scholarly journals Superiority of the 8th edition of the TNM staging system for predicting overall survival in gastric cancer: Comparative analysis of the 7th and 8th editions in a monoinstitutional cohort

2018 ◽  
Author(s):  
Hao Wang ◽  
Weihong Guo ◽  
Yanfeng Hu ◽  
Tingyu Mou ◽  
Liying Zhao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Comparative Analysis ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System ◽  
8Th Edition

scholarly journals Comparing prognostic values of the 7th and 8th editions of the American Joint Committee on Cancer TNM staging system for gastric cancer

2019 ◽  
Vol 35 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Ming-hua Zhu ◽  
Ke-cheng Zhang ◽  
Ze-long Yang ◽  
Zhi Qiao ◽  
Lin Chen
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Staging System ◽  
Tnm Staging ◽  
American Joint Committee ◽  
Tnm Staging System ◽  
Staging Systems ◽  
Gastric Cancer Patients ◽  
8Th Edition

Background and Aim: Our aim was to compare the prognostic value of the American Joint Committee on Cancer (AJCC) 7th and 8th editions staging systems for patients with gastric cancer in China. Methods: A total of 1326 gastric cancer patients diagnosed between 2008 and 2012 were included. The discriminative ability of the AJCC 8th and 7th editions was compared using the Harrell’s concordance index (C-index). Results: There are two main modifications in the 8th edition. (i) pN3 staging was divided into pN3a and pN3b. The gastric cancer patients with pN3a experienced significantly better overall survival compared with those with pN3b (5-year overall survival: 34.5% vs. 15.6%, P < 0.001) (stratified by pT: pT3: 5-year overall survival: 33.9% vs. 13.2%, P < 0.001; pT4a: 32.8% vs. 16.9%, P = 0.056; pT4b: 17.0% vs. 11.1%, P = 0.048). (ii) Subgroup staging adjustments. The subgroup staging adjustments (T3N3bM0 (IIIB→IIIC), T4aN3aM0 (IIIC→IIIB), T4bN0M0 (IIIB→IIIA), and T4bN2M0 (IIIC→IIIB)) resulted in more gastric cancer patients being accurately staged. Furthermore, the C-index value of the 8th edition tumor node metastasis (TNM) staging system was significantly higher than that of the AJCC 7th TNM staging system to predict the survival of gastric cancer patients (0.701 vs. 0.685, P < 0.001). Conclusions: The 8th edition of the TNM staging system is superior to the 7th edition staging system for prediction of survival of gastric cancer patients in China.

Assessment of the 8th edition of TNM staging system for gastric cancer: the results from the SEER and a single-institution database

2018 ◽  
Vol 14 (29) ◽  
pp. 3023-3035 ◽  
Author(s):  
Bochao Zhao ◽  
Jingting Zhang ◽  
Jiale Zhang ◽  
Rui Luo ◽  
Zhenning Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Staging System ◽  
Tnm Staging ◽  
Single Institution ◽  
Tnm Staging System ◽  
8Th Edition

Prediction of gastric cancer survival after gastrectomy using nomogram from 10,621 patients: Developed and validated using international databases.

2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 66-66
Author(s):  
Yanghee Woo ◽  
Woo Jin Hyung ◽  
Ki Jun Song ◽  
Yanfeng Hu ◽  
Naoki Okumura ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Staging System ◽  
Tnm Staging ◽  
Patient Specific ◽  
Data Sets ◽  
Data Set ◽  
Tnm System ◽  
Number Of Patients ◽  
Tnm Staging System

66 Background: Patient-specific prognosis for gastric cancer is difficult to determine. Internationally accepted AJCC TNM staging system currently provides the best framework for predicting a patient’s prognosis. However, a major weakness of the TNM system is that significant survival differences exist even within its subgroups. The objective of this study was to create a simple tool to accurately predict patient survival from gastric cancer after gastrectomy. Methods: Between December 1986 to March 2007, 10,621 patients were surgically treated for gastric cancer at a single institution and observed until death. A nomogram was determined using Cox proportional hazard regression for multivariate analysis and the Kaplan-Meier method for estimation of 5-year overall survival. Overall survival was the endpoint. The predicted probability of the nomogram for actual overall survival was compared to the 7th edition AJCC TNM staging system. Then, the nomogram was validated using external data sets from four different institutions from Korea, Japan, and China. The number of patients in each data set was 1573 (A), 297 (B), 78 (C) and 767 patients (D). Results: Variables selected for the prediction model included age, gender, depth of invasion, number of metastatic lymph nodes (LN), total number of LN retrieved, and the presence of distant metastasis. The newly developed nomogram more accurately predicted a gastric cancer patient’s overall 5-year survival than the 7th Edition AJCC TNM system (p=0.0024) with area under the curve 0.8023 (our nomogram) and 0.7869 (AJCC TNM staging system). The concordance indexes of the different validation sets were 0.824 (A), 0.835 (B), 0.916 (C), and 0.767 (D). Conclusions: Our simple nomogram requires minimal patient and tumor information. It accurately predicts the 5-year overall survival for a patient with gastric cancer after surgical resection. Already internationally validated with data sets of various sample sizes and from different countries, our new nomogram provides a useful tool for prognostication after gastrectomy with wide applicability in different patient populations and institutions.

