Background and Aims:Abdominal aortic aneurysm(AAA)is a common arterial dilation disease in vascular surgery,with aneurysm rupture being its most serious complication,often leading to fatal hemorrhage and posing a severe threat to patients'lives.Endovascular aneurysm repair(EVAR),due to its minimally invasive nature,safety,and rapid recovery,has become the preferred treatment for AAA.However,endoleak,a complication unique to EVAR,remains a major clinical challenge.Persistent endoleak can lead to sustained high pressure within the aneurysm sac,increasing the risk of continued expansion and rupture.It is one of the main causes of the high reintervention rate following EVAR.In particular,the treatment strategy for type Ⅱ endoleaks remains controversial.This study was conducted to evaluate the clinical value of selective sac embolization via the iliac approach combined with standard EVAR in managing intraoperative immediate endoleaks.Methods:The clinical data of AAA patients with a risk of endoleak who underwent standard EVAR at the First Hospital of China Medical University between March 2023 and September 2024 were retrospectively collected.Patients were divided into an intervention group(n=42)and a non-intervention group(n=32)based on whether selective sac embolization via the iliac approach was performed during operation.General clinical data,preoperative anatomical characteristics of the AAA,surgical details,and postoperative follow-up results were compared between the two groups.Results:There were no statistically significant differences between the two groups in terms of age,sex,anatomical features,rupture rate,or off-label use(all P>0.05).The technical success rate during surgery was 100%in both groups.One patient in the intervention group experienced transient sigmoid colon ischemia after operation,which resolved with conservative treatment.The mean follow-up period was(6.49±4.68)months.The proportions of aneurysm sac shrinkage,stability,and enlargement in the intervention group were 40.5%,57.1%,and 2.4%,respectively,compared to 59.4%,40.6%,and 0.0%in the non-intervention group,with no statistically significant differences(all P>0.05).The incidence of endoleak during follow-up was also comparable between the two groups(P>0.05).Conclusion:For intraoperative endoleaks during standard EVAR,selective sac embolization via the iliac approach is a technically simple and safe method that provides short-term outcomes comparable to those in patients without intraoperative endoleaks.Its long-term efficacy warrants further investigation through extended follow-up.

Objective:To investigate the relationship between the changes in extracellular vesicles (EVs) size distribution before and after cardiopulmonary bypass (CPB) cardiac surgery and postoperative coagulation function.Methods:A total of 103 patients undergoing cardiac surgery with CPB were enrolled. Venous blood samples were collected at preoperation, postoperative 12 h and 3 days. Additionally, 50 age- and gender-matched healthy volunteers served as a control group. EVs were isolated using gradient centrifugation, and their size distribution was assessed by dynamic light scattering (DLS). The relationship between EV size characteristics, including peak diameter, peak height, and interquartile range( IQR), and postoperative coagulation function was analyzed. Results:Compared to patients with normal postoperative coagulation function, those with postoperative coagulation dysfunction had lower size at peak and IQR, and significantly higher peak intensity. Logistic regression analysis indicated that elevated peak intensity and lower size at peak and IQR were risk factors for coagulation dysfunction. The area under the curve ( AUC) for diagnosing coagulation dysfunction with 12 h postoperative EVs peak intensity was 0.76, with a positive predictive value of 85% at the optimal cutoff of 8.2; the AUC for IQR was 0.84, with a sensitivity of 83%, specificity of 82%, and negative predictive value of 86% at the optimal cutoff of 125.05 nm. Conclusion:The size distribution of circulating EVs show a correlation with coagulation function after cardiac surgery with CPB and may serve as a novel biomarker to predict postoperative coagulation dysfunction.

Objective:To explore the effects of deep hyperthermia on chemotherapy-related adverse effects and immune-inflammatory indicators in the patients undergoing postoperative adjuvant chemotherapy for colorectal cancer.Methods:This retrospective study included 52 patients who underwent surgery for colorectal cancer at the Affiliated Zhongshan Hospital of Dalian University from September 2021 to December 2023. The patients were divided into two groups based on treatment method: the combination group ( n=29) received postoperative adjuvant chemotherapy combined with deep hyperthermia, while the chemotherapy group ( n=23) received postoperative adjuvant chemotherapy alone. Both groups were treated with the XELOX regimen (oxaliplatin + capecitabine). The degree of bone marrow suppression during treatment was assessed by analyzing peripheral blood parameters, including hemoglobin, leukocyte count, neutrophil count, and platelet count. Immune-inflammatory indicators, including complement, procalcitonin (PCT), interleukin-6 (IL-6), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), were compared before and after treatment in both groups to evaluate the effects of deep hyperthermia on the immune-inflammatory response. Chi-square test or Fisher's exact test (two-tailed) was used to compare bone marrow suppression rates, and the immune-inflammatory indicators between the two groups were compared using t-tests or non-parametric tests, depending on whether the data conformed to a normal distribution. Results:In terms of myelosuppression, the incidence rates of moderate to severe decreases in leukocytes, neutrophils, platelets, and hemoglobin in the combination group were 31%, 31%, 21%, and 14%, respectively, compared to 52%, 61%, 48%, and 9% in the chemotherapy group. The change in PCT levels before and after treatment was significantly greater in the combination group than in the chemotherapy group ( P = 0.010). Both the combination group and the chemotherapy group showed significant reductions in SII, NLR and PLR after treatment, and the differences were statistically significant (all P < 0.05). The change in NLR before and after treatment was significantly greater in the combination group than in the chemotherapy group ( P = 0.031). Conclusions:Deep hyperthermia can alleviate chemotherapy-induced adverse effects such as thrombocytopenia and neutropenia in patients undergoing postoperative adjuvant chemotherapy for colorectal cancer. It also appears to improve the inflammatory response in these patients.

