Due to the advancement of 16S rRNA sequencing technology, the lower respiratory tract microbiota, which was considered non-existent, has been revealed. The correlation between these microorganisms and diseases such as tumor has been a hot topic in recent years. As the bacteria in the surrounding can infiltrate the tumors, researchers have also begun to pay attention to the biological behavior of tumor bacteria and their interaction with tumors. In this review, we present the characteristic of the lower respiratory tract bacteria and summarize recent research findings on the relationship between these microbiota and lung cancer. On top of that, we also summarize the basic feature of bacteria in tumors and focus on the characteristic of the bacteria in lung cancer. The relationship between bacteria in lung cancer and tumor development is also been discussed. Finally, we review the potential clinical applications of bacterial communities in the lower respiratory tract and lung cancer, and summarize key points of sample collection, sequencing, and contamination control, hoping to provide new ideas for the screening and treatment of tumors.
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Humans ; Lung Neoplasms ; RNA, Ribosomal, 16S/genetics* ; Bacteria/genetics* ; Microbiota ; Respiratory System ; Lung/microbiology*

Objective:To investigate the relationship between intracerebral high-density foci and progressive stroke (PS) morbidity by using dual-energy CT, which can quantify the intracerebral high-density foci of patients with acute ischemic stroke after endovascular treatment.Methods:Ninety-two patients with acute ischemic stroke who received interventional treatment in Gaozhou People′s Hospital from May 2019 to August 2020, and underwent dual-energy CT scan immediately after intervention, were analyzed. The patients were divided into PS group ( n=35) and non-PS group ( n=57) according to the National Institutes of Health Stroke Scale (NIHSS) score, and the patients whose NIHSS score increased≥4 points within 72 hours of stroke were included in the PS group, while the patients whose NIHSS score increased<4 points were included in the non-PS group. The clinical data, volume of high-density foci and CT values were compared between the 2 groups. Logistic regression analysis was used to adjust for confounding factors and screen for risk factors. The correlations of the admission NIHSS score, presence and volume of high-density lesions, maximum CT (CTmax) value and average CT (CTave) value with the onset of PS were analyzed, and the receiver operating characteristic curve was used to screen predictive indicators of PS. Results:In the PS group, the NIHSS score (18.80±8.50 vs 14.40±9.58, t=2.229, P=0.028), proportion of high-density foci [29/35(82.9%) vs 32/57 (56.1%), χ 2=6.928, P=0.008], high-density focal volume [13.23 (39.33) cm 3vs 0.76 (9.82) cm 3, U=1 440.000, P<0.001], CTmax value [80.00 (92.00) HU vs 65.00 (87.50) HU, U=1 337.000, P=0.005] and CTave value [53.48 (23.79) HU vs 45.94 (55.11) HU, U=1 345.000, P=0.004] were higher than those in the non-PS group. The NIHSS score ( OR=1.054, 95% CI 1.004-1.106, P=0.033; rs=0.255, 95% CI 0.051-0.447, P=0.014), presence of high-density foci ( OR=3.776, 95% CI 1.358-10.503, P=0.011; rs=0.274, 95% CI 0.093-0.460, P=0.008), high-density focal volume ( OR=1.026, 95% CI 1.003-1.049, P=0.027; rs=0.381, 95% CI 0.183-0.560, P<0.001), CTmax value ( OR=1.006, 95% CI 1.001-1.011, P=0.014; rs=0.292, 95% CI 0.088-0.475, P=0.005) and CTave value ( OR=1.021, 95% CI 1.007-1.035, P=0.004; rs=0.299, 95% CI 0.092-0.484, P=0.004) were all risk factors affecting PS morbidity and were positively correlated with PS morbidity. The area under the receiver operating characteristic curve of NIHSS score, high-density lesion volume, CTmax value, and CTave value to predict the onset of PS was 0.652, 0.722, 0.670 and 0.674, respectively. The volume of high-density lesions had moderate predictive value for the onset of PS. Conclusions:For AIS patients, CT examination should be performed immediately after interventional operation. The volume, CTmax value and CTave value of high-density lesions newly appeared in the ischemic area are positively correlated with the onset of PS. Quantifying the volume of high-density lesions can help to predict the onset of PS.

Unicorn lotus is a plant tuber in the araceae family, which has therapeutic effects such as dispelling cold and dampness, dispelling wind and phlegm, and treating stroke. However, acute poisoning of fresh Unicorn lotus has been rarely reported domestically and internationally. This article reports a case of poisoning caused by chewing unicorn lotus. The patient experienced numbness in the lips, swelling and rupture of the oral cavity, continuous salivation, difficulty swallowing and obvious burning sensation in the throat, accompanied by shortness of breath and mild hypoxemia. After receiving comprehensive treatments such as oxygen therapy, electrocardiographic monitoring, cleaning of necrotic oral mucosa, anti infection, inhibition of oral salivary secretion, and nutritional support, the patient finally recovered and was discharged.

Objective To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.Methods Data from 507 patients with postoperative pathological confirmed lung adenocarcinoma and clearly defined differentiation level of lung adenocarcinoma were retrospective analyzed.The enrolled cases were divided into poorly differentiation group and moderate-to-high differentiation group based on the grading criteria.CT image features were extracted,and seven machine learning algorithms were used to construct prediction models to obtain the AUC,accuracy,specificity,and sensitivity.Results The poorly differentiation group consisted of 175 cases,while the moderate-to-high differentiation group had 332 cases.The XGBoost model demonstrated the best performance,with the AUC,accuracy,specificity,and sensitivity of this model on the validation set being 0.878,0.829,0.667,and 0.727,respectively.Conclusion CT radiomics model can effectively predict the differentiation level of poorly differentiation and moderate-to-high differentiation in lung adenocarcinoma.

