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.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.
5.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
6.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.
7.Clinical practice of complete preservation of female reproductive organs during radical cystectomy
Chen YE ; Yi WANG ; Yin CHEN ; Ruixiang SONG ; Shuxiong ZENG ; Chuanliang XU ; Huiqing WANG
Chinese Journal of Clinical Medicine 2024;31(2):246-250
Objective To explore the efficacy and technical points of complete preservation of female reproductive organ in radical cystectomy.Methods In 2020 and 2021,two female patients with bladder cancer undergoing radical cystectomy in The First Affiliated Hospital of Naval Medical University were selected.The clinical conditions of the patients were evaluated before surgery,and the reproductive organs were completely preserved according to the patients'wishes during the operation.The patients were regularly followed up after surgery.The efficacy and prognosis of patients were evaluated.Results The operation was successful and the two patients recovered well without surgery-related complications.The follow-up time for two patients were 22 months and 36 months.During the follow-up period,no tumor recurrence was found,and the scores of sexual function and quality of life were good.One patient was successfully pregnant at 17 months after surgery,and routine prenatal examination and non-invasive fetal DNA testing showed no abnormalities.Conclusions Under the premise of strictly grasping the surgical indications,the complete preservation of female reproductive organs in radical cystectomy can improve patients'quality of life after surgery,especially protect the reproductive function of women of childbearing age.
8.Xiaozhong-Zhitong mixture induces M2 polarization of mouse microglia by inhibiting TLR4/MyD88/NF-κB signaling pathway
Jing XIE ; Zhijun HE ; Tao LIU ; Xiaotao WEI ; Weiwei WANG ; Yuanyuan SONG ; Huiqing TIAN
Chinese Journal of Pathophysiology 2024;40(9):1589-1597
AIM:To investigate the effects of Xiaozhong-Zhitong mixture(XZZT)on M2 polarization and Toll-like receptor 4(TLR4)/myeloid differentiation factor 88(MyD88)/nuclear factor-κB(NF-κB)signaling pathway in mouse microglia(BV2 cells).METHODS:The BV2 cells were divided into 5 groups:blank group,model group[lipo-polysaccharide(LPS)+hypoxia],TAK-242(resatorvid,a TLR4 inhibitor)group(LPS+hypoxia+TAK-242),XZZT group(LPS+hypoxia+XZZT),and TAK-242+XZZT group(LPS+hypoxia+TAK-242+XZZT).Flow cytometry was used to detect early apoptosis and cell cycle of BV2 cells,and immunofluorescence staining was employed to detect the positive expres-sion of M1-type marker inducible nitric oxide synthase(iNOS)and M2-type marker CD206.Western blot was utilized to detect the expression of TLR4/MyD88/NF-κB signaling pathway-related proteins,including TLR4,MyD88,NF-κB p65,phosphorylated p65(p-p65),phosphorylated transforming growth factor-β-activated kinase 1(p-TAK1),and phosphory-lated IκB kinase α/β(p-IKKα/β).RT-qPCR was used to detect the mRNA expression of interleukin-1β(IL-1β),IL-10,tumor necrosis factor-α(TNF-α),TLR4,MyD88,and NF-κB p65.RESULTS:Compared with model group,the rate of early apoptosis was significantly decreased in XZZT group(P<0.01),the percentage of cells arrested in the S phase was significantly increased(P<0.01),and the protein levels of TLR4,MyD88,NF-κB p65,p-IKKα/β,p-p65,and p-TAK1 were significantly decreased(P<0.05 or P<0.01).Additionally,IL-1β,TNF-α,TLR4,MyD88 and NF-κB p65 mRNA expression levels were significantly decreased(P<0.05 or P<0.01),while IL-10 mRNA expression was significantly in-creased(P<0.05).Compared with TAK-242 group,the average percentage of iNOS positive area was significantly de-creased,while CD206 was significantly increased in TAK-242+XZZT group(P<0.01).CONCLUSION:The XZZT has the effect of inducing M2 polarization of mouse microglia,and the mechanism may be linked to the inhibition of TLR4/MyD88/NF-κB signaling pathway.
9.Analysis of clinical features and prognostic risk factors in elderly lung adenocarcinoma patients
Shuang ZHAO ; Han YANG ; Haijuan ZHAO ; Miao MIAO ; Qingqing WANG ; Yaru WANG ; Yuying YIN ; Huiqing YAO ; Fei LIU ; Xin WANG
Chinese Journal of Geriatrics 2024;43(11):1402-1408
Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.
10.Clinical characteristics of eosinophilic lung diseases in children
Xiaolei XU ; Ju YIN ; Jun LIU ; Xiuyun LIU ; Yinghui HU ; Huiqing SHEN ; Guoli WANG ; Jing ZHANG ; Rui ZHANG ; Yan SU ; Runhui WU ; Baoping XU
Chinese Journal of Applied Clinical Pediatrics 2024;39(6):433-439
Objective:To analyze the clinical characteristics of eosinophilic lung diseases(ELD) in children to enhance pediatricians′ understanding of ELD.Methods:In this retrospective cross-sectional study, a total of 149 children with ELD were recruited from Beijing Children′s Hospital, Capital Medical University between April 1, 2007 and March 31, 2022.Chi-square test, Fisher′s exact test, Mann-Whitney U test and Kruskal-Wallis test were used to analyze data and conclude clinical characteristics.Spearman correlation was used to analyze the correlation between eosinophils in peripheral blood and bronchoalveolar lavage fluid.Chi-square test and Kappa consistency test were used to compare the differences and consistency in diagnostic results between bronchoalveolar lavage fluid or lung biopsy and eosinophil elevation with chest imaging abnormalities. Results:(1)The isolated lung involvement was mostly caused by allergic bronchopulmonary aspergillosis(9 patients), and other system involvement by idiopathic hypereosinophilic syndrome(89 patients).(2)The main respiratory manifestations included coughing(90 cases, 60.4%) and expectoration(41 cases, 27.5%), while 23.5%(35 cases) of patients had no respiratory symptoms; 50.3% had digestive system involvement, and 40.9% had skin involvement.These were the two most commonly affected organs.(3)Spearman correlation was performed between eosinophils in peripheral blood and bronchoalveolar lavage fluid( r=0.3, P<0.05).Chi-square test was performed to compare ELD diagnosed by bronchoalveolar lavage fluid or lung biopsy with peripheral blood eosinophilia accompanied by abnormal chest imaging( P<0.05).Kappa consistency test(Kappa<0.2) showed poor consistency between the two diagnostic methods. Conclusions:ELD are present in children, and multiple etiologies may be pathogenic.Among children with ELD, the isolated lung involvement is mainly caused by allergic bronchopulmonary aspergillosis.The digestive system and skin are the most commonly affected organs, except for lungs.The correlation between eosinophil levels in peripheral blood and bronchoalveolar lavage fluid is poor.

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