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.Research progress of genes in primary open angle glaucoma
Hao HU ; Dadong JIA ; Yiyao WANG ; Liang LIANG
International Eye Science 2025;25(11):1764-1770
		                        		
		                        			
		                        			 Primary open angle glaucoma(POAG)is the most common type of glaucoma, with common causes including variations in trabecular tissue and increased venous pressure. POAG has a certain genetic tendency, and POAG with an autosomal dominant inheritance pattern is mainly caused by single gene mutations. Studies have found that the pathogenesis of POAG may be related to key pathogenic genes(MYOC, OPTN, WDR 36), as well as mitochondrial dysfunction, oxidative stress, and epigenetic regulation. At present, the clinical treatment options for POAG mainly include enhancing trabecular meshwork function, inhibiting aqueous humor production, neuroprotection and regeneration of retinal ganglion cells, and applying gene editing technology, all of which have achieved certain results. However, there is no unified research on the relationship between the occurrence of POAG and genes, as well as treatment plans. The article explores new targets and treatment strategies for POAG gene therapy by analyzing the role of genes in the pathogenesis of POAG, aiming to provide reference for clinical treatment of this disease. 
		                        		
		                        		
		                        		
		                        	
5.Associations of genetic variants in GLP-1R with blood pressure responses to dietary sodium and potassium interventions
Mingke CHANG ; Chao CHU ; Mingfei DU ; Hao JIA ; Yue SUN ; Guilin HU ; Xi ZHANG ; Dan WANG ; Wenjing LUO ; Yu YAN ; Ziyue MAN ; Yang WANG ; Jianjun MU
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(2):212-218
		                        		
		                        			
		                        			【Objective】 To investigate the association between genetic variations in the glucagon-like peptide-1 receptor (GLP-1R) gene and BP responses to sodium and potassium intake. 【Methods】 A total of 514 subjects from 124 families were recruited in Meixian County, Shaanxi Province, in 2004, resulting in the establishment of a "salt-sensitive hypertension study cohort" . The subjects followed a dietary regimen which involved a normal diet for 3 days, a low-salt diet for 7 days, a high-salt diet for 7 days, and a high-salt potassium-supplemented diet for 7 days. BP measurement was conducted at different intervention periods, and peripheral blood samples were collected. Additionally, eight single nucleotide polymorphisms (SNPs) of the GLP-1R gene were genotyped using the MassARRAY detection platform. 【Results】 The GLP-1R gene SNP rs9462472 exhibited a significant association with systolic BP, diastolic BP, and mean arterial pressure response to high-salt intervention. Similarly, SNP rs2268637 showed a significant association with systolic BP response to high-salt intervention. Furthermore, SNP rs2268637 was significantly associated with systolic BP and mean arterial pressure responses to high-salt plus potassium supplementation intervention. 【Conclusion】 Our findings indicate a significant association of genetic variations in the GLP-1R gene with BP responses to sodium and potassium intake. This suggests that the GLP-1R gene plays a role in the regulation of BP salt sensitivity and potassium sensitivity.
		                        		
		                        		
		                        		
		                        	
6.Multilayered Regulation of The Eukaryotic DNA Replication
Zheng-Rong ZHANG-DING ; Yang LIU ; Xu-Hao LIU ; Jia-Zhi HU
Progress in Biochemistry and Biophysics 2024;51(10):2717-2729
		                        		
		                        			
		                        			DNA replication is a fundamental DNA metabolism process in living organisms. In human cells, thousands of DNA replication origins are activated simultaneously within the chromatin environment to initiate the replication process and eventually complete genome duplication. This process is regulated by the chromatin environment and coordinated with other chromatin metabolism events, ensuring accurate inheritance of genomic and epigenetic information. With the rapid development of research techniques and the massive accumulation of research data, the systematic understanding of DNA replication in eukaryotic cells, especially in mammals, within complex chromatin environments is a future research trend. Here, we review the multilayered regulatory modes of DNA replication from initiation to termination in the chromatin environment, offering insights for future research. 
		                        		
