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.

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.

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.

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.

Objective To investigate the effect of oxaliplatin on the activation of hepatic stellate cells(HSCs),as well as the association of oxaliplatin with microRNA-30a-5p and autophagy.Methods HSC-LX2 cells were cultured and divided into groups according to the following three protocols:control group,PDGF treatment group,oxaliplatin treatment group,oxaliplatin+PDGF treatment group;control group,microRNA-30a-5p transfection group,PDGF treatment group,microRNA-30a-5p transfection+PDGF treatment group;control group,3-MA group,microRNA-30a-5p inhibitor group,microRNA-30a-5p inhibitor+3-MA group.Western Blot was used to measure the expression of HSC activation-related proteins(Collagen-I and alpha-smooth muscle actin[α-SMA])and HSC autophagy-related proteins(Beclin-1,P62,and LC3B);LysoTracker staining and immunofluorescence assay were used to measure the expression of LC3B autophagosomes;RT-PCR was used to measure the expression level of microRNA-30a-5p;bioinformatics techniques were used to predict the potential targets of microRNA-30a-5p in HSCs.The independent-samples t test was used for comparison of normally distributed continuous data between two groups;a one-way analysis of variance was used for comparison between multiple groups,and the least significant difference t-test was used for further comparison between two groups.Results After the cells were treated with oxaliplatin,RT-PCR results showed that the oxaliplatin treatment group had a significantly higher expression level of microRNA-30a-5p than the control group(P＜0.01);Western Blot showed that the oxaliplatin treatment group had significant reductions in the expression levels of the HSC activation-related proteins α-SMA and Collagen-Ⅰ and the autophagy-related proteins Beclin 1 and LC3BⅡ/Ⅰ(all P＜0.001);immunofluorescence assay showed that the oxaliplatin treatment group had a significantly lower number of autophagosomes than the control group(P＜0.05).After HSC-LX2 cells were transfected with microRNA-30a-5p mimic,compared with the control group,the microRNA-30a-5p mimic group had significant reductions in the expression levels of the autophagy-related proteins Beclin 1 and LC3BⅡ/Ⅰ(P＜0.05)and the HSC activation-related protein Collagen-Ⅰ(P＜0.001);after HSC-LX2 cells were transfected with microRNA-30a-5p inhibitor,Western Blot showed that compared with the control group,the microRNA-30a-5p inhibitor group had significant increases in the expression levels of the HSC activation-related proteins Collagen-Ⅰ and α-SMA and the autophagy-related protein Beclin 1(t=2.41,2.32,and 4.57,all P＜0.05).Western Blot showed that compared with the control group,the microRNA-30a-5p inhibitor group had significant increases in the expression levels of the HSC autophagy-related protein Beclin 1 and the HSC activation-related protein α-SMA(both P＜0.05),and after the treatment with the autophagy inhibitor 3-MA,there were no significant differences in the expression of these proteins between the two groups(P＞0.05).The bioinformatics analysis using TargetScan,PicTar,and miRanda databases showed that the autophagy-related protein Beclin-1 might be a potential target of miRNA-30a-5p.Conclusion Oxaliplatin can inhibit the activation of HSCs by upregulating the expression of microRNA-30a-5p,which provides new ideas and a new target for the treatment of liver fibrosis.

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.

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.

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.

Objective To investigate the changes of serum cardiac-specific troponin I (cTnI) level in patients after lung transplantation. Methods Clinical data of patients undergoing lung transplantation in our hospital from December 2016 to December 2022 were retrospectively analyzed. The relationship between postoperative serum cTnI level and clinical characteristics were explored. Results Finally 20 patients were collected, including 15 males and 5 females with an average age of (51.65±12.79) years. The serum cTnI level was significantly increased after lung transplantation. The serum cTnI reached the highest level on the first day after transplantation, and significantly decreased from the third day after transplantation. The serum cTnI levels in patients with obstructive pulmonary disease and bilateral lung transplantation were significantly higher than those in patients with restrictive pulmonary disease and unilateral lung transplantation on the day after surgery and on the first day after transplantation. Conclusion Transient myocardial injury can occur after lung transplantation, which is characterized by an abnormal increase in serum cTnI level.

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 3034 employees from four electronic manufacturing companies in Beijing City, Shanghai City, and Guangdong Province were selected using judgment sampling from September to November 2019. The Maslach Burnout Inventory-General Survey, Patient Health Questionnaire-9, and Self-Administered Sleep Questionnaire were used to collect data. The correlation between job burnout, depressive symptoms, and insomnia was evaluated by hierarchical regression. Results A total of 3034 survey questionnaires were distributed, and 2614 valid questionnaires were collected, with a response effectiveness rate of 86.2%. The reporting rates of job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry were 47.2%, 19.5%, and 29.1%, respectively. The reporting rates of insomnia of employees in the job burnout group and depressive symptoms group were higher than those in the non-job burnout group and non-depressive symptoms group (35.3% vs. 23.6%, 47.2% vs. 24.7%, P＜0.001). The results of hierarchical regression showed that job burnout explained 2.8% of the variation of insomnia (P<0.001), and the inclusion of depressive symptoms explained 1.2% of the variation of insomnia (P<0.001). Conclusion Job burnout and depressive symptoms could both affect insomnia of employees in the electronic manufacturing industry.