OBJECTIVES: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the EGFR and KRAS genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility. This study aims to develop machine learning models based on radiomic features to predict EGFR and KRAS gene mutation status in NSCLC patients, thereby providing a reference for precision oncology. METHODS: Imaging and mutation data from eligible NSCLC patients were obtained from the publicly available Lung-PET-CT-Dx dataset in The Cancer Imaging Archive (TCIA). A three-dimensional-convolutional neural network (3D-CNN) was used to extract imaging features from the regions of interest (ROI). The LightGBM algorithm was employed to build classification models for predicting EGFR and KRAS gene mutation status. Model performance was evaluated using 5-fold cross-validation, with receiver operator characteristic (ROC) curves, area under the curve (AUC), accuracy, sensitivity, and specificity used for validation. RESULTS: The models effectively predicted EGFR and KRAS mutations in NSCLC patients, achieving an AUC of 0.95 for EGFR mutations and 0.90 for KRAS. The models also demonstrated high accuracy (EGFR 89.66%; KRAS 87.10%), sensitivity (EGFR 93.33%; KRAS 87.50%), and specificity (EGFR 85.71%; KRAS 86.67%). CONCLUSIONS A radiogenomics-machine learning predictive model can serve as a non-invasive tool for anticipating EGFR and KRAS gene mutation status in NSCLC patients.
Humans ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging* ; Lung Neoplasms/diagnostic imaging* ; Mutation ; Proto-Oncogene Proteins p21(ras)/genetics* ; ErbB Receptors/genetics* ; Machine Learning ; Positron Emission Tomography Computed Tomography ; Female ; Male ; Neural Networks, Computer ; Middle Aged ; Aged

Digestive tract tumors are currently one of the most common types of cancer,including esophageal cancer,gastric cancer,hepatocellular carcinoma,pancreatic cancer,and colorectal cancer.Their prognoses are poor and the treatments require further improvement.Caveolin-1(CAV1)has a dual regulatory effect on digestive tract tumors as a tumor suppressor and cancer promoter.CAV 1 plays a major role in cell proliferation,invasion,metastasis,angiogenesis,and drug tolerance of digestive tract tumors.The regulation of CAV1 protein and its related signaling pathways may be a strategy for the treatment of digestive tract tumors.This review analyzes the relationship between CAV 1 and digestive tract tumors in terms of structure,function,expression regulation,regulation of epithelial-mesenchymal transition,and drug resistance in digestive tract tumors to provide new ideas for the diagnosis and treatment of digestive tract tumors.

An innovative on-site real-time avian influenza virus(AIV)detection method was estab-lished by integratingrecombinase-aided amplification(RAA)with the clustered regularly inter-spaced short palindromic repeats(CRISPR)/CRISPR-associated protein(Cas)system.After analy-zing 120 sequences of the M gene of avian influenza viruses of different subtypes publicly available on NCBI,the RAA primers and crRNA were designed based on the identified highly conserved segment and used for RAA nucleic acid amplification.After the amplified products were transferred to a CRISPR/Cas13a detection system,the fluorescence values were monitored throughout the re-action process to indicate the results.The sensitivity and specificity of the RAA-CRISPR/Cas13a method were validated using gradient dilutions(106-100 copies/μL)of positive plasmids and sev-en other avian viruses.Fifty clinical samples were tested using this method and compared with the national standard fluorescence RT-PCR method.The results indicated that the detection limit for RAA-CRISPR/Cas13a method was 102 copies/μL,a two-fold improvement over the standard RAA.Specificity assay showed the established method only detected AIV with no cross-reactivity with other seven avian viruses.Compared to the national standard fluorescence RT-PCR method,this method exhibited 100％specificity,95.24％accuracy,and 98.00％consistency in detection of clinical samples.In conclusion,a universal and rapid RAA-CRISPR/Cas13a for detection of AIV was established with the capacity of achieving detection within 60 minutes at 37 ℃,which provides a rapid,sensitive,and specific on-site detection method for AIV.

