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A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy

PURPOSE: This study aimed to study the prognostic value of clinicopathological data, inflammation and nutritional indicators, and to design an effective prognostic nomogram and heat map to predict cancer-specific survival (CSS) and disease-free survival (DFS) of stage II/III GC patients who underwen...

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Autores principales: Shi, Litong, Wang, Zehua, Wang, Lei, Jia, Yongxu, Li, Jing, Qin, Yanru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800584/
https://www.ncbi.nlm.nih.gov/pubmed/35115828
http://dx.doi.org/10.2147/CMAR.S348890
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author Shi, Litong
Wang, Zehua
Wang, Lei
Jia, Yongxu
Li, Jing
Qin, Yanru
author_facet Shi, Litong
Wang, Zehua
Wang, Lei
Jia, Yongxu
Li, Jing
Qin, Yanru
author_sort Shi, Litong
collection PubMed
description PURPOSE: This study aimed to study the prognostic value of clinicopathological data, inflammation and nutritional indicators, and to design an effective prognostic nomogram and heat map to predict cancer-specific survival (CSS) and disease-free survival (DFS) of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. PATIENTS AND METHODS: We retrospectively analyzed the data of 611 patients with stage II/III GC after curative gastrectomy followed by adjuvant chemotherapy from 3 GC disease centers. Patients were divided into a training cohort (n = 503) and an external validation cohort (n = 108). Nomograms were established based on independent predictors identified by Cox regression analysis in the training cohort. The consistency index (C-index) and the calibration curve were used to evaluate the discriminative ability and accuracy of the nomogram. Heat maps were constructed with the prognostic factors and the corresponding survival probability. We further divided the patients into low-risk and high-risk groups based on the risk score of the nomogram. RESULTS: Through univariate and multivariate survival analysis, the independent risk factors common to CSS and DFS were identified. Then these predictors were incorporated into the nomograms, and the established nomograms used to predict CSS and DFS had high discriminative power in the training cohort. Meanwhile, the calibration curves of CSS and DFS probability also showed good agreement between the prediction based on the nomograms and the actual observation results. The above independent predictors were applied to establish heat maps. Compared with low-risk patients, the high-risk patients calculated according to the nomogram had a shorter survival time and a worse prognosis. CONCLUSION: We established a nomogram and heat map, which could be used to assess the survival rate of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. These tools had high prognostic prediction accuracy and provided inspiration for clinical decision-making.
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spelling pubmed-88005842022-02-02 A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy Shi, Litong Wang, Zehua Wang, Lei Jia, Yongxu Li, Jing Qin, Yanru Cancer Manag Res Original Research PURPOSE: This study aimed to study the prognostic value of clinicopathological data, inflammation and nutritional indicators, and to design an effective prognostic nomogram and heat map to predict cancer-specific survival (CSS) and disease-free survival (DFS) of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. PATIENTS AND METHODS: We retrospectively analyzed the data of 611 patients with stage II/III GC after curative gastrectomy followed by adjuvant chemotherapy from 3 GC disease centers. Patients were divided into a training cohort (n = 503) and an external validation cohort (n = 108). Nomograms were established based on independent predictors identified by Cox regression analysis in the training cohort. The consistency index (C-index) and the calibration curve were used to evaluate the discriminative ability and accuracy of the nomogram. Heat maps were constructed with the prognostic factors and the corresponding survival probability. We further divided the patients into low-risk and high-risk groups based on the risk score of the nomogram. RESULTS: Through univariate and multivariate survival analysis, the independent risk factors common to CSS and DFS were identified. Then these predictors were incorporated into the nomograms, and the established nomograms used to predict CSS and DFS had high discriminative power in the training cohort. Meanwhile, the calibration curves of CSS and DFS probability also showed good agreement between the prediction based on the nomograms and the actual observation results. The above independent predictors were applied to establish heat maps. Compared with low-risk patients, the high-risk patients calculated according to the nomogram had a shorter survival time and a worse prognosis. CONCLUSION: We established a nomogram and heat map, which could be used to assess the survival rate of stage II/III GC patients who underwent curative gastrectomy with adjuvant chemotherapy. These tools had high prognostic prediction accuracy and provided inspiration for clinical decision-making. Dove 2022-01-25 /pmc/articles/PMC8800584/ /pubmed/35115828 http://dx.doi.org/10.2147/CMAR.S348890 Text en © 2022 Shi et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Shi, Litong
Wang, Zehua
Wang, Lei
Jia, Yongxu
Li, Jing
Qin, Yanru
A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title_full A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title_fullStr A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title_full_unstemmed A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title_short A Prognostic Nomogram and Heat Map to Predict Survival in Stage II/III Gastric Cancer Patients After Curative Gastrectomy Followed by Adjuvant Chemotherapy
title_sort prognostic nomogram and heat map to predict survival in stage ii/iii gastric cancer patients after curative gastrectomy followed by adjuvant chemotherapy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800584/
https://www.ncbi.nlm.nih.gov/pubmed/35115828
http://dx.doi.org/10.2147/CMAR.S348890
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