Background and Aims:Abdominal aortic aneurysm(AAA)is a common arterial dilation disease in vascular surgery,with aneurysm rupture being its most serious complication,often leading to fatal hemorrhage and posing a severe threat to patients'lives.Endovascular aneurysm repair(EVAR),due to its minimally invasive nature,safety,and rapid recovery,has become the preferred treatment for AAA.However,endoleak,a complication unique to EVAR,remains a major clinical challenge.Persistent endoleak can lead to sustained high pressure within the aneurysm sac,increasing the risk of continued expansion and rupture.It is one of the main causes of the high reintervention rate following EVAR.In particular,the treatment strategy for type Ⅱ endoleaks remains controversial.This study was conducted to evaluate the clinical value of selective sac embolization via the iliac approach combined with standard EVAR in managing intraoperative immediate endoleaks.Methods:The clinical data of AAA patients with a risk of endoleak who underwent standard EVAR at the First Hospital of China Medical University between March 2023 and September 2024 were retrospectively collected.Patients were divided into an intervention group(n=42)and a non-intervention group(n=32)based on whether selective sac embolization via the iliac approach was performed during operation.General clinical data,preoperative anatomical characteristics of the AAA,surgical details,and postoperative follow-up results were compared between the two groups.Results:There were no statistically significant differences between the two groups in terms of age,sex,anatomical features,rupture rate,or off-label use(all P>0.05).The technical success rate during surgery was 100%in both groups.One patient in the intervention group experienced transient sigmoid colon ischemia after operation,which resolved with conservative treatment.The mean follow-up period was(6.49±4.68)months.The proportions of aneurysm sac shrinkage,stability,and enlargement in the intervention group were 40.5%,57.1%,and 2.4%,respectively,compared to 59.4%,40.6%,and 0.0%in the non-intervention group,with no statistically significant differences(all P>0.05).The incidence of endoleak during follow-up was also comparable between the two groups(P>0.05).Conclusion:For intraoperative endoleaks during standard EVAR,selective sac embolization via the iliac approach is a technically simple and safe method that provides short-term outcomes comparable to those in patients without intraoperative endoleaks.Its long-term efficacy warrants further investigation through extended follow-up.

Objective:To investigate the relationship between the changes in extracellular vesicles (EVs) size distribution before and after cardiopulmonary bypass (CPB) cardiac surgery and postoperative coagulation function.Methods:A total of 103 patients undergoing cardiac surgery with CPB were enrolled. Venous blood samples were collected at preoperation, postoperative 12 h and 3 days. Additionally, 50 age- and gender-matched healthy volunteers served as a control group. EVs were isolated using gradient centrifugation, and their size distribution was assessed by dynamic light scattering (DLS). The relationship between EV size characteristics, including peak diameter, peak height, and interquartile range( IQR), and postoperative coagulation function was analyzed. Results:Compared to patients with normal postoperative coagulation function, those with postoperative coagulation dysfunction had lower size at peak and IQR, and significantly higher peak intensity. Logistic regression analysis indicated that elevated peak intensity and lower size at peak and IQR were risk factors for coagulation dysfunction. The area under the curve ( AUC) for diagnosing coagulation dysfunction with 12 h postoperative EVs peak intensity was 0.76, with a positive predictive value of 85% at the optimal cutoff of 8.2; the AUC for IQR was 0.84, with a sensitivity of 83%, specificity of 82%, and negative predictive value of 86% at the optimal cutoff of 125.05 nm. Conclusion:The size distribution of circulating EVs show a correlation with coagulation function after cardiac surgery with CPB and may serve as a novel biomarker to predict postoperative coagulation dysfunction.