Objective To discuss the effect of multidisciplinary family empowerment mode in home care for patients after receiving percutaneous endoscopic gastrostomy(PEG).Methods A total of 86 patients,who received initial PEG at the Jilin Provincial Cancer Hospital of China from January 2021 to July 2023,were selected for this study.The patients were randomly divided into observation group.The patients of the control group received routine nursing guidance for gastrostomy,while the patients of the observation group received multidisciplinary family empowerment nursing mode.The self-care ability[using self-care ability scale of the elderly(SASE)score],health behavior ability[using self-rating scale of health behavior ability(SRAHP)score],incidence of complications,and healing time of complications were compared between the two groups.Results In the observation group the SASE[(129.48±5.48)points vs.(73.05±12.04)points]and the SRAHP[(80.14±1.00)points vs.(70.25±7.92)points]were significantly higher than those in the control group(all P＜0.05),the incidence of complications was lower than that in the control group,and the healing time of complications was shorter than that in the control group.Conclusion The implementation of multidisciplinary family empowerment nursing mode can improve the self-care ability and health behavior ability of patients after receiving PEG,reduce postoperative complications,as well as shorten the healing time of complications,therefore,this nursing mode is suitable for home patients after receiving PEG.

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

The continuous advancement of molecular detection technology has greatly propelled the develop-ment of precision medicine for lung cancer.However,tumor heterogeneity is closely associated with tumor metastasis,recurrence,and drug resistance.Additionally,different lung cancer patients with the same genetic mutation may exhibit varying treatment responses to different therapeutic strategies.Therefore,the development of modern precision medicine urgently requires the precise formulation of personalized treatment strategies through personalized tumor models.Lung cancer organoid(LCO)can highly simulate the biological characteristics of tumor in vivo,facilitating the application of innovative drugs such as antibody-drug conjugate in precision medicine for lung cancer.With the development of co-culture model of LCO with tumor microenvironment and tissue engineering technology such as microfluidic chip,LCO can better preserve the biological characteristics and functions of tumor tissue,further improving high-throughput and automated drug sensitivity experiment.In this review,we combine the latest research progress to summarize the applica-tion progress and challenges of LCO in precision medicine for lung cancer.

Unicorn lotus is a plant tuber in the araceae family, which has therapeutic effects such as dispelling cold and dampness, dispelling wind and phlegm, and treating stroke. However, acute poisoning of fresh Unicorn lotus has been rarely reported domestically and internationally. This article reports a case of poisoning caused by chewing unicorn lotus. The patient experienced numbness in the lips, swelling and rupture of the oral cavity, continuous salivation, difficulty swallowing and obvious burning sensation in the throat, accompanied by shortness of breath and mild hypoxemia. After receiving comprehensive treatments such as oxygen therapy, electrocardiographic monitoring, cleaning of necrotic oral mucosa, anti infection, inhibition of oral salivary secretion, and nutritional support, the patient finally recovered and was discharged.

With the highlighted advantages of 3D printing technology in the field of dental prosthodontics, there is increasing in the numbers of registration applications for additive manufacturing customized dentures. However, there is still a lack of unified analysis in the core elements of process control, the key points of registration and the safety production quality control. Based on the current research status of the industry, the study is intended to clarify confusion and difficulties, deeply analyse the mechanism of the product defects, sort the core elements of process control, then try to establish a systematic evaluation system from product performance research, key process verification, production quality control and the description of registration files, so that it can provide help for practitioners to clarify research direction, establishing quality management system, improving the efficiency of registration and ensuring product quality.

Phosphatidylinositol-3-kinase (PI3K) inhibitors can increase the sensitivity of tumor cells to Poly ADP-ribose polymerase-1 (PARP-1) inhibitors. Therefore, the simultaneous inhibition of the PARP-1 and PI3K activities are expected to overcome the drug resistance of PARP-1 inhibitors.In our previous work, two compounds XW-1 and WZ-1 with excellent activities against PARP-1 and PI3K were obtained with the limitation to further study due to their poor water solubility.Therefore, XW-1 and WZ-1 were chosen as lead compounds to optimize their solubility by introducing a salt-forming site via a urea group, and 11 novel compounds were designed and synthesized. The structure of all target compounds was confirmed by 1H NMR, 13C NMR, and HRMS.The enzyme activities of the compounds against PARP-1 and PI3K were measured, and the results showed that most of the compounds demonstrated good inhibitory activities against PARP-1 and PI3K.Based on the above result, the inhibitory activities of compounds 8b, 8e, and 8f against MDA-MB-231, MDA-MB-468, HCC1937, HCT116, and olaparib-resistant HCT116R were determined by MTT, respectively.Additionally, the structure-activity relationship was discussed. The results showed that these compounds displayed excellent antiproliferation activity.Among them, compound 8f demonstrated antiproliferation remarkably against all five tumor cells, which was more potent than that of olaparib, and was comparable to that of BKM120.Furthermore, the solubility of hydrochloride salts of compound 8b and 8f was significantly improved compared to the lead compounds.The results of this study will provide a theoretical basis for the further development of PARP-1 and PI3K dual-target inhibitors with good pharmaceutical properties and strong inhibitory activities.