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Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort
PURPOSE: While several prognostic models for the stratification of death risk have been developed for patients with advanced gastric cancer receiving first-line chemotherapy, they have seldom been tested in the Chinese population. This study investigated the performance of these models and identifie...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Gastric Cancer Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505122/ https://www.ncbi.nlm.nih.gov/pubmed/34691811 http://dx.doi.org/10.5230/jgc.2021.21.e26 |
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author | Xu, Hui Zhang, Xiaopeng Wu, Zhijun Feng, Ying Zhang, Cheng Xie, Minmin Yang, Yahui Zhang, Yi Feng, Chong Ma, Tai |
author_facet | Xu, Hui Zhang, Xiaopeng Wu, Zhijun Feng, Ying Zhang, Cheng Xie, Minmin Yang, Yahui Zhang, Yi Feng, Chong Ma, Tai |
author_sort | Xu, Hui |
collection | PubMed |
description | PURPOSE: While several prognostic models for the stratification of death risk have been developed for patients with advanced gastric cancer receiving first-line chemotherapy, they have seldom been tested in the Chinese population. This study investigated the performance of these models and identified the optimal tools for Chinese patients. MATERIALS AND METHODS: Patients diagnosed with metastatic or recurrent gastric adenocarcinoma who received first-line chemotherapy were eligible for inclusion in the validation cohort. Their clinical data and survival outcomes were retrieved and documented. Time-dependent receiver operating characteristic (ROC) and calibration curves were used to evaluate the predictive ability of the models. Kaplan-Meier curves were plotted for patients in different risk groups divided by 7 published stratification tools. Log-rank tests with pairwise comparisons were used to compare survival differences. RESULTS: The analysis included a total of 346 patients with metastatic or recurrent disease. The median overall survival time was 11.9 months. The patients were different into different risk groups according to the prognostic stratification models, which showed variability in distinguishing mortality risk in these patients. The model proposed by Kim et al. showed relative higher predicting abilities compared to the other models, with the highest χ(2) (25.8) value in log-rank tests across subgroups, and areas under the curve values at 6, 12, and 24 months of 0.65 (95% confidence interval [CI]: 0.59–0.72), 0.60 (0.54–0.65), and 0.63 (0.56–0.69), respectively. CONCLUSIONS: Among existing prognostic tools, the models constructed by Kim et al., which incorporated performance status score, neutrophil-to-lymphocyte ratio, alkaline phosphatase, albumin, and tumor differentiation, were more effective in stratifying Chinese patients with gastric cancer receiving first-line chemotherapy. |
format | Online Article Text |
id | pubmed-8505122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Korean Gastric Cancer Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-85051222021-10-22 Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort Xu, Hui Zhang, Xiaopeng Wu, Zhijun Feng, Ying Zhang, Cheng Xie, Minmin Yang, Yahui Zhang, Yi Feng, Chong Ma, Tai J Gastric Cancer Original Article PURPOSE: While several prognostic models for the stratification of death risk have been developed for patients with advanced gastric cancer receiving first-line chemotherapy, they have seldom been tested in the Chinese population. This study investigated the performance of these models and identified the optimal tools for Chinese patients. MATERIALS AND METHODS: Patients diagnosed with metastatic or recurrent gastric adenocarcinoma who received first-line chemotherapy were eligible for inclusion in the validation cohort. Their clinical data and survival outcomes were retrieved and documented. Time-dependent receiver operating characteristic (ROC) and calibration curves were used to evaluate the predictive ability of the models. Kaplan-Meier curves were plotted for patients in different risk groups divided by 7 published stratification tools. Log-rank tests with pairwise comparisons were used to compare survival differences. RESULTS: The analysis included a total of 346 patients with metastatic or recurrent disease. The median overall survival time was 11.9 months. The patients were different into different risk groups according to the prognostic stratification models, which showed variability in distinguishing mortality risk in these patients. The model proposed by Kim et al. showed relative higher predicting abilities compared to the other models, with the highest χ(2) (25.8) value in log-rank tests across subgroups, and areas under the curve values at 6, 12, and 24 months of 0.65 (95% confidence interval [CI]: 0.59–0.72), 0.60 (0.54–0.65), and 0.63 (0.56–0.69), respectively. CONCLUSIONS: Among existing prognostic tools, the models constructed by Kim et al., which incorporated performance status score, neutrophil-to-lymphocyte ratio, alkaline phosphatase, albumin, and tumor differentiation, were more effective in stratifying Chinese patients with gastric cancer receiving first-line chemotherapy. The Korean Gastric Cancer Association 2021-09 2021-09-28 /pmc/articles/PMC8505122/ /pubmed/34691811 http://dx.doi.org/10.5230/jgc.2021.21.e26 Text en Copyright © 2021. Korean Gastric Cancer Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Xu, Hui Zhang, Xiaopeng Wu, Zhijun Feng, Ying Zhang, Cheng Xie, Minmin Yang, Yahui Zhang, Yi Feng, Chong Ma, Tai Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title | Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title_full | Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title_fullStr | Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title_full_unstemmed | Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title_short | Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort |
title_sort | performances of prognostic models in stratifying patients with advanced gastric cancer receiving first-line chemotherapy: a validation study in a chinese cohort |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505122/ https://www.ncbi.nlm.nih.gov/pubmed/34691811 http://dx.doi.org/10.5230/jgc.2021.21.e26 |
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