Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective To satisfy the normalized disinfection in the orthopedic ward,an air sterilizer based on low-temperature plasma has been developed to investigate its sterilization results in a dynamic environment of hospitalization where patients,companions and medical workers are involved.Methods This study took an orthopedics ward in the Secondary Affiliated Hospital of Xi'an Jiaotong University,as the research object,where a home-made low-temperature plasma air sterilizer was utilized.A six-stage viable Andersen cascade impactor was used to sample the natural bacteria in the ward before and after machine operation for three hours.The species and quantity of bacteria in the ward were analyzed.Results The ozone concentration in the indoor dynamic environment decreased to below 5 ppbv.After three-hour disinfection,the elimination rate of natural bacteria reached 92.35％.The final colony forming unit decreased to～150 CFU/m3;the extinction rates of Staphylococcus hominis,Bacillus cereus,molds,and Micrococcus luteus were 90.48％,80.90％,87.50％,and 92.82％respectively.Even all Haemophilus massiliensis disappeared after two-hour treatment.Conclusion Intermittent disinfection of the dynamic environment in the ward using low-temperature plasma synergistic catalyst has enabled the indoor ozone concentration to reach the first-level national standard line,effectively suppressing secondary pollution caused by ozone leakage while efficiently killing suspended microorganisms in the air,which is close to the disinfection level Ⅰenvironment specified in Hygienic Standard for Disinfection in Hospitals(GB 15982-2012).The results also show that the plasma catalytic synergistic disinfection and sterilization has the technical advantages of efficient disinfection and human-machine coexistence,which can ensure indoor air quality safety,reduce the workload of nursing staff,and thus is an effective method to assist or even replace the existing physical and chemical means.

Objective To design a mobile smart pharmacy so as to enhance emergency medicine support in emergency rescue operations.Methods The mobile smart pharmacy was composed of a vehicle structure module,a medicine storage module,an information management module and a mobile smart pharmacy management system.The vehicle structure module with a closed boxcar was composed of a chassis,a boxcar framework,an extension module,a control module for electric power,term-perature and humidity and an unpacking and handling module;the medicine storage module with layer design was made up of medicine cabinets,an electronic lock control device,a LED display and paper signs;the information management module consisted of a main control module,a communication module,a drawer controlling module and a management module for medicine inbound and warehousing and an acquisition module for temperature and humidity;the mobile smart pharmacy management system was developed with Java language.Results The mobile smart pharmacy contributed to centralized stock-piling and rapid localization,inquiry and management of kinds of medicine,and ensured the medicine quality safety during the storage and delivery in emergency rescue operations.Conclusion The mobile smart pharmacy facilitates medicine mana-gement in emergency rescue operations,raises the rescue efficiency,meets the requirements for responding to types of disasters and enhances the abilities for emergency rescue effectively.[Chinese Medical Equipment Journal,2025,46(1):20-26]

Objective To satisfy the normalized disinfection in the orthopedic ward,an air sterilizer based on low-temperature plasma has been developed to investigate its sterilization results in a dynamic environment of hospitalization where patients,companions and medical workers are involved.Methods This study took an orthopedics ward in the Secondary Affiliated Hospital of Xi'an Jiaotong University,as the research object,where a home-made low-temperature plasma air sterilizer was utilized.A six-stage viable Andersen cascade impactor was used to sample the natural bacteria in the ward before and after machine operation for three hours.The species and quantity of bacteria in the ward were analyzed.Results The ozone concentration in the indoor dynamic environment decreased to below 5 ppbv.After three-hour disinfection,the elimination rate of natural bacteria reached 92.35％.The final colony forming unit decreased to～150 CFU/m3;the extinction rates of Staphylococcus hominis,Bacillus cereus,molds,and Micrococcus luteus were 90.48％,80.90％,87.50％,and 92.82％respectively.Even all Haemophilus massiliensis disappeared after two-hour treatment.Conclusion Intermittent disinfection of the dynamic environment in the ward using low-temperature plasma synergistic catalyst has enabled the indoor ozone concentration to reach the first-level national standard line,effectively suppressing secondary pollution caused by ozone leakage while efficiently killing suspended microorganisms in the air,which is close to the disinfection level Ⅰenvironment specified in Hygienic Standard for Disinfection in Hospitals(GB 15982-2012).The results also show that the plasma catalytic synergistic disinfection and sterilization has the technical advantages of efficient disinfection and human-machine coexistence,which can ensure indoor air quality safety,reduce the workload of nursing staff,and thus is an effective method to assist or even replace the existing physical and chemical means.

