1.Umbrella decision-making model for diagnosis and treatment of elderly lung cancer patients: Construction and practice
Lunxu LIU ; Jian ZHOU ; Xiang DING ; Nan CHEN ; Jianxin XUE ; Xuelei MA ; Ye WANG ; Weiya WANG ; Liqing PENG ; Xin YOU ; Minggang SU ; Xu CHENG ; Jiao WANG ; Ning GE ; Deying KANG ; Yuchen HUANG ; Jinghan WANG ; Yu TONG ; Yaoxi ZHANG ; Jirong YUE ; Hu LIAO
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):833-839
With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.
2.Clinical characteristics of patients with autoimmune encephalitis and related factors of social frailty
Yue XU ; Yang XIANG ; Jing WANG
Journal of Public Health and Preventive Medicine 2026;37(4):155-159
Objective To explore the clinical characteristics of autoimmune encephalitis (AE) and the related factors of social frailty. Methods A total of 412 patients with AE admitted to the hospital between January 2020 and August 2025 were collected as research subjects. According to the occurrence status of social frailty, the above patients were classified into social frailty group (n=166) and control group (n=246). The clinical data of patients were analyzed, Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.. Results Among the 412 patients, 166 cases (40.29%) had social frailty and 246 cases (59.71%) did not have social frailty. The proportions of age≥40 years old, language disorder, epileptic seizure, acute onset and abnormal cranial magnetic resonance imaging (MRI) in the social frailty group were higher than those in the control group (Multivariate logistic regression analysis was used to analyze the related factors of social frailty in patients with AE.P<0.05). Age≥40 years old, language disorder, acute onset, Abnormal cranial magnetic resonance imaging is a related factor for the occurrence of social frailty in patients with AE (P<0.05). The area under the curve of the logistic regression model for prediction was 0.851, suggesting that the model had good predictive value. Conclusion Age, language disorder, epileptic seizure, acute onset and cranial MRI abnormality are important risk factors of social frailty in patients with AE. The prediction model based on these factors exhibits good clinical application value.
3.Brain-Tumor Axis-Driven Multimodal Therapy Resistance in Breast Cancer: Neuroendocrine-Immunometabolic Mechanisms and Translational Interventions
Yue WANG ; Die WANG ; Yuanzhi XIANG ; Haihong QIAN
Cancer Research on Prevention and Treatment 2026;53(7):561-565
Treatment resistance, recurrence, and metastasis of breast cancer remain critical issues affecting long-term patient survival. Chronic psychological stress may act as a host biological driver of breast cancer treatment resistance rather than a mere comorbidity. Through the sustained activation of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis, also referred to as the "brain-tumor axis", stress signaling reshapes inflammatory, immune, and metabolic networks within the tumor microenvironment and thereby influences chemotherapy, endocrine therapy, anti-HER2 therapy, immunotherapy, and radiotherapy. Current evidence indicates that the key pathways with translational potential are mainly the β-adrenergic axis and the glucocorticoid receptor (GR) pathway. The former is more involved in amplifying inflammatory responses, promoting immunosuppression and metastasis, whereas the latter is closely associated with anti-apoptosis, maintenance of tumor stemness, and reprogramming of estrogen receptor function. This review focuses on the discrepancies in evidence regarding these pathways between population-based studies and preclinical models, and discusses clinically operable non-pharmacologic interventions such as cognitive behavioral stress management, nurse navigation and treatment adherence support, and exercise interventions during the neoadjuvant phase. Although high-level evidence for direct survival benefit remains limited, these interventions have shown favorable effects on cortisol levels, depressive symptoms, quality of life, adherence, relative dose intensity, and some biology-related intermediate endpoints, making them valuable complementary approaches in comprehensive breast cancer management.
4.Protective effect of Gynostemma pentaphyllum on memory of individuals rapidly ascending to high altitudes
Na MI ; Weifeng WANG ; Xiang CHENG ; Ying ZHANG ; Xiangpei YUE ; Yifan ZHAO ; Junli YANG ; Lingling ZHU
Military Medical Sciences 2025;49(3):192-197
Objective To investigate the protective effect of Gynostemma pentaphyllum on memory of individuals rapidly ascending to high altitudes.Methods Twenty-one healthy subjects were randomly divided into a G.pentaphyllum food group(n=12)and a control group(n=9).The first group consumed G.pentaphyllum food for seven consecutive days while the control group received placebos.Both groups ascended from the plains to an altitude of 3600 m.Memory function was assessed using the matching memory and sequential memory tests of a cognitive evaluation system on day 1 and day 7 on the plains,and at 24 and 48 h after ascending to the high altitude.Scores of acute mountain sickness symptoms were also recorded.Results After 24 h of stay at the high altitude,the score of headache of the G.pentaphyllum food group was significantly lower than that of the control group(P<0.05).Cognitive test results showed that the matching memory accuracy and sequential memory accuracy of the control group at 24 and 48 h were significantly lower than those on the plains(P<0.05).In contrast,the G.pentaphyllum food group performed significantly better than the control group in these metrics(P<0.05).Conclusion Regular consumption of G.pentaphyllum food can effectively alleviate headache symptoms in individuals rapidly ascending to high altitudes and mitigate the decline in working memory,short-term memory,and memory spans caused by acute hypoxic exposure.
