ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

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.

Primary female genital system lymphoma(PFGSL)is a rare subtype of extranodal lymphoma and patients commonly present in the department of gynecology.At present,there is a lack of uniform standards for the treatment of PFGSL.Although the classification of lymphoid neoplasmas was updated by the World Health Organization classification of haematolymphoid tumors in 2016,PFGSL was still not elaborated in sufficient detail.Most cases of PFGSL are non-Hodgkin lymphoma,involving the ovary and cervix.In some cases,involvement of uterine corpus,vagina,and vulva is reported.In this article,we report two cases of non-Hodgkin lymphoma in the female genital system,one from the uterus and the other from the ovary.By presenting the diagnosis and treatment of the two cases and reviewing the literature,we aim to provide a reference for clinicians in recognizing and treating rare cases.
Female ; Humans ; Genital Neoplasms, Female/diagnosis* ; Lymphoma, Non-Hodgkin/diagnosis* ; Ovarian Neoplasms

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:To summarize the clinicopathological features, evolving trends in treatment and surgical approaches, and survival outcomes of patients who underwent D2 radical gastrectomy for gastric cancer in Shanxi Provincial Cancer Hospital over the past 11 years with the goal of providing a reference for the clinical practice of gastric cancer in this region.Methods:A retrospective observational study was conducted to analyze the clinicopathological data of patients who underwent D2 radical gastrectomy for pathologically confirmed gastric malignancy at the Department of Gastrointestinal Surgery, Shanxi Provincial Cancer Hospital from January, 2013 to December, 2023. Exclusion criteria consisted of: (1) residual gastric cancer or recurrent gastric cancer after surgery; (2) emergency gastric cancer resection due to bleeding, perforation, obstruction, or other causes; (3) comorbidity with other primary malignant tumors; (4) severe preoperative cardiopulmonary insufficiency or hepatic and renal insufficiency who cannot tolerate radical surgery; and (5) inconsistent main diagnosis information across the medical record system, pathological system, and gastric cancer-specific database. Patients were divided into three groups based on treatment methods: the surgery-only group, the perioperative chemotherapy group, and the adjuvant chemotherapy group. Endpoints included: (1) baseline patient characteristics; (2) trends in tumor location and pathological features; (3) evolution of treatment modalities; and (4) survival outcomes.Results:A total of 15,644 patients were included in the analysis, with 12,591 males and 3,053 females, the male-to-female gender ration was approximately 4∶1; the mean age was (61.2±9.5) years. The tumor sites were mainly concentrated in the esophagogastric junction (EGJ) (57.4%), followed by the antrum (25.9%). The incidence of EGJ cancer initially rose and then declined. However, gastric antrum tumors remained stable, and gastric body tumors showed a slow upward trend after 2020, accounting for 16.7%. In terms of pathological types, poorly differentiated carcinoma was the most prevalent, accounting for 55.9%, followed by moderately differentiated carcinoma (24.2%), mucinous adenocarcinoma (or signet ring cell carcinoma,14.1%), neuroendocrine carcinoma (4.8%), and well-differentiated carcinoma (0.9%). The proportion of poorly differentiated adenocarcinoma showed a significant upward trend overall as well, peaking at 65.6% in 2022 and decreasing to 57.5% in 2023. Mucinous adenocarcinoma (or signet ring cell carcinoma) exhibited fluctuations with a first increase followed by a decrease: it peaked at 17.3% in 2018, dropped sharply to 8.4% in 2022, and rose back to 13.8% in 2023. The proportions of well-differentiated adenocarcinoma, moderately differentiated adenocarcinoma, and neuroendocrine tumors remained stable year by year. In terms of pathological staging, the overall proportions of gastric cancer at Stage 0, Stage I, Stage II, Stage III, and Stage IVa were 0.5%, 17.3%, 25.1%, 54.9%, and 2.3%, respectively. For Stage III, its proportion was 74.6% in 2013, which decreased to 46.4% by 2023. Stages I and II gastric cancer showed an upward trend, with their proportions rising from 10.2% and 12.1% in 2013 to nearly 21.0% and 29.6% in 2023, respectively. Between 2013 and 2023, the proportion of patients who received surgery alone continued to decrease, with this proportion dropping to 34.7% in 2023. In contrast, the number of patients who received adjuvant chemotherapy increased year by year, reaching 54.2% in 2023. Since 2017, the application of perioperative chemotherapy has gradually increased, rising to 11.1% in 2023. Immunotherapy showed an almost synchronous growth trend with perioperative chemotherapy. However, targeted therapy exhibited a downward trend after a period of growth. There were 10,704 cases of open surgery (68.4%), 4,744 cases of laparoscopic surgery (30.3%), and 193 cases of transthoracic surgery (1.2%). Pathological margin positivity was observed in 443 cases (2.8%), and the volume of gastric cancer surgeries gradually increased, peaked in 2021 before subsequently decreasing gradually. However, the volume of laparoscopic surgeries did not decrease; instead, it showed an upward trend. The main resection method for EGJ tumors was total gastrectomy, accounting for 78.5% of the total, followed by proximal gastrectomy, which accounted for 21.5%. After total gastrectomy, esophagojejunal Roux-en-Y anastomosis was the primary anastomotic method, and for proximal gastrectomy, the main anastomotic method was esophagogastric anastomosis, which accounted for 68.0% of the total. For distal gastrectomy, Billroth II anastomosis was the most common anastomotic technique, accounting for 92.7% of these procedures. The overall incidence of postoperative complications was 14.5% (2,264/15,644), among which the incidence of severe complications (grades III-IV) was 4.5% (706/15,644). The entire cohort was followed up with for (47.1±36.8) months, and the 1-year, 3-year, and 5-year overall survival rates were 86.4%, 65.9%, and 58.1%, respectively. For patients with stage 0, I, II, III, and IV gastric adenocarcinoma, the 1-year overall survival rates were 95.7%, 98.0%, 89.4%, 81.0%, and 49.1%, respectively; the 3-year overall survival rates were 92.1%, 94.6%, 81.9%, 51.4%, and 14.7%, respectively; and the 5-year overall survival rates were 89.4%, 91.7%, 75.1%, 41.5%, and 10.0%, respectively. For patients with stage I, II, III, and IV gastric neuroendocrine carcinoma, the 1-year overall survival rates were 96.7%, 91.1%, 73.8%, and 52.6%, respectively; the 3-year overall survival rates were 87.2%, 69.6%, 46.1%, and 32.1%, respectively; and the 5-year overall survival rates were 87.2%, 62.2%, 36.7%, and 32.1%, respectively.Conclusions:Gastric cancer in Shanxi Province is characterized by a male predominance, a high prevalence of tumors at the esophagogastric junction, a large proportion of poorly differentiated adenocarcinoma, and presentation at advanced stages (predominantly Stage III). The detection rate of early gastric cancer has been increasing year by year, the volume of laparoscopic surgeries has been on the rise annually, and the treatment model has shifted from single surgery to comprehensive treatment.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