Objective To design a mobile smart pharmacy so as to enhance emergency medicine support in emergency rescue operations.Methods The mobile smart pharmacy was composed of a vehicle structure module,a medicine storage module,an information management module and a mobile smart pharmacy management system.The vehicle structure module with a closed boxcar was composed of a chassis,a boxcar framework,an extension module,a control module for electric power,term-perature and humidity and an unpacking and handling module;the medicine storage module with layer design was made up of medicine cabinets,an electronic lock control device,a LED display and paper signs;the information management module consisted of a main control module,a communication module,a drawer controlling module and a management module for medicine inbound and warehousing and an acquisition module for temperature and humidity;the mobile smart pharmacy management system was developed with Java language.Results The mobile smart pharmacy contributed to centralized stock-piling and rapid localization,inquiry and management of kinds of medicine,and ensured the medicine quality safety during the storage and delivery in emergency rescue operations.Conclusion The mobile smart pharmacy facilitates medicine mana-gement in emergency rescue operations,raises the rescue efficiency,meets the requirements for responding to types of disasters and enhances the abilities for emergency rescue effectively.[Chinese Medical Equipment Journal,2025,46(1):20-26]

Objective:To investigate the clinical features and therapeutic efficacy of patients with hereditary leiomyomatosis and renal cell carcinoma(RCC) syndrome-associated RCC (HLRCC-RCC) in China.Methods:The clinical data of 119 HLRCC-RCC patients with fumarate hydratase (FH) germline mutation confirmed by genetic diagnosis from 15 medical centers nationwide from January 2008 to December 2021 were retrospectively analyzed. Among them, 73 were male and 46 were female. The median age was 38(13, 74) years. The median tumor diameter was 6.5 (1.0, 20.5) cm. There were 38 cases (31.9%) in stage Ⅰ-Ⅱand 81 cases (68.1%) in stage Ⅲ-Ⅳ. In this group, only 11 of 119 HLRCC-RCC patients presented with skin smooth muscle tumors, and 44 of 46 female HLRCC-RCC patients had a history of uterine fibroids. The pathological characteristics, treatment methods, prognosis and survival of the patients were summarized.Results:A total of 86 patients underwent surgical treatment, including 70 cases of radical nephrectomy, 5 cases of partial nephrectomy, and 11 cases of reductive nephrectomy. The other 33 patients with newly diagnosed metastasis underwent renal puncture biopsy. The results of genetic testing showed that 94 patients had FH gene point mutation, 18 had FH gene insertion/deletion mutation, 4 had FH gene splicing mutation, 2 had FH gene large fragment deletion and 1 had FH gene copy number mutation. Immunohistochemical staining showed strong 2-succinocysteine (2-SC) positive and FH negative in 113 patients. A total of 102 patients received systematic treatment, including 44 newly diagnosed patients with metastasis and 58 patients with postoperative metastasis. Among them, 33 patients were treated with tyrosine kinase inhibitor (TKI) combined with immune checkpoint inhibitor (ICI), 8 patients were treated with bevacizumab combined with erlotinib, and 61 patients were treated with TKI monotherapy. Survival analysis showed that the median progression-free survival (PFS) of TKI combined with ICI was 18 (5, 38) months, and the median overall survival (OS) was not reached. The median PFS and OS were 12 (5, 14) months and 30 (10, 32) months in the bevacizumab combined with erlotinib treatment group, respectively. The median PFS and OS were 10 (3, 64) months and 44 (10, 74) months in the TKI monotherapy group, respectively. PFS ( P=0.009) and OS ( P=0.006) in TKI combined with ICI group were better than those in bevacizumab combined with erlotinib group. The median PFS ( P=0.003) and median OS ( P=0.028) in TKI combined with ICI group were better than those in TKI monotherapy group. Conclusions:HLRCC-RCC is rare but has a high degree of malignancy, poor prognosis and familial genetic characteristics. Immunohistochemical staining with strong positive 2-SC and negative FH can provide an important basis for clinical diagnosis. Genetic detection of FH gene germ line mutation can confirm the diagnosis. The preliminary study results confirmed that TKI combined with ICI had a good clinical effect, but it needs to be confirmed by the results of a large sample multi-center randomized controlled clinical study.

Objective To investigate the effect of silencing E6-associated protein(E6AP)on the level of p53 protein in human papilloma virus(HPV)negative cervical cancer cells(C33A cells).Methods The siRNA sequence silencing E6AP(siE6AP)and silencing control disordered siRNA sequence(siControl)were transfected into C33A cells with the mediation of LipofectamineTM2000 transfection reagent respectively.The silencing effect of siRNA on E6AP and the expression of p53and cleaved-caspase-3 proteins were detected by Western blot.Results The levels of E6AP protein in C33A cells of siE6AP group were significantly lower(t =-4.597,P<0.05),while the levels of p53 and cleaved-caspase-3 proteins were significantly higher than those of siControl group(t = 4.533 and 7.099 respectively,each P<0.05).Conclusion Silencing of E6AP significantly increased the expression of p53 protein in C33A cells,indicating that silencing of E6AP may restore the activity and function of p53 protein in C33A cells.