The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

OBJECTIVES: To analyze the trends of disease burden of lip and oral cancers in East Asia from 1990 to 2021 and its future projections. METHODS: We used the Global Burden of Disease 2021 database to conduct a comprehensive analysis of disease burden data from China (including Taiwan Province of China), Japan, Republic of Korea, Democratic People's Republic of Korea and Mongolia. The data were stratified by age, gender and major risk factors, and a Bayesian age-period-cohort model was employed to predict the future trends. RESULTS: From 1990 to 2021, the burden of lip and oral cancers in East Asian countries exhibited a steady increase. Taiwan Province of China experienced the most significant increases in incidence, prevalence, mortality, and disability-adjusted life years (DALYs), while Mongolia saw a decline in both mortality and DALYs. In 2021, Taiwan Province of China reported the highest rates of lip and oral cancer incidence (27.50 per 100 000), prevalence (137.92 per 100 000), mortality (9.59 per 100 000), and DALYs (292.07 person-years per 100 000), particularly among male and elderly populations. Tobacco use and alcohol consumption significantly exacerbated the disease burden in Taiwan Province of China and Japan. Future projections indicate that the incidence and prevalence of lip and oral cancer in China (excluding Taiwan Province of China) will continue to rise, while their mortality rates are expected to decline in most regions, except for Taiwan Province of China and Democratic People's Republic of Korea. CONCLUSIONS By the year 2035, the disease burden of lip and oral cancers in East Asia is expected to continue to increase, especially in Taiwan Province of China. To address this challenge, it is essential to implement effective measures to control major risk factors, promote early screening, and ensure equitable distribution of healthcare resources.
Humans ; Mouth Neoplasms/epidemiology* ; Incidence ; Lip Neoplasms/epidemiology* ; Asia, Eastern/epidemiology* ; Male ; Disability-Adjusted Life Years ; Prevalence ; Female ; Forecasting ; Risk Factors ; Cost of Illness ; Middle Aged ; Global Burden of Disease ; Aged ; Bayes Theorem

Cancer is a serious global health problem and a major cause of human death. Conventional cancer treatments often run the risk of impairing vital organ functions. Anticancer peptides (ACPs) are considered to be one of the most promising therapeutic agents against common human cancers due to their small sizes, high specificity, and low toxicity. Since ACP recognition is highly limited to the laboratory, expensive, and time-consuming, we proposed pLM4ACP, a model for predicting ACPs based on machine learning and protein language models. In this model, the protein language model ProtT5 was used to extract the features of ACPs, and the extracted features were input into the support vector machine (SVM) classification algorithm for optimization and performance evaluation. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 0.763, F1-score of 0.767, Matthews correlation coefficient of 0.527, and area under the curve of 0.827 on the independent test set. This study constructs an efficient anticancer peptide prediction model based on protein language models, further advancing the application of artificial intelligence in the biomedical field and promoting the development of precision medicine and computational biology.
Machine Learning ; Antineoplastic Agents/chemistry* ; Humans ; Peptides/chemistry* ; Support Vector Machine ; Algorithms ; Computational Biology/methods* ; Neoplasms/drug therapy*

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.

Objective:To understand the current research status, hot issues, and development trends of Taohong Siwu Decoction.Methods:Research literature about Taohong Siwu Decoction was retrieved from Wanfang Data, CBM, CNKI, and Chongqing VIP from January 1, 2014, to August 13, 2024. Excel 2024 software was used to analyze the annual number of publications, the source journals, literature types and the distribution of diseases and syndromes. CiteSpace 6.3.R3 software was used for visualization analysis on the authors, research institutions and key words.Results:A total of 2 519 articles were included, and the annual publication volume showed a fluctuating growth trend. There were 396 source journals, of which Medicine and Health published the most (80 articles); 208 authors were involved, and the core authors included Peng Daiyin of Anhui University of Chinese Medicine, Zhu Fuping of the First Affiliated Hospital of Hunan University of Chinese Medicine, Sun Shaoqiu of the Second Affiliated Hospital of Hunan University of Chinese Medicine and so on. The main research institutions in this field included Hunan University of Chinese Medicine and its affiliated hospitals. The high-frequency keywords included fracture, irregular menstruation, clinical efficacy, chloasma, Wuling Powder, experience of famous doctors, elderly, etc. Keywords could be clustered into 11 modules.Conclusions:The current research hotspots of Taohong Siwu Decoction mainly focus on the exploration of multi-system disease treatment, individualized syndrome differentiation and treatment, pharmacology and metabolic mechanism of Chinese materia medica, etc. Among them, the in-depth study of drug composition and metabolism, network pharmacology and mechanism is the research frontier in this field.

