scholarly journals A nomogram based on Aspartate Aminotransferase/Alanine Aminotransferase (AST/ALT) ratio after surgery to predict the prognostic value in patients with gastric cancer

2020 ◽  
Author(s):  
Linfang Li ◽  
Shan Xing ◽  
Ning Xue ◽  
Miantao Wu ◽  
Yaqing Liang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Cox Regression ◽  
Staging System ◽  
Tnm Staging ◽  
Calibration Plot ◽  
Study Cohort ◽  
Tnm Staging System ◽  
Resectable Gastric Cancer

Abstract Background This study aimed to develop an effective nomogram for predicting overall survival (OS) in surgically treated gastric cancer. Methods We retrospectively evaluated 190 gastric cancer in this study. Cox regression analyses were performed to identify significant prognostic factors for OS in patients with resectable gastric cancer. The predictive accuracy of nomogram was assessed by calibration plot, concordance index (C-index) and decision curve, and then were compared with the traditional TNM staging system. Based on the total points (TPS) by nomogram, we further divided patients into different risk groups. Results On multivariate analysis of the 190 cohort, independent factors for survival were age, clinical stage and Aspartate Aminotransferase/Alanine Aminotransferase (SLR), which were entered into the nomogram. The calibration curve for the probability of OS showed that the nomogram-based predictions were in good agreement with actual observations. And the C-index of the established nomogram for predicting OS had a superior discrimination power compared with the TNM staging system [0.768 (95% CI: 0.725-0.810) vs 0.730 (95% CI: 0.688-0.772), p < 0.05]. Decision curve also demonstrated that the nomogram was better than TNM staging system. Based on the TPS of the nomogram, we further subdivided the study cohort into 3 groups: low risk (TPS ≤ 158), middle risk (158 < TPS ≤ 188), high risk (TPS > 188), the differences of OS rate were significant in the groups. Conclusions The established nomogram resulted in more accurate prognostic prediction for individual patient with resectable gastric cancer.

scholarly journals A Nomogram Based on Aspartate Aminotransferase/Alanine Aminotransferase (AST/ALT) Ratio to Predict Prognosis After Surgery in Gastric Cancer Patients

2020 ◽  
Vol 27 (1) ◽  
pp. 107327482095445
Author(s):  
Linfang Li ◽  
Qiuyao Zeng ◽  
Ning Xue ◽  
Miantao Wu ◽  
Yaqing Liang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Cox Regression ◽  
Staging System ◽  
Tnm Staging ◽  
Study Cohort ◽  
Cox Regression Analysis ◽  
Tnm Staging System ◽  
Resectable Gastric Cancer

Introduction: Using the TMN classification alone to predict survival in patients with gastric cancer has certain limitations, we conducted this study was to develop an effective nomogram based on aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio to predict overall survival (OS) in surgically treated gastric cancer. Methods: we retrospectively analyzed 190 cases of gastric cancer and used Cox regression analysis to identify the significant prognostic factors for OS in patients with resectable gastric cancer. The predictive accuracy of nomogram was assessed using a calibration plot, concordance index (C-index) and decision curve. This was then compared with a traditional TNM staging system. Based on the total points (TPS) by nomogram, we further divided patients into different risk groups. Results: multivariate analysis of the entire cohort revealed that independent risk factors for survival were age, clinical stage and AST/ALT ratio, which were entered then into the nomogram. The calibration curve for the probability of OS showed that the nomogram-based predictions were in good agreement with actual observations. Additionally, the C-index of the established nomogram for predicting OS had a superior discrimination power compared to the TNM staging system [0.794 (95% CI: 0.749-0.839) vs 0.730 (95% CI: 0.688-0.772), p < 0.05]. Decision curve also demonstrated that the nomogram was better than the TNM staging system. Based on TPS of the nomogram, we further subdivided the study cohort into 3 groups including low risk (TPS ≤ 158), middle risk (158 < TPS ≤ 188) and high risk (TPS > 188) categories. The differences in OS rate were significant among the groups. Conclusion: the established nomogram is associated with a more accurate prognostic prediction for individual patients with resectable gastric cancer.

