This case report describes a 68-year-old male patient diagnosed with primary hepatocellular carcinoma (HCC). After receiving Yttrium-90 microsphere selective internal radiation therapy (⁹⁰Y-SIRT), the tumor significantly reduced in size, and tumor markers alpha fetoprotein (AFP) and abnormal prothrombin (PIVKA-Ⅱ) decreased. Postoperative pathological results showed minimal residual tumor cells, indicating that ⁹⁰Y-SIRT has good efficacy and safety in downstaging and conversion of HCC, thereby facilitating subsequent surgical resection.

Oral cancer is one of the most common malignancies in the head and neck regions. few patients benefit from current clinical therapy. Zinc finger proteins (ZNFs) are one of the largest transcription factor family proteins in the human genome. ZNFs bind to DNA, RNA, and proteins through their unique three-dimensional structure created by zinc ions to regulate gene transcription, RNA packaging, and protein folding. In recent years, the number of studies focused on the functional mechanism of ZNFs in regulating the progression of oral cancer has been increasing, with focuses on: ① ZNF677, ZNF460, ZNF154, ZNF132, ZNF281, Kaiso, and ZNF582, which regulate the invasion and metastasis of tumor cells; ② ZNF750 and PEST-containing nuclear protein (PCNP), which regulate the cell cycle; ③ ZNFs, which are involved in forming the tumor immune microenvironment, such as ZNF71 and myeloid zinc finger 1 (MZF1). For example, methylation modification modulates the reduction of ZNF677 in oral cancer and reduces the proliferation, migration, and invasion of oral cancer cells by inhibiting the protein kinase B/forkhead box O3a (AKT/FOXO3a) pathway; and ZNF460 promotes the proliferation, migration, and invasion of oral cancer cells by regulating microRNA-320a/alpha thalassemia/mental retardation, X-linked (ATRX) axis. In addition, ZNF750 inhibits the growth and metastasis of oral cancer by suppressing cell cycle transcription factor activity. Further, ZNF71 promotes the progression of oral cancer by reducing the infiltration of tumor immune cells. In this review, we will summarize the molecular mechanism, regulatory meshwork, and pro-tumor and anti-tumor roles of ZNFs in the pathogenesis of oral cancer. Our study may provide a new strategy for the diagnosis and treatment of oral cancer.

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.

Background: The transvenous approach to the treatment of cerebral arteriovenous malformation (AVM) is difficult and requires strict blood pressure and blood flow control; however, the cure rate is very high. Appropriate blood pressure control techniques can greatly benefit these patients.Case: A 55-year-old male patient was found to have an aneurysm complicated with a cerebral AVM (length: 2.0 cm, width: 1.6 cm, height: 1.2 cm). Aneurysm embolization was considered for the first-stage surgery and transvenous AVM embolization for the second-stage surgery. Rapid ventricular pacing (RVP) provided a stable blood flow environment for the surgery, which was completed successfully. Conclusion RVP can thus provide an ideal condition for the embolization of cerebral AVM through the transvenous approach and can be a viable surgical option.

Background: The transvenous approach to the treatment of cerebral arteriovenous malformation (AVM) is difficult and requires strict blood pressure and blood flow control; however, the cure rate is very high. Appropriate blood pressure control techniques can greatly benefit these patients.Case: A 55-year-old male patient was found to have an aneurysm complicated with a cerebral AVM (length: 2.0 cm, width: 1.6 cm, height: 1.2 cm). Aneurysm embolization was considered for the first-stage surgery and transvenous AVM embolization for the second-stage surgery. Rapid ventricular pacing (RVP) provided a stable blood flow environment for the surgery, which was completed successfully. Conclusion RVP can thus provide an ideal condition for the embolization of cerebral AVM through the transvenous approach and can be a viable surgical option.

Background: The transvenous approach to the treatment of cerebral arteriovenous malformation (AVM) is difficult and requires strict blood pressure and blood flow control; however, the cure rate is very high. Appropriate blood pressure control techniques can greatly benefit these patients.Case: A 55-year-old male patient was found to have an aneurysm complicated with a cerebral AVM (length: 2.0 cm, width: 1.6 cm, height: 1.2 cm). Aneurysm embolization was considered for the first-stage surgery and transvenous AVM embolization for the second-stage surgery. Rapid ventricular pacing (RVP) provided a stable blood flow environment for the surgery, which was completed successfully. Conclusion RVP can thus provide an ideal condition for the embolization of cerebral AVM through the transvenous approach and can be a viable surgical option.

Background: The transvenous approach to the treatment of cerebral arteriovenous malformation (AVM) is difficult and requires strict blood pressure and blood flow control; however, the cure rate is very high. Appropriate blood pressure control techniques can greatly benefit these patients.Case: A 55-year-old male patient was found to have an aneurysm complicated with a cerebral AVM (length: 2.0 cm, width: 1.6 cm, height: 1.2 cm). Aneurysm embolization was considered for the first-stage surgery and transvenous AVM embolization for the second-stage surgery. Rapid ventricular pacing (RVP) provided a stable blood flow environment for the surgery, which was completed successfully. Conclusion RVP can thus provide an ideal condition for the embolization of cerebral AVM through the transvenous approach and can be a viable surgical option.

