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.Differential analysis of biogas production in simulated experiments of aquitard layers in coal seam fire zones.
Daping XIA ; Yunxia NIU ; Jijun TIAN ; Haichao WANG ; Donglei JIA ; Dan HUANG ; Zhenzhi WANG ; Weizhong ZHAO
Chinese Journal of Biotechnology 2025;41(8):3064-3080
To explore the differences in biological gas production in the waterlogged zone of a coal seam fire-affected area, in this study the in-situ gas production experiment was conducted with the mine water from aquitard layers in coal seam fire zones in Xinjiang. The results showed that the biogas production first increased and then decreased with the increase in distance, and the highest gas production reached 216.55 mL. The changes in key metabolic pathways during the anaerobic fermentation of coal were analyzed, which showed that as the distance from the aquitard layer in the coal seam fire zone increased, the methanogenesis pathways gradually shifted from acetic acid decarboxylation and carbon dioxide reduction to acetic acid decarboxylation and methylamine methanogenesis. The significant variability in the in-situ mine water reservoir conditions contributed to the differences. In addition, the reservoir pressure and temperature increased as the distance from the fire zone became longer, and the salinity of the farthest mine water in the reverse fault was the highest due to the lack of groundwater supply. Pearson correlation analysis revealed significant correlations of microbial communities with key functional genes and the types and concentrations of ions. The ions significantly influencing microbial enzymatic metabolic activities included Al3+, Fe2+, Co2+, Ni2+, Cu2+, Zn2+, Mg2+, PO43-, and Mo6+. The differences in metabolic pathways were attributed to the integrated effects of a co-occurring environment with multiple ions. The gas production simulation experiments and metagenomic analyses provide data support for the practical application of in-situ biogas experiments, laying a foundation for engineering applications.
Biofuels
;
Coal
;
Methane/biosynthesis*
;
Fires
;
Groundwater
;
Coal Mining
;
Fermentation
;
China
;
Anaerobiosis
5.Mechanism of warmed malate ringer's solution in fluid resuscitation in improving the lethal triad of severe trauma
Yinyu WU ; Han SHE ; Yunxia DU ; Yuxi ZHANG ; Xiaowei ZHOU ; Qinghui LI ; Tao LI ; Yi HU ; Qingxiang MAO ; Yaling WANG
Journal of Army Medical University 2025;47(3):216-225
Objective To explore the role and mechanism of warm malate ringer's solution(MR)in resuscitation of the lethal triad caused by severe trauma.Methods A rat model of severe trauma was established in SPF-grade SD rats(half male and half female,weighing 200~220 g)using combined multiple injuries and hemorrhagic shock,and the rats were randomly divided into 8 groups(n=8):Sham group,only arterial and venous catheterization;Trauma(Tra)groups with different time points(10,30,60,90,120,180 min)and a Trauma group that were observed without any treatment for 180 min after model establishment.The changes of activated clotting time(ACT),reaction time(R),maximum amplitude(MA),and rate of blood clot formation(Angle)at different time points were detected by using thromboelastography,and tail bleeding,core body temperature and arterial blood gas parameters,were also observed and detected.The plasma von Willebrand Factor(vWF)level,mitochondrial respiratory control ratio in pulmonary venous endothelium,and expression levels of vascular endothelial cadherin(VE-Cadherin),peroxisome proliferator activating receptor gamma coactivator 1α(PGC1α),dynamin-related protein 1(Drp1),p-Drp1,and mitofusin 2(Mfn2)were detected to evaluate the vascular endothelial injury and mitochondrial dysfunction.Another group of SD rats were randomly divided into severe trauma group(no treatment for 180 min after injury),and MR solution at room temperature