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.Literature study and properties discussion of Chromolaena odorata
Xing XIANG ; Huiqing ZHANG ; Qijin ZHANG ; Yinqin LIU ; Baokang HUANG
Journal of Pharmaceutical Practice and Service 2025;43(4):195-199
Objective To provide theoretical basis for the clinical application of the rational compatibility of C. odorata by studying the related domestic and international literature and explore the properties of C. odorata according to the theory of Traditional Chinese Medicine. Methods The medical literature related to C. odorata was retrieved and screened from CNKI, VIP, Wanfang Data, China Biomedical Literature Database and foreign literature databases such as PubMed, Web of Science, Scopus, Embase, and SciFinder. A total of 397 English articles and 50 Chinese articles were included in the study, which were systematically classified according to clinical application, chemical composition, pharmacological effect, toxic and side effects, and were analyzed according to the theory of Traditional Chinese Medicine. Results C. odorata features spicy, astringent tastes, a cool nature, entering heart and liver meridians, and a slightly toxic.Its functions included astringing to stop bleeding, detoxifying and promoting tissue regeneration, as well as intercepting malaria and killing parasites. It was used for conditions such as hematemesis, haemoptysis, traumatic bleeding, sores and abscesses, malaria, and leech bites. Conclusion The exploration of the properties and efficacy of C. odorata could provide reference for its clinical research and application in Traditional Chinese Medicine.
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.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.
5.Influencing factors of overactive bladder in college freshmen and the impacts on anxiety,quality of life,and social interaction
Guowei SI ; Ce GAO ; Sida SHAO ; Feng SI ; Yakai LIU ; Songyang WANG ; Maochuan FAN ; Huiqing ZHANG ; Qifeng DOU ; Jianguo WEN
Journal of Modern Urology 2025;30(6):513-519
Objective: To investigate the influencing factors of overactive bladder (OAB) in college freshmen and the impacts of OAB on their mental health, quality of life and social interaction. Methods: An epidemiological questionnaire survey was conducted in an anonymous manner on the prevalence of OAB among 5300 freshmen aged 17 to 22 years enrolled in the 2023—2024 academic year in Xinxiang Medical University and Sanquan College of Xinxiang Medical University.The questionnaire included questions on basic information, history of urinary tract infection, constipation, smoking, history of alcohol consumption, history of coffee/strong tea drinking, history of carbonated beverage drinking, redundant prepuce, phimosis, holding urine, chronic insomnia, self-rating anxiety scale (SAS), quality of life score (QoL), and social avoidance and distress scale (SADS).The influencing factors of OAB were analyzed with multivariate logistic regression analysis.The subjects were grouped according to whether they had OAB, and the differences in SAS, QoL and SADS between the OAB group and non-OAB group were compared.The impacts of OAB on the anxiety level, quality of life, and social interaction were analyzed with multiple linear regression analysis. Results: The overall prevalence rate of OAB was 4.9% (244/5018).Multivariate logistic regression analysis showed that the history of urinary tract infection (OR=0.177), constipation (OR=0.636), smoking (OR=0.582), alcohol consumption (OR=0.685), coffee/strong tea drinking (OR=0.387), carbonated beverage drinking (OR=0.631), redundant prepuce (OR=0.673), phimosis (OR=0.311), urine holding (OR=0.593), and chronic insomnia (OR=0.256) were influencing factors for the occurrence of OAB (P<0.05).The OAB group had higher SAS score [(41.18±6.54) vs. (38.61±6.36)], QoL score [(3.65±1.20) vs. (2.79±0.95)], social avoidance score [(6.25±1.86) vs. (5.86±1.51)], social distress score [(6.27±1.59) vs. (5.97±1.32)], and total SADS score [(12.51±2.35) vs. (11.84±2.01)] than the non-OAB group (P<0.05).The results of multiple linear regression analysis showed that OAB could independently affect the scores of QoL, SAS, and SADS.The OAB group had higher scores of QoL, SAS, and SADS compared with the non-OAB group (P<0.001). Conclusion: History of urinary tract infection, constipation, smoking, alcohol consumption, coffee/strong tea drinking, carbonated beverage drinking, redundant prepuce, phimosis, urine holding, and chronic insomnia are influencing factors for the occurrence of OAB in male college students.Moreover, OAB has negative impacts on their mental health, quality of life, and social interaction.
6.Safety of teriflunomide in Chinese adult patients with relapsing multiple sclerosis: A phase IV, 24-week multicenter study.
