OBJECTIVE: To investigate the influencing factors of pathological positive surgical margins (PSM) after radical resection of prostate cancer. METHODS: The clinical data of 407 patients who underwent radical resection of prostate cancer in our hospital from 2011 to 2020 were retrospectively analyzed. And the patients were divided into two groups according to postoperative pathological results. Single factor analysis was used to evaluate the differences in postoperative Gleason score, preoperative total prostate-specific antigen (tPSA), preoperative serum free prostate-specific antigen to preoperative tPSA ratio (fPSA/ tPSA), clinical stage, postoperative pathological stage, operation method, age, body mass index (BMI), diameter and volume of prostate tumor. Multivariate logistic regression was used to determine the independent risk factor of PSM. RESULTS: Among 407 patients with prostate cancer, 179 cases (43.98%) were positive. Univariate analysis showed that there were significant differences in postoperative Gleason score, preoperative tPSA, clinical stage and postoperative pathological stage between the two groups (P<0.05). And Gleason score, preoperative tPSA and pathologic stage were independent risk factors for PSM. CONCLUSION There are relationships between PSM and postoperative Gleason score, tPSA, clinical T stage, postoperative pathologic pT stage. Among them, postoperative Gleason score (Gleason=7 points, Gleason≥8 points), preoperative total prostate-specific antigen (tPSA > 20 μg/L), and postoperative pathologic pT stage (pT3a, pT3b) were independent risk factors for positive pathological margins of prostate cancer.
Margins of Excision ; Prostatic Neoplasms/surgery* ; Prostatectomy/statistics & numerical data* ; Prostate/surgery* ; Retrospective Studies ; Neoplasm Grading/statistics & numerical data* ; Prostate-Specific Antigen/blood* ; Neoplasm Staging/statistics & numerical data* ; Postoperative Period ; Risk Factors ; Humans ; Male

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

The aim of this study is to explore the mechanism of ligustilide, the main active constituent of essential oils of traditional Chinese medicine Angelicae Sinensis Radix, on alleviating oxygen-glucose deprivation/reperfusion(OGD/R) injury in PC12 cells from the perspective of ferroptosis. OGD/R was induced in vitro, and 12 h after ligustilide addition during reperfusion, cell viability was detected by cell counting kit-8(CCK-8) assay. DCFH-DA staining was used to detect the level of intracellular reactive oxygen species(ROS). Western blot was employed to detect the expression of ferroptosis-related proteins, glutathione peroxidase 4(GPX4), transferrin receptor 1(TFR1), and solute carrier family 7 member 11(SLC7A11), and ferritinophagy-related proteins, nuclear receptor coactivator 4(NCOA4), ferritin heavy chain 1(FTH1), and microtubule-associated protein 1 light chain 3(LC3). The fluorescence intensity of LC3 protein was analyzed by immunofluorescence staining. The content of glutathione(GSH), malondialdehyde(MDA), and Fe was detected by chemiluminescent immunoassay. The effect of ligustilide on ferroptosis was observed by overexpression of NCOA4 gene. The results showed that ligustilide increased the viability of PC12 cells damaged by OGD/R, inhibited the release of ROS, reduced the content of Fe and MDA and the expression of TFR1, NCOA4, and LC3, and improved the content of GSH and the expression of GPX4, SLC7A11, and FTH1 compared with OGD/R group. After overexpression of the key protein NCOA4 in ferritinophagy, the inhibitory effect of ligustilide on ferroptosis was partially reversed, indicating that ligustilide may alleviate OGD/R injury of PC12 cells by blocking ferritinophagy and then inhibiting ferroptosis. The mechanism by which ligustilide reduced OGD/R injury in PC12 cells is that it suppressed the ferroptosis involved in ferritinophagy.
Animals ; Rats ; PC12 Cells ; Ferroptosis/genetics* ; Reactive Oxygen Species ; Transcription Factors ; Glutathione