Objective:To explore the effects of deep hyperthermia on chemotherapy-related adverse effects and immune-inflammatory indicators in the patients undergoing postoperative adjuvant chemotherapy for colorectal cancer.Methods:This retrospective study included 52 patients who underwent surgery for colorectal cancer at the Affiliated Zhongshan Hospital of Dalian University from September 2021 to December 2023. The patients were divided into two groups based on treatment method: the combination group ( n=29) received postoperative adjuvant chemotherapy combined with deep hyperthermia, while the chemotherapy group ( n=23) received postoperative adjuvant chemotherapy alone. Both groups were treated with the XELOX regimen (oxaliplatin + capecitabine). The degree of bone marrow suppression during treatment was assessed by analyzing peripheral blood parameters, including hemoglobin, leukocyte count, neutrophil count, and platelet count. Immune-inflammatory indicators, including complement, procalcitonin (PCT), interleukin-6 (IL-6), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), were compared before and after treatment in both groups to evaluate the effects of deep hyperthermia on the immune-inflammatory response. Chi-square test or Fisher's exact test (two-tailed) was used to compare bone marrow suppression rates, and the immune-inflammatory indicators between the two groups were compared using t-tests or non-parametric tests, depending on whether the data conformed to a normal distribution. Results:In terms of myelosuppression, the incidence rates of moderate to severe decreases in leukocytes, neutrophils, platelets, and hemoglobin in the combination group were 31%, 31%, 21%, and 14%, respectively, compared to 52%, 61%, 48%, and 9% in the chemotherapy group. The change in PCT levels before and after treatment was significantly greater in the combination group than in the chemotherapy group ( P = 0.010). Both the combination group and the chemotherapy group showed significant reductions in SII, NLR and PLR after treatment, and the differences were statistically significant (all P < 0.05). The change in NLR before and after treatment was significantly greater in the combination group than in the chemotherapy group ( P = 0.031). Conclusions:Deep hyperthermia can alleviate chemotherapy-induced adverse effects such as thrombocytopenia and neutropenia in patients undergoing postoperative adjuvant chemotherapy for colorectal cancer. It also appears to improve the inflammatory response in these patients.

