Objective To observe the mode of RET proto-oncogene mutation in a pedigree with multiple endocrine neoplasia type 2A (MEN2A).Methods Six members from a MEN2A family,including the proband,were enrolled.Genomic DNAs of these members were extracted from peripheral blood lymphocytes for polymerase chain reaction(PCR),PCR products of 21 exons of the RET proto-oncogene were purified and a direct gene sequence analysis was performed.DNA sequencing was performed on the related exon of the other family members after verifying the mutation site.Results The female proband sufferd from pheochromocytoma and medullary thyroid carcinoma since the age of 45,two missense mutations of TGC(Cys) to TCC(Ser) at codon 634 and CTG(Leu) to TTT(Phe) at codon 633 in exon 11 of the RET proto-oncogene were detected in the proband,while the other members remain unchanged.Conclusions Analysis of the RET proto-oncogene identifies a united mutation of TGC (Cys) to TCC (Ser) at codon 634 and CTG(Leu) to TTT(Phe) at codon 633 in the proband.The former is a proven mutation related to MEN2A,while the latter has never been reported before.

Pan-immune inflammation value (PIV) is a comprehensive immune inflammatory biomarker based on complete blood cell counts, which has been proven to predict treatment response and survival outcomes for different types of tumors. However, the predictive value of the PIV varies in different strategies for tumor treatment. This paper aims to systematically review the latest progress of PIV in predicting survival outcomes and tumor prognosis for immunotherapy, radiotherapy, targeted therapy, endocrine therapy, surgical treatment and neoadjuvant therapy, and analyze its existing challenges and issues, as well as look forward to its future development direction and application prospects.

Objective To investigate the correlation between pre-treatment pan-immune inflammation value (PIV) and clinicopathological features in esophageal squamous cell carcinoma (ESCC) patients with postoperative adjuvant radiotherapy and evaluate its value in prognosis assessment combined with T stage. Methods A retrospective analysis was conducted on data of 85 ESCC patients with postoperative adjuvant radiotherapy in the Department of Radiation Oncology of the Affiliated Hospital of Yangzhou University from January 2019 to January 2023. The receiver operating characteristic (ROC) curve was drew to obtain the optimal cut-off value of PIV and other immune-inflammatory biomarkers. The area under the curve (AUC) and clinical applicability of PIV and other immune-inflammatory biomarkers were compared based on the ROC curve and decision curve analysis (DCA). According to the optimal cut-off value, patients were divided into high PIV group and low PIV group, and the correlation between PIV level and clinicopathological features of ESCC was evaluated. Kaplan-Meier method was used for survival analysis, the Cox proportional hazards model was used for multivariate analysis, and a risk stratification model combining PIV and T stage was established by recursive partitioning analysis (RPA). Results The optimal cut-off value of pre-treatment PIV was determined as 187.22 based on the ROC curve. The AUC of PIV was 0.679, which was greater than 0.640, 0.583, 0.656 and 0.644 of the other four immune-inflammatory biomarkers such as the systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte ratio (NLR). The 85 patients were divided into low PIV group (< 187.22, n=48) and high PIV group (≥187.22, n=37). The level of PIV was significantly correlated with tumor diameter (P < 0.05). The 3-year overall survival (OS) (75.6% versus 30.6%, P < 0.001) and 3-year disease-free survival (DFS) (56.1% versus 21.0%, P < 0.001) were significantly higher in the low PIV group than the high PIV group. Tumor diameter, T stage and PIV were independent factors affecting OS in ESCC patients (P < 0.05), and T stage and PIV were independent factors affecting DFS in ESCC patients (P < 0.05). A new staging system with three risk groups was established by the RPA stratification model based on T stage and PIV, which further improved the predictive value of prognosis compared with T stage or PIV alone. Conclusion Pre-treatment PIV is helpful in predicting the prognosis of ESCC patients with postoperative adjuvant radiotherapy, and the combination of PIV and T stage can improve the predictive value.

