1.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
2.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
4.Medication therapy management of a diabetic patient complicated with cardiovascular disease
Jigang SI ; Xue SUN ; Jianqiao ZHANG ; Yedong WEI ; Yuexuan WANG
China Pharmacy 2024;35(19):2416-2421
OBJECTIVE To provide reference for medication therapy management (MTM) of diabetic patients complicated with cardiovascular disease. METHODS A 63-year-old male diabetic patient who suffered from temporary headache every morning after percutaneous coronary intervention (PCI) visited the neurology department of our hospital, and then was recommended to the pharmaceutical outpatient department. The pharmacists thought that the patient’s symptoms of headache, severe constipation and hyperuricemia were more likely induced by the medication used. The pharmacists further found that his atherosclerotic cardiovascular disease (ASCVD) influencing factors such as blood pressure, heart rate, blood glucose and blood lipids did not reach standard. The pharmacists provided MTM services for the patient through pharmacy inquiry and adverse drug reactions judgement, medication evaluation, medication reconciliation, medication education and pharmacy follow-up. RESULTS Through fifteen MTM services for thirteen weeks, the pharmacists reconciliated and optimized the medication therapy plan, discontinued the use of Isosorbide mononitrate sustained-release tablets, Nifedipine controlled-release tablets, and Indapamide tablets, which caused adverse drug reactions; the number of drugs was adjusted from fifteen to seven, and the symptom of headache disappeared; severe constipation had also been significantly improved, and hyperuricemia dropped to normal range. The ASCVD influencing factors of blood pressure, heart rate, fasting plasma glucose, glycosylated hemoglobin, low-density lipoprotein cholesterol and uric acid were reduced from >140/90 mmHg(1 mmHg=0.133 kPa), 70-80 beats per minute, 7.71 mmol/L, 7.2%, 2.13 mmol/L and 494 μmol/L before MTM services to <130/80 mmHg, 55-60 beats per minute, 6.22 mmol/L, 6.3%, 1.55 mmol/L and 348 μmol/L after MTM services. CONCLUSIONS The pharmacists providing MTM services to the patients can improve their quality of life and therapeutic efficacy, reduce medication risks, and enhance the level of rational drug use in hospitals and pharmaceutical service capabilities.
5.Mechanism of Treatment of Hepatocellular Carcinoma with Traditional Chinese Medicine Based on Epigenetic Regulation: A Review
Xianyu XU ; Yongping ZHU ; Yanqing LIU ; Liwei GU ; Junzhe ZHANG ; Shengnan SHEN ; Jigang WANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(23):281-291
Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world. In recent years, the clinical early diagnosis and treatment protocols of HCC have been improved, whereas the prognosis of patients is still not satisfactory, which is due to the fact that the mechanism of HCC development has not been fully elucidated. Therefore, it is of great significance to explore the molecular mechanisms and key regulatory links of hepatocellular carcinoma development to further improve the diagnosis and treatment of HCC in China. Epigenetics has become a research hotspot because of its reversibility and easy regulation. According to relevant studies, HCC involves the accumulation of multiple genetic and epigenetic changes during the initiation, promotion, and progression stages. HCC is categorized as infantile malnutrition with accumulation, hypochondriac pain, tympan ites, and abdominal mass in traditional Chinese medicine (TCM). In the treatment of HCC, TCM with low toxicity, multi-targets, and multi-mechanisms can inhibit tumor growth, alleviate the clinical symptoms, and enhance the quality of life of the patients. Chinese medicines and their active ingredients exert anti-HCC effects through epigenetic regulation of DNA methylation, histone modification, and non-coding RNA. Abnormal gene expression due to epigenetic regulation disorders is involved in all stages of HCC development. There are few studies on epigenetic regulation in TCM treatment of HCC, and there is still much room for development in basic and clinical trials. This paper reviews the mechanism of epigenetic regulation in HCC and summarizes the experimental results of TCM research on the related mechanism, with a view to providing a theoretical basis for future research on the mechanism of HCC development and clinical diagnosis and treatment of hepatocellular carcinoma with TCM.