Chao QUAN ; Hongyu ZHOU ; Huan YANG ; Zheng JIAO ; Meini ZHANG ; Baorong ZHANG ; Guojun TAN ; Bitao BU ; Tao JIN ; Chunyang LI ; Qun XUE ; Huiqing DONG ; Fudong SHI ; Xinyue QIN ; Xinghu ZHANG ; Feng GAO ; Hua ZHANG ; Jiawei WANG ; Xueqiang HU ; Yueting CHEN ; Jue LIU ; Wei QIU
Chinese Medical Journal 2025;138(4):452-458
BACKGROUND:
Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS.
METHODS:
This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide.
RESULTS:
Eighty-two patients were assigned to variant ( n = 42) and wild type groups ( n = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study.
CONCLUSION:
ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients.
REGISTRATION
NCT04410965, https://clinicaltrials.gov .
Humans
;
Crotonates/adverse effects*
;
Toluidines/adverse effects*
;
Nitriles
;
Hydroxybutyrates
;
Female
;
Male
;
Adult
;
ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics*
;
Middle Aged
;
Multiple Sclerosis, Relapsing-Remitting/genetics*
;
Prospective Studies
;
Young Adult
;
Neoplasm Proteins/genetics*
;
East Asian People
7.Spermidine inactivates proteasome activity and enhances ferroptosis in prostate cancer.
Dan FENG ; Jian ZHANG ; Huanmin NIU ; Xiaoxue ZHENG ; Mengqi JIA ; Qiqi LU ; Jing WANG ; Wenxue GUO ; Qi SUN ; Huiqing YUAN ; Hongxiang LOU
Acta Pharmaceutica Sinica B 2025;15(4):2095-2113
The elevated polyamines, amine-rich molecules with diverse functions in pathophysiology processes, are implicated in contributing to tumorigenesis and progression. Whether and how they affect the efficacy of chemotherapy is incompletely understood. Our screening assays reveal that the supplement with a low dose of spermidine (Spd), one of the polyamines, enhances ferroptosis in prostate cancer cells as evidenced by increased lipid peroxidation and intracellular Fe2+ levels in vitro. Combination treatment with Spd and a low dose of ferroptosis inducer erastin synergistically augments anti-tumor efficacy with undetectable toxicity in mice. Analysis of RNA-seq data indicates that heme oxygenase 1 (HMOX1), an enzyme that catalyzes the cleavage of heme to release Fe2+, is significantly upregulated in response to Spd and erastin cotreatment. Spd mediated the hypusine modification of the eukaryotic initiation factor 5A (EIF5A) promotes the translation of the nuclear factor erythroid 2-related factor 2 (NRF2), subsequently leading to elevation of HMOX1. Moreover, Spd and erastin significantly inhibit proteasome activity which results in a decrease in proteasomal degradation of NRF2, although many proteasome-related genes are induced either by Spd or Spd plus erastin. Thus, in addition to its pro-oncogenic activity, the supplement of Spd improves antitumor activity in combination with ferroptosis inducers and offers an optional approach to cancer treatment.
8.Improvement of Depression-like Behavior of Depression Model Mice by Sinisan via Regulating GSK-3β/A20/C/EBPβ to Inhibit Activation of Microglia
Hongyun CHEN ; Dongying YANG ; Huiqing LIAO ; Yanyan ZENG ; Linke PAN ; Shasha BAI ; Di DENG ; Yafei SHI ; Rong ZHANG ; Lei YANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(12):16-23
ObjectiveTo investigate the antidepressant effect of Sinisan (SNS) by regulating glycogen aynthase kinase-3β (GSK-3β)/tumor necrosis factor alpha-induced protein 3(A20)/CCAAT enhancer binding protein β(C/EBPβ) to inhibit the activation of microglia. MethodA total of 72 male C57/6J mice were randomly divided into the normal group, model group, fluoxetine group (5.0 mg·kg-1), low-dose Sinisan group (4.9 g·kg-1), medium-dose Sinisan group (9.8 g·kg-1), and high-dose Sinisan group (19.6 g·kg-1), with 12 mice in each group. After one week of adaptive feeding, chronic unpredictable mild stress (CUMS) was performed to establish the depression model. In the fifth week, drug treatment was conducted for four weeks. In the ninth week, behavioral tests were performed, including sucrose preference test (SPT), open field test (OPT), elevated plus maze (EPM) test, and forced swimming test (FST). Western blot was used to detect the expression levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), nitric oxide synthase (iNOS), GSK-3β, A20, and C/EBPβ in the cortex. The expression of M1-polarized ionized calcium-binding adapter molecule 1 (Iba1) and cluster of differentiation 68 (CD68) in microglia was detected by immunofluorescence. ResultAfter eight weeks of CUMS, compared with the normal group, the mice in the model group had a significantly reduced sucrose preference rate (P<0.01), and the activity in the central area of the OPT was significantly reduced (P<0.01). The activity in the open arm area of the EPM test was significantly reduced (P<0.05), and the