OBJECTIVES: To explore a new method for electroencephalography (EEG) background analysis in neonates with hypoxic-ischemic encephalopathy (HIE) and its relationship with clinical grading and head magnetic resonance imaging (MRI) grading. METHODS: A retrospective analysis was performed for the video electroencephalography (vEEG) and amplitude-integrated electroencephalography (aEEG) monitoring data within 24 hours after birth of neonates diagnosed with HIE from January 2016 to August 2022. All items of EEG background analysis were enrolled into an assessment system and were scored according to severity to obtain the total EEG score. The correlations of total EEG score with total MRI score and total Sarnat score (TSS, used to evaluate clinical gradings) were analyzed by Spearman correlation analysis. The total EEG score was compared among the neonates with different clinical gradings and among the neonates with different head MRI gradings. The receiver operating characteristic (ROC) curve and the area under thecurve (AUC) were used to evaluate the value of total EEG score in diagnosing moderate/severe head MRI abnormalities and clinical moderate/severe HIE, which was then compared with the aEEG grading method. RESULTS: A total of 50 neonates with HIE were included. The total EEG score was positively correlated with the total head MRI score and TSS (r_s=0.840 and 0.611 respectively, P<0.001). There were significant differences in the total EEG score between different clinical grading groups and different head MRI grading groups (P<0.05). The total EEG score and the aEEG grading method had an AUC of 0.936 and 0.617 respectively in judging moderate/severe head MRI abnormalities (P<0.01) and an AUC of 0.887 and 0.796 respectively in judging clinical moderate/severe HIE (P>0.05). The total EEG scores of ≤6 points, 7-13 points, and ≥14 points were defined as mild, moderate, and severe EEG abnormalities respectively, which had the best consistency with clinical grading and head MRI grading (P<0.05). CONCLUSIONS The new EEG background scoring method can quantitatively reflect the severity of brain injury and can be used for the judgment of brain function in neonates with HIE.
Infant, Newborn ; Humans ; Hypoxia-Ischemia, Brain/diagnostic imaging* ; Retrospective Studies ; Brain Injuries ; Electroencephalography ; ROC Curve

Objective: To explore the value of cardiac magnetic resonance imaging (CMR) in the risk stratification of hypertrophic cardiomyopathy (HCM). Methods: HCM patients who underwent CMR examination in Fuwai Hospital between March 2012 and May 2013 were retrospectively enrolled. Baseline clinical and CMR data were collected and patient follow-up was performed using telephone contact and medical record. The primary composite endpoint was sudden cardiac death (SCD) or and equivalent event. The secondary composite endpoint was all-cause death and heart transplant. Patients were divided into SCD and non-SCD groups. Cox regression was used to explore risk factors of adverse events. Receiver operating characteristic (ROC) curve analysis was used to assess the performance and the optimal cut-off of late gadolinium enhancement percentage (LGE%) for the prediction of endpoints. Kaplan-Meier and log-rank tests were used to compare survival differences between groups. Results: A total of 442 patients were enrolled. Mean age was (48.5±12.4) years and 143(32.4%) were female. At (7.6±2.5) years of follow-up, 30 (6.8%) patients met the primary endpoint including 23 SCD and 7 SCD equivalent events, and 36 (8.1%) patients met the secondary endpoint including 33 all-cause death and 3 heart transplant. In multivariate Cox regression, syncope(HR=4.531, 95%CI 2.033-10.099, P<0.001), LGE% (HR=1.075, 95%CI 1.032-1.120, P=0.001) and left ventricular ejection fraction (LVEF) (HR=0.956, 95%CI 0.923-0.991, P=0.013) were independent risk factors for primary endpoint; Age (HR=1.032, 95%CI 1.001-1.064, P=0.046), atrial fibrillation (HR=2.977, 95%CI 1.446-6.131, P=0.003),LGE% (HR=1.075, 95%CI 1.035-1.116, P<0.001) and LVEF (HR=0.968, 95%CI 0.937-1.000, P=0.047) were independent risk factors for secondary endpoint. ROC curve showed the optimal LGE% cut-offs were 5.1% and 5.8% for the prediction of primary and secondary endpoint, respectively. Patients were further divided into LGE%=0, 0P<0.001) and the accumulated incidence of primary endpoint was 1.2% (2/161), 2.2% (2/89), 10.5% (16/152) and 25.0% (10/40), respectively. Conclusion: LGE is an independent risk factor for SCD events as well as all-cause death and heart transplant. LGE is of important value in the risk stratification in patients with HCM.
Humans ; Female ; Adult ; Middle Aged ; Male ; Contrast Media ; Retrospective Studies ; Stroke Volume ; Gadolinium ; Ventricular Function, Left ; Magnetic Resonance Imaging ; Cardiomyopathy, Hypertrophic/diagnostic imaging* ; Death, Sudden, Cardiac ; Risk Assessment