Objective:To investigate the influencing factors for lung metastasis of hepato-cellular carcinoma after liver transplantation and application value of its nomogram prediction model.Methods:The retrospective cohort study was conducted. The clinicopathological data of 339 hepatocellular carcinoma patients with lung metastasis after liver transplantation who were admitted to Zhongshan Hospital of Fudan University from January 2015 to June 2019 were collected. There were 299 males and 40 females, aged from 23 to 73 years, with a median age of 54 years. According to the random numbers showed in the computer, all 339 patients were divided into training dataset consisting of 226 and validation dataset consisting of 113, with a ratio of 2:1. All patients underwent classic orthotopic liver transplantation. Observation indicators: (1) analysis of clinicopathological data of patients in the training dataset and validation dataset; (2) follow-up; (3) analysis of influencing factors for lung metastasis of hepatocellular carcinoma after liver transplanta-tion; (4) construction and evaluation of nomogram prediction model for lung metastasis of hepatocellular carcinoma after liver transplantation. Follow-up was conducted using outpatient examination and telephone interview to detect lung metastasis of patients up to November 2020. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the paired t test. Measurement data with skewed distribution were represented as M( P25, P75) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute number or percentages, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate lung metastasis rate and draw lung metastasis curve. The Log-rank test was used for survival analysis. The COX proportional hazard model was used for univariate and multivariate analysis. Based on the results of multivariate analysis, the nomogram prediction model was constructed. The prediction accuracy of the nomogram model was evaluated using C-index and receiver operating characteristic (ROC) curve. The calibration curve was used to evaluate the prediction error of the model. Results:(1) Analysis of clinicopathological data of patients in the training dataset and validation dataset: there was no significant difference in general data between patients in the training dataset and validation dataset ( P>0.05). (2) Follow-up: 226 patients in training dataset and 113 patients in validation dataset were followed up. The follow-up time of training dataset was 5.2 to 69.0 months, with a median follow-up time of 29.3 months, and the follow-up time of validation dataset was 4.3 to 69.0 months, with a median follow-up time of 30.4 months. Up to the last follow-up, 48 cases of the training dataset and 22 cases of the validation dataset had lung metastasis, with the incidence and median time of lung metastasis were 21.24%(48/226), 19.47%(22/113) and 8.5 months, 7.8 months, respectively. There was no significant difference in lung metastasis between patients in the training dataset and validation dataset ( χ2=0.144, P>0.05). (3) Analysis of influencing factors for lung metastasis of hepatocellular carcinoma after liver transplantation: results of univariate analysis showed that age, alpha fetoprotein, tumor diameter, tumor differentiation degree, vascular invasion, systemic immune inflammation index and postoperative treatment were related factors for lung metastasis of hepatocellular carcinoma after liver transplantation ( hazard ratio=0.465, 3.413, 1.140, 3.791, 2.524, 2.053, 1.833, 95% confidence interval as 0.263?0.822, 1.740?6.695, 1.091?1.191, 1.763?8.154, 1.903?3.349, 1.047?4.027, 1.038?3.238, P<0.05) . Results of multivariate analysis showed that age, tumor diameter and vascular invasion were independent influencing factors for lung metastasis of hepatocellular carcinoma after liver transplantation ( hazard ratio=0.462, 1.076, 2.170, 95% confidence interval as 0.253?0.843, 1.013?1.143, 1.545?3.048, P<0.05). (4) Construction and evaluation of nomogram prediction model for lung metastasis of hepatocellular carcinoma after liver transplantation: the C-index was 0.810 (95% confidence interval as 0.758?0.863) and 0.802 (95% confidence interval as 0.723?0.881) of the nomogram prediction model for lung metastasis of hepatocellular carcinoma after liver transplanta-tion in the training dataset and validation dataset, respectively, showing good discrimination ability. The area under ROC of 0.5-, 1- and 2-year nomogram prediction model in the training dataset and the validation dataset were 0.815(95% confidence interval as 0.725?0.905), 0.863(95% confidence interval as 0.809?0.917), 0.835(95% confidence interval as 0.771?0.900)and 0.873(95% confidence interval as 0.801?0.945), 0.858(95% confidence interval as 0.760?0.956), 0.841(95% confidence interval as 0.737?0.945), respectively, which illustrated that the model had good predictive ability. The formula of nomogram prediction model=33.300 06+(?33.300 06)×age(≤50 years=0, >50 years=1)+2.857 14×tumor diameter (cm)+31.585 71×vascular invasion (M0 stage of microvascular invasion staging=0, M1 stage of microvascular invasion staging=1, M2 stage of microvascular invasion staging=2, visible tumor thrombus=3). The optimal threshold of nomogram risk score was 77.5. Patients with risk score ≥77.5 were assigned into high risk group, and patients with risk score <77.5 were assigned into low risk group. The 0.5-,1- and 2-year lung metastasis rate of patients in the high risk group and low risk group of the training dataset were 16.7%, 39.2%, 46.4% and 1.4%, 4.1%, 6.9%, respectively, showing a significant difference between the two groups ( χ2=54.86, P<0.05). The 0.5-,1- and 2-year lung metastasis rate of patients in the high risk group and low risk group of the validation dataset were 17.6%, 29.0%, 39.5% and 0, 3.1%, 4.8%, respectively, showing a significant difference between the two groups ( χ2=25.29, P<0.05). Conclusions:Age, tumor diameter and vascular invasion are independent influencing factors for lung metastasis of hepatocellular carcinoma after liver transplantation. The nomogram prediction model based on age, tumor diameter and vascular invasion can predict risk of lung metastasis for hepatocellular carcinoma patients after liver transplantation accurately.

PURPOSE: The significance of neuroendocrine differentiation (NED) in gastric carcinoma (GC) is controversial, leading to ambiguous concepts in traditional classifications. This study aimed to determine the prognostic threshold of meaningful NED in GC and clarify its unclear features in existing classifications. MATERIALS AND METHODS: Immunohistochemical staining for synaptophysin, chromogranin A, and neural cell adhesion molecule was performed for 945 GC specimens. Survival analysis was performed using the log-rank test and univariate/multivariate models with percentages of NED (PNED) and demographic and clinicopathological parameters. RESULTS: In total, 275 (29.1%) cases were immunoreactive to at least 1 neuroendocrine (NE) marker. GC-NED was more common in the upper third of the stomach. PNED, and Borrmann's classification and tumor, lymph node, metastasis stages were independent prognostic factors. The cutoff PNED was 10%, beyond which patients had significantly worse outcomes, although the risk did not increase with higher PNED. Tumors with ≥10% NED tended to manifest as Borrmann type III lesion with mixed/diffuse morphology and poorer histological differentiation; the NE components in this population mainly grew in insulae/nests, which differed from the predominant growth pattern (glandular/acinar) in GC with <10% NED. CONCLUSIONS: GC with ≥10% NED should be classified as a distinct subtype because of its worse prognosis, and more attention should be paid to the necessity of additional therapeutics for NE components.
Adenocarcinoma ; Chromogranin A ; Classification ; Humans ; Immunohistochemistry ; Lymph Nodes ; Neoplasm Metastasis ; Neural Cell Adhesion Molecules ; Prognosis ; Stomach ; Stomach Neoplasms ; Synaptophysin

Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases. Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specific scoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively, demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%-42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.
Amino Acid Sequence ; Amino Acids ; metabolism ; Deep Learning ; Humans ; Internet ; Neural Networks (Computer) ; Nitrosation ; Proteins ; chemistry ; metabolism ; Reproducibility of Results ; Software