		                        		
		                        		
		                        	
7.An experimental study of a novel external fixator based on universal joints for the rapid initial stabilization of mandibular comminuted fractures
Zhi-Qiang HU ; Tai-Qiang DAI ; Lu ZHAO ; Xun LI ; Xu GONG ; Hao JIA ; Hai-Tao KONG ; Bo-Lei CAI ; Shi-Ping CHANG ; Lei TIAN
Chinese Journal of Traumatology 2024;27(5):254-262
		                        		
		                        			
		                        			Purpose::Shaping and assembling contemporary external fixators rapidly for the severe mandibular fractures remains a challenge, especially in emergency circumstance. We designed a novel external fixator that incorporates universal joints to provide the stabilization for mandibular comminuted fractures. This study aims to confirm the efficacy of this novel external fixator through biomechanical tests in vitro and animal experiments. Methods::In vitro biomechanical tests were conducted using 6 fresh canine with mandibular defect to simulate critical comminuted fractures. Three mandibles were stabilized by the novel external fixator and other mandibles were fixed by 2.5 mm reconstruction plates. All fixed mandibles were subjected to loads of 350 N on the anterior regions of teeth and 550 N on the first molar of the unaffected side. The stability was evaluated based on the maximum displacement and the slope of the load-displacement curve. In animal experiments, 9 beagles with comminuted mandibular fractures were divided into 3 groups, which were treated with the novel external fixation, reconstruction plate, and dental arch bar, respectively. The general observation, the changes in animals’ weight, and the surgical duration were recorded and compared among 3 groups. The CT scans were performed at various intervals of 0 day (immediately after the surgery), 3 days, 7 days, 14 days, 21 days, and 28 days to analyze the displacement of feature points on the canine mandible and situation of fracture healing at 28 days. The statistical significance was assessed by the two-way analysis of variance test followed by the Bonferroni test, enabling multiple comparisons for all tests using GraphPad Prism10.1.0 (GraphPad Inc, USA). Results::The outcomes of the biomechanical tests indicated that no statistically significant differences were found in terms of the maximum displacement ( p = 0.496, 0.079) and the slope of load displacement curves ( p = 0.374, 0.349) under 2 load modes between the external and internal fixation groups. The animal experiment data showed that there were minor displacements of feature points between the external and internal fixation groups without statistic difference, while the arch bar group demonstrated inferior stability. The CT analysis revealed that the best fracture healing happened in the internal fixation group, followed by the external fixation and arch baring at 28 days after fixation. The external fixation group had the shortest fixation duration (25.67 ± 3.79) min compared to internal fixation ((70.67 ± 4.51) min, p < 0.001) and arch baring ((42.00 ± 3.00) min, p = 0.046). Conclusion::The conclusion of this study highlighted the efficacy and reliability of this novel external fixator in managing mandibular fractures rapidly, offering a viable option for the initial stabilization of comminuted mandibular fractures in the setting of emergency rescue.
		                        		
		                        		
		                        		
		                        	
8.Bushen Jianpi Chinese Herbal Compound Activates AMPK Signaling Pathway to Inhibit Overweight in Estrogen-Deficient Mice
Shu-Jia XIE ; Tao-Rui WU ; Guo-Yi LI ; Yuan-Hao HU ; Xiao-Ling SHEN ; Ying-Jie HU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2769-2777
		                        		
		                        			
		                        			Objective To observe the intervention effect and mechanism of Chinese herbal compound(Zhenyuan Granules)on overweight in mice caused by estrogen deficiency.Methods An ovariectomized female mouse model was established to observe the effects of intragastric 14 week administration of Zhenyuan Granules on body mass and fat accumulation in mice.The 3T3-L1 mouse preadipocyte model was constructed to observe the effect of Zhenyuan Granules intervention on adipogenic differentiation.The expressions of key genes/proteins regulating adipocyte formation and fat synthesis in mouse adipose tissue and 3T3-L1 cells was detected to explore the mechanism of lipid-lowering effect of Zhenyuan Granules in vivo and in vitro.Results Zhenyuan Granules significantly decreased the body mass gain(P<0.01),perigonadal and inguinal fat indexes(P<0.05),significantly inhibited the differentiation of 3T3-L1 preadipocytes into mature adipocytes(P<0.01),significantly downregulated the expression levels of transcription factors peroxisome proliferators activated receptor γ(PPARγ)and sterol-regulatory element binding protein 1c(SREBP-1c)and enzymes acetyl-CoA carboxylase 1(ACC1)and fatty acid synthase(FAS)in adipose tissue and 3T3-L1 preadipocytes(P<0.05),significantly enhanced the phosphorylation of AMP-activated protein kinase(AMPK)and ACC1(P<0.05).Conclusion Zhenyuan Granules can inhibit the formation of adipocytes and improve the overweight of female mice caused by estrogen deficiency.The mechanism is related to the activation of AMPK signaling pathway.It is suggested that Bushen Jianpi Chinese herbal compound Zhenyuan Granules is helpful for body mass control in postmenopausal women.
		                        		