Evaluation of the seventh AJCC TNM staging system for gastric cancer: a meta-analysis of cohort studies

Tumor Biology ◽  
2014 ◽  
Vol 35 (9) ◽  
pp. 8525-8532 ◽  
Author(s):  
Jizhun Zhang ◽  
Yangbing Zhou ◽  
Kewei Jiang ◽  
Zhanlong Shen ◽  
Yingjiang Ye ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System

scholarly journals Is Preoperative Fibrinogen Associated with the Survival Prognosis of Gastric Cancer Patients? A Multi-centered, Propensity Score-Matched Retrospective Study

2019 ◽  
Vol 44 (1) ◽  
pp. 213-222
Author(s):  
Lin-Yong Zhao ◽  
Yong-Liang Zhao ◽  
Jun-Jiang Wang ◽  
Qi-Di Zhao ◽  
Wen-Qi Yi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Propensity Score ◽  
Cancer Patients ◽  
Prognostic Significance ◽  
Staging System ◽  
Tnm Staging ◽  
Plasma Fibrinogen ◽  
Tnm Staging System ◽  
N Stage ◽  
Gastric Cancer Patients

Abstract Background The prognostic significance of preoperative plasma fibrinogen in patients with operable gastric cancer remains under debate. This study aimed to elucidate the prognostic value of fibrinogen in gastric cancer patients underwent gastrectomy. Methods A total of 4351 patients with gastric cancer collected from three comprehensive medical centers were retrospectively evaluated. Patients were categorized by minimum P value using X-tile, while the baseline confounders for fibrinogen was balanced through propensity score matching (PSM). The relationships between fibrinogen and other clinicopathologic features were evaluated, and nomogram was constructed to assess its prognostic improvement compared with TNM staging system. Results Fibrinogen was significantly correlated with macroscopic type, tumor differentiation, tumor size, and T and N stage. The factors, fibrinogen and T stage as well as N stage, were identified to be independent prognostic factors after PSM. Nomogram based on fibrinogen demonstrated a smaller Akaike information criterion (AIC) and a larger concordance index (C-index) than TNM staging system, illustrating that fibrinogen might be able to improve the prognostic accuracy. Conclusions Preoperative plasma fibrinogen levels in gastric cancer patients were significantly correlated with tumor progression, which could be regarded as a reliable marker for survival prognostic prediction.

scholarly journals Development and validation of a prognostic nomogram for predicting overall survival in patients with primary bladder sarcoma: a SEER-based retrospective study

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shijie Li ◽  
Xuefeng Liu ◽  
Xiaonan Chen
Keyword(s):  
Overall Survival ◽  
Risk Stratification ◽  
Cox Regression ◽  
Staging System ◽  
Tnm Staging ◽  
Calibration Curves ◽  
Tnm Staging System ◽  
Primary Bladder ◽  
Stratification System ◽  
Risk Stratification System

Abstract Background Primary bladder sarcoma (PBS) is a rare malignant tumor of the bladder with a poor prognosis, and its disease course is inadequately understood. Therefore, our study aimed to establish a prognostic model to determine individualized prognosis of patients with PBS. Patients and Methods Data of 866 patients with PBS, registered from 1973 to 2015, were extracted from the surveillance, epidemiology, and end result (SEER) database. The patients included were randomly split into a training (n = 608) and a validation set (n = 258). Univariate and multivariate Cox regression analyses were employed to identify the important independent prognostic factors. A nomogram was then established to predict overall survival (OS). Using calibration curves, receiver operating characteristic curves, concordance index (C-index), decision curve analysis (DCA), net reclassification improvement (NRI) and integrated discrimination improvement (IDI), the performance of the nomogram was internally validated. We compared the nomogram with the TNM staging system. The application of the risk stratification system was tested using Kaplan–Meier survival analysis. Results Age at diagnosis, T-stage, N-stage, M-stage, and tumor size were identified as independent predictors of OS. C-index of the training cohort were 0.675, 0.670, 0.671 for 1-, 3- and 5-year OS, respectively. And that in the validation cohort were 0.701, 0.684, 0.679, respectively. Calibration curves also showed great prediction accuracy. In comparison with TNM staging system, improved net benefits in DCA, evaluated NRI and IDI were obtained. The risk stratification system can significantly distinguish the patients with different survival risk. Conclusion A prognostic nomogram was developed and validated in the present study to predict the prognosis of the PBS patients. It may assist clinicians in evaluating the risk factors of patients and formulating an optimal individualized treatment strategy.

scholarly journals Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Jianguo Lai ◽  
Bo Chen ◽  
Guochun Zhang ◽  
Xuerui Li ◽  
Hsiaopei Mok ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Stratification ◽  
Cox Regression ◽  
Predictive Accuracy ◽  
Expression Profiles ◽  
Treatment Strategies ◽  
Staging System ◽  
Tnm Staging ◽  
The Cancer Genome Atlas ◽  
Tnm Staging System

