Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive bioma...Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive biomarker to predict and treat for re-currence of EGC. Methods: This study retrospectively analyzed 178 early gastric cancer patients who had the complete post-operative and follow-up medical records in the First Affiliated Hospital of Yangtze University (China) between January 1995 to December 2005. All of them were followed-up to December 2009 regularly. Computer tomography (CT), endoscopy, and single photon emission computed tomography (SPET-CT) were used to diagnose for recurrence of EGC. Immunohistochem-istry (IHC) and fluorescence in situ hybridization (FISH) were used for the detection of cerbB2. Chi-square test was applied to this study for statistics analysis. Results: Fourteen patients had recurrence. Eighteen patients were cerbB2-positive, including twelve recurrence patients and six norecurrence patients. Sex, tumor depth, and lymph node metastasis were related to the recurrence of EGC. Also, cerbB2-positive patients had the higher recurrence rate compared to the cerbB2-negative patients. Conclusion: Recurrence of EGC after curative resection can be predicted by using some clinicopathological characteristics. CerbB2 can be used as a predictive biomarker for recurrence of EGC.展开更多
Background:The prognosis for patients with colorectal-cancer liver metastases(CRLM)after curative surgery remains poor and shows great heterogeneity.Early recurrence,defined as tumor recurrence within 6 months of cura...Background:The prognosis for patients with colorectal-cancer liver metastases(CRLM)after curative surgery remains poor and shows great heterogeneity.Early recurrence,defined as tumor recurrence within 6 months of curative surgery,is associated with poor survival,requiring earlier detection and intervention.This study aimed to develop and validate a bedside model based on clinical parameters to predict early recurrence in CRLM patients and provide insight into post-operative surveillance strategies.Material and methods:A total of 202 consecutive CRLM patients undergoing curative surgeries between 2012 and 2019 were retrospectively enrolled and randomly assigned to the training(n=150)and validation(n=52)sets.Baseline information and radiological,pathological,and laboratory findings were extracted from medical records.Predictive factors for early recurrence were identified via a multivariate logistic-regression model to develop a predictive nomogram,which was validated for discrimination,calibration,and clinical application.Results:Liver-metastases number,lymph-node suspicion,neurovascular invasion,colon/rectum location,albumin and post-operative carcinoembryonic antigen,and carbohydrate antigen 19–9 levels(CA19–9)were independent predictive factors and were used to construct the nomogramfor early recurrence after curative surgery.The area under the curve was 0.866 and 0.792 for internal and external validation,respectively.The model significantly outperformed the clinical risk score and Beppu’s model in our data set.In the lift curve,the nomogram boosted the detection rate in post-operative surveillance by two-fold in the top 30%high-risk patients.Conclusion:Our model for early recurrence in CRLM patients after curative surgeries showed superior performance and could aid in the decision-making for selective follow-up strategies.展开更多
文摘Objective: The aim of this study was to identify the correlation between the clinicopathological characteristics and recurrence in early gastric cancer (EGC), what's more, we attempt to look for a predictive biomarker to predict and treat for re-currence of EGC. Methods: This study retrospectively analyzed 178 early gastric cancer patients who had the complete post-operative and follow-up medical records in the First Affiliated Hospital of Yangtze University (China) between January 1995 to December 2005. All of them were followed-up to December 2009 regularly. Computer tomography (CT), endoscopy, and single photon emission computed tomography (SPET-CT) were used to diagnose for recurrence of EGC. Immunohistochem-istry (IHC) and fluorescence in situ hybridization (FISH) were used for the detection of cerbB2. Chi-square test was applied to this study for statistics analysis. Results: Fourteen patients had recurrence. Eighteen patients were cerbB2-positive, including twelve recurrence patients and six norecurrence patients. Sex, tumor depth, and lymph node metastasis were related to the recurrence of EGC. Also, cerbB2-positive patients had the higher recurrence rate compared to the cerbB2-negative patients. Conclusion: Recurrence of EGC after curative resection can be predicted by using some clinicopathological characteristics. CerbB2 can be used as a predictive biomarker for recurrence of EGC.
基金supported by the Key Technology Research and Development Program of Zhejiang Province [No.2017C03017]the National Natural Science Foundation of China [81672916,11932017,81802750]+2 种基金the Natural Science Foundation of Zhejiang Province [LQ20H180014 to Y.Y.]the China Postdoctoral Science Foundation [2019M652117 to Y.Y.]the Natural Science Foundation of Zhejiang Province [LBY20H160002].
文摘Background:The prognosis for patients with colorectal-cancer liver metastases(CRLM)after curative surgery remains poor and shows great heterogeneity.Early recurrence,defined as tumor recurrence within 6 months of curative surgery,is associated with poor survival,requiring earlier detection and intervention.This study aimed to develop and validate a bedside model based on clinical parameters to predict early recurrence in CRLM patients and provide insight into post-operative surveillance strategies.Material and methods:A total of 202 consecutive CRLM patients undergoing curative surgeries between 2012 and 2019 were retrospectively enrolled and randomly assigned to the training(n=150)and validation(n=52)sets.Baseline information and radiological,pathological,and laboratory findings were extracted from medical records.Predictive factors for early recurrence were identified via a multivariate logistic-regression model to develop a predictive nomogram,which was validated for discrimination,calibration,and clinical application.Results:Liver-metastases number,lymph-node suspicion,neurovascular invasion,colon/rectum location,albumin and post-operative carcinoembryonic antigen,and carbohydrate antigen 19–9 levels(CA19–9)were independent predictive factors and were used to construct the nomogramfor early recurrence after curative surgery.The area under the curve was 0.866 and 0.792 for internal and external validation,respectively.The model significantly outperformed the clinical risk score and Beppu’s model in our data set.In the lift curve,the nomogram boosted the detection rate in post-operative surveillance by two-fold in the top 30%high-risk patients.Conclusion:Our model for early recurrence in CRLM patients after curative surgeries showed superior performance and could aid in the decision-making for selective follow-up strategies.