5.Prediction of Pulmonary Nodule Progression Based on Multi-modal Data Fusion of CCNet-DGNN Model
Lehua YU ; Yehui PENG ; Wei YANG ; Xinghua XIANG ; Rui LIU ; Xiongjun ZHAO ; Maolan AYIDANA ; Yue LI ; Wenyuan XU ; Min JIN ; Shaoliang PENG ; Baojin HUA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):135-143
ObjectiveThis study aims to develop and validate a novel multimodal predictive model, termed criss-cross network(CCNet)-directed graph neural network(DGNN)(CGN), for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer, by integrating longitudinal chest computed tomography(CT) imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron, and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently, a DGNN was constructed to integrate heterogeneous features, where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally, model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss, facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set, achieving an area under the receiver operating characteristic curve(AUC) of 0.830, accuracy of 0.843, sensitivity of 0.657, specificity of 0.712, Cohen's Kappa of 0.417, and F1 score of 0.544. Compared with unimodal baselines, the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components, substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine (TCM)-specific symptomatology led to an additional 5% improvement in AUC, underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis, it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model, by synergistically combining cross-attention encoding with directed graph-based feature integration, enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment, thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.
6.Rapid On-site Analysis of Four Prohibited Sex Hormones in Cosmetics Using Online Derivatization Reaction and A Miniature Mass Spectrometer
Li-Li TONG ; Yan-Hong HU ; Ren-You YANG ; Yue-Guang LYU ; Yu-Han SHANG ; Qing LYU ; Qing ZHANG ; Qiang WANG ; Xiang-Yu GUO
Chinese Journal of Analytical Chemistry 2025;53(10):1623-1630
Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.
7.Thoughts and Practices on the Development of Forensic Medicine Discipline in the Perspective of Building a Regional High-Level Medical University
Guang CHEN ; Rong-Shuai WANG ; Li SU ; Yue ZHANG ; Xue-Xia LIU ; Shi-Yong FANG ; Zhan-Zhan LIU ; Ya-Jun XU ; Xiang XU
Journal of Forensic Medicine 2025;41(1):35-39
Under the background of forensic medicine becoming a first-level discipline,the opportuni-ties and challenges of discipline development coexist.Starting from the actual situation and characteris-tics of local medical colleges and universities,this paper discusses the problems and solutions for the development of forensic medicine discipline from the perspective of building a regional high-level medical university.Combined with the experiences of carrying out forensic medicine education in our college,this paper supplies our thoughts and practices on improving the discipline system,enhancing the ability to serve society,perfecting the talent cultivation model and promoting forensic culture,to provide reference and inspiration for the development of forensic medicine in other universities,jointly promote the advancement of forensic medicine in China to a new stage,and contribute the wisdom and strength of forensic medical experts to the construction of a law-based China,a safe China and a healthy China.
8.Predictive value of dose surface histogram for acute radiation proctitis induced by image guided radiotherapy for cervical cancer
Qing-xiao LIU ; Yue-xiang ZHU ; Wei WEI ; Long TIAN ; Song-lin YANG ; Zheng WANG ; Yu-sen ZHAO ; Su-li WANG ; Mao-ye CHANG
Chinese Medical Equipment Journal 2025;46(3):48-53
Objective To explore the predictive value of dose surface histogram(DSH)in image guided radiotherapy(IGRT)for radiotherapy-induced acute radiation proctitis(ARP)in cervical cancer(CCA).Methods Totally 380 patients with CCA IGRT admitted to some hospital from May 2019 to May 2023 were selected prospectively and randomly divided into a control group(n=1 80)and an experimental group(n=200).The patients in the 2 groups were followed up and the incidence rates of ARP were counted,and rectal dose distribution was evaluated using dose volume histogram(DVH)in the control group and DSH in the experimental group.The predictive values of DVH and DSH for ARP were evaluated and compared using ROC curves.Statistical analysis was performed using SPSS 21.0 software.Results The two groups did not have statistically significant difference in the incidence rate of ARP(P>0.05),while there were significant differences in the evaluation indicators of the rectal dose distribution(P<0.05).V40,V50,S40 and S50 proved to have low predictive values for grade Ⅰ-Ⅳ ARP with AUC 0.700(P<0.05);V60 and S60 had moderate predictive values for grade Ⅰ-Ⅳ ARP with AUC greater than 0.700 and less than or equal to 0.900(P<0.05);V70,V78,S70 and S7s showed high predictive values for grade Ⅰ-Ⅳ ARP with AUC higher than 0.900(P<0.05).Delong's test results indicated that DVH and DSH had no significant differences in AUC when used to predict gradeⅠ-Ⅳ ARP(allP>0.05).Conclusion DSH is essentially the same as DVH when used for the prediction of grade Ⅰ-Ⅳ ARP due to CCA IGRT,and thus can be used for the supplementation and optimization of radiotherapy planning systems.[Chinese Medical Equipment Journal,2025,46(3):48-53]
9.Exploring urban versus rural disparities in atrial fibrillation: prevalence and management trends among elderly Chinese in a screening study.
