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.Association between job burnout, depressive symptoms, and insomnia among employees in electronic manufacturing industry
Xiaoyi LI ; Yao GUO ; Rong ZHAO ; Xiaodong JIA ; Jin WANG ; Huiqing CHEN ; Xiaoman LIU
Journal of Environmental and Occupational Medicine 2024;41(11):1205-1212
Background The high-quality development of manufacturing in China has spurred industrial transformation and upgrading, placing higher demands on the skills of employees in the electronic manufacturing industry. This situation may induce psychological health problems such as job burnout and depressive symptoms in the employees, and also lead to insomnia, which has become a public health problem that urgently needs attention and solution. Objective To investigate the relationship between job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry. Methods A total of
5.Value of urodynamic study in guiding the treatment of lower urinary tract dysfunction in elderly patients with ischemic stroke during convalescence
Feng SI ; Jia ZUO ; Qingbin LI ; Songyang WANG ; Yakai LIU ; Maochuan FAN ; Huiqing ZHANG ; Jianguo WEN
Journal of Modern Urology 2024;29(9):776-780
Objective To investigate the value of urodynamic study(UDS)in guiding the treatment of lower urinary tract dysfunction(LUTD)in elderly patients with ischemic stroke(IS)during convalescence,in order to provide reference for clinical treatment.Methods A total of 50 LUTD patients with IS who were admitted to the First Affiliated Hospital of Xinxiang Medical University during Jan.2020 and Jan.2022 were selected.Oral tolterodine was administered to patients with detrusor overactivity(DO),clean intermittent catheterization(CIC)to those with no detrusor reflex and symptomatic increased residual urine,and oral administration of tamsulosin to those with functional obstruction of bladder outlet.The lower urinary tract symptoms(LUTS)relief rate,UDS parameters and quality of life(QoL)scores were compared before treatment and 3 months after treatment.Results The UDS examination results showed that 25 cases(50.0%)had simple DO,9 cases(18.0%)had DO with impaired detrusor muscle contraction function,5 cases(10.0%)had DO with bladder outlet functional obstruction,4 cases(8.0%)had no detrusor reflex,and 7 cases(14.0%)had simple bladder outlet functional obstruction.After 3 months of treatment,the symptoms of LUTS,including frequent urination,urgent urination,incontinence,dysuria and urinary retention were significantly improved(P<0.05).The maximum urine flow rate and urine output were significantly increased,the residual urine volume was significantly reduced,QoL scores were significantly reduced,with significant differences(P<0.001).Conclusion UDS is significant in guiding the treatment of LUTD in elderly patients with IS during convalescence.
6.Development of the Spleen Deficiency Evidence Scale for County Residentsand Test of Reliability and Validity
Meng ZHU ; Lingjuan JIA ; Fuzhen PAN ; Huiqing CHEN ; Jing XIAO ; Pengfei SHAO ; Yuxuan GONG ; Weifang ZHENG ; Yongsheng ZHANG ; Xiaqiu WU
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(7):1939-1945
Objective This study was to develop a"Spleen Deficiency Certificate Scale for County Residents"and test its reliability.It was then developed as an objective tool for Chinese medicine evidence and symptoms for the prevention and control of chronic diseases among county residents.Methods The scale was compiled based on the team's previous foundation.The reliability of the scale was evaluated using internal consistency reliability and split-half reliability,while its validity was evaluated using structural validity,content validity,calibration validity,and discriminant validity.Results The study included 213 adults from Lanxi,of whom 155 were tested for intestinal flora.Seven scale entries were identified:Fatigue,fear of cold,bland mouth,loss of appetite,diarrhea,weak bowel movements,and tooth-marked tongue.In the reliability test,Cronbach's alpha coefficient was 0.828 and McDonald's ω coefficient was 0.825.The"stomach pain"and"bloating"entries did not meet the inclusion requirements and were recommended to be deleted.The Spearman-Brown coefficient was 0.839.The exploratory factor analysis of the two common factors explained 61.6%of the cumulative variance.The calibration validity indicated that the ratio of salivary amylase activity before and after acid stimulation was 0.826±0.253 in the group with spleen deficiency.Significant differences(P<0.05)in the genera Dialister,Shigella,Leuconostoc,Photobacterium,Trabulsiella,and Parvimonas between the spleen deficiency group and the non-spleen deficiency group.Conclusion The Spleen Deficiency Scale for County Residents demonstrates good reliability and validity.