Objective:To investigate the associations between small diffusion-weighted imaging (DWI) hyperintensities lesions and total cerebral small vessel disease (cSVD) burden and the influence on prognosis in patients with acute intracerebral hemorrhage (ICH).Methods:Consecutive patients with acute spontaneous ICH from January 2018 to June 2021 were recruited in the Stroke Center of Zhengzhou People′s Hospital. Magnetic resonance imaging was performed to quantify DWI hyperintensities lesions and cSVD imaging markers, including white matter hyperintensities, enlarged perivascular spaces, lacunes and cerebral microbleeds, which were calculated for the total cSVD burden (0-4 points). The prognosis was assessed with the modified Rankin Scale (mRS) at discharge and 90-day. Multivariable Logistic regression models were adopted to explore the associations between DWI lesions and total cSVD burden and clinical outcome.Results:Of 283 included patients, 59 (20.8%) had small DWI lesions, 32 (11.3%) had multiple lesions. They were mostly punctate, mainly located in the cortical and subcortical regions, and scattered in multiple vascular territories. With the increase of cSVD burden, the number of DWI lesions gradually increased. Spearman correlation analysis showed that the total cSVD burden was positively correlated with the number of DWI lesions ( r=0.21, P<0.001). In multivariable regression analyses, the total cSVD burden was independently associated with DWI lesions ( OR=1.63, 95% CI 1.23-2.15, P=0.001). The 90-day poor outcome (mRS scores≥4) in patients with DWI lesions was significantly higher than those without DWI lesions (39.3% vs 16.3%, χ 2=14.38, P<0.001), while there was no statistically significant difference in the poor outcome of discharge between the two groups (26.5% vs 17.7%, χ 2=3.06, P=0.080). With the increase in the number of DWI lesions, the 90-day poor outcome increased significantly (trend chi-squared test χ 2=11.50, P=0.001). Multivariable analyses showed that DWI lesions ( OR=4.39, 95% CI 1.92-10.03, P<0.001) and their number ( OR=1.42, 95% CI 1.06-1.90, P=0.018) were independently associated with the 90-day poor outcome. Conclusions:Higher total cSVD burden is an independent risk factor for small DWI lesions in patients with ICH. Small DWI lesions were independently associated with the 90-day poor outcome, but not with the discharge outcome.

Objective:To investigate the value of a nomogram predicting the outcome of intracerebral hemorrhage (ICH) based on clinical characteristics and diffusion-weighted imaging (DWI) of hyperintense lesions.Methods:A case-control study. Consecutive patients, aged 30-88(59±13) years old, with ICH were recruited at the Stroke Center of Zhengzhou People′s Hospital from January 2018 to August 2021. Patients were divided into a group with DWI lesions and a group without DWI lesions depending on whether there were DWI hyperintense lesions distant from the hematoma. Prognosis was evaluated at 90 days via the modified Rankin Scale (mRS). Univariate and multivariable logistic regression models were used to identify independent predictors of a poor ICH outcome (mRS score≥4), and a nomogram model was developed. The performance of the nomogram was validated via the area under the receiver operating characteristic curve (AUC) and a calibration chart.Results:Of the 303 patients included in the study, 24.8% presented with DWI lesions; 17.5% with asymptomatic DWI lesions and 7.3% with symptomatic DWI lesions. Poor outcomes were significantly more frequent in the group with DWI lesions than in the group without DWI lesions ( χ2=21.32, P<0.001). In multivariable regression analysis, age [odds ratio ( OR)=1.032, 95% confidence interval ( CI) 1.002-1.063, P=0.035], hematoma volume ( OR=1.050, 95% CI 1.011-1.090, P=0.012), hematoma location ( OR=3.839, 95% CI 1.248-11.805, P=0.019), DWI lesions ( OR=3.955, 95% CI 1.906-8.206, P<0.001), and baseline NIHSS scores ( OR=1.102, 95% CI 1.038-1.170, P=0.001) were independent predictors of a poor outcome. In subgroup analysis patients with asymptomatic DWI lesions had a 3-fold greater risk of a poor outcome compared to those without DWI lesions ( OR=3.135, 95% CI 1.382-7.112, P=0.006), and patients with symptomatic DWI lesions had a 7-fold greater risk of a poor outcome compared to those without DWI lesions ( OR=7.126, 95% CI 2.279-22.277, P=0.001). A nomogram model was established based on the independent predictors for a poor outcome. The AUC of the nomogram was 0.846 (95% CI 0.795-0.898), and a calibration chart indicated good consistency between values predicted by the nomogram and actual observed values. Conclusions:DWI lesions are an independent risk factor for a poor outcome in patients with ICH-particularly symptomatic DWI lesions. A nomogram model based on clinical characteristics and DWI lesions exhibited good efficacy when predicting the outcome of ICH.

Objective To analyze the hemodynamic parameters of anomalous origin of the right coronary artery from the left coronary artery sinus (AORL) based on computational fluid dynamics (CFD), so as to make an evaluation of the disease. Methods A normal right coronary artery (RCA) case and an AORL case were selected. Two models were reconstructed in Mimics software and imported into ANSYS CFX software for hemodynamics simulation. The hemodynamics of normal RCA model and AORL model were compared. Results AORL model had a smaller volume flow (9.35 cm3/s), which might lead to insufficient blood supply downstream of the RCA; the pressure at the acute corner of AORL model (13.78 kPa) was lower than normal RCA model (14.9 kPa); the wall shear stress (WSS) of AORL model (12.83 Pa) was larger than that of normal RCA model (9.74 Pa); the total deformation of AORL model was relatively large. Conclusions The entrance velocity and pressure of AORL were lower than those of normal RCA, which might lead to ischemic symptoms. The research findings are of theoretical significance for the effective evaluation of ischemia and other diseases in clinic.