Objective:We aimed to develop a nomogram in corporating multidetector computed tomography(MDCT)imaging features and clinicopathological indicators for the preoperative prediction of axillary lymph node metastasis(ALNM)in patients with triple-negative breast cancer(TNBC).Methods:We retrospectively analyzed data from 265 female patients with pathologically confirmed TNBC treated at Harbin Medical University Cancer Hospital between November 2020 and October 2024.Patients were randomly assigned into a training cohort(n=161)and a validation cohort(n=104)in a 6:4 ratio.Feature selection was performed using least absolute shrinkage and selection operator(LASSO)regression with 10-fold cross-validation.Independent predictors of ALNM were identified by multivariate Logistic regression analysis,and a nomogram was constructed accordingly.Model performance was assessed using receiver operating characteristic(ROC)curves,calib-ration plots,and decision curve analysis(DCA).Results:Three independent predictors of ALNM were identified:clinical N-stage(odds ratio[OR]=6.789;95%confidence interval[CI]:2.203-22.20;P=0.001),short-axis diameter of lymph nodes on CT(OR=1.686;95%CI:1.349-2.257;P<0.001),and cortical thickness(OR=6.296;95%CI:2.170-19.310;P=0.001).The nomogram showed strong discrimination,with areas under the ROC curve(AUC)of 0.918(95%CI:0.860-0.977)in the training cohort and 0.885(95%CI:0.809-0.962)in the validation cohort.Calibration was confirmed by Hosmer-Lemeshow tests(P=0.609 and P=0.694 for training and validation cohorts,respectively).DCA demon-strated clinical utility across probability thresholds of 0.02-0.96 and 0.03-0.87 in the training and validation cohorts,respectively.Conclu-sions:This nomogram,integrating MDCT imaging features and clinical indicators,provides a practical tool for individualized preoperative risk assessment and may aid clinical decision-making in patients with TNBC.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Objective:We aimed to develop a nomogram in corporating multidetector computed tomography(MDCT)imaging features and clinicopathological indicators for the preoperative prediction of axillary lymph node metastasis(ALNM)in patients with triple-negative breast cancer(TNBC).Methods:We retrospectively analyzed data from 265 female patients with pathologically confirmed TNBC treated at Harbin Medical University Cancer Hospital between November 2020 and October 2024.Patients were randomly assigned into a training cohort(n=161)and a validation cohort(n=104)in a 6:4 ratio.Feature selection was performed using least absolute shrinkage and selection operator(LASSO)regression with 10-fold cross-validation.Independent predictors of ALNM were identified by multivariate Logistic regression analysis,and a nomogram was constructed accordingly.Model performance was assessed using receiver operating characteristic(ROC)curves,calib-ration plots,and decision curve analysis(DCA).Results:Three independent predictors of ALNM were identified:clinical N-stage(odds ratio[OR]=6.789;95%confidence interval[CI]:2.203-22.20;P=0.001),short-axis diameter of lymph nodes on CT(OR=1.686;95%CI:1.349-2.257;P<0.001),and cortical thickness(OR=6.296;95%CI:2.170-19.310;P=0.001).The nomogram showed strong discrimination,with areas under the ROC curve(AUC)of 0.918(95%CI:0.860-0.977)in the training cohort and 0.885(95%CI:0.809-0.962)in the validation cohort.Calibration was confirmed by Hosmer-Lemeshow tests(P=0.609 and P=0.694 for training and validation cohorts,respectively).DCA demon-strated clinical utility across probability thresholds of 0.02-0.96 and 0.03-0.87 in the training and validation cohorts,respectively.Conclu-sions:This nomogram,integrating MDCT imaging features and clinical indicators,provides a practical tool for individualized preoperative risk assessment and may aid clinical decision-making in patients with TNBC.

Objective:To investigate the effect and mechanism of circular RNA (cirRNA) on the radiosensitivity of rectal cancer.Methods:The differential circRNAs in radiosensitive and radioresistant rectal cancer tissues (biopsy tissue before radiotherapy and chemotherapy) were detected by gene sequencing, and the effect of circRNAs on the radiosensitivity of colorectal cancer cells was further confirmed in vitro. Results:Through gene sequencing of rectal cancer tissue samples, 64 circRNAs were found to be highly expressed in radiosensitive rectal cancer tissues, and 36 circRNAs were lowly expressed in radiosensitive tissues. Ten differential circRNAs were selected and verified by qRT-PCR, and it was found that circATL2 was highly expressed in radiosensitive rectal cancer tissues. In vitro cell experiment indicated that up-regulation of circATL2 expression could significantly improve the radiosensitivity of rectal cancer. Subsequently, 8 miRNAs lowly expressed in radiosensitive rectal cancer tissues were analyzed. The direct binding relationship between miR-205 and circATL2 was confirmed by dual luciferase reporter assay. The rescue experiment confirmed that circATL2 in rectal cancer regulated the radiosensitivity of rectal cancer through miR-205. Conclusion:circATL2 regulates the radiosensitivity of rectal cancer by binding to miR-205.

Objective To investigate the role of endogenous cystathionine beta synthase (CBS)/hydrogen sulfide (H2S) and heme oxygenase-1 (HO-1)/carbon monoxide (CO) during global cerebral ischemia-reperfusion (I/R).Methods Thirty male Wistar rats weighing 180-220g were anesthetized with intraperitoneal (IP) 3% pentobarbiral 40 mg?kg-1. Global cerebral I/R was produced by 4-vessel occlusion. Bilateral vertebral arteries were cauterized and bilateral common carotid arteries were occluded with atraumatic clamps for 20 min. The clamps were then released to allow reperfusion. The animals were randomly divided into 5 groups (n=6 each) : group Ⅰ sham operation(C); groupⅡ I/R; in group Ⅲ (Z+I/R),Ⅳ(H+I/R) andⅤ(Z + H + I/R) zinc protoporphyrin (HO-1 inhibitor) 45 ?mol?kg-1 or/and 1 ml of 5 mmol?L-1 hydroxylamine (CBS inhibitor) were given IP 30 min before I/R. The animals were killed at 6h of reperfusion. Brains were removed immediately for determination of H2S, CO, GSH, MDA level and SOD activity and expression of CBS mRNA and HO-1 mRNA in hippocampus and histologic examination with electron microscope. Results H2S, CO, MDA content and CBS mRNA and HO-1 mRNA expression were significantly higher while GSH content and SOD activity were significantly lower in I/R group than in control group (sham operation) . CO content and HO-1 mRNA expression were significantly lower while H2S, GSH content and CBS mRNA expression were significantly higher in Z + I/R group than in I/R group. H2S, GSH content and CBS mRNA expression were significantly lower and CO content and HO-1 mRNA expression were significantly higher in H + I/R group than in I/R group. In Z + H + I/R group H2S, CO, GSH content, SOD activity and expression of HO-1 mRNA and CBS mRNA were significantly decreased whereas MDA content was significantly increased as compared with I/R group. Mitochondria in hippocampal neurons were severely damaged in group Ⅱ-Ⅴ and the damage was worst in group Z + H + I/R. Conclusion CBS/H2S and HO-1/CO systems can protect brain against I/R injury.