Objective:Non-alcoholic fatty liver disease(NAFLD)is a common metabolic disorder in overweight and obese children,and its etiology and pathogenesis remain unclear,lacking effective preventive and therapeutic measures.This study aims to explore the association between whole blood copper,zinc,calcium,magnesium and iron levels and NAFLD in overweight and obese children aged 6 to 17 years,providing a scientific basis for the prevention and intervention of early NAFLD in overweight and obese children. Methods:A cross-sectional study design was used to collect relevant data from overweight and obese children who visited the Hunan Children's Hospital from January 2019 to December 2021 through questionnaire surveys.Fasting blood samples were collected from the subjects,and various indicators such as blood glucose,blood lipid,and mineral elements were detected.All children were divided into an overweight group(n=400)and a NAFLD group(n=202).The NAFLD group was divided into 2 subgroups according to the ALT level:A non-alcoholic fatty liver(NAFL)group and a non-alcoholic steatohepatitis(NASH)group.Logistic regression analysis was used to analyze the association between minerals(copper,zinc,calcium,magnesium,and iron)and NAFLD,NAFL and NASH. Results:A total of 602 subjects were included,of whom 73.6%were male,with a median age of 10(9,11)years,and a body mass index(BMI)of 24.9(22.7,27.4)kg/m2.The intergroup comparison results showed that compared with the overweight group,the NAFLD group had higher levels of age,BMI,diastolic blood pressure(DBP),systolic blood pressure(SBP),triglyceride(TG),low density lipoprotein(LDL),alanine transaminase(ALT)and aspartate aminotransferase(AST),and lower level of high density lipoprotein(HDL).The NAFL group had higher levels of age,BMI,DBP,SBP,ALT,and AST,and lower levels of HDL compared with the overweight group.The levels of age,BMI,DBP,SBP,TG,LDL,ALT,and AST of NASH were higher than those in the overweight group,while the level of HDL was lower than that in overweight group(all P<0.017).After adjusting for a variety of confounders,the OR of NAFLD for the highest quantile of iron was 1.79(95%CI 1.07 to 3.00)compared to the lowest quantile,and no significant association was observed between copper,zinc,calcium,and magnesium,and NAFLD.The subgroup analysis of NAFLD showed that the OR for the highest quantile of iron in children with NAFL was 2.21(95%CI 1.26 to 3.88),while no significant association was observed between iron level and NASH.In addition,no significant associations were observed between copper,zinc,calcium,and magnesium levels and NAFL or NASH. Conclusion:High iron level increases the risk of NAFLD(more likely NAFL)in overweight and obese children,while copper,zinc,calcium,magnesium,and other elements are not associated with the risk of NAFLD in overweight and obese children.

It is of great significance to analyze the configuration of programs funded by the National Natural Science Foundation of China using funding data in the field of preventive medicine from 2007 to 2021. The analysis mainly focused on the funding status of the program, funding amount, funded institutions and personnel. A total of 5 349 programs in the discipline of preventive medicine were funded over the last 15 years. The funding amount in this discipline accounted for a relatively low proportion in the total funding amount of the Department of Medical Sciences and this proportion also showed a decreasing trend. Non-infectious disease epidemiology, human nutrition, and health toxicology were the top three subdisciplines of all funded programs in preventive medicine. The proportion of programs led by young scholars was gradually rising over the years, and young scholars were playing an increasingly influential role in scientific research. The funding status among each subdiscipline and institution also varied. The results of this study reflected the thriving of preventive medicine. Meanwhile, some problems and dilemmas were also revealed in its current development. Hopefully, this study could provide valuable information for institutions and preventive medicine researchers to apply for National Natural Science Foundation, and promote the long-term development of preventive medicine in the future.

It is of great significance to analyze the configuration of programs funded by the National Natural Science Foundation of China using funding data in the field of preventive medicine from 2007 to 2021. The analysis mainly focused on the funding status of the program, funding amount, funded institutions and personnel. A total of 5 349 programs in the discipline of preventive medicine were funded over the last 15 years. The funding amount in this discipline accounted for a relatively low proportion in the total funding amount of the Department of Medical Sciences and this proportion also showed a decreasing trend. Non-infectious disease epidemiology, human nutrition, and health toxicology were the top three subdisciplines of all funded programs in preventive medicine. The proportion of programs led by young scholars was gradually rising over the years, and young scholars were playing an increasingly influential role in scientific research. The funding status among each subdiscipline and institution also varied. The results of this study reflected the thriving of preventive medicine. Meanwhile, some problems and dilemmas were also revealed in its current development. Hopefully, this study could provide valuable information for institutions and preventive medicine researchers to apply for National Natural Science Foundation, and promote the long-term development of preventive medicine in the future.