Objective To investigate the value of amide proton transfer(APT)imaging in evaluating lymph-vascular space inva-sion(LVSI)of cervical cancer.Methods A retrospective analysis was conducted on the data of cervical cancer patients with patho-logically confirmed LVSI status.Based on the presence of LVSI,the patients were divided into LVSI positive group and LVSI nega-tive group.All patients underwent diffusion weighted imaging(DWI)and APT imaging before treatment,and the apparent diffusion coefficient(ADC)and APT values of the lesions were measured.An independent sample t-test was used to compare the differences in ADC and APT values between the two groups.The sensitivity,specificity and area under the curve(AUC)of ADC,APT and ADC+APT in predicting LVSI were observed by receiver operating characteristic(ROC)curve,and the diagnostic performance of the three was compared by DeLong test.Results A total of 78 patients were included,of which 54 were LVSI negative and 24 were LVSI positive.The ADC values in the LVSI positive group were significantly lower than those in the LVSI negative group(P＜0.001),while the APT values in the LVSI positive group were significantly higher than those in the LVSI negative group(P＜0.001).The sensitivities of ADC,APT and ADC+APT in predicting LVSI were 79.17％,83.33％ and 87.50％,respectively,the specificities were 75.93％,55.56％ and 77.78％,respectively,and the AUC were 0.828,0.759 and 0.868,respectively,indicating that the diag-nostic performance of ADC+APT was better than that of ADC and APT alone(P＜0.001).Conclusion APT imaging can preop-eratively predict the presence of LVSI status in cervical cancer.When combined with ADC,its diagnostic accuracy is higher than that of APT alone,providing a new approach for evaluating LVSI in cervical cancer.

Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

BACKGROUND: Growing evidence suggests that long non-coding RNAs (lncRNAs) exert pivotal roles in fostering chemoresistance across diverse tumors. Nevertheless, the precise involvement of lncRNAs in modulating chemoresistance within the context of gallbladder cancer (GBC) remains obscure. This study aimed to uncover how lncRNAs regulate chemoresistance in gallbladder cancer, offering potential targets to overcome drug resistance. METHODS: To elucidate the relationship between gemcitabine sensitivity and small nucleolar RNA host gene 1 ( SNHG1 ) expression, we utilized publicly available GBC databases, GBC tissues from Renji Hospital collected between January 2017 and December 2019, as well as GBC cell lines. The assessment of SNHG1, miR-23b-3p, and phosphatase and tensin homolog (PTEN) expression was performed using in situ  hybridization, quantitative real-time polymerase chain reaction, and western blotting. The cell counting kit-8 (CCK-8) assay was used to quantify the cell viability. Furthermore, a GBC xenograft model was employed to evaluate the impact of SNHG1 on the therapeutic efficacy of gemcitabine. Receiver operating characteristic (ROC) curve analyses were executed to assess the specificity and sensitivity of SNHG1. RESULTS: Our analyses revealed an inverse correlation between the lncRNA SNHG1 and gemcitabine resistance across genomics of drug sensitivity in cancer (GDSC) and Gene Expression Omnibus (GEO) datasets, GBC cell lines, and patients. Gain-of-function investigations underscored that SNHG1 heightened the gemcitabine sensitivity of GBC cells in both in vitro and in vivo  settings. Mechanistic explorations illuminated that SNHG1 could activate PTEN -a commonly suppressed tumor suppressor gene in cancers-thereby curbing the development of gemcitabine resistance in GBC cells. Notably, microRNA (miRNA) target prediction algorithms unveiled the presence of miR-23b-3p binding sites within SNHG1 and the 3'-untranslated region (UTR) of PTEN . Moreover, SNHG1 acted as a sponge for miR-23b-3p, competitively binding to the 3'-UTR of PTEN , thereby amplifying PTEN expression and heightening the susceptibility of GBC cells to gemcitabine. CONCLUSION The SNHG1/miR-23b-3p/PTEN axis emerges as a pivotal regulator of gemcitabine sensitivity in GBC cells, holding potential as a promising therapeutic target for managing GBC patients.
Humans ; Deoxycytidine/pharmacology* ; PTEN Phosphohydrolase/genetics* ; Gemcitabine ; RNA, Long Noncoding/metabolism* ; MicroRNAs/genetics* ; Gallbladder Neoplasms/genetics* ; Cell Line, Tumor ; Animals ; Mice ; Drug Resistance, Neoplasm/genetics* ; Mice, Nude ; Antimetabolites, Antineoplastic ; Gene Expression Regulation, Neoplastic