Objective To analyze the characteristics of acupoint selection in treatment for func-tional constipation.Methods Clinical literature on acupuncture and electroacupuncture therapy for functional constipation from January 1,2013,to December 31,2023,was retrieved from CNKI.The acupuncture prescriptions were collected and organized,and data mining techniques were employed to analyze the patterns of acupoint selection.Results A total of 182 articles were included,yielding 123 acupuncture prescriptions involving 92 acupoints with usage frequency of 967 times.The top 10 acu-points in frequency were Tianshu(158 times),Shangjuxu(138 times),Dachangshu(61 times),Zu-sanli(60 times),Zhigou(57 times),Fujie(57 times),Guanyuan(35 times),Zhongwan(34 times),Qihai(34 times),and Quchi(28 times).The meridians of the selected acupoints for acu-puncture treatment of functional constipation were mainly involved in stomach,bladder,Ren,and spleen meridians.Association rule analysis revealed that the combination of Tianshu-Shangjuxu had the highest occurrence probability(75.82％),followed by Tianshu-Dachangshu(33.52％)and Tianshu-Zusanli(32.97％).Cluster analysis of acupoints showed that the main acupoints selected for acu-puncture treatment of functional constipation could be divided into 10 clusters,including primary acu-points,acupoints for various syndrome types,acupoints for regulating spirit,and acupoints for regula-ting sympathetic nerves.Conclusion Acupuncture treatment for functional constipation should follow the principles of holistic treatment and syndrome differentiation,combined with the methods of selecting acupoints based on their upper-lower,proximal-distal,and anterior-posterior relationships.The acu-point selection patterns identified in this study can provide important references for clinical treatment of functional constipation,offer guidance for practitioners in acupoint selection,facilitate precise treatment,and promote early patient recovery.

More than 80% of the world’s populations are at risk of vector-borne diseases, with mosquito-borne diseases as a significant global public health problem. Mosquito populations control is critical to interrupting the transmission of mosquito-borne diseases. This review summarizes the physical attributes, smell, vision, touch, and hearing of mosquitoes to unravel the preferences of female mosquitoes, and describes the mechanisms underlying the best male mating by female mosquitoes, so as to provide new insights into management of mosquito-borne diseases.

Transgenic 5 × FAD mice are APP/PS1 transgenic mice carrying five familial Alzheimer's disease(AD)gene mutations.Beta-amyloid precursor protein(amyloid precursor protein,APP)expression is related to the K670N/M671L(Swedish),1716V(Florida),and V7171(London)mutations,and presenilin 1(PSI)is affected by the M146L and L286V mutations.5 × FAD mice express high levels of β-amyloid in the brain at 1.5 months old,and neuritic plaques began to appear at 2 months old.The pathological phenotypes of 5 × FAD mice include amyloid plaque aggregation,neuronal loss,gliosis,and memory dysfunction,while their biological characteristics include changes in the formation of brain β-amyloid plaques,hyperphosphorylation of Tau protein,synaptic dysfunction,neuroinflammatory response,mitochondrial dysfunction,blood-brain barrier injury,neuronal injury,endoplasmic reticulum stress,and eye lesions.As a classic animal model of AD,5 × FAD transgenic mice can simulate the neuropathological process and behavioral manifestations of late-stage AD in humans,and these mice are thus widely used in research into the pathogenesis of AD and the development of new drugs.In this review,we summarize the model construction,biological background,and biological characteristics of 5 x FAD transgenic mice,and the development and application of drugs for the prevention and treatment of AD,to provide references for the application of 5 x FAD transgenic transgenic mice in AD research.

Drugs and physical stimulation,including light,electricity,and magnetic fields,can be used to influence how neurons operate,among which chemogenetic and optogenetic technologies are most widely used.In recent years,magnetogenetic technology has also been developed that can acti-vate neurons in magnetic fields through magnetic sensitive actuators,leading to non-invasive and instanta-neous activation of specific brain regions.This article reviews the evolution of and problems with chemoge-netic and optogenetic techniques commonly used in brain science research.It also outlines the latest progress in magnetogenetic technologies,which are not full-fledged yet,as well as the role of transcra-nial electrical stimulation,transcranial magnetic stimulation,deep brain stimulation and transcranial ultra-sound stimulation technology in the functional regulation of brain diseases.Constant adjustment and improvement can make it possible for these technologies to be used more widely for the study of brain sciences and the treatment of brain diseases.