7.Five profiles and influencing factors of burnout-engagement continuum in working populations of China
Yue YU ; Jin WANG ; Qiaoyun ZHANG ; Huiqing CHEN ; Fang YUAN ; Jianlin LOU ; Rong ZHAO ; Jue LI ; Xiaodong JIA ; Jing LIU ; Shuang LI
Journal of Environmental and Occupational Medicine 2023;40(4):389-395
Background With the rise and deepening of positive psychology research, theoretical research on job burnout is also deepening worldwide, and some new theoretical models are proposed, such as the burnout-engagement continuum, but there is still a lack of empirical research and application in China. Objective To analyze the current situation and influencing factors of five profiles in the burnout-engagement continuum in working populations of China: job engagement, ineffective, overextended, disengaged, and burnout. Methods From August to October 2019 and June to September 2020, a total of 27344 subjects of key occupations in six typical industries, including teachers, firefighters, manufacturing workers, medical staff, flight attendants, and traffic police, were selected from 10 provinces (cities) in the eastern, middle, and western regions of China by multistage stratified cluster sampling method for cross-sectional investigation. Maslach Burnout Inventory-General Survey and Core Occupational Stress Scale were used to evaluate job burnout and occupational stress respectively. χ2 test was used to compare rates of count data. Binary logistic regression was used for multivariate analysis of the five profiles. Results Among the subjects, 24.4%, 61.9%, 31.9%, 12.7%, and 11.8% were the prevalence rates of job engagement, ineffective, overextended, disengaged, and burnout, respectively. Flight attendants (35.7%), firefighters (29.0%), traffic police (28.5%), and manufacturing workers (26.5%) had high prevalence rates of job engagement profile. Medical stuff (62.9%) and manufacturing workers (61.8%) had high prevalence rates of ineffective profile. Teachers (39.2%), traffic police (37.2%), and medical stuff (35.5%) had high prevalence rates of overextended profile. Traffic police (17.9%), medical staff (14.3%), and teachers (13.4%) had high prevalence rates of disengaged profile. Traffic police (16.9%), medical staff (13.4%), and teachers (13.3%) had high prevalence rates of burnout profile. The results of multivariate analysis showed that gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress entered into the regression equations of job engagement, ineffective, overextended, disengaged, and burnout. The risks of overextended (OR=1.456-2.970), disengaged (OR=1.306-4.092), and burnout (OR=1.302-4.102) among the high rating groups of the four factors of occupational stress were higher than those among the low rating groups. Flight attendants (OR=0.296) and firefighters (OR=0.329) had lower risks of burnout than teachers, and flight attendants (OR=0.392) and firefighters (OR=0.466) had lower risks of disengaged than teachers. Conclusion Among the prevalence rates of the five profiles in the burnout-engagement continuum in the 6 typical occupational populations in China, ineffective profile is the highest, followed by overextended, and burnout is the lowest. Gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress have different effects on the five profiles, but industry and occupational stress have greater impacts on job burnout.
8.Job burnout and influencing factors among Chinese manufacturing employees
Xiaoman LIU ; Jin WANG ; Qiaoyun ZHANG ; Huiqing CHEN ; Fang YUAN ; Jianlin LOU ; Rong ZHAO ; Jue LI ; Xiaodong JIA ; Jing LIU ; Shuang LI
Journal of Environmental and Occupational Medicine 2023;40(4):396-404
Background Manufacturing industry is the main body of China's national economy, and manufacturing employees provide solid guarantee and support for the vigorous development of China's manufacturing industry. The research on job burnout of manufacturing employees is helpful to prevent or alleviate the health damage and economic loss caused by job burnout. Objective To investigate the status and influencing factors of job burnout among manufacturing employees in China, and evaluate the potential mediating effect of job burnout between job stress and depressive symptoms. Methods A cross-sectional study was performed from August to October 2019 and from June to September 2020 in seven provinces of China. Study participants were recruited from 21 manufacturing companies covering 11 manufacturing subdivisions using multistage stratified cluster sampling. General Burnout Scale, Core Occupational Stress Scale, and Patient Health Questionnaire-9 were used to evaluate job burnout, job stress, and depressive symptoms. Mann-Whitney U test and Kruskal-Wallis H test were used to compare data between two independent samples and multiple independent samples of measurement data; Pearson χ2 test was used to compare the rate of enumeration data; Spearman rank correlation analysis was used to evaluate correlation between selected variables; binary logistic regression was used for multivariate analysis; stepwise regression and bias-corrected Bootstrap method were used to test potential mediating effect. Results A total of 10973 valid questionnaires were collected. The M (P25, P75) scores of exhaustions, cynicism, professional efficacy, job burnout, job stress, and depressive symptoms were 1.6 (0.4, 3.0), 1.0 (0.2, 2.2), 4.8 (3.2, 5.7), 1.6 (0.8, 2.5), 45.0 (40.0, 50.0), and 7.0 (4.0, 11.0), respectively. The positive rates of job burnout, job stress, and depressive symptoms were 53.4% (5865/10973), 28.4% (3116/10973), and 29.4% (3231/10973), respectively. The influencing factors of job burnout were gender (versus male; OR for female=0.852), age (versus≤25 years old; ORs for 26-30, 31-40, 41-50, 51-60 years old=0.824, 0.819, 0.738, 0.677), education level (versus junior high school or below; ORs for senior high school/technical secondary school, junior college/vocational college, graduate school or above=1.119, 1.345, 1.331), income per month (versus<3000 yuan; ORs for 3000-4999, 5000-6999, 7000-8999, 9000-10999, ≥11000 yuan=0.513, 0.470, 0.430, 0.375, 0.411), position (versus assembly line; OR for non-assembly line=0.814), average weekly working hours (versus ≤40 h; ORs for 61-70, >70 h=1.199, 1.519), and drinking (versus non-drinking; OR for drinking=1.261). Job burnout was positively correlated with job stress and depressive symptoms (r=0.556, 0.508, P<0.001). Job burnout played a partial mediating role between job stress and depressive symptoms, and its contribution value accounted for 63.2% of the total effect. Conclusion Manufacturing industry employees' job burnout problem is prominent in China, and there are many factors affecting job burnout. Job burnout may play a partial mediating role between job stress and depressive symptoms in the target group.