Validation of the 8th Edition of the AJCC TNM Staging System for Gastric Cancer using the National Cancer Database

2017 ◽  
Vol 24 (12) ◽  
pp. 3683-3691 ◽  
Author(s):  
Haejin In ◽  
I. Solsky ◽  
B. Palis ◽  
M. Langdon-Embry ◽  
J. Ajani ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Staging System ◽  
Tnm Staging ◽  
National Cancer Database ◽  
Tnm Staging System ◽  
8Th Edition

scholarly journals Addition of sintilimab to nanoparticle albumin-bound paclitaxel and S-1 as adjuvant therapy in stage IIIC gastric cancer

2021 ◽  
Author(s):  
Yu Mei ◽  
Min Shi ◽  
Zhenglun Zhu ◽  
Hong Yuan ◽  
Chao Yan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Therapy ◽  
Staging System ◽  
Tnm Staging ◽  
Stage Iiic ◽  
Safety And Efficacy ◽  
Tnm Staging System ◽  
Relapse Pattern ◽  
The Common ◽  
8Th Edition

The prognosis of stage III gastric cancer (GC) is not satisfying and the specific chemotherapy regimens for GC of stage IIIC based on the 8th edition of the UICC/AJCC TNM staging system are still inconclusive. Peritoneal recurrence is the common and severe relapse pattern. Nanoparticle albumin-bound paclitaxel (Nab-PTX) is safer and more effective than PTX in the peritoneal metastasis. Clinical trial has demonstrated the safety and efficacy of sintilimab in GC. A combination of Nab-PTX, S-1 and sintilimab could be a promising triplet regimen as adjuvant therapy for GC. The aim of this article is to describe the design of this prospective Dragon-VII trial, conducted to evaluate the safety and efficacy of the combination of Nab-PTX, S-1 and sintilimab. Trial registration: NCT04781413

scholarly journals Comparison between 7th and 8th edition of AJCC TNM staging system for gastric cancer: old problems and new perspectives

2019 ◽  
Vol 4 ◽  
pp. 22-22 ◽  
Author(s):  
Luigi Marano ◽  
Alessia D’Ignazio ◽  
Federico Cammillini ◽  
Rossella Angotti ◽  
Mario Messina ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System ◽  
8Th Edition

Prognostic nomogram to predict overall survival for patients with perihilar cholangiocarcinoma: A population-based study of SEER database (Preprint)

2020 ◽  
Author(s):  
Chendong Wang
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Survival Outcome ◽  
Perihilar Cholangiocarcinoma ◽  
Cox Regression Analysis ◽  
Calibration Curves ◽  
Tnm Staging System ◽  
Net Benefits

BACKGROUND Perihilar cholangiocarcinoma (pCCA) is a highly aggressive malignancy with poor prognosis. Accurate prediction is of great significance for patients’ survival outcome. OBJECTIVE The present study aimed to propose a prognostic nomogram for predicting the overall survival (OS) for patients with pCCA. METHODS We conducted a retrospective analysis in a total of 940 patients enrolled from the Surveillance, Epidemiology, and End Results (SEER) program and developed a nomogram based on the prognostic factors identified from the cox regression analysis. Concordance index (C-index), risk group stratification and calibration curves were adopted to test the discrimination and calibration ability of the nomogram with bootstrap method. Decision curves were also plotted to evaluate net benefits in clinical use against TNM staging system. RESULTS On the basis of multivariate analysis, five independent prognostic factors including age, summary stage, surgery, chemotherapy, together with radiation were selected and entered into the nomogram model. The C-index of the model was significantly higher than TNM system in the training set (0.703 vs 0.572, P<0.001), which was also proved in the validation set (0.718 vs 0.588, P<0.001). The calibration curves for 1-, 2-, and 3-year OS probabilities exhibited good agreements between the nomogram-predicted and the actual observation. Decision curves displayed that the nomogram obtained more net benefits than TNM staging system in clinical context. The OS curves of two distinct risk groups stratified by nomogram-predicted survival outcome illustrated statistical difference. CONCLUSIONS We established and validated an easy-to-use prognostic nomogram, which can provide more accurate individualized prediction and assistance in decision making for pCCA patients.

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