and at 37 ℃ groups.MR solution at room temperature or at 37 ℃ was given to the rats using a medical blood transfusion apparatus at 60 min post-trauma.Above indicators were observed and detected to investigate the resuscitation effect of the MR solution.Results Compared with the Sham group,the severely traumatic rats at 180 min after injury had significantly prolonged ACT and R values(P<0.05),shortened MA and decreased Angle values(P<0.05),extended tail bleeding time(P<0.05),lower partial pressure of carbon dioxide(PCO2)and HCO3-and base excess(BE)levels(P<0.05),and continuously increasing K+(P<0.05)and decreasing Na+(P<0.05)and Ca2+levels(P<0.05).Additionally,plasma vWF level(P<0.05)and protein levels of VE-cadherin,PGC1α and Mfn2 in pulmonary vein endothelium were significantly reduced(P<0.05),the expression of p-Drp1 was enhanced and the mitochondrial respiration control rate was declined in the rats at 180 min after injury(P<0.05).MR solution resuscitation shortened tail bleeding time(P<0.05),increased core body temperature(P<0.05),elevated plasma vWF level(P<0.05),increased protein levels of VE-cadherin,PGC1α and Mfn2(P<0.05),and decreased that of p-Drp1 protein expression(P<0.05)when compared with the rats at 180 min after severe traumatic injury.The above effects were more significant in the rats infused with the solution at 37 ℃ than those at room temperature.Conclusion Warm MR solution significantly improves the lethal triad in rats after severe trauma,which may be associated with its improving mitochondrial function and attenuating vascular endothelial damage.
6.Protective effect of remimazolam on intestinal barrier function in septic mice
Weifei WANG ; Haoyue DENG ; Yunxia DU ; Zhongyuan DU ; Liangming LIU ; Tao LI ; Qingxiang MAO
Journal of Army Medical University 2025;47(15):1806-1814
Objective To investigate the protective effects of remimazolam(Remi),a novel benzodiazepine sedative,on intestinal barrier function in septic mice.Methods A mouse model of sepsis was established using cecal ligation and puncture(CLP).A total of 96 SPF-grade adult male C57BL/6 mice were randomized into sham operation(Sham),sepsis(Sepsis),and sepsis with Remi intervention(Sepsis+Remi)groups.Survival rate and survival time were recorded within 72 h after modeling.Intestinal pathological alterations,barrier functional indicators,ZO-1 expression,and macrophage polarization status were observed and detected to evaluate the effects of Remi.Lipopolysaccharide(LPS)was used to treat RAW264.7 cells for 24 h to simulate in vitro sepsis model.The cells were divided into control(Control),LPS,and LPS+Remi groups.Immunofluorescence staining was performed to assess macrophage phenotype,mitochondrial morphology,and mitochondrial reactive oxygen species(MtROS),and Western blotting was applied to detect the protein expression of iNOS and CD206.Results Compared with the sepsis group,Remi intervention significantly improved the survival rate of septic mice from 12.50%to 68.75%and markedly prolonged survival duration(P<0.05).Histopathological analysis demonstrated partial restoration of intestinal villus architecture,accompanied with attenuated interstitial edema and reduced inflammatory cell infiltration after Remi intervention.Furthermore,the intervention group demonstrated significant improvement in functional indicators.Both in vivo and in vitro experiments demonstrated elevated iNOS and decreased CD206 expression in the septic mice and LPS-stimulated macrophages(P<0.05),which were partially reversed after Remi intervention.Furthermore,LPS-stimulated macrophages exhibited fragmented mitochondria and elevated MtROS level,whereas Remi intervention ameliorated these conditions(P<0.05).Conclusion Remi protects intestinal barrier function in septic mice by mitigating mitochondrial dynamics imbalance-induced oxidative damage and ameliorating inflammatory macrophage activation.