9.Comparison of urodynamic changes in elderly patients with central neurogenic bladder and with peripheral neurogenic bladder
Qingbin LI ; Jia ZUO ; Huiqing ZHANG ; Maochuan FAN ; Qifeng DOU ; Jianguo WEN
Chinese Journal of Geriatrics 2023;42(7):821-825
Objective:To examine differences in urodynamic changes between central neurogenic bladder(CNB)and peripheral neurogenic bladder(PNB)in elderly patients.Methods:A total of 57 elderly patients over 60 years old with neurogenic bladder(NB)were divided into a CNB group and a PNB group based on the types of nerve injuries.Data on urodynamic parameters recorded for the two groups were compared and analyzed.Results:The rate of detrusor overactivity(DO)in the CNB group was significantly higher than that in the PNB group [66.7%(16/24)vs.36.4%(12/33), χ2=5.105, P=0.024]. There were significant differences between the two groups in maximum bladder capacity(MCC)[(277.8±101.1)in the CNB group vs.(481.4±110.2)ml in the PNB group, t=-7.149, P=0.001]and in safe bladder capacity(SBC)[(283.2±28.8)ml in the CNB group vs.(348.6±33.9)ml in the PNB group, t=-7.636, P=0.000]. There was no significant difference between the two groups in the maximum urine flow rate, residual urine volume, urination volume, leak point pressure, or detrusor pressure at the maximum urine flow rate(all P>0.05). In the CNB group, 8 patients had normal bladder sensation, 4 had disappeared bladder sensation, 10 had decreased sensation, and 2 had increased sensation.In the PNB group, 9 patients had normal bladder sensation, 4 had disappeared bladder sensation, 14 had decreased sensation, and 2 had increased sensation.There was no statistical significance in SBC between different sensation levels within each group( P>0.05). Conclusions:There are differences in urodynamic characteristics between the elderly patients with CNB and those with PNB.Decreases in MCC, SBC and DO are more likely to occur in CNB.
10.Analysis on related influencing factors and psychological behavior of boys with overactive bladder
Ru JIA ; Ying ZHAO ; Cuiping SONG ; Qifeng DOU ; Huiqing ZHANG ; Jianguo WEN
Chinese Journal of Applied Clinical Pediatrics 2022;37(7):534-537
Objective:To investigate the prevalence of overactive bladder (OAB) in Chinese boys and risk factors, and to evaluate the psychological and behavioral status of OAB patients.Methods:Cross-sectional study.From October 2020 to July 2021, 2 800 boys aged 6-15 years from 6 primary and secondary schools in a county of Henan Province were selected by stratified random cluster sampling method.An anonymous questionnaire was used to investigate the epidemiological situation of OAB, including the basic information, lower urinary tract symptoms, Overactive Bladder Score Scale (OABSS) scores, pediatric sleep questionnaire (PSQ) and strengths and difficulties questionnaire (SDQ). In addition, the correlation between OAB and residence, body mass index (BMI), nocturnal enuresis (NE), overuse of diapers, history of urinary tract infection, abnormal stool, phimosis, redundant prepuce, and concealed penis by Chi- square test, Logistic multivariate regression analysis, and t-test. Results:A total of 2 333 valid questionnaires were collected.The overall prevalence of OAB in boys was 6.0%(141/2 333 cases). NE, history of urinary tract infection, abnormal stool, overuse of diapers, phimosis, redundant prepuce, concealed penis were risk factors for OAB in boys ( OR>1, P<0.05), while BMI was not a risk factor for OAB in boys ( OR<1, P>0.05). The emotional symptoms[ (7.64±2.03) scores vs.(6.51±2.53) scores], conduct problems [(8.14±1.62) scores vs.(7.31±1.88) scores], hyperactivity[(5.64±2.27) scores vs.(4.98±2.03) scores], peer communication problems [(7.16±1.63) scores vs.(6.59±1.60) scores], difficulty scores[(30.26±6.48) scores vs.(27.69±6.44) scores] and PSQ scores [(5.36±3.00) scores vs.(3.94±2.53) scores] in OAB group were significantly higher than those of non-OAB group ( t=-5.117, -5.005, -3.310, -4.056, -4.553, -5.006, respectively, all P<0.05). Conclusions:OAB in boys is common and affects mental health and sleep quality.Meanwhile, NE, history of urinary tract infection, abnormal stool, overuse of diapers, phimosis, redundant prepuce, or concealed penis are the risk factors for OAB in boys.

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