To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
Humans ; Colorectal Neoplasms/pathology* ; CA-19-9 Antigen ; Retrospective Studies ; Neoplasm Staging ; Neoplasm Recurrence, Local/pathology* ; Biomarkers, Tumor

To explore the predictive value of preoperative serum CYFRA 21-1 in colorectal cancer (CRC) resection patients. In this retrospective study, 456 patients with CRC who received surgical treatment in the Department of General Surgery, Affiliated Hospital of Nantong University from January 2016 to February 2018 were analyzed. Preoperative CYFRA 21-1, CEA, CA19-9 and pathological data of the study subjects were collected. Determine the cut-off value of CYFRA 21-1 based on the X-tile. Chi-square test or Fisher exact probability test were used to compare clinicopathological features in different CYFRA 21-1 level groups. Univariate and multivariate regression analysis of factors affecting 5-year overall survival (OS) and disease-free survival (DFS). Kaplan-Meier survival curves were used to analyze 5-year differences in OS and DFS in CRC patients with different levels of CYFRA 21-1, CEA and CA19-9. Receiver operating characteristic(ROC) was adopted. ROC curves were used to analyze the prognostic efficacy of CYFRA21-1 for CRC, and nomogram maps were used to predict 1, 3, and 5-year survival rates. The results showed that the optimal cut-off values of serum CYFRA 21-1, CEA and CA19-9 were 4.9 ng/ml, 29.2 ng/ml and 72.8 U/ml, respectively. Different gender, tumor size, location, degree of differentiation, depth of invasion, lymph node metastasis and tumor node metastasis (TNM) classification stage were significantly different between the two groups with high and low CYFRA 21-1, the P-values were 0.018,<0.001,<0.001,<0.001, 0.002, 0.001, 0.003, respectively. CYFRA 21-1 (≥4.9 ng/ml) was an independent risk factor for 5-year OS (HR: 4.008, 95%CI: 2.309-6.958, P<0.001) and DFS (HR: 3.75, 95%CI: 2.227-6.314, P<0.001) in CRC patients. CYFRA 21-1 predicts a 5-year AUC of 0.725 and 0.720 for OS and DFS, respectively, and 0.804 and 0.827 for the combination of CEA and CA19-9. Based on the results of multivariate Cox regression analysis, nomogram graphs of OS and DFS were established, the C-indexes were 0.799 and 0.803, respectively. In conclusion, preoperative serum CYFRA 21-1 level may be an independent risk factor affecting the prognosis of patients with colorectal cancer. The prognostic model established by CYFRA 21-1 combined with CEA, CA19-9 and TNM stages may provide references for the prevention of CRC recurrence and clinical decision-making.
Humans ; Colorectal Neoplasms/pathology* ; CA-19-9 Antigen ; Retrospective Studies ; Neoplasm Staging ; Neoplasm Recurrence, Local/pathology* ; Biomarkers, Tumor

Graduate education emphasizes the development of students’ scientific research andinnovation abilities. Literature reading and discussion (LRD) plays an active role in the development ofinnovative thinking and critical thinking for graduate students. However, in traditional, large molecularbiology classes, the effective implementation of large-scale, collective LRD presents a great challenge. Mosoteach is a cloud-based free app designed specifically for education with powerful human-computerinteraction and human-human interaction functions. In the present study, LRD was introduced into amolecular biology course for graduate students and was conducted via the Mosoteach app. The onlinediscussion board in the Mosoteach cloud class was restricted to enrolled students and was designated theprivate online discussion board (PODB). The PODB built a sense of community for students and was aneffective approach for organizing and facilitating discussion in large classes. Small-group learning in LRDwas helpful to understand the literature and foster collaboration and discussion. Overall, we demonstratedthat Mosoteach-based LRD was helpful in improving student learning outcomes. The relationship betweenstudent learning style and engagement, satisfaction and academic performance in cloud classes meritsfurther investigation.