immobility time of FST was increased (P<0.01). The expression levels of inflammatory proteins IL-1β, IL-6, and iNOS were increased (P<0.01), and the fluorescence co-localization index of Iba1 and CD68 was increased (P<0.05). The protein expression levels of GSK-3β and C/EBPβ were significantly increased (P<0.05, P<0.01). After four weeks of SNS intervention, compared with the model group, the mice in the SNS group had significantly increased sucrose preference rate (P<0.01), significantly increased activities in the central area and the open arm area in the OPT and the EPM test (P<0.05), and significantly reduced immobility time in the FST (P< 0.01). The protein expression levels of IL-1β, IL-6, and iNOS were significantly decreased (P<0.05), and the fluorescence co-localization index of Iba1 and CD68 was decreased in the high-dose SNS group (P<0.05). The protein expression levels of GSK-3β and C/EBPβ in the medium-dose and high-dose SNS groups were significantly decreased (P<0.01), and that of A20 was significantly increased (P<0.01). ConclusionThe antidepressant effect of SNS is related to the regulation of GSK-3β/A20/C/EBPβ protein expression and the inhibition of M1-type activation of microglia.
9.Changes of serum cTnI level in patients after lung transplantation: A retrospective study in a single center
Wenyang JIANG ; Wei WANG ; Wanli JIANG ; Bo WANG ; Yunshu SU ; Xiangchao DING ; Xinghua ZHANG ; Ganjun KANG ; Huiqing LIN ; Qing GENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(11):1621-1624
Objective To investigate the changes of serum cardiac-specific troponin I (cTnI) level in patients after lung transplantation. Methods Clinical data of patients undergoing lung transplantation in our hospital from December 2016 to December 2022 were retrospectively analyzed. The relationship between postoperative serum cTnI level and clinical characteristics were explored. Results Finally 20 patients were collected, including 15 males and 5 females with an average age of (51.65±12.79) years. The serum cTnI level was significantly increased after lung transplantation. The serum cTnI reached the highest level on the first day after transplantation, and significantly decreased from the third day after transplantation. The serum cTnI levels in patients with obstructive pulmonary disease and bilateral lung transplantation were significantly higher than those in patients with restrictive pulmonary disease and unilateral lung transplantation on the day after surgery and on the first day after transplantation. Conclusion Transient myocardial injury can occur after lung transplantation, which is characterized by an abnormal increase in serum cTnI level.
10.Effects of voiding positions on uroflowmetry parameters and post voided residual in young men
Songyang WANG ; Feng SI ; Jianguo WEN ; Yakai LIU ; Maochuan FAN ; Huiqing ZHANG
Journal of Modern Urology 2024;29(10):855-858
[Objective] To investigate the impacts of voiding positions on urinary flow measurement (UFM) and post voided residual (PVR) in young males, to explore a better voiding position, and to provide reference for the clinical application of UFM. [Methods] A total of 43 male medical students (22-28 years old, all healthy with no lower urinary tract symptoms) from the First Affiliated Hospital of Xinxiang Medical College were enrolled.UFM was recorded in standing position, forward-bentding sitting position and sitting position, respectively.PVR was determined with B-ultrasound immediately after each voiding.Voided volume (VV), maximum urine flow rate (Qmax), average urine flow rate (Qave) and PVR were compared. [Results] In the standing, forward-bending sitting, and seating positions the VV were 211.6 (169.5, 265.9) mL, 206.8 (173.5, 262.8) mL, and 203.7 (175.9, 260.0) mL, respectively, with no significant difference (P=0.486); the Qmax were (26.00±2.33) mL/s, (26.41±2.12) mL/s, and (23.50±2.52) mL/s, respectively; the Qave were (14.03±2.21) mL/s, (14.27±2.18) mL/s, and (11.77±1.89) mL/s, respectively; the PVR were (9.97±2.26) mL, (9.43±1.97) mL and (12.10±3.28) mL, respectively.The Qmax and Qave in standing position and forward-bending sitting position were significantly higher than those in the sitting position, while the PVR was lower than that in the sitting position, with statistically significant difference (P<0.05). There were no significant differences in Qmax, Qave and PVR between the forward-bending sitting and standing positions (P>0.05). [Conclusion] Standing position and forward-bending seating position are beneficial for emptying the bladder, and these two positions are recommended for young men to urinate as the first choice.

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