OBJECTIVE: To investigate the effect of non-chemotherapy strategy of retinoic acid (ATRA) combined with arsenic trioxide (ATO) on the survival of patients with acute promyelocytic leukemia (APL). METHODS: The data of APL patients with complete information diagnosed in the hematology department of our hospital from June 2009 to November 2024 were retrospective analyzed. All patients in the non-CHT group received ATRA-ATO induction, consolidation and maintenance therapy. Patients in the CHT group received ATRA-ATO+chemotherapy induction therapy, followed by 3 cycles of ATRA-ATO+CHT consolidation therapy and 6-10 cycles of ATRA-ATO maintenance therapy. The primary endpoint was event-free survival (EFS). Secondary endpoints included overall survival (OS), remission rate, differentiation syndrome (DS) and safety. RESULTS: There were 182 patients with APL and 15 patients with early death (ED), accounting for 8.24%, which was related to age and risk stratification. There was no significant difference in remission rate between the non-CHT group and the CHT group (P =0.486). As of February 2025, the median follow-up time of patients was 39.5 months. The EFS of the non-CHT group was significantly better than that of the CHT group (P =0.038). There was no significant difference in OS between the two groups (P =0.442). Subgroup analysis showed that EFS in the non-CHT was longer in standard-risk patients (P =0.012). There was no significant difference in EFS (P =0.585) and OS (P =0.473) between the CHT and non-CHT groups in high-risk patients. The incidence of mild DS was 23.6% in the non-CHT group and 23.1% in the CHT group, respectively, with no statistically significant difference(P =0.937). Compared with CHT group, the incidence of serious adverse events was lower in the non-CHT group. CONCLUSION The non-chemotherapy regimen of ATRA combined with ATO is a feasible method to cure APL patients.
Humans ; Leukemia, Promyelocytic, Acute/drug therapy* ; Arsenic Trioxide/therapeutic use* ; Tretinoin/administration & dosage* ; Retrospective Studies ; Female ; Treatment Outcome ; Male ; Adult ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Middle Aged ; Remission Induction

Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with "stopping" and "continuation" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; 23(2): 138-145.
Female ; Humans ; Male ; Bayes Theorem ; Disease Progression ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional/methods* ; Pulmonary Fibrosis/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Research Design ; Adaptive Clinical Trials as Topic

OBJECTIVE: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. METHODS: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. RESULTS: Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30-39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40-49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. CONCLUSION Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Humans ; Female ; Tongue/diagnostic imaging* ; Adult ; Anemia/diagnosis* ; Middle Aged ; Face/diagnostic imaging* ; Young Adult ; Machine Learning