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.

Reninoma is a rare renal secretory tumor，prevalent in the young population. This disease is mostly surgically resected，and the use of microwave ablation to treat reninoma in children is scarce. A case of reninoma in a child was reported in this paper. The patient presented with refractory hypertension，hypokalemia，hyperreninemia and hyperaldosteronemia. Enhanced CT and contrast-enhanced ultrasound showed mass in the lower pole of the right kidney，which was considered as reninoma and microwave ablation was performed. The renin concentration decreased to 68.42 pg/ml at 4 hours after surgery. After 1 year of postoperative follow-up，there was no recurrence of hypertension and hypokalemia，and no signs of tumor recurrence were seen on repeated ultrasound examinations.

Reninoma is a rare renal secretory tumor，prevalent in the young population. This disease is mostly surgically resected，and the use of microwave ablation to treat reninoma in children is scarce. A case of reninoma in a child was reported in this paper. The patient presented with refractory hypertension，hypokalemia，hyperreninemia and hyperaldosteronemia. Enhanced CT and contrast-enhanced ultrasound showed mass in the lower pole of the right kidney，which was considered as reninoma and microwave ablation was performed. The renin concentration decreased to 68.42 pg/ml at 4 hours after surgery. After 1 year of postoperative follow-up，there was no recurrence of hypertension and hypokalemia，and no signs of tumor recurrence were seen on repeated ultrasound examinations.

The pre-metabolic disease state is the body state of substance metabolism disorder that has not yet reached the physical and chemical indicators of the disease, and abnormal glucose metabolism is often the key link of metabolic disorder. In TCM, the healthy function of the spleen is the cornerstone of the production and distribution of fine substances. This article discussed the pre-metabolic disease state based on the theory of "overflow of Five Qi" in the Nei Jing, taking the loss of spleen preparedness as the starting point, in order to provide new ideas and directions for the prevention and treatment of clinical metabolic diseases.

ABSTARCT Purpose To investigate the clinicopathologic characteristics and genetic mutations of metastatic follicular thy-roid carcinoma(FTC).Methods A total of 22 cases of meta-static FTC were collected,including previous medical history,imaging,treatments and outcomes,and next-generation sequen-cing study and Sanger sequencing were performed in 12 cases.Results There were 16 women and 6 men.Sixteen cases were older than 50 years.Seven cases presented with metastases as the first symptom.Fourteen cases developed metastases 3 to 12 years after thyroid surgery.Sixteen cases developed bone metas-tasis,10 cases had lung metastasis,and 3 cases had brain me-tastasis.Those patients with multiple bone metastases progressed during the follow-up period.The common gene mutations in me-tastases were NRAS p.Q61R(6 cases),HRAS p.Q61R(2 ca-ses)and KRAS p.Q61R(1 case),followed by TERT promoter mutation(8 cases).Other mutated genes included KEL,BRCA1/2,ALK,ROS1,ErbB4,etc.Conclusion FTC has a high misdiagnosis rate.Those diagnosed with FTC should under-go regular systemic examinations to detect potential metastasis,especially in bone,lung,and brain.Further research on the sig-nificance of NRAS and other molecular indicators in FTC metas-tasis will help to better predict its biological behaviors.