Wei ZHANG ; Yi CHEN ; Lei-Xiao HU ; Jia-Hui XIA ; Xiao-Fei YE ; Wen-Yuan-Yue WANG ; Xin-Yu WANG ; Quan-Yong XIANG ; Qin TAN ; Xiao-Long WANG ; Xiao-Min YANG ; De-Chao ZHAO ; Xin CHEN ; Yan LI ; Ji-Guang WANG ; FOR THE IMPRESSION INVESTIGATORS AND COORDINATORS
Journal of Geriatric Cardiology 2025;22(2):246-254
BACKGROUND:
Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese.
METHODS:
Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics.
RESULTS:
The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05).
CONCLUSIONS
In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.
10.Hesperidin Suppressed Colorectal Cancer through Inhibition of Glycolysis.
Ke-Xiang SUN ; Wei-Shan TAN ; Hao-Yue WANG ; Jia-Min GAO ; Shu-Yun WANG ; Man-Li XIE ; Wan-Li DENG
Chinese journal of integrative medicine 2025;31(6):529-540
OBJECTIVE:
To explore the role of the natural compound hesperidin in glycolysis, the key ratelimiting enzyme, in colorectal cancer (CRC) cell lines.
METHODS:
In vitro, HCT116 and SW620 were treated with different doses of hesperidin (0-500 µmol/L), cell counting kit-8 and colone formation assays were utilized to detected inhibition effect of hesperidin on CRC cell lines. Transwell and wound healing assays were performed to detect the ability of hesperidin (0, 25, 50 and 75 µmol/L) to migrate CRC cells. To confirm the apoptotic-inducing effect of hesperidin, apoptosis and cycle assays were employed. Western blot, glucose uptake, and lactate production determination measurements were applied to determine inhibitory effects of hesperidin (0, 25 and 50 µmol/L) on glycolysis. In vivo, according to the random number table method, nude mice with successful tumor loading were randomly divided into vehicle, low-dose hesperidin (20 mg/kg) and high-dose hesperidin (60 mg/kg) groups, with 6 mice in each group. The body weights and tumor volumes of mice were recorded during 4-week treatment. The expression of key glycolysis rate-limiting enzymes was determined using Western blot, and glucose uptake and lactate production were assessed. Finally, protein interactions were probed with DirectDIA Quantitative Proteomics, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.
RESULTS:
Hesperidin could inhibit CRC cell line growth (P<0.05 or P<0.01). Moreover, hesperidin presented an inhibitory effect on the migrating abilities of CRC cells. Hesperidin also promoted apoptosis and cell cycle alterations (P<0.05). The immunoblotting results manifested that hesperidin decreased the levels of hexokinase 2, glucose transporter protein 1 (GLUT1), GLUT3, L-lactate dehydrogenase A, 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 2 (PFKFB2), PFKFB3, and pyruvate kinase isozymes M2 (P<0.01). It remarkably suppressed tumor xenograft growth in nude mice. GO and KEGG analyses showed that hesperidin treatment altered metabolic function.
CONCLUSION
Hesperidin inhibits glycolysis and is a potential therapeutic choice for CRC treatment.
Hesperidin/therapeutic use*
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Colorectal Neoplasms/metabolism*
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Glycolysis/drug effects*
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Animals
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Humans
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Apoptosis/drug effects*
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Mice, Nude
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Cell Movement/drug effects*
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Cell Line, Tumor
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Cell Proliferation/drug effects*
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Glucose/metabolism*
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Cell Cycle/drug effects*
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Mice, Inbred BALB C
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Mice
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HCT116 Cells
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Lactic Acid


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