ObjectiveTo analyze the trend of lung cancer incidence in Fenghua District, Ningbo City of Zhejiang Province from 2009 to 2023, and to estimate the age-period- cohort effects of incidence rate, so as to provide scientific basis for the formulation of lung cancer prevention and control measures in Fenghua District. MethodsJoinpoint software was utilized to analyze the trends and calculate the average annual percentage change (AAPC) of lung cancer incidence based on the tumor incidence surveillance data from Fenghua District, 2009‒2023. The age-period-cohort (APC) model for lung cancer incidence was analyzed using STATA 17.0 software, and net drift and local drift of lung cancer incidence rates were analyzed using online analytical tools. ResultsThe incidence of lung cancer in Fenghua District showed an overall upward trend from 2009 to 2023, with the standardized incidence rate increasing from 45.05/100 000 in 2009 to 108.20/100 000 in 2023(AAPC=7.05%, P<0.05). The increase in the standardized incidence rate for females (AAPC=12.72%, P<0.05) was higher than that for males (AAPC=2.97%, P<0.05). The overall net drift in lung cancer incidence for residents of Fenghua District was 11.71%, with the net drift for females (16.54%) being higher than that for males (6.64%). The local drift in lung cancer incidence among different age groups ranged from -3.37% to 35.18%. The results of APC model showed that the risk of lung cancer incidence increased and then decreased with age, with the highest age effect coefficient observed in the 65‒69 years age group at 1.08. The period effect showed a gradually increasing trend in lung cancer incidence risk with the progression of time, and the period effect coefficient in 2019‒2023 (0.46) was higher than that in 2009‒2013 (-0.39), increasing by 217.95%. The cohort effect coefficient showed a trend of first decreasing and then increasing with the expansion of the birth cohort, in which the lowest cohort effect coefficient was -1.07 observed in the birth cohort of 1964‒1968 and the highest cohort effect coefficient was 1.77 in the birth cohort of 1924‒1928. ConclusionThe incidence of lung cancer in Fenghua District shows an upward trend from 2009 to 2023, with a higher increase in incidence rates among females than that in males. The risk of lung cancer incidence exists a trend of increasing and then decreasing with age growth. With the progression of time, the risk of lung cancer incidence shows a gradually increasing trend. However, with the expansion the birth cohort, the risk of lung cancer incidence demonstrates a trend of first decreasing and then increasing.

As traditional Chinese medicine （TCM） culture evolves， the academic thoughts of these practitioners， being a core component of TCM inheritance， are gradually shifting from traditional models to digital and intelligent approaches. However， this process faces challenges， including insufficient standardization of data collection and processing， low inheritance efficiency， and the risk of inheritance alienation. To address these issues， this paper proposed the construction of an intelligent platform following the "intelligence-transmission-modeling-linkage" path. "Intelligence" involves using smart perception technologies to accurately collect and classify diagnostic and therapeutic information from famous TCM practitioners， laying the foundation for digital inheritance； "transmission" focuses on leveraging artificial intelligence to mine and inherit the clinical experience of famous TCM practitioners， thereby establishing a "regional academic schools+group commonality" dynamic inheritance system； "modeling" integrates the academic thoughts and advantageous diseases of multiple schools to develop intelligent diagnostic and therapeutic models of famous TCM practitioners， resulting in personalized treatment plans； "linkage" involves constructing a clinical decision support system of famous TCM practitioners by integrating blockchain and generative intelligence， creating an AI digital avatar of TCM diagnostic and therapeutic knowledge. The "intelligence-transmission-modeling-linkage" intelligent inheritance model not only provides new ideas for the digital inheritance of TCM academic schools， but also offers strong support for the modernization and internationalization of TCM.

Human exhaled breath has great application prospects,e.g.,monitoring pharmacokinetics,disease diagnosis,due to its advantages such as non-invasive and high-frequency sampling.Breath samples can be collected from the oral and nasal cavity.However,the oral and nasal environment affect the chemical composition of breath sample.Therefore,the investigation on the chemical composition of mouth-exhaled breath and nose-exhaled breath is crucial for selection of appropriate sampling strategy for individual studies.In this work,secondary electrospray ionization-high resolution mass spectrometry(SESI-HRMS)was applied to analysis of respiratory metabolomics in real time.A quantitative analysis approach was established for 9 kinds of volatile organic compounds(VOCs)e.g.2-butanone,2-pentanone,ethyl acetate,methyl methacrylate,toluene,styrene,mesitylene,isoprene and limonene.The limit of detection was 2.3?240.8 ng/m3.The intra-day(n=6)and inter-day(n=18)relative standard deviations were 0.6%?4.6%and 4.3%?12.2%,respectively.Nine healthy subjects were recruited to investigate the chemical composition of mouth-exhaled and nose-exhaled breath.The results showed the good performance in quantitative analysis of 9 VOCs in breath air.It was found that the number of unique component(m/z)detected in mouth-exhaled breath(167)was 2.2 times greater than that detected in nose-exhaled breath(76),which might result from the complex environment in oral cavity.The signal intensity of commun component(163)was significantly different between mouth-exhaled breath and nose-exhaled breath.Additionally,the elemental composition analysis showed that the proportion of polar compounds detected in nose-exhaled breath was higher than that in mouth-exhaled breath.This study demonstrated that there was significant differences in the chemical composition between mouth-exhaled and nose-exhaled breath,which provided a theoretical basis for selection of exhalation mode.