The dense extracellular matrix (ECM) of the tumor severely limits the deep penetration of nanomedicine and weakens its anti-tumor effect. Based on this, the yeast vesicle biomimetic nanomedicine with active deep penetration ability of tumor tissue was designed and developed for enhanced tumor therapy. Results of characterization showed that the yeast cell vesicles (YCV) displayed a spherical morphology with diameter of around 100 nm and was well dispersed. Then the chemotherapeutic drug doxorubicin (DOX) was selected as a model drug, and DOX was loaded into YCV to obtain YCV/DOX through electrostatic interaction, the encapsulation efficiencies of DOX were calculated as 82.5%. The drug release profile of YCV/DOX implied that DOX release showed a manner of pH-dependent, it may be that pH has affected the electrostatic effect of YCV and DOX. Compared with liposomes (Lipo), in vitro cell experiments showed that YCV from natural sources had stronger permeability in three-dimensional multicellular spheres. It is speculated that the mechanism may be good deformation capacity of YCV. A 4T1 xenograft tumor model was established to evaluate the therapeutic efficacy of YCV/DOX. The results suggested that YCV/DOX has stronger tumor tissue penetration ability and could effectively inhibit the tumor growth. All animal experiments were performed in line with national regulations and approved by the Animal Experiments Ethical Committee of Zhengzhou University. This study brings new ideas for the development of biomimetic nanomedicine to overcome the ECM of solid tumors.

The content of total flavonol glycosides in Ginkgo Folium in the planting bases was determined by high performance liquid chromatography(HPLC).The samples were extracted by reflux with methanol-25% hydrochloric acid.The HPLC conditions were as follows: Agilent ZORBAX SB-C_(18) column(4.6 mm×250 mm, 5 μm), isocratic elution with mobile phase of 0.4% phosphoric acid solution-methanol(45∶55), flow rate of 1 mL·min~(-1), column temperature of 30 ℃, detection wavelength of 360 nm, and injection vo-lume of 10 μL.A method for the determination of terpene lactones in Ginkgo Folium was established based on ultra-high performance liquid chromatograph-triple-quadrupole/linear ion-trap tandem mass spectrometry(UPLC-QTRAP-MS/MS).The UPLC conditions were as below: gradient elution with acetonitrile-0.1% formic acid, flow rate of 0.2 mL·min~(-1), column temperature of 30 ℃, sample chamber temperature of 10 ℃, and injection volume of 10 μL.The ESI~+and multiple reaction monitoring(MRM) were adopted for the MS.The above methods were used to determine the content of total flavonol glycosides and terpene lactones in 99 batches of Ginkgo Folium from 6 planting bases, and the results were statistically analyzed.The content of flavonoids and terpene lactones in Ginkgo Folium from different origins, from trees of different ages, harvested at different time, from trees of different genders, and processed with different methods was compared.The results showed that the content of total flavonol glucosides in 99 Ginkgo Folium samples ranged from 0.38% to 2.08%, and the total content of the four terpene lactones was in the range of 0.03%-0.87%.The method established in this study is simple and reliable, which can be used for the quantitative analysis of Ginkgo Folium.The research results lay a basis for the quality control of Ginkgo Folium.
Chromatography, High Pressure Liquid/methods* ; Flavonoids/analysis* ; Flavonols ; Ginkgo biloba ; Glycosides/analysis* ; Lactones/analysis* ; Methanol ; Plant Leaves/chemistry* ; Tandem Mass Spectrometry/methods* ; Terpenes/analysis* ; Trees