7.Clinical characteristics of neonatal necrotizing enterocolitis and analysis of risk factors for early-onset children
Jing WANG ; Mingqi SHEN ; Rongxiu ZHENG ; Yue XIN ; Yunxia MA ; Ying ZHANG ; Dejing WU ; Dan LIU
International Journal of Pediatrics 2025;52(9):629-633
Objective:To explore the clinical characteristics of neonatal necrotizing enterocolitis(NEC)and analyze the risk factors for early-onset NEC.Methods:A total of 220 children with NEC admitted to the Department of Pediatrics,Tianjin Medical University General Hospital from January 1st,2018 to February 29th,2024 were retrospectively selected as the research objects. According to the time of onset,the early-onset group( n=120)and the late-onset group( n=100)were established,and the clinical characteristics of the two groups were compared. Another 150 cases of normal healthy newborns born in this hospital in the same period were selected as the control group,and the clinical data of the control group were collected. The clinical characteristics of the early-onset group and the control group were compared,and the risk factors of early-onset NEC were analyzed by multivariate Logistic regression. Results:Compared with the late-onset group,the early-onset group had fever[50.0%(60/120)vs. 40%(40/100), χ2=7.333, P=0.007],apnea[39.17%(47/120)vs. 28%(28/100), χ2=7.568, P=0.006],no rise in body temperature[56.67%(68/120)vs. 39%(39/100), χ2=6.815, P=0.009],abdominal distension[25%(30/120)vs. 40%(40/100), χ2=13.200, P<0.001],vomiting[30.83%(37/120)vs. 45%(45/100), χ2=12.797, P<0.001]was significantly different(all P<0.05);Multivariate Logistic regression analysis:weight<1 500 g( OR=5.871,95% CI:3.153~9.673, P<0.001),gestational age<30 weeks( OR=4.256,95% CI:2.641~7.896, P=0.007),hemodynamically significant patent ductus arteriosus(hs-PDA)( OR=3.113,95% CI:1.865~5.133, P=0.033),severe anemia( OR=3.057,95% CI:2.165~4.802, P=0.001),feeding intolerance( OR=4.215,95% CI:1.579~10.802, P=0.005),amniotic fluid pollution( OR=2.452,95% CI:1.579~3.111, P<0.001)were the independent risk factors for early-onset NEC(all P<0.05). Conclusion:Weight<1 500 g,gestational age<30 weeks,hs-PDA,severe anemia,feeding intolerance,and amniotic fluid contamination are independent risk factors for early-onset NEC. In clinical practice,more attention should be paid to these factors for disease prevention,early identification,and timely intervention in newborns to reduce the occurrence of NEC.
8.Study on Modification of Dosage Forms of Guoganglong Tablets and Comparison between New and Old Dosage Forms
Guantian DENG ; Yuxiang SUN ; Yunxia TENG ; Zhizhong LIAO ; Shuling WANG
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(1):204-213
Objective To modify the dosage form of Guoganglong Sugar-Coated Tablets,and to investigate the chemical equivalence and pharmacodynamic equivalence between the new and old dosage forms of Guoganglong Tablets.Methods The preparation technology was screened by single-factor exploration with the indexes of hardness and dispersion uniformity,the quality standard was established by thin layer chromatography identification,high performance liquid chromatography(HPLC)content determination and charactertistics chromatograms,the constituents absorbed into blood were analyzed by ultra-high performance liquid chromatography quadrupole time of flight mass spectrometry(UHPLC-Q-TOF-MS),and the pharmacodynamics was evaluated by anti-inflammatory experiment and analgesic experiment in mice model with inflammatory pain.Results The molding process of Guoganglong Dispersible Tablets was determined.A thin layer chromatographic identification method was established.A method for detecting the content of Guoganglong Tablets and the charactertistic chromatograms was established by HPLC,and a total of 15 common peaks were identified,with the similarity of the new-old dosage forms being greater than 0.9.A total of 12 constituents absorbed into blood were identified.Guoganglong Tablets could alleviate swelling degree of toes in mice with inflammatory pain,reduce the levels of interleukin 6(IL-6)in serum,improve spleen index,and increase the thermal pain threshold and acetic acid twisting frequency in mice.Conclusion The prescription process of Guoganglong Dispersible Tablets is stable,the quality standard is feasible,the chemical composition and pharmacological actions between the new and old dosage forms are basically the same,and in terms of certain indexes,Dispersible Tablets of Guoganglongare superior to Sugar-Coated Tablets.