6.Comparative analysis of endoscopic treatment and conservative treatment in 197 cases of gastric stones
Rong SU ; Ruirui HOU ; Xiangkun MENG ; Yu MIAO ; Feixiong ZHANG ; Jigang RUAN ; Shaoqi YANG
The Journal of Practical Medicine 2024;40(10):1389-1395
Objective To compare different treatment methods for patients with gastric calculi and provide data support for clinical treatment.Methods A total of 197 patients diagnosed with gastric calculi by gastroscopy at the General Hospital of Ningxia Medical University and Cardio-Cerebrovascular Disease Hospital of General Hospital of Ningxia Medical University from July 2013 to January 2024 were enrolled.The study collected general information and other data of the patients,and divided them into groups based on the selected treatment method using a real-world research approach.The subjects were divided into four groups:drug conservative treatment group,endoscopic homemade snare treatment group,disposable snare treatment group,and stone fragmentation treatment group.Statistical analysis was performed using one-way analysis of variance.Results Gastric calculi were more common in men,with an average age of(55.45±14.21).85.3%of the patients had a history of eating persimmon,86.3%had ulcers,and 65.9%were located in the gastric angle.The self-made snare group had the lowest treatment cost,while the stone fragmentation group had the highest.There was no significant difference in the remission time of clinical symptoms among the three endoscopic treatment methods.The self-made snare had the highest patient satisfaction,but the drug combined with carbonated beverage group had the longest remission time of clinical symptoms and the lowest patient satisfaction.The frequency and duration of endoscopic treatment of dark green gastric stones were significantly higher than those of mottled and golden yellow gastric stones.Conclusion When treating patients with gastric stones,it is important to consider the size and color of the stone,as well as the patient's preferences.Patients should be fully informed about their condition and the advantages of different treatments.For patients with larger stones(about 5 cm),endoscopic snare treatment is recommended as the first choice.
7.Study on the curative effect of 308nm excimer laser combined with halometasone cream on vitiligo
Xue LI ; Jigang ZHANG ; Jie ZHANG ; Junping ZHAO
China Medical Equipment 2024;21(7):107-110,115
Objective:To explore the curative effect of 308nm excimer laser combined with halometasone cream on vitiligo.Methods:A total of 100 patients with vitiligo who admitted to PLA Rocket Force Characteristic Medical Center from January 2022 to January 2023 were selected.They were randomly divided into control group(50 cases)which underwent treatment by halometasone cream,and observation group(50 cases)which underwent treatment by 308nm excimer laser combined with halometasone cream.The levels of T cell subpopulations(CD3+,CD4+,CD8+),inflammatory cytokines[interleukin-10(IL-10),interleukin-17(IL-17),interleukin-23(IL-23)],serum monocyte chemotactic protein-1(MCP-1)and soluble intercellular adhesion molecules-1(sICAM-1)between two groups were compared,and the effective rate of treatment and the incidence of adverse reaction between two groups were also compared.Results:The effective rate of treatment of the observation group was 96.00%(48/50),which was significantly higher than that[82.00%(41/50)]of control group,and the difference was significant(x2=5.005,P<0.05).After treatment,the CD3+,CD4+and CD4+/CD8+levels of the observation group increased,while the CD8+level decreased,and the difference of T cell subpopulations between two groups were significant after treatment(t=6.745,2.406,3.969,3.998,P<0.05),respectively.After treatment,the IL-10 level of observation group was higher than that of control group,while the IL-17,IL-23,MCP-1 and sICAM-1 levels of observation group were significantly lower than those of control group(t=11.607,5.892,9.140/9.920,14.682,P<0.05),respectively.The incidence of adverse reaction of observation group and control group were respectively 14.00%(7/50)and 10.00%(5/50),and the difference of that between the two groups was no significant(P>0.05).Conclusion:308nm excimer laser combined with halometasone cream has a favorable effect in treating vitiligo,which can improve the levels of T cell subpopulations,inflammatory cytokines,MCP-1 and sICAM-1.It does not increase adverse reactions.Therefore,it has a certain clinical value.
8.Single-cell transcriptome analysis reveals the regulatory effects of artesunate on splenic immune cells in polymicrobial sepsis
Jiayun CHEN ; Xueling HE ; Yunmeng BAI ; Jing LIU ; Kwan-Yin WONG ; Lulin XIE ; Qian ZHANG ; Piao LUO ; Peng GAO ; Liwei GU ; Qiuyan GUO ; Guangqing CHENG ; Chen WANG ; Jigang WANG
Journal of Pharmaceutical Analysis 2023;13(7):817-829
Sepsis is characterized by a severe and life-threatening host immune response to polymicrobial infection accompanied by organ dysfunction.Studies on the therapeutic effect and mechanism of immunomod-ulatory drugs on the sepsis-induced hyperinflammatory or immunosuppression states of various im-mune cells remain limited.This study aimed to investigate the protective effects and underlying mechanism of artesunate(ART)on the splenic microenvironment of cecal ligation and puncture-induced sepsis model mice using single-cell RNA sequencing(scRNA-seq)and experimental validations.The scRNA-seq analysis revealed that ART inhibited the activation of pro-inflammatory macrophages recruited during sepsis.ART could restore neutrophils'chemotaxis and immune function in the septic spleen.It inhibited the activation of T regulatory cells but promoted the cytotoxic function of natural killer cells during sepsis.ART also promoted the differentiation and activity of splenic B cells in mice with sepsis.These results indicated that ART could alleviate the inflammatory and/or immunosuppressive states of various immune cells involved in sepsis to balance the immune homeostasis within the host.Overall,this study provided a comprehensive investigation of the regulatory effect of ART on the splenic microenvironment in sepsis,thus contributing to the application of ART as adjunctive therapy for the clinical treatment of sepsis.
