR-MRI for predicting ischemic stroke in ICAS patients.A model combining plaque characteristics and ATA presence effectively predicts AIS occurrence.

Objective To investigate the effects of Huayu Xiaopi Decoction on the proliferation and migration of AGS cells;To explore its mechanism in treating precancerous lesions of gastric cancer.Methods AGS cells were divided into blank group,inhibitor group and Huayu Xiaopi Decoction high-,medium-and low-dosage groups.The blank group was cultured with 15%control serum,the inhibitor group was cultured with 10 μmol/L HIF-1α inhibitor,and the Huayu Xiaopi Decoction high-,medium-and low-dosage groups were cultured with 12%,6%and 3%drug containing serum,respectively.CCK-8 method was used to detect cell survival rate,cell migration ability was detected by scratch test,immunofluorescence was used to detect the expressions of proliferating cell nuclear antigen(PCNA),matrix metalloproteinase(MMP)-2 and MMP-9 in AGS cells,the expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 mRNA and HIF-1α,COX-2,VEGF,VEGFR2 proteins in AGS cells were detected by RT-PCR and Western blot.Results Compared with the blank group,the cell survival rate and migration rate were significantly decreased in the inhibitor group and each dosage of Huayu Xiaopi Decoction groups(P<0.05),the expressions of PCNA,MMP-2 and MMP-9 significantly decreased in the inhibitor group and Huayu Xiaopi Decoction high-and medium-dosage groups(P<0.05),the mRNA expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 and the protein expression of HIF-1α,COX-2,VEGF,VEGFR2 were significantly decreased(P<0.05).Conclusion Huayu Xiaopi Decoction can inhibit the proliferation and migration of AGS cells,and its mechanism is related to the regulation of the expression of key molecules in HIF-1α/VEGF signaling pathway.

Breast cancer is the leading cause of cancer-related mortality among women worldwide and has drawn extensive research attention.Owing to its molecular heterogeneity,drug resistance,and low therapeutic response,single-modality treatments often fail to achieve satisfactory efficacy or broad applicability.Combination therapy,designed based on the pathophysiological characteristics,related signaling pathways,and biomarkers of breast cancer,has emerged as a promising approach for improving therapeutic outcomes.With the advancement of research on combination strategies,the understanding of their molecular mechanisms—particularly key signaling pathways and biomarkers—has become increasingly important.However,comprehensive reviews addressing these molecular mechanisms and synergistic strategies remain scarce.This article summarizes recent advances in combination therapy for breast cancer,providing a comprehensive review of recent combination therapies for breast cancer and their underlying molecular mechanisms,and focusing on key signaling pathways involved in combination therapy and synergistic strategies,thereby providing theoretical insights and reference for researchers,graduate students,and clinicians engaged in the development of novel combination therapeutic strategies for breast cancer and related malignancies.

Objective To explore the effect and mechanism of Slc1a2 overexpression on cognitive dysfunction in sleep-deprived mice.Methods A total of 130 mice were divided into five groups:normal sleep(NS),NS+ov-Slc1a2,sleep deprivation(SD),SD+ov-NC,and SD+ov-Slc1a2,with 26 mice in each group.The SD mice model was established using an automatic system based on a rotating rod,and overexpress Slc1a2 adenovirus was injected into the prefrontal cortex(PFC).Immunofluorescence and Western blotting were used to detect the expression of Slc1a2 in the mouse PFC.Electrophysiological tests were used to evaluate non-rapid eye movement(NREM)sleep time,rapid eye movement(REM)sleep time,and wakefulness time in mice.Real-time quantitative PCR was used to detect the expression of glutamate(Glu)and gamma-aminobutyric acid(GABA)metabolic enzymes in the mouse PFC.Whole-cell patch-clamp recording was used to detect the frequency and amplitude of miniature excitatory postsynaptic currents(mEPSC)in mouse PFC.Immunofluorescence was used to detect the proportion of GABA-positive cells in the mouse PFC.The C11-BODIPY fluorescent probe was used to detect lipid reac-tive oxygen species(ROS)levels in mouse PFC.Commercial kits were used to detect Fe2+and malondialdehyde(MDA)levels in the mouse PFC.Cognitive function in mice was evaluated using the open field,novel object recognition,and Y-maze tests.Results Compared with the NS group,the NREM sleep time,REM sleep time,central area stay time,recognition index,and novel wall selection index increased significantly,while wakefulness time decreased significantly in the NS+ov-Slc1a2 group(all P＜0.05).The percentage of Slc1a2+GFAP+cells,expression of Slc1a2 protein,expression of Glul,Slc6a1,and Abat mRNA,frequency and amplitude of mEPSC,and proportion of GABA-positive cells in the PFC increased significantly,whereas lipid ROS,Fe2+,and MDA levels decreased significantly(all P＜0.05).Compared with the NS group,the NREM sleep time,REM sleep time,central area stay time,recognition index,and novel wall selection index of the SD group and the SD+ov-NC group were significantly decreased,whereas wakefulness time was significantly increased(all P＜0.05).The percentage of Slc1a2+GFAP+cells,expression of Slc1a2 protein,expression of Glul,Slc6a1,and Abat mRNA,frequency and amplitude of mEPSC,and proportion of GABA-positive cells in the mouse PFC decreased significantly,whereas lipid ROS,Fe2+,and MDA levels increased significantly(all P＜0.05).Compared with the SD and SD+ov-NC groups,the NREM sleep time,REM sleep time,central area stay time,recognition index,and novel wall selection index of the SD+ov-Slc1a2 group increased significantly,whereas the wakeful-ness time decreased significantly(all P＜0.05).The percentage of Slc1a2+GFAP+cells,the expression of Slc1a2 protein,the expression of Glul,Slc6a1,and Abat mRNA,the frequency and amplitude of mEPSC,and the proportion of GABA-positive cells in the mouse PFC increased significantly,whereas lipid ROS,Fe2+,and MDA levels decreased significantly(all P＜0.05).Conclusion Ectopic overexpres-sion of Slc1a2 in the PFC can improve sleep disorders in SD mice,reduce the damage caused by SD to excitatory synaptic transmission and GABAergic neuron function in the PFC,and alleviate cognitive impairment and anxiety-like behavior in these mice.Its mechanism may be related to the improvement of Glu/GABA metabolic imbalance in the PFC and inhibition of ferroptosis.