Objective:To compare the quantitative measurements of the retinal capillary nonperfusion areas in a cohort of proliferative diabetic retinopathy (PDR) patients with fluorescein fundus angiography (FFA) and swept source optical coherence tomography angiography (SS-OCTA), and to determine the intrapersonal variability between examiners.Methods:A cross-sectional study. Eighteen eyes of eleven PDR patients diagnosed in Department of ophthalmology of Henan Provincial People's Hospital from September 2019 to January 2020 were included in this study. FFA was performed using Spectralis HRA+OCT (Germany Heidelberg Company) from and SS-OCTA was performed using VG200D (China Vision Micro Image Corporation). SS-OCTA was used to collect images of retinal layer, superficial capillary plexus (SCP) and deep capillary plexus (DCP). The same observation area was 80°×60° for SS-OCTA and 55° for FFA with both setting centered on the fovea. The forty-nine retinal capillary nonperfusion areas were observed. The area measurement was completed independently by three examiners. Paired sample t test or paired sample Wilcoxon test were used to compare the measured values of retinal capillary nonperfusion areas between the two examination methods and among the three examiners. Results:There was no significant difference in the retinal layer, SCP and DCP nonperfusion area measured by FFA and SS-OCTA among the three examiners ( P>0.05), and the consistency is good (consistency correlation coefficient> 0.9, P<0.05). The nonperfusion area measured by FFA was 0.786 mm 2. The median nonperfusion area of retinal layer and SCP measured by SS-OCTA were 0.787 mm 2 and 0.791 mm 2, respectively, and the average nonperfusion area of DCP was 0.878±0.366 mm 2. The nonperfusion area of retinal layer and SCP measured by FFA and SS-OCTA showed no statistically significant difference ( P=0.054, 0.198). The nonperfusion area of DCP measured by SS-OCTA was significantly larger than that of FFA, and the difference was statistically significant ( P<0.001). The results of repeatability analysis showed that 93.88% (46/49) of the DCP nonperfusion area data measured by SS-OCTA were greater than those measured by FFA. Conclusion:The retinal nonperfusion area of DCP in PDR patients measured by SS-OCTA is larger than that of FFA.

Objective:To investigate risk factors of nerve injury after carotid body tumor resection.Methods:From 1991 to 2016, the clinical data of patients with neurologic complications after resection of carotid body tumor was retrospectively analyzed. Logistic regression analysis was used to investigate the risk factors of nerve injury.Results:A total of 132 patients with 142 tumors underwent surgery. 45 patients (46 sides) suffered nerve injury, including 4 strokes and 44 nerve injuries. After active rehabilitation, 18 cases were left with permanent nerve injury, and the 4 patients with strokes regained self-care ability. By multivariate regression analysis, high-lying tumors ( OR=4.345, P=0.005), Shamblin Ⅲ tumor ( OR=4.382, P=0.047) increase the risks of postoperative nerve injury. Resection of high-lying tumors carried a higher risk of developing permanent nerve injury ( OR=7.290, P=0.001). Conclusions:Neurologic complication could be alleviated by rehabilitation. Intraoperative abrupt rupture of carotid artery is the leading cause of stroke. Shamblin Ⅲ and high-lying tumor are the predictors of postoperative nerve injury.

Objective:To study the clinicopathological features, immunophenotypes and MED12 gene status in benign metastasizing leiomyoma (BML).Methods:Nine cases of BML diagnosed at the Affiliated Hospital of Qingdao University from 2012 to 2018 were collected, and the radiologic and histologic features were analyzed. The protein expression of leiomyosarcoma-related driver genes, including RB1, PTEN,ATRX,p16,p53, as well as ER,PR,CD34,FH, and Ki-67 were detected using immunohistochemistry, and the mutation status of MED12 gene exon 2 was detected by Sanger sequencing.Results:All the nine patients with BML were female, and the age range was 48 to 64 years (median 55 years). All patients had history of uterine fibroids. The morphologic features of BML were similar to a benign uterine leiomyoma and did not exhibit malignant characteristics. All cases were positive for ER and PR, and negative for CD34. In addition, RB1, PTEN, ATRX, and FH were positive in all cases (wild type), while p16 showed a focally positive pattern. P53 positive index was less than 5% (wild type), and Ki-67 positive index was less than 1%. Sanger sequencing was done in six BML samples; one sample harbored a nonsense mutation c. 142_144delinsTAA (p.Glu48Ter), and another exhibited a synonymy mutation (c.192C>T, p.Phe64=)and one missense mutation c.196C>T (p.Pro66Ser).Conclusions:The present study suggests that BML is a unique leiomyoma entity that is pathologically and genetically different from leiomyosarcomas and conventional uterine leiomyomas. Evaluating the genetic phenotype of BML, especially the expression of leiomyosarcoma-related driver genes protein and MED12 gene status, may be helpful in understanding the pathogenesis of BML and in its differentiation from leiomyosarcoma.