9.Application value of serum bromodomain-containing protein 4 combined with gastrin-17 in diagnosis of Helicobacter pylori-positive early gastric cancer
Ting XIE ; Chengguo REN ; Yunxia LIN ; Shibin WANG ; Long LI ; Jianming SU ; Wen CAO
Journal of Clinical Medicine in Practice 2025;29(13):50-54
Objective To investigate the diagnostic value of serum bromodomain-containing pro-tein 4(BRD4)combined with gastrin-17(G-17)in Helicobacter pylori(Hp)-positive early gastric cancer.Methods A total of 88 patients with Hp-positive early gastric cancer admitted to our hospital from September 2021 to September 2023 were selected as early gastric cancer group.Meanwhile,92 patients with Hp-positive precancerous lesions and 80 patients with Hp-positive gastritis admitted dur-ing the same period were selected as precancerous lesion group and gastritis group,respectively.En-zyme-linked immunosorbent assay(ELISA)was used to detect the serum levels of BRD4 and G-17.Multivariate logistic regression analysis was performed to screen the influencing factors of Hp-positive early gastric cancer.Receiver operating characteristic(ROC)curve analysis was used to evaluate the diagnostic value of serum BRD4 and G-17 in Hp-positive early gastric cancer.Results Compared with the gastritis group,the levels of BRD4 and G-17 in the precancerous lesion group and early gastric cancer group were significantly increased(P<0.05).Furthermore,compared with the precancerous le-sion group,the levels of BRD4 and G-17 in the early gastric cancer group were also significantly elevated(P<0.05).The proportion of patients with a family history of gastric cancer,those who preferred hot food,cold food,or high-salt food,as well as the levels of PG Ⅱ,BRD4,and G-17 were signifi-cantly higher in the early gastric cancer group than in the non-gastric cancer group,while the level of pepsinogen(PG)Ⅰ was significantly lower(P<0.05).Logistic regression analysis revealed that preference for hot food,high-salt food,PG Ⅱ,BRD4,G-17,and PG Ⅰ were all influencing factors for Hp-positive early gastric cancer(P<0.05).The area under the curve(AUC)values for serum BRD4,G-17,and their combination in diagnosing Hp-positive early gastric cancer were 0.793,0.830,and 0.912,respectively.The diagnostic efficacy of the combined detection was superior to that of single detection(P<0.05).Conclusion The serum levels of BRD4 and G-17 are elevated in patients with Hp-positive early gastric cancer,and both exhibit certain diagnostic value for Hp-positive early gastric cancer,suggesting their potential as serum biomarkers for the diagnosis of Hp-positive early gastric cancer.
10.Operation management of teaching clinic for standardized training of pediatric residents
Yingshuo WANG ; Zhenmei WEI ; Yuan JIANG ; Jiayao SONG ; Yunxia HONG ; Chao SONG
Chinese Journal of Medical Education Research 2024;23(3):309-313
A teaching clinic is an outpatient clinic specialized for teaching, where trainees are responsible for medical activities such as medical history taking, physical examination, and diagnosis and treatment, under the assistance and guidance of teachers. Only a few hospitals in China have built up teaching clinics for standardized training of pediatric residents. This paper summarizes the experience in the operation management of the standardized residency training teaching clinic in Children's Hospital, Zhejiang University School of Medicine. The teaching clinic takes teaching as its core task, adheres to humanistic care, and follows the principle of hierarchical progression. Its operation involves organizational approval, preliminary arrangements, outpatient appointments, the implementation of teaching activities, and other processes, which are carried out under organizational management and quality management. We have explored a preliminary strategy for evaluating the teaching effects of teaching clinics, and proposed some suggestions for the future development of pediatric residency training teaching clinics such as increasing objective evaluation methods and increasing pediatric subspecialty teaching clinics.

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