Objective To explore the effect of evening primrose oil(EPO)on aortic endothelial damage in rats with polycystic ovary syndrome(PCOS),using network pharmacology and in vivo experiments.Methods The potential targets of EPO for improving aortic endothelial injury in PCOS rats were predicted by network pharmacology,and the selected core targets and renin-angiotensin signaling(RAS)pathway were verified by experiments.Fifty-eight female SD rats were divided randomly into a blank group(n=10)and a modeling group(n=48).Rats in the blank group were fed a normal diet and rats in the modeling group received a high-fat diet for 8 weeks.The PCOS model was prepared at week 6 by administration of letrozole(1 mg/(kg·d))for 21 days.Blood was taken from the tail vein after modeling and serum was collected to detect hormone levels.The model rats were then divided randomly into four groups and treated with the corresponding drugs for 6 weeks.Blood,blood vessels,and ovaries were then collected.Tissue morphology was examined by hematoxylin and eosin staining and serum levels of luteinizing hormone(LH),testosterone(T),follicle-stimulating hormone(FSH),endothelin(ET-1),and tumor necrosis factor(TNF-α)were detected by enzyme-linked immunosorbent assay(ELISA).Serum levels of nitric oxide(NO)were determined by spectrophotometry.Protein expression levels of core targets and RAS pathway-related factors were assessed by western blotting and immunohistochemistry.Results Twenty-five intersection targets of EPO and PCOS were identified by network pharmacological analysis.Kyoto encyclopedia of genes and genomes analysis showed that EPO improved vascular injury in PCOS rats via multiple pathways,including RAS.Serum levels of ET-1,FSH,LH,and T measured by ELISA were significantly decreased after EPO treatment,compared with the model group(P＜0.01).EPO significantly decreased the expression levels of Ang Ⅰ,VEGF-B,AT2R,ET-1,and TNF-α proteins in the aorta(P＜0.01)and significantly increased expression levels of Ang Ⅱ,CD31,and endothelial NO synthase proteins(P＜0.01).Conclusions EPO may ameliorate vascular endothelial injury in PCOS model rats by inhibiting the RAS signaling pathway and by overactivation of the ACE/Ang Ⅱ/AT1 axis.

Objective:To investigate the selection of treatment methods for renal tumors in pilots as well as the clinical significance of robot-assisted surgery by summarizing the process of robot-assisted surgery in the treatment of renal cell carcinoma in a pilot.Methods:The diagnosis, robot-assisted surgery and aeromedical assessment of a pilot with renal cell carcinoma were reported, and the related literature was reviewed.Results:The patient was a 44-year-old male transporter pilot, who was diagnosed with a left renal mass in the middle-lower pole of the kidney during a routine abdominal CT scan. After detailed preoperative evaluation that ruled out the possibility of distant metastasis and other surgical contraindications, the patient underwent robot-assisted laparoscopic partial nephrectomy in August 2022. The postoperative recovery went well, and renal function remained within normal limits at follow-ups. In March 2023, the pilot was concluded as qualified for flight after aeromedical assessment.Conclusions:Robot-assisted partial nephrectomy can significantly reduce surgical trauma, lower the risk of complications, and maximally preserve renal function. It is a good approach to renal tumors in pilots who can recover quickly.

Objective To explore the effect of evening primrose oil(EPO)on aortic endothelial damage in rats with polycystic ovary syndrome(PCOS),using network pharmacology and in vivo experiments.Methods The potential targets of EPO for improving aortic endothelial injury in PCOS rats were predicted by network pharmacology,and the selected core targets and renin-angiotensin signaling(RAS)pathway were verified by experiments.Fifty-eight female SD rats were divided randomly into a blank group(n=10)and a modeling group(n=48).Rats in the blank group were fed a normal diet and rats in the modeling group received a high-fat diet for 8 weeks.The PCOS model was prepared at week 6 by administration of letrozole(1 mg/(kg·d))for 21 days.Blood was taken from the tail vein after modeling and serum was collected to detect hormone levels.The model rats were then divided randomly into four groups and treated with the corresponding drugs for 6 weeks.Blood,blood vessels,and ovaries were then collected.Tissue morphology was examined by hematoxylin and eosin staining and serum levels of luteinizing hormone(LH),testosterone(T),follicle-stimulating hormone(FSH),endothelin(ET-1),and tumor necrosis factor(TNF-α)were detected by enzyme-linked immunosorbent assay(ELISA).Serum levels of nitric oxide(NO)were determined by spectrophotometry.Protein expression levels of core targets and RAS pathway-related factors were assessed by western blotting and immunohistochemistry.Results Twenty-five intersection targets of EPO and PCOS were identified by network pharmacological analysis.Kyoto encyclopedia of genes and genomes analysis showed that EPO improved vascular injury in PCOS rats via multiple pathways,including RAS.Serum levels of ET-1,FSH,LH,and T measured by ELISA were significantly decreased after EPO treatment,compared with the model group(P＜0.01).EPO significantly decreased the expression levels of Ang Ⅰ,VEGF-B,AT2R,ET-1,and TNF-α proteins in the aorta(P＜0.01)and significantly increased expression levels of Ang Ⅱ,CD31,and endothelial NO synthase proteins(P＜0.01).Conclusions EPO may ameliorate vascular endothelial injury in PCOS model rats by inhibiting the RAS signaling pathway and by overactivation of the ACE/Ang Ⅱ/AT1 axis.

Objective:To investigate the selection of treatment methods for renal tumors in pilots as well as the clinical significance of robot-assisted surgery by summarizing the process of robot-assisted surgery in the treatment of renal cell carcinoma in a pilot.Methods:The diagnosis, robot-assisted surgery and aeromedical assessment of a pilot with renal cell carcinoma were reported, and the related literature was reviewed.Results:The patient was a 44-year-old male transporter pilot, who was diagnosed with a left renal mass in the middle-lower pole of the kidney during a routine abdominal CT scan. After detailed preoperative evaluation that ruled out the possibility of distant metastasis and other surgical contraindications, the patient underwent robot-assisted laparoscopic partial nephrectomy in August 2022. The postoperative recovery went well, and renal function remained within normal limits at follow-ups. In March 2023, the pilot was concluded as qualified for flight after aeromedical assessment.Conclusions:Robot-assisted partial nephrectomy can significantly reduce surgical trauma, lower the risk of complications, and maximally preserve renal function. It is a good approach to renal tumors in pilots who can recover quickly.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.

Objective: Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM. Methods: Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM. Results: A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61–0.70), 0.72 (95% CI, 0.62–0.70), and 0.70 (95% CI, 0.61–0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort. Conclusion We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.