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.Glaucocalyxin A: A Review
Yuqian LU ; Qingchao TU ; Hailu YAO ; Jigang WANG ; Fei XIA
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(22):249-258
Glaucocalyxin A (GLA) is a natural diterpenoid extracted from Isodon amethystoides belonging to Labiatae. Modern pharmacological research has shown that GLA has anti-inflammatory, anti-tumor, anti-fibrotic, osteoporosis-ameliorating, and cardiovascular system-protecting activities and good biosafety. However, the low content in plants, poor solubility, high metabolic rate, and low bioavailability limit the application of GLA. To address these issues, researchers have studied the total synthesis, structural modification, and nanomedicine development of GLA. By reviewing the available studies about GLA in the past five years, we summarize the research progress in the total synthesis, pharmacological activities and mechanisms, and in vivo metabolic transformation, aiming to provide a theoretical basis for clarifying the specific mechanisms underlying the pharmacological activities of GLA and for further research, development, and clinical applications of GLA.
6.Treatment of Asthenospermia and Infertility with Liver Constraint and Kidney Deficiency in 45 Cases by Shugan Bushen Yulin Decoction (疏肝补肾毓麟汤) and Vitamin E Soft Capsules: A Multicenter Randomized Controlled Trial
Wang WANG ; Jigang CAO ; Min XIAO ; Yangyang ZHU ; Mengjie GAO ; Qikai WANG ; Xiaocui JIANG ; Heng HAO ; Siyi CHEN
Journal of Traditional Chinese Medicine 2024;65(18):1909-1914
ObjectiveTo observe the clinical efficacy and safety of Shugan Bushen Yulin Decoction (疏肝补肾毓麟汤, SBYD) in the treatment of asthenospermia and infertility with liver constraint and kidney deficiency. MethodsA multicenter, randomized, controlled clinical study was conducted in three hospitals in central China. Totally 95 patients with asthenospermia and infertility were controlled. According to random number table, the patients were divided into treatment group (47 cases) and control group (48 cases). The control group was given vitamin E soft capsules (100 mg per time, twice daily) orally, and the treatment group was given SBYD (one dose daily, 30 min after breakfast and dinner, about 200 ml each time) orally. The course of treatment was 12 weeks in both groups. After the treatment, the sperm concentration, percentage of forward motile sperm (PR), and percentage of total sperm activity, that is PR + percentage of non-progressively motile sperm (NP) were compared between groups, and the clinical efficacy was judged. Traditional Chinese medicine (TCM) syndrome score (inlcuding 6 single symptom scores and total symptoms score) and 21-item depression, anxiety, and stress scale (DASS-21) scores (including depression, anxiety and stress scores) were compared between the two groups before and after treatment. The patients were followed up for 6 months, and the pregnancy status of spouse between groups was compared. The occurrence of adverse events and vital signs during the trial were recorded for safety assessment. ResultsTwo cases in the treatment group and three cases in the control group dropped out. Finally, 45 cases in each group were included in the statistical analysis. The total effective rate was 86.67% (39/45) in the treatment group, significantly higher than 73.74% (33/45) in the control group (P<0.05). After treatment, PR and PR + NP significantly increased in both groups, and were much higher in the treatment group than in the control group (P<0.05). The scores of lumbar and knee soreness, emotional disturbance, cold sperm, chest and rib-side and lesser abdomen distension and pain, frequent sighing, and the total TCM syndrome score in the treatment group decreased after treatment (P<0.05); and except for cold sperm, the scores of other symptoms mentioned above as well as the total TCM syndrome score in the treatment group were lower than those in the control group (P<0.05). The scores of depression, anxiety and stress of DASS-21 in the treatment group decreased after treatment, and were lower than those in the control group (P<0.05). After 6 months of follow-up, the spouses of 5 patients in the treatment group and 3 patients in the control group got pregnant (P>0.05). No adverse events occurred in both groups during the treatment, and their vital signs were stable. ConclusionSBYD can obviously improve sperm vitality and effectively improve the clinical symptoms, anxiety and depression, and is safe in treating asthenospermia and infertility with liver constraint and kidney deficiency.
7.Investigate the effect of Shenling Baizhu Powder on the spermatogenic function of the testes in hyperuricemic mice based on ferroptosis
Xiaocui JIANG ; Min XIAO ; Yinjuan LYU ; Chaoyang WANG ; Zhongyi ZHU ; Heng HAO ; Jigang CAO
Journal of Beijing University of Traditional Chinese Medicine 2024;47(8):1100-1110
Objective We aimed to investigate the effect of ferroptosis on Shenling Baizhu Powder,a compound prescription of Chinese herbal medicine,in improving testicular spermatogenic function in hyperuricemic mice with spermatogenic dysfunction. Methods Sixty BALB/c mice were randomly divided into normal group,model group,Shenling Baizhu Powder high-,medium-,and low-dose groups (20.14,10.07,5.04 g/kg,by gavage),and ferrostatin-1(Fer-1) group (0.8 mg/kg,by tail vein injection),with 10 mice each group. Except for the normal group,the other groups were intraperitoneally injected with potassium oxonate suspension[600mg/(kg·d)]for 7 days to establish the hyperuricemic model,and then the corresponding intervention was given for consecutive 14 days. Content of serum uric acid (UA),testicular Fe2+,reduced glutathione (GSH),malondialdehyde (MDA) and superoxide dismutase (SOD) activity were detected by biochemical method. Epididymal and testicular indices were measured. The spermatogenic function of testes was evaluated by eosin-hematoxylin staining. Sperm quality was detected by an automatic animal sperm analyzer. Prussian blue staining was used to detect iron deposition in testicular tissue. Immunohistochemistry was used to detect the related protein expressions of acyl-coenzyme A synthetase long-chain family member 4 (ACSL4) and glutathione peroxidase 4 (GPX4) in testicular tissue. Western blotting was used to detect the related protein expression levels of nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1(HO-1)/GPX4 signaling pathway in testicular tissue. Results Compared with the normal group,the contents of serum UA,MDA,and Fe2+in the testis tissue of the model group were increased,the GSH content and SOD activity were decreased,the epididymal and testicular index,testicular spermatogenic function,sperm density and activity rate were decreased,and the iron deposition and ACSL4 protein expression in the testis tissue were increased. The expressions of kelch-like ECH-associated protein-1 (Keap1) and Nrf2 were increased. The expressions of nuclear Nrf2,HO-1,GPX4,and recombinant solute carrier family 7 member 11 (SLC7A11) protein were decreased (P<0.01). Compared with the model group,the above indexes in the Shenling Baizhu Powder groups and the Fer-1 group were improved to varying degrees (P<0.05,P<0.01). Conclusion Shenling Baizhu Powder can inhibit the ferroptosis of testicular cells through the Nrf2/HO-1/GPX4 signaling pathway,and improve the testicular spermatogenic function of mice with hyperuricemia spermatogenic dysfunction.