Objective To address the bottlenecks in the application of wastewater biological treatment technology under space conditions,an experimental system for the biological treatment of space wastewater was constructed and its biochemical performance examined.The findings of this study will provide technical support for the biological treatment of space wastewater.Methods Based on the Membrane Aerated Biofilm Reactor(MABR)process,a biological treatment experimental system for space wastewater was constructed and conducted the continuous flow test for 77 days to investigate the performance of PVDF and PP membrane modules in the treatment of simulated air condensate.Results The results demonstrated that both membrane modules exhibited an average TOC removal rate of 90%,indicative of their effective organic matter removal capacity.In the air supply mode,the ammonia oxidation capacity was observed to be comparatively lower,whereas in the oxygen source without bubbling mode,the nitrogen oxidation rate and total nitrogen removal rate could be attained above 90%,indicating a notable degree of simultaneous nitrification and denitrification.The results demonstrated that the mode of gas supply had a significant impact on the nitrogen conversion performance.The abundance of nitrogen-converting bacteria in PP membrane module is higher than that in PVDF membrane module,indicating a better nitrogen-converting performance in PP membrane module.Conclusion The constructed wastewater biological treatment system is optimally suited for the treatment of air condensate,thereby offering a novel technical approach for space wastewater treatment.

Objective To investigate the value of amide proton transfer(APT)imaging in evaluating lymph-vascular space inva-sion(LVSI)of cervical cancer.Methods A retrospective analysis was conducted on the data of cervical cancer patients with patho-logically confirmed LVSI status.Based on the presence of LVSI,the patients were divided into LVSI positive group and LVSI nega-tive group.All patients underwent diffusion weighted imaging(DWI)and APT imaging before treatment,and the apparent diffusion coefficient(ADC)and APT values of the lesions were measured.An independent sample t-test was used to compare the differences in ADC and APT values between the two groups.The sensitivity,specificity and area under the curve(AUC)of ADC,APT and ADC+APT in predicting LVSI were observed by receiver operating characteristic(ROC)curve,and the diagnostic performance of the three was compared by DeLong test.Results A total of 78 patients were included,of which 54 were LVSI negative and 24 were LVSI positive.The ADC values in the LVSI positive group were significantly lower than those in the LVSI negative group(P＜0.001),while the APT values in the LVSI positive group were significantly higher than those in the LVSI negative group(P＜0.001).The sensitivities of ADC,APT and ADC+APT in predicting LVSI were 79.17％,83.33％ and 87.50％,respectively,the specificities were 75.93％,55.56％ and 77.78％,respectively,and the AUC were 0.828,0.759 and 0.868,respectively,indicating that the diag-nostic performance of ADC+APT was better than that of ADC and APT alone(P＜0.001).Conclusion APT imaging can preop-eratively predict the presence of LVSI status in cervical cancer.When combined with ADC,its diagnostic accuracy is higher than that of APT alone,providing a new approach for evaluating LVSI in cervical cancer.

Objective·To develop a graph neural network(GNN)-based auxiliary diagnostic model for gallbladder cancer on CT images,and validate its accuracy and feasibility.Methods·From January 2010 to November 2023,1 774 contrast-enhanced CT arterial-phase images were acquired from 887 patients with normal gallbladder,benign gallbladder disease,or gallbladder cancer at Xinhua Hospital and Renji Hospital,Shanghai Jiao Tong University School of Medicine.These images were randomly divided into training and testing sets at a 4∶1 ratio to develop a hybrid GNN-convolutional neural network(CNN)model,named VJK-GIN.The model constructed a pixel-level graph in which each pixel served as a node,and spatial adjacency defined the edges,enabling extraction of local texture features.In the model architecture design,VJK-GIN integrated a three-layer graph isomorphism network,augmented with virtual nodes and jump-knowledge connections;global pooling compressed node features into a graph-level representation,which was classified by a multi-layer perceptron head.Five-fold cross-validation was used to compare VJK-GIN with GNN baselines(GCN,GraphSAGE,GAT,and GIN)and CNN baselines(ViT,EfficientNetV2,and ConvNeXt)in terms of accuracy,precision,recall,F1-score,and area under the receiver operating characteristic curve(AUC).Results·The results of five-fold cross-validation showed that VJK-GIN achieved an F1-score of 0.799(95%CI 0.775?0.823),recall of 0.795(95%CI 0.773?0.817),precision of 0.799(95%CI 0.775?0.823),AUC of 0.812(95%CI 0.792?0.832),and accuracy of 0.773(95%CI 0.748?0.798),surpassing all competing models across every metric.Conclusion·The VJK-GIN model exhibits high stability and accuracy in identifying contrast-enhanced CT images of normal,benign,and malignant gallbladder conditions.

