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.Development of a droplet digital polymerase chain reaction assay for the sensitive detection of total and integrated HIV-1 DNA
Lin YUAN ; Zhiying LIU ; Xin ZHANG ; Feili WEI ; Shan GUO ; Na GUO ; Lifeng LIU ; Zhenglai MA ; Yunxia JI ; Rui WANG ; Xiaofan LU ; Zhen LI ; Wei XIA ; Hao WU ; Tong ZHANG ; Bin SU
Chinese Medical Journal 2024;137(6):729-736
Background::Total human immunodeficiency virus (HIV) DNA and integrated HIV DNA are widely used markers of HIV persistence. Droplet digital polymerase chain reaction (ddPCR) can be used for absolute quantification without needing a standard curve. Here, we developed duplex ddPCR assays to detect and quantify total HIV DNA and integrated HIV DNA.Methods::The limit of detection, dynamic ranges, sensitivity, and reproducibility were evaluated by plasmid constructs containing both the HIV long terminal repeat (LTR) and human CD3 gene (for total HIV DNA) and ACH-2 cells (for integrated HIV DNA). Forty-two cases on stable suppressive antiretroviral therapy (ART) were assayed in total HIV DNA and integrated HIV DNA. Correlation coefficient analysis was performed on the data related to DNA copies and cluster of differentiation 4 positive (CD4 +) T-cell counts, CD8 + T-cell counts and CD4/CD8 T-cell ratio, respectively. The assay linear dynamic range and lower limit of detection (LLOD) were also assessed. Results::The assay could detect the presence of HIV-1 copies 100% at concentrations of 6.3 copies/reaction, and the estimated LLOD of the ddPCR assay was 4.4 HIV DNA copies/reaction (95% confidence intervals [CI]: 3.6-6.5 copies/reaction) with linearity over a 5-log 10-unit range in total HIV DNA assay. For the integrated HIV DNA assay, the LLOD was 8.0 copies/reaction (95% CI: 5.8-16.6 copies/reaction) with linearity over a 3-log 10-unit range. Total HIV DNA in CD4 + T cells was positively associated with integrated HIV DNA ( r = 0.76, P <0.0001). Meanwhile, both total HIV DNA and integrated HIV DNA in CD4 + T cells were inversely correlated with the ratio of CD4/CD8 but positively correlated with the CD8 + T-cell counts. Conclusions::This ddPCR assay can quantify total HIV DNA and integrated HIV DNA efficiently with robustness and sensitivity. It can be readily adapted for measuring HIV DNA with non-B clades, and it could be beneficial for testing in clinical trials.
5.Investigation on bacterial endotoxin in nafamostat mesilate for injection by kinetic chromogenic assay
Rongrong WANG ; Yingya CAO ; Yunxia WANG ; Zheng MA ; Huan LIU ; Xiaowen ZHOU
Drug Standards of China 2024;25(2):195-199
Objective:To establish a bacterial endotoxin test method for nafamostat mesilate for injection.Methods:The interference test of the bacterial endotoxin test method-kinetic chromogenic assay was carried out according to the Chinese Pharmacopoeia 2020 Volume Ⅳ general chapter 1143.Results:The interference effect of naphtholimus mesylate can be effectively eliminated by treating the test solution with an alkaline regulator for a certain period of time and diluting it.Conclusion:The bacteria endotoxin test-kinetic chromogenic assay for nafa-mostat mesilate for injection is applicable.
6.Current status of central venous catheter maintenance compliance among nurses in Class II and III hospitals in Hunan Province
Lijie WANG ; Jiahui LIU ; Tao WEI ; Qin LIN ; Tongyu WANG ; Yunxia FANG ; Xuying LI
Chinese Journal of Modern Nursing 2024;30(17):2257-2262
Objective:To explore the central venous catheter maintenance compliance among nurses in Class Ⅱ and Ⅲ hospitals in Hunan Province.Methods:From January to March 2022, 297 nurses from 22 Class Ⅱ and Ⅲ hospitals in Hunan Province were selected as the research subject by convenience sampling. Nurses were surveyed using the self-made Central Venous Catheter Maintenance Compliance Questionnaire. Multiple linear regression was used to analyze the influencing factors of nurse compliance with central venous catheter maintenance, the items of the Central Venous Catheter Maintenance Compliance Questionnaire were analyzed.Results:A total of 297 questionnaires were distributed, and 268 valid questionnaires were collected, with an effective response rate of 90.24%. The hospital level, specialized training in intravenous therapy, and age were the influencing factors on the compliance of nurses with central venous catheter maintenance. Analyzing specific items, only 34.3% (92/268) of nurses correctly executed the item "alcohol cotton pads were recommended", and only 66.4% (178/268) of nurses correctly performed the item "sterile gauze dressings should be replaced at least every two days".Conclusions:There is a certain gap in the central venous catheter maintenance compliance among nurses at all levels of hospitals, and there is a need to improve compliance in disinfection of infusion joints and replacement of sterile gauze dressings. We should strengthen the training of specialist nurses, especially the training of nurses in ClassⅡ hospitals on specialized skills related to intravenous therapy.