9.A single-cell landscape of triptolide-associated testicular toxicity in mice
Wei ZHANG ; Siyu XIA ; Jinhuan OU ; Min CAO ; Guangqing CHENG ; Zhijie LI ; Jigang WANG ; Chuanbin YANG
Journal of Pharmaceutical Analysis 2023;13(8):880-893
Triptolide is a key active component of the widely used traditional Chinese herb medicine Tripterygium wilfordii Hook.F.Although triptolide exerts multiple biological activities and shows promising efficacy in treating inflammatory-related diseases,its well-known safety issues,especially reproductive toxicity has aroused concerns.However,a comprehensive dissection of triptolide-associated testicular toxicity at single cell resolution is still lacking.Here,we observed testicular toxicity after 14 days of triptolide exposure,and then constructed a single-cell transcriptome map of 59,127 cells in mouse testes upon triptolide-treatment.We identified triptolide-associated shared and cell-type specific differentially expressed genes,enriched pathways,and ligand-receptor pairs in different cell types of mouse testes.In addition to the loss of germ cells,our results revealed increased macrophages and the inflammatory response in triptolide-treated mouse testes,suggesting a critical role of inflammation in triptolide-induced testicular injury.We also found increased reactive oxygen species(ROS)signaling and down-regulated pathways associated with spermatid development in somatic cells,especially Leydig and Sertoli cells,in triptolide-treated mice,indicating that dysregulation of these signaling pathways may contribute to triptolide-induced testicular toxicity.Overall,our high-resolution single-cell landscape offers comprehensive information regarding triptolide-associated gene expression profiles in major cell types of mouse testes at single cell resolution,providing an invaluable resource for understanding the underlying mechanism of triptolide-associated testicular injury and additional discoveries of therapeutic targets of triptolide-induced male reproductive toxicity.
10.Single-cell transcriptome analysis uncovers underlying mechanisms of acute liver injury induced by tripterygium glycosides tablet in mice
Qiuyan GUO ; Jiangpeng WU ; Qixin WANG ; Yuwen HUANG ; Lin CHEN ; Jie GONG ; Maobo DU ; Guangqing CHENG ; Tianming LU ; Minghong ZHAO ; Yuan ZHAO ; Chong QIU ; Fei XIA ; Junzhe ZHANG ; Jiayun CHEN ; Feng QIU ; Jigang WANG
Journal of Pharmaceutical Analysis 2023;13(8):908-925
Tripterygium glycosides tablet(TGT),the classical commercial drug of Tripterygium wilfordii Hook.F.has been effectively used in the treatment of rheumatoid arthritis,nephrotic syndrome,leprosy,Behcet's syndrome,leprosy reaction and autoimmune hepatitis.However,due to its narrow and limited treatment window,TGT-induced organ toxicity(among which liver injury accounts for about 40%of clinical reports)has gained increasing attention.The present study aimed to clarify the cellular and molecular events underlying TGT-induced acute liver injury using single-cell RNA sequencing(scRNA-seq)technology.The TGT-induced acute liver injury mouse model was constructed through short-term TGT exposure and further verified by hematoxylin-eosin staining and liver function-related serum indicators,including alanine aminotransferase,aspartate aminotransferase,alkaline phosphatase and total bilirubin.Using the mouse model,we identified 15 specific subtypes of cells in the liver tissue,including endothelial cells,hepatocytes,cholangiocytes,and hepatic stellate cells.Further analysis indicated that TGT caused a significant inflammatory response in liver endothelial cells at different spatial locations;led to marked inflammatory response,apoptosis and fatty acid metabolism dysfunction in hepatocytes;activated he-patic stellate cells;brought about the activation,inflammation,and phagocytosis of liver capsular macrophages cells;resulted in immune dysfunction of liver lymphocytes;disturbed the intercellular crosstalk in liver microenvironment by regulating various signaling pathways.Thus,these findings elaborate the mechanism underlying TGT-induced acute liver injury,provide new insights into the safe and rational applications in the clinic,and complement the identification of new biomarkers and ther-apeutic targets for liver protection.

Result Analysis
Print
Save
E-mail