Objective:To investigate the association between peripheral immune function status and lung cancer metastasis,and to identify peripheral blood immune biomarkers for'Deficiency of Vital Qi'assessment in lung cancer metastasis.Methods:A retrospective analysis was conducted on peripheral blood immune markers collected before treatment from lung cancer patients admitted into Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated to Shanghai University of Traditional Chinese Medicine,between March 2023 and April 2025.Patients were categorized into the non-metastatic and the metastatic groups based on the presence of distant metastasis,and the differences in the expressions of immune cells and cytokines between groups were compared.Peripheral blood immune markers with P<0.05 in univariate analysis were incorporated into a multivariate binary logistic regression model to identify independent predictors of lung cancer metastasis.Results:A total of 193 lung cancer patients were included(101 in the non-metastatic group and 92 in the metastatic group).There were no statistically significant differences between the two groups in terms of gender,age,smoking history,drinking history,or pathological type(all P>0.05).Univariate analysis revealed significant differences in multiple immune markers between the non-metastatic and metastatic groups(all P<0.05),including:lymphocyte count,CD3+,CD4+,and CD8+T,CD19+B cells,absolute counts of CD3-CD16+CD56+NK cells,percentages of Treg cells,CD8+CD28+Treg cells,G-MDSC,and CD3-CD16+CD56+dim NK cells,and levels of cytokine IL-1β,IL-6,and IL-10.Binary logistic regression analysis of differential indicators suggested that the percentage of Treg cells and CD8+CD28+Treg cells in peripheral blood were independent predictors of distant metastasis in lung cancer(OR=1.193,95%CI[1.047,1.36],P<0.01;OR=0.978,95%CI[0.957,0.999],P<0.05).Conclusion:Peripheral blood immune dysfunction is the biological basis for'qi deficiency'in lung cancer metastasis.This study quantitatively demonstrates the correlation between peripheral immune function status and lung cancer metastasis,providing empirical evidence for the theories of'qi deficiency and hidden toxicity'and'metastatic state of tumors'.

Biliary tract cancers (BTC), a heterogeneous disease with poor prognosis, including gallbladder cancer (GBC), intrahepatic cholangiocarcinoma (ICC), and extrahepatic cholangiocarcinoma (ECC). Although surgery is currently the primary regimen to treat BTC, most BTC patients are diagnosed at an advanced stage and miss the opportunity of surgical eradication. As a result, non-surgical therapy serves as the main intervention for advanced BTC. In recent years, immunotherapy has emerged as one of the most promising therapies in a number of solid cancers, and it includes immune checkpoint inhibitors (ICIs) monotherapy or combined therapy, tumor vaccines, oncolytic virus immunotherapy, adoptive cell therapy (ACT), and cytokine therapy. However, these therapies have been practiced in limited clinical settings in patients with BTC. In this review, we focus on the discussion of latest advances of immunotherapy in BTC and update the progress of multiple current clinical trials with different immunotherapies.

Purpose To investigate the abnormal brain development in fetuses with isolated mild to moderate ventriculomegaly(VM)during the second and third trimesters of pregnancy by using semi-quantitative fetal total maturation score(fTMS).Materials and Methods A retrospective analysis was performed on 45 normal fetuses and 78 abnormal fetuses who underwent fetal MRI in the General Hospital of Ningxia Medical University from January 2018 to October 2022.fTMS was used to score all images.Linear regression was used to assess the relationship between fTMS and gestational age between normal and abnormal fetuses and to analyze the differences between fetuses with isolated mild and moderate VM and controls.Results In the control group,fetal fTMS was significantly positively correlated with gestational age(r=0.939,P<0.05).The linear regression equation between fTMS(Y)and gestational age(X)was as follows:Y=-28.1+1.25X.In the mild and moderate isolated VM groups,fTMS was positively correlated with gestational age(r=0.945,0.906,P<0.05).The linear regression equations of fTMS(Y)and gestational age(X)were:Y=-28.46+1.24X,Y=-25.57+1.13X.The average fTMS of healthy fetus,mild VM and moderate VM were(10.55±4.25)points,(10.13+4.08)points and(9.22±3.77)points,respectively.There was no significant difference in fTMS between the 49 fetuses with mild isolated VM and the control group(t=1.651,P>0.05).There was significant difference in fTMS between the 29 fetuses with moderate isolated VM and the control group(t=2.306,P<0.05).Conclusion fTMS is suitable for routine clinical use and sensitive to differences in brain maturation between fetuses with isolated moderate VM and healthy controls.

In response to the challenge of sintering silicon carbide ceramic into complex part,which limits it application in certain mechanical seal,a design was developed that integrates silicon carbide ring with metal component to create a mechanical sealed with intricate structure.Type tests and durability tests were designed and conducted in the context of urine processor assembly for space stations,the test results indicate that the static liquid leakage rate of mosaic type mechanical seal did not exceed 0.88 mL/h under a pressure differential of 50 kPa,and the dynamic liquid leakage rate did not exceed 0.47 mL/h at a rotational speed of 400 r/min.The vibration and impact qualification tests of dynamic environment were conducted under the conditions of mechanical seals installed.There was no change in sealing performance observed before and after the tests.Following that,a 4 500-hour durability test was performed in pretreated urine.The results showed good sealing performance.After the test,the mechanical seals were disassembled and checked.the installation and appearance of ceramic rings were found to be in good condition,with no visible corrosion or wear.The results suggest that this integrated structure meets the requirements for complex mechanical structures and can operate stably over extended periods under acidic and corrosive liquid conditions.