7.Fear of recurrence during the "blanking period" after catheter ablation in patients with atrial fibrillation: a qualitative study
Xiaohong LU ; Hanxu LANG ; Jizhe WANG ; Yunxia ZHAO ; Menglu ZHAO ; Yan ZHANG ; Lili WEI
Chinese Journal of Modern Nursing 2024;30(25):3402-3408
Objective:To gain a deeper understanding of the fear of recurrence in patients with atrial fibrillation during the "blanking period" after catheter ablation.Methods:The interview outline was developed based on common-sense model of self-regulated. From July to September 2023, purposive sampling was used to select 15 patients with atrial fibrillation in the "blanking period" after catheter ablation at the Cardiovascular Outpatient of the Affiliated Hospital of Qingdao University as research subjects, and semi-structured interviews were conducted. The targeted content analysis method was used to analyze data.Results:Four themes were extracted, namely triggering factors of fear of recurrence, perception of atrial fibrillation recurrence, negative emotional distress, and insufficient ability to cope with atrial fibrillation recurrence.Conclusions:For patients with atrial fibrillation during the "blanking period" after catheter ablation, medical and nursing staff should closely monitor the patient's cognitive level and psychological state, and carry out targeted health education to meet the patient's needs for postoperative disease management, life adaptation, and other aspects, so as to reduce the fear of recurrence in atrial fibrillation patients during the "blanking period" after surgery.
8.Scoping review of outcome indicators in randomized controlled trials on exercise rehabilitation in patients with atrial fibrillation
Zhanhong YOU ; Zhijie TANG ; Jie WANG ; Yunxia LI ; Qin WANG ; Guozhen SUN
Chinese Journal of Modern Nursing 2024;30(27):3768-3776
Objective:To analyze the selection of outcome indicators for randomized controlled trials (RCT) on exercise rehabilitation in patients with atrial fibrillation (AF), promote the construction of the core outcome set and provide reference for the research design of subsequent RCT.Methods:The RCT literature related to exercise rehabilitation of patients with atrial fibrillation was systematically searched from CNKI, Wanfang, VIP, PubMed, Web of Science, Embase and Cochrane Library databases, and the search period was from establishment of the databases until July 31, 2023. After literature screening, Cochrane Risk of Bias Assessment Tool was used for quality evaluation, information extraction, classification of outcome indicators, frequency of use statistics, analysis and extraction of current shortcomings in the selection of outcome indicators, and corresponding suggestions were proposed.Results:A total of 32 articles were included, and 19 RCT were evaluated twice for outcome measures. The number of outcome measures ranged from 2 to 17, with 10 RCT setting outcome measures according to primary and secondary criteria and 6 RCT setting safety outcome measures. A total of 96 outcome indicators were extracted in this study, total 266 frequency, which could be divided into 4 categories, such as safety evaluation (18 times), clinical response (75 times), patient-reported outcomes (68 times) and laboratory and other examination (105 times) .Conclusions:Existing RCT outcome indicators of exercise rehabilitation in patients with atrial fibrillation emphasize the changes in subjective feelings and objective indicators of individuals, covering four aspects such as the physical condition, exercise ability, quality of life and psychological status of individuals. However, there is a lack of uniform standards and the safety evaluation indicators are fewer. The categories of exercise rehabilitation indicators for atrial fibrillation patients extracted in this paper can provide a reference for the design of future RCT studies and promote the generation of higher quality evidence-based medical evidence.
9.Verbal and visuospatial working memory in primary school students with different cognitive styles
Yunxia WU ; Tao ZHOU ; Hongning SHAO ; Wenhui LI ; Xiaoxi WANG
Chinese Mental Health Journal 2024;38(8):693-698
Objective:To explore the developmental characteristics of different cognitive styles on verbal and visuospatial working memory of primary school students.Methods:The Mosaic graph test was used to test the cog-nitive style of students in grades 2,4 and 6.The three-factor mixed experiment of 2(cognitive style:field independ-ent,field dependent)× 3(grade:2,4,6)× 2(task type:letter task,spatial task)was carried out.The 2-back task was used to measure the working memory characteristics of students with different cognitive styles,and the repeated measurement ANOVA was performed on the accuracy of letter and spatial tasks of 175 effective subjects.Results:The accuracy of letter task and spatial task of field independent primary school students were higher than that of field-dependent primary school students(P<0.001).The accuracy rate of letter task for field independent primary school students was higher than that of space task(P<0.001).The accuracy of two kinds of tasks of field inde-pendent students in grade 6 was better than that of field independent students in grade 2 and grade 4(P<0.05).Conclusion:There are differences in the development of verbal and visuospatial working memory of primary school students with different cognitive styles,which may also be related to task type and age.
10.Design and clinical application of external injection sterilizing device for baby warm box
Chunqing WANG ; Liming ZHONG ; Yunxia LU
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(1):89-91
Baby warm box belongs to one of the high-risk medical equipment of newborn life support class,the National Health Commission has formulated specific management guidelines for the daily use disinfection of baby warm box.At present,the baby warm box is generally sterilized by manual wiping of chemical disinfection liquid,which has shortcomings such as high labor intensity,low work efficiency,blind disinfection area,and chemical pollution caused by secondary residue of disinfection liquid.Ozone,as a broad spectrum high-efficiency disinfectant,has many significant advantages.Ozone disinfection has been widely used in various fields,but its inherent instability hinders transport and storage,necessitating professional devices for on-site preparation and other characteristics.These characteristics limit the use of ozone disinfection for baby warm box promotion and application.Nevertheless,some scholars have proposed the application report of bed unit ozone sterilizers and disinfection devices in the infant incubator.The study found that these two methods in practical application not only have difficult operation and control of disinfection quality but also change the original safety structure inside the infant warm box.In response,Guidong People's Hospital of Guangxi Zhuang Autonomous Region engineers designed an external injection infant incubator disinfection device and obtained the National Utility Model Patent of China(ZL 2019 2 0520907.9).The disinfection device is mainly composed of a timer,electronic ozone generator,gas supply pipeline and transfer interface,by setting the electronic ozone generator in the safe position at the bottom of the baby warm box,and then through the pipeline to the ozone generator generated by the ozone gas into the box interior to complete the disinfection process.The utilization of ozone effectively ensures the safe disinfection of the infant warm box,thereby holding significant clinical value.

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