Abstract Background Accumulating evidence has demonstrated that immune-related lncRNAs (IRLs) are commonly aberrantly expressed in breast cancer (BC). Thus, we aimed to establish an IRL-based tool to improve prognosis prediction in BC patients. Methods We obtained IRL expression profiles in large BC cohorts (N = 911) from The Cancer Genome Atlas (TCGA) database. Then, in light of the correlation between each IRL and recurrence-free survival (RFS), we screened prognostic IRL signatures to construct a novel RFS nomogram via a Cox regression model. Subsequently, the performance of the IRL-based model was evaluated through discrimination, calibration ability, risk stratification ability and decision curve analysis (DCA). Results A total of 52 IRLs were obtained from TCGA. Based on multivariate Cox regression analyses, four IRLs (A1BG-AS1, AC004477.3, AC004585.1 and AC004854.2) and two risk parameters (tumor subtype and TNM stage) were utilized as independent indicators to develop a novel prognostic model. In terms of predictive accuracy, the IRL-based model was distinctly superior to the TNM staging system (AUC: 0.728 VS 0.673, P = 0.010). DCA indicated that our nomogram had favorable clinical practicability. In addition, risk stratification analysis showed that the IRL-based tool efficiently divided BC patients into high- and low-risk groups (P < 0.001). Conclusions A novel IRL-based model was constructed to predict the risk of 5-year RFS in BC. Our model can improve the predictive power of the TNM staging system and identify high-risk patients with tumor recurrence to implement more appropriate treatment strategies.

Prognostic value of subclassification of pT2 stage in patients with gastric cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16070-e16070
Author(s):  
Kang He ◽  
Xiaohua Wang ◽  
Cheng Chen ◽  
Yingying Jiang ◽  
Yue Shi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Tumor Invasion ◽  
Radical Surgery ◽  
Muscularis Propria ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System ◽  
Pn Stage ◽  
Better Than

e16070 Background: The data about prognosis difference of patients with pT2 stage gastric cancer (GC) after radical surgery is diverse. The latest TNM staging system does not define details for the pT2 stage subclassification. The purpose of this study is to investigate the survival difference according to depth of tumor muscularis propria involvement and find biomarker to reinforce the prognostic and therapy-guided ability of TNM staging system. Methods: A total of 380 patients with pT2 GC after radical surgery were retrospectively analyzed, including 185 in sMP (superficial muscularis propria) group and 195 in dMP (deep muscularis propria) group. The log-rank test was used to identify survival outcomes. Independent factors were identified by multivariable Cox proportional hazard model for OS. Results: The overall survival (OS) of patients in sMP group was significantly better than patients in dMP group (P = 0.007). On multivariate analysis, age (＜60 vs ≥60: P = 0.004, HR, 2.075(95%CI: 1.261-3.414)), primary location (P = 0.002, U vs M: 0.985(0.509-1.909); U vs L: 0.400(0.235-0.680)), depth of tumor invasion (sMP vs dMP: P = 0.050, 1.584(1.261-3.414), pN stage (P = 0.000, N0 vs N1: 2.304(1.364-3.890); N0 vs N2: 1.879(0.967-3.652); N0 vs N3: 5.335(2.533-11.237)), expression of p53 (negative vs positive: P = 0.016, 1.793(1.117-2.879)) were independent prognostic factors for the OS. In pN0 stage tumor, the sMP group had a significantly better OS than the dMP group (P = 0.014). When classified as N+, there was no obviously difference of OS between two groups (P = 0.384). When patients were stratified according to the depth of tumor invasion and pN stage, the OS was not significant difference between dMPN0 group and sMPN1-2 group (P = 0.100), the OS of patients with adjuvant chemotherapy were statistically better than those without in dMPN0 group (P = 0.045), but not significance in sMPN1-2 group (P = 0.486). After further grouping according to adjuvant chemotherapy status, in comparison to sMPN1-2 patients, dMPN0 patients with adjuvant chemotherapy had better OS (P = 0.015), but not significance in patients without (P = 0.599). Upon stratification according to the expression of p53, in p53-positive group, greater OS could be observed in patients with sMPN0 than patients with dMPN0 (P = 0.002). Similar OS could be seen between dMPN0 patients with p53-positive and T2N1-2 patients (P = 0.872). Conclusions: For pT2 gastric cancer patients, there were differences in survival outcomes for sMP and dMP invasion. The prognosis of dMPN0 patients were similar to patients with sMPN1-2, and dMPN0 patients who accepted adjuvant chemotherapy had an improved prognosis than those without. Appropriate adjuvant chemotherapy should be considered for patients with dMPN0 stage. In addition, positive expression of p53 could be potential factors to identify the different prognoses for patients with pT2 gastric cancers.

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