8.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.
9.The efficacy of the combination of radiofrequency ablation and endoscopic metal stent in the treatment of 44 patients with unresectable cholangiocarcinoma
Songlin DAI ; Mingxing XIA ; Jigang YUAN ; Xianrong HU ; Ling XING ; Jun WU ; Daojian GAO ; Xin YE ; Tiantian WANG ; Cui CHEN ; Bing HU
Chinese Journal of Digestion 2023;43(2):107-111
Objective:To explore the efficacy of the combination of radiofrequency ablation(RFA) and endoscopic metal stent in the treatment of patients with unresectable cholangiocarcinoma.Methods:From January 3, 2012 to June 30, 2019, at the Department of Endoscopic of the Third Affiliated Hospital of Naval Medical University, the clinical data of 44 patients with unresectable cholangiocarcinoma who were treated by the combination of RFA and endoscopic metal stent were retrospectively collected, which included age, gender, location of cholangiocarcinoma(hilar cholangiocarcinoma and distal cholangiocarcinoma), etc. Postoperative evaluation was conducted based on the follow-up, including clinical success rate, postoperative complication rate, time of stent patency and overall survival time (OS). The Kaplan-Meier method and log-rank test were used to analyze the difference of OS between patients with hilar cholangiocarcinoma and distal cholangiocarcinoma. Mann-Whitney U test was used for statistical analysis. Results:The age of the 44 patients with cholangiocarcinoma was (70.3±11.6) years old, with 20 males (45.5%). There were 22 patients (50.0%) with hilar cholangiocarcinoma and 22 patients (50.0%) with distal cholangiocarcinoma. The clinical success rate of 44 patients was 93.2%(41/44). A total of 5 patients(11.4%) had postoperative complications, which were all improved by appropriate treatment. The median time of follow-up of the 44 patient was 9.2 months(ranged from 3.1 to 57.6 months), the median time of stent patency was 7.0 months (ranged from 5.8 to 8.2 months). Thirty-two patients (72.7%) died during the follow-up, and the median OS was 10.9 months(ranged from 9.0 to 12.8 months). The median OS of patients with hilar cholangiocarcinoma was 7.8 months(ranged from 4.6 to 11.0 months) and that of patients with distal cholangiocarcinoma was 12.5 months(ranged from 5.7 to 19.4 months), and there was no statistically significant difference( P>0.05). Conclusion:RFA combined with endoscopic metal stent is safe and effective in the treatment of patients with unresectable cholangiocarcinoma.
10.Diagnostic value of a combined serology-based model for minimal hepatic encephalopathy in patients with compensated cirrhosis
Shanghao LIU ; Hongmei ZU ; Yan HUANG ; Xiaoqing GUO ; Huiling XIANG ; Tong DANG ; Xiaoyan LI ; Zhaolan YAN ; Yajing LI ; Fei LIU ; Jia SUN ; Ruixin SONG ; Junqing YAN ; Qing YE ; Jing WANG ; Xianmei MENG ; Haiying WANG ; Zhenyu JIANG ; Lei HUANG ; Fanping MENG ; Guo ZHANG ; Wenjuan WANG ; Shaoqi YANG ; Shengjuan HU ; Jigang RUAN ; Chuang LEI ; Qinghai WANG ; Hongling TIAN ; Qi ZHENG ; Yiling LI ; Ningning WANG ; Huipeng CUI ; Yanmeng WANG ; Zhangshu QU ; Min YUAN ; Yijun LIU ; Ying CHEN ; Yuxiang XIA ; Yayuan LIU ; Ying LIU ; Suxuan QU ; Hong TAO ; Ruichun SHI ; Xiaoting YANG ; Dan JIN ; Dan SU ; Yongfeng YANG ; Wei YE ; Na LIU ; Rongyu TANG ; Quan ZHANG ; Qin LIU ; Gaoliang ZOU ; Ziyue LI ; Caiyan ZHAO ; Qian ZHAO ; Qingge ZHANG ; Huafang GAO ; Tao MENG ; Jie LI ; Weihua WU ; Jian WANG ; Chuanlong YANG ; Hui LYU ; Chuan LIU ; Fusheng WANG ; Junliang FU ; Xiaolong QI
Chinese Journal of Laboratory Medicine 2023;46(1):52-61
Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

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