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 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.

Objective:To analyze the status and its influencing factors of job burnout among female workers of labor-intensive enterprises.Methods:A total of 750 female workers from 5 labor-intensive enterprises in Guangdong Province were selected as the study subjects by random cluster sampling method in August, 2019. 665 valid questionnaires were collected, and the effective recovery rate was 88.67%. The Maslach Burnout Inventory-General Survey was used to assess job burnout and its influencing factors were analyzed.Results:Among 665 female workers, 429 (64.51%) found to have different levels of burnout, among which 380 (57.14%) were mild to moderate burnout and 49 (7.37%) were severe burnout. The comprehensive scores of job burnout in different age, marital status, current post working age, working time per week, personal monthly income, working system and occupational stress groups were statistically significant ( P<0.01) . There were significant differences in the score of emotional exhaustion in different age, marital status, current working age, working time per week, personal monthly income and occupational stress groups ( P<0.05) . There were significant differences in the dimensions of depersonalization in different age, weekly work time, personal monthly income, working system and occupational stress groups ( P<0.05) . There were significant differences in the dimensions of low individual achievement in different education levels, weekly work time, working system and occupational stress groups ( P<0.05) . Conclusion:The female workers of labor-intensive enterprises are generally have mild to moderate job burnout. The main influencing factors of job burnout are weekly work time and occupational stress.

Objective:To analyze the status and its influencing factors of job burnout among female workers of labor-intensive enterprises.Methods:A total of 750 female workers from 5 labor-intensive enterprises in Guangdong Province were selected as the study subjects by random cluster sampling method in August, 2019. 665 valid questionnaires were collected, and the effective recovery rate was 88.67%. The Maslach Burnout Inventory-General Survey was used to assess job burnout and its influencing factors were analyzed.Results:Among 665 female workers, 429 (64.51%) found to have different levels of burnout, among which 380 (57.14%) were mild to moderate burnout and 49 (7.37%) were severe burnout. The comprehensive scores of job burnout in different age, marital status, current post working age, working time per week, personal monthly income, working system and occupational stress groups were statistically significant ( P<0.01) . There were significant differences in the score of emotional exhaustion in different age, marital status, current working age, working time per week, personal monthly income and occupational stress groups ( P<0.05) . There were significant differences in the dimensions of depersonalization in different age, weekly work time, personal monthly income, working system and occupational stress groups ( P<0.05) . There were significant differences in the dimensions of low individual achievement in different education levels, weekly work time, working system and occupational stress groups ( P<0.05) . Conclusion:The female workers of labor-intensive enterprises are generally have mild to moderate job burnout. The main influencing factors of job burnout are weekly work time and occupational stress.

Cancer is the most cause death of among adolescents and young adults (AYAs).Psychological distress caused by cancer affects AYAs' effective coping abilities of disease,physical symptoms and treatment.This paper mainly introduces the related concepts,screening tools and intervention progress of psychological distress of AYAs cancer patients to deepen the understanding of these among clinical professionals and provide reference for implement effective interventions to patients.

Objective To evaluate the clinical curative effect of ulinastatin combined with CRRT in the treatment of multiple organ dysfunction syndrome(MODS).Methods Sixty eight patients with MODS who were admitted to ICU from July 2013 to July 2015 were randomly divided into three groups:control group,CRRT group,combined group;Patients' APACHE Ⅱ,SOFA scores level of inflammatory markers were recorded before treatment and after treatment of 72 hours and 7 days.The mortality of the three groups in ICU were compared.Results After 72 hours and a week of treatment,the level of IL-10,IL-6,TNF-α,WBC、PCT、CRP in CRRT group and combined group were significantly better than that of control group(P＜0.05),and combined group were significantly better than that of CRRT group.Compared with the control group,the oxygen index,lactic acid,ALT significantly im proved in CRRT group and combined group were better than control group,after 72 hours and a week of treatment(P＜0.05),and the cornbined group was the most obvious.After a week of treatment,the mortality rate of CRRT group and combined group was significantly better than the control group (P＜0.05),while there was no statistical differences between CRRT group and combined group(P＞0.05).Conclusion Ulinastatin combined with CRRT is an effective method for the treatment of MODS.

Objective:To observe the changes of blood glucose,insulin and dipeptidyl peptidase-Ⅳ(DPP-Ⅳ/CD26)on type 2 diabetes mellitus in rabbits after HUCBSC( human umbilical cord blood stem cells) transplantation. Methods:18 rabbits were randomly divided into normal control group (6 rats,Group C) and diabetic model group (12 rats). After preparation model of type 2 diabetes,and 6 rats of them were treated with HUCBSC ( CD45+,CD34-) transplantation by ear vein transfusion ( Group A) ,and 6 rats were treated with PBS(Group B). All three groups of rabbits were fed for 4 weeks,and the blood glucose was monitored every day,and the level of blood insulin and DPP-IV/CD26 were measured every week. Results:The negative expression rate of CD34 in HUCBSC was 96. 5%. The positive expression rate of CD45 in HUCBSC was 100%. Compared with non transplantation group,the blood glucose and DPP-IV/CD26 in the umbilical cord blood stem cell transplantation group were gradually decreased,and insulin level was gradually increased, the difference was statistically significant (P<0. 01). Conclusion:HUCBSC were round or oval,with adherent growth,HUCBSC trans-plantation can significantly reduce blood glucose, increase insulin secretion, reduce the level of DPP-IV/CD26, the immunological phenotype of HUCBSC was CD45+,CD34-,thus providing a new theoretical basis for the clinical treatment of diabetes and its complica-tions.

Purpose To explore the findings and diagnostic values of apparent diffusion coefficient (ADC) and diffusion weighted image (DWI) of the portal venous tumor thrombus (PVTT) caused by hepatic carcinoma.Materials and Methods Thirty-one patients with hepatic carcinoma (43 lesions) with 63 PVTT in the main branches and trunks diagnosed by clinical and MRI were enrolled. All patients underwent conventional MRI (cMRI) imaging, DWI and ADC imaging, the features of cMRI, DWI and ADC were observed, the relevance of ADC values between the hepatic carcinoma lesion and PVTT were analyzed.Results Among the total 43 lesions, DWI image showed low signal, iso-signal and high signal in 1, 4 and 38 lesions, respectively; and ADC image showed low signal, iso-signal and high signal in 36, 5 and 2 lesions, respectively. In the total 63 PVTT, DWI showed low signal, iso-signal and high signal in 4, 7 and 52 lesions, respectively;while their ADC images showed low signal, iso-signal and high signal in 54, 6 and 3 branches, respectively. There was good consistency for the results of two observers on the findings of ADC of tumor lesions (Kappa=0.8334,P<0.05), and a moderate consistency on that of PVTT (Kappa=0.5215,P<0.05). The average ADC value of tumor lesion and PVTT was (1.127±0.268)×10-3 mm2/s and (1.021±0.363)×10-3 mm2/s, respectively; there was a correlation of the mean values of ADC between tumor lesion and PVTT (r=0.246,P<0.05). Conclusion The features such as low signal and low value on ADC image and high signal on DWI obtain a certain clinical application value for qualitative diagnoses of PVTT.