		                        		
		                        		
		                        	
9.The prognostic significance and biological effects of CYP27A1 in hepatocellular carcinoma
Xin-Tong ZHANG ; Hao WU ; Yan-Fen HU ; Wen-Tao ZHANG ; Jing-Jia CHANG ; Jian-Jun ZHU ; Li LI ; Ming LIU
Medical Journal of Chinese People's Liberation Army 2024;49(4):387-395
		                        		
		                        			
		                        			Objective To analyze the prognostic significance and biological effects of cytochrome P450 family 27 subfamily A member 1(CYP27A1)in hepatocellular carcinoma(HCC),and to preliminarily explore its molecular mechanism of regulating the malignant growth of HCC.Methods The Cance Genome Atlas(TCGA)database was used to analyze the expression level of CYP27A1 and its prognostic effect on HCC patients.The samples were divided into CYP27A1 high-expression group(n=170)and low-expression group(n=170)based on the median expression of CYP27A1 in HCC,gene set enrichment analysis(GSEA)was performed to investigate gene sets associated with CYP27A1 expression.The subcellular localization of CYP27A1 was detected by immunofluorescence staining and search database.The over-expression plasmid of CYP27A1 was constructed and then transfected into the HCC cells MHCC-97H and HCCLM3 cell lines,including two groups,namely control group(transfecting empty vector)and CYP27A1 over-expression group(transfecting CYP27A1 over-expressed vector).CCK-8,flow cytometer,and reactive oxygen species(ROS)fluorescence probe were applied to detect the effects of CYP27A1 over-expression on cell viability,apoptosis and ROS levels in HCC cells.Combining bioinformatics to analyze the correlation between CYP27A1 and the expression of ROS generation-related genes and HCC proliferation-related genes.Results Compared with the normal liver tissue,the expression level of CYP27A1 mRNA in HCC tissue was significantly reduced(P<0.01).The expression of CYP27A1 was significantly correlated with sex,T stage,tumor grade and tumor stage of HCC patients(P<0.05).Compared to the CYP27A1 high-expression group,patients in CYP27A1 low-expression group had lower survival rate(P<0.01).GSEA enrichment analysis revealed that the levels of HCC stem cell-related gene clusters and HCC proliferation gene clusters were remarkably increased in CYP27A1 low-expression group.The immunofluorescence showed that CYP27A1 was mainly located in nucleus in MHCC-97H and HCCLM3,whereas CYP27A1 was mainly located in mitochondria in HepG2.CYP27A1 over-expression attenuated cell viability(P<0.01),and reduced the ROS levels(P<0.05),whereas it had no effects on the apoptosis in HCC cells(P>0.05).The expression of CYP27A1 and the expression of inhibiting ROS generation-related genes were positively correlated(P<0.05),while the expression of inhibiting ROS generation-related genes and the expression of HCC proliferation-related genes were negatively correlated(P<0.05).Conclusions The expression of CYP27A1 was decreased in HCC,and down-regulated CYP27A1 promoted cell growth by enhancing ROS generation,although the precise mechanism requires future educidation.
		                        		
		                        		
		                        		
		                        	
10.Research progress on acquired RET fusion induces secondary resistance to EGFR therapy in advanced EGFR-mutated non-small cell lung cancer
An WANG ; Tao LI ; Di LU ; Yun-Ye MAO ; Jia-Pei QIN ; Xin ZHOU ; Hao FAN ; Yi HU
Medical Journal of Chinese People's Liberation Army 2024;49(9):1080-1087
		                        		
		                        			
		                        			With the in-depth study of molecular biology,non-small cell lung cancer(NSCLC)has opened the era of precision medicine based on mutation-based molecular targeting therapy.Epidermal growth factor receptor(EGFR)driver mutations are closely related to the progression of NSCLC,and EGFR-tyrosine kinase inhibitors(TKIs)developed based on this have achieved significant therapeutic effects,but acquired drug resistance is still one of the major factors limiting their long-term use.As resistance mechanisms are further investigated,in addition to secondary EGFR mutation,MET amplification,HER2 amplification,histologic transformation,etc.,receptor tyrosine kinase(RTK)fusion mutation have been shown to be a targetable mechanism of acquired resistance.Among the acquired RTK fusion mutations,rearranged during transfection(RET)fusion mutations are the accessible targets of our concern.As the RET molecule continues to be explored,drugs targeting RET fusions have been approved and marketed.There are different clinical strategies to deal with acquired RET fusion mutation mediating resistance to EGFR-TKIs treatment.In this review,the structure and function of RET,its relationship with EGFR-TKIs resistance,and treatment strategies are reviewed to further improve patient survival outcomes.
		                        		
		                        		
		                        		
		                        	
            
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