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.CDH17-targeting CAR-NK cells synergize with CD47 blockade for potent suppression of gastrointestinal cancers.
Liuhai ZHENG ; Youbing DING ; Xiaolong XU ; Huifang WANG ; Guangwei SHI ; Yang LI ; Yuanqiao HE ; Yue GONG ; Xiaodong ZHANG ; Jinxi WEI ; Zhiyu DONG ; Jiexuan LI ; Shanchao ZHAO ; Rui HOU ; Wei ZHANG ; Jigang WANG ; Zhijie LI
Acta Pharmaceutica Sinica B 2025;15(5):2559-2574
Gastrointestinal (GI) cancers are a leading cause of cancer morbidity and mortality worldwide. Despite advances in treatment, cancer relapse remains a significant challenge, necessitating novel therapeutic strategies. In this study, we engineered nanobody-based chimeric antigen receptor (CAR) natural killer (NK) cells targeting cadherin 17 (CDH17) for the treatment of GI tumors. In addition, to enhance the efficacy of CAR-NK cells, we also incorporated CV1, a CD47-SIRPα axis inhibitor, to evaluate the anti-tumor effect of this combination. We found that CDH17-CAR-NK cells effectively eliminated GI cancers cells in a CDH17-dependent manner. CDH17-CAR-NK cells also exhibit potent in vivo anti-tumor effects in cancer cell-derived xenograft and patient-derived xenograft mouse models. Additionally, the anti-tumor activity of CDH17-CAR-NK cells is synergistically enhanced by CD47-signal regulatory protein α (SIRPα) axis inhibitor CV1, likely through augmented macrophages activation and an increase in M1-phenotype macrophages in the tumor microenvironment. Collectively, our findings suggest that CDH17-targeting CAR-NK cells are a promising strategy for GI cancers. The combination of CDH17-CAR-NK cells with CV1 emerges as a potential combinatorial approach to overcome the limitations of CAR-NK therapy. Further investigations are warranted to speed up the clinical translation of these findings.
5.A photodynamic nanohybrid system reverses hypoxia and augment anti-primary and metastatic tumor efficacy of immunotherapy.
Haitao YUAN ; Xiaoxian WANG ; Xin SUN ; Di GU ; Jinan GUO ; Wei HUANG ; Jingbo MA ; Chunjin FU ; Da YIN ; Guohua ZENG ; Ying LONG ; Jigang WANG ; Zhijie LI
Acta Pharmaceutica Sinica B 2025;15(6):3243-3258
Photodynamic immunotherapy is a promising strategy for cancer treatment. However, the dysfunctional tumor vasculature results in tumor hypoxia and the low efficiency of drug delivery, which in turn restricts the anticancer effect of photodynamic immunotherapy. In this study, we designed photosensitive lipid nanoparticles. The synthesized PFBT@Rox Lip nanoparticles could produce type I/II reactive oxygen species (ROS) by electron or energy transfer through PFBT under light irradiation. Moreover, this nanosystem could alleviate tumor hypoxia and promote vascular normalization through Roxadustat. Upon irradiation with white light, the ROS produced by PFBT@Rox Lip nanoparticles in situ dysregulated calcium homeostasis and triggered endoplasmic reticulum stress, which further promoted the release of damage-associated molecular patterns, enhanced antigen presentation, and stimulated an effective adaptive immune response, ultimately priming the tumor microenvironment (TME) together with the hypoxia alleviation and vessel normalization by Roxadustat. Indeed, in vivo results indicated that PFBT@Rox Lip nanoparticles promoted M1 polarization of tumor-associated macrophages, recruited more natural killer cells, and augmented infiltration of T cells, thereby leading to efficient photodynamic immunotherapy and potentiating the anti-primary and metastatic tumor efficacy of PD-1 antibody. Collectively, photodynamic immunotherapy with PFBT@Rox Lip nanoparticles efficiently program TME through the induction of immunogenicity and oxygenation, and effectively suppress tumor growth through immunogenic cell death and enhanced anti-tumor immunity.
7.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.
8.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.
9.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.
10.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.

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