Purpose To investigate the expression of SNRPA in gastric cancer and its effect on the proliferation,migration and invasion of gastric cancer cells.Methods The expression of SNRPA in gastric cancer tissues was ana-lyzed using The Cancer Genome Atlas(TCGA)database.The level of SNRPA was detected by immunohistochemistry(EnVision method),and its relationship with clinicopathological parameters was analyzed.Western blot was used to detect the expression of SNRPA in 15 cases of fresh gastric cancer and paracancerous tissues.The expression of SNRPA in MGC-803 and GES-1 cells was detected by immunofluorescence staining.The effects of SNRPA expression on the proliferation,migration and invasion of gastric cancer cell lines were determined by RNA interference technology and cell function assays,and the expression levels of Cyclin D1 protein and EMT-related proteins(E-cadherin,N-cadher-in)were detected by Western blot.Results The expression level of SNRPA in gastric cancer tissues was significantly higher than that in normal gastric mucosal tissues(P＜0.05),with an area under the curve(AUC)of 0.902 for diag-nostic accuracy.The Kaplan-Meier survival curves showed that the survival time of the group with high expression of SNRPA was shorter.SNRPA expression correlated with tumor size,Ki67,infiltration depth,and p53 status(P＜0.05).Compared with the corresponding control group,SNRPA silencing inhibited the proliferation,migration and in-vasion ability of gastric cancer cells,accompanied by decreased Cyclin D1 and N-cadherin expression and increased E-cadherin expression(P＜0.05).Conclusion SNRPA expression is upregulated in gastric cancer tissues and cell lines,promoting the proliferation,migration,and invasion of gastric cancer cells,and may be a potential molecular marker for gastric cancer.

Purpose To investigate the expression of SNRPA in gastric cancer and its effect on the proliferation,migration and invasion of gastric cancer cells.Methods The expression of SNRPA in gastric cancer tissues was ana-lyzed using The Cancer Genome Atlas(TCGA)database.The level of SNRPA was detected by immunohistochemistry(EnVision method),and its relationship with clinicopathological parameters was analyzed.Western blot was used to detect the expression of SNRPA in 15 cases of fresh gastric cancer and paracancerous tissues.The expression of SNRPA in MGC-803 and GES-1 cells was detected by immunofluorescence staining.The effects of SNRPA expression on the proliferation,migration and invasion of gastric cancer cell lines were determined by RNA interference technology and cell function assays,and the expression levels of Cyclin D1 protein and EMT-related proteins(E-cadherin,N-cadher-in)were detected by Western blot.Results The expression level of SNRPA in gastric cancer tissues was significantly higher than that in normal gastric mucosal tissues(P＜0.05),with an area under the curve(AUC)of 0.902 for diag-nostic accuracy.The Kaplan-Meier survival curves showed that the survival time of the group with high expression of SNRPA was shorter.SNRPA expression correlated with tumor size,Ki67,infiltration depth,and p53 status(P＜0.05).Compared with the corresponding control group,SNRPA silencing inhibited the proliferation,migration and in-vasion ability of gastric cancer cells,accompanied by decreased Cyclin D1 and N-cadherin expression and increased E-cadherin expression(P＜0.05).Conclusion SNRPA expression is upregulated in gastric cancer tissues and cell lines,promoting the proliferation,migration,and invasion of gastric cancer cells,and may be a potential molecular marker for gastric cancer.

Objective:To analyze the attributable burden of active smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province.Methods:Comparative risk assessment approach in the Global Burden of Disease Study was used with the data from Zhejiang Adult Tobacco Surveillance System and Death Monitoring Surveillance System in 2020, and population attributable fraction (PAF), years of life lost (YLL), work of potential years of life lost (WPYLL) attributed to smoking on the deaths of cancer in inhabitants aged 30 years and above in Zhejiang Province were calculated with a linear regression model.Results:In 2020, there were 81 536 cancer deaths aged 30 years and above in the surveillance areas of Zhejiang Province, of which 24 518 were attributed to active smoking (PAF: 30.07%, attributable mortality rate: 55.04/100 000). The YLL was 553 078 person-years, with a standardized YLL rate of 12.40‰, and the WPYLL was 56 606 person-years. Among various cancer types, laryngeal cancer had the highest smoking-attributable PAF (44.75%), while lung cancer accounted for the most significant number of attributable deaths and life loss, with an age-standardized YLL rate of 4.65‰.Conclusions:Active smoking is a significant risk factor for cancer mortality in Zhejiang Province, with lung cancer posing the most significant disease burden. It is urgent to advance tobacco control legislation, strengthen targeted interventions, and promote early cancer screening to reduce the disease burden associated with smoking-related cancers effectively.