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A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients

Background: The incidence of esophagogastric junction adenocarcinoma (EJA) patients was increasing but their prognoses were poor. Blood-based predictive biomarkers were associated with prognosis. This study was to build a nomogram based on preoperative clinical laboratory blood biomarkers for predic...

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Autores principales: Liu, Can-Tong, Huang, Xin-Yi, Huang, Bin-Liang, Hong, Chao-Qun, Guo, Hai-Peng, Guo, Hong, Chu, Ling-Yu, Lin, Yi-Wei, Xu, Yi-Wei, Peng, Yu-Hui, Wu, Fang-Cai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266239/
https://www.ncbi.nlm.nih.gov/pubmed/37325058
http://dx.doi.org/10.7150/jca.83588
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author Liu, Can-Tong
Huang, Xin-Yi
Huang, Bin-Liang
Hong, Chao-Qun
Guo, Hai-Peng
Guo, Hong
Chu, Ling-Yu
Lin, Yi-Wei
Xu, Yi-Wei
Peng, Yu-Hui
Wu, Fang-Cai
author_facet Liu, Can-Tong
Huang, Xin-Yi
Huang, Bin-Liang
Hong, Chao-Qun
Guo, Hai-Peng
Guo, Hong
Chu, Ling-Yu
Lin, Yi-Wei
Xu, Yi-Wei
Peng, Yu-Hui
Wu, Fang-Cai
author_sort Liu, Can-Tong
collection PubMed
description Background: The incidence of esophagogastric junction adenocarcinoma (EJA) patients was increasing but their prognoses were poor. Blood-based predictive biomarkers were associated with prognosis. This study was to build a nomogram based on preoperative clinical laboratory blood biomarkers for predicting prognosis in curatively resected EJA. Methods: Curatively resected EJA patients, recruited between 2003 and 2017 in the Cancer Hospital of Shantou University Medical College, were divided chronologically into the training (n=465) and validation groups (n=289). Fifty markers, involving sociodemographic characteristics and preoperative clinical laboratory blood indicators, were screened for nomogram construction. Independent predictive factors were selected using Cox regression analysis and then were combined to build a nomogram to predict overall survival (OS). Results: Composed of 12 factors, including age, body mass index, platelets, aspartate aminotransferase-to-alanine transaminase ratio, alkaline phosphatase, albumin, uric acid, IgA, IgG, complement C3, complement factor B and systemic immune-inflammation index, we constructed a novel nomogram for OS prediction. In the training group, when combined with TNM system, it acquired a C-index of 0.71, better than using TNM system only (C-index: 0.62, p < 0.001). When applied in the validation group, the combined C-index was 0.70, also better than using TNM system (C-index: 0.62, p < 0.001). Calibration curves exhibited that the nomogram-predicted probabilities of 5-year OS were both in consistency with the actual 5-year OS in both groups. Kaplan-Meier analysis exhibited that patients with higher nomogram scores contained poorer 5-year OS than those with lower scores (p < 0.0001). Conclusions: In conclusion, the novel nomogram built based on preoperative blood indicators might be the potential prognosis prediction model of curatively resected EJA.
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spelling pubmed-102662392023-06-15 A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients Liu, Can-Tong Huang, Xin-Yi Huang, Bin-Liang Hong, Chao-Qun Guo, Hai-Peng Guo, Hong Chu, Ling-Yu Lin, Yi-Wei Xu, Yi-Wei Peng, Yu-Hui Wu, Fang-Cai J Cancer Research Paper Background: The incidence of esophagogastric junction adenocarcinoma (EJA) patients was increasing but their prognoses were poor. Blood-based predictive biomarkers were associated with prognosis. This study was to build a nomogram based on preoperative clinical laboratory blood biomarkers for predicting prognosis in curatively resected EJA. Methods: Curatively resected EJA patients, recruited between 2003 and 2017 in the Cancer Hospital of Shantou University Medical College, were divided chronologically into the training (n=465) and validation groups (n=289). Fifty markers, involving sociodemographic characteristics and preoperative clinical laboratory blood indicators, were screened for nomogram construction. Independent predictive factors were selected using Cox regression analysis and then were combined to build a nomogram to predict overall survival (OS). Results: Composed of 12 factors, including age, body mass index, platelets, aspartate aminotransferase-to-alanine transaminase ratio, alkaline phosphatase, albumin, uric acid, IgA, IgG, complement C3, complement factor B and systemic immune-inflammation index, we constructed a novel nomogram for OS prediction. In the training group, when combined with TNM system, it acquired a C-index of 0.71, better than using TNM system only (C-index: 0.62, p < 0.001). When applied in the validation group, the combined C-index was 0.70, also better than using TNM system (C-index: 0.62, p < 0.001). Calibration curves exhibited that the nomogram-predicted probabilities of 5-year OS were both in consistency with the actual 5-year OS in both groups. Kaplan-Meier analysis exhibited that patients with higher nomogram scores contained poorer 5-year OS than those with lower scores (p < 0.0001). Conclusions: In conclusion, the novel nomogram built based on preoperative blood indicators might be the potential prognosis prediction model of curatively resected EJA. Ivyspring International Publisher 2023-05-21 /pmc/articles/PMC10266239/ /pubmed/37325058 http://dx.doi.org/10.7150/jca.83588 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Liu, Can-Tong
Huang, Xin-Yi
Huang, Bin-Liang
Hong, Chao-Qun
Guo, Hai-Peng
Guo, Hong
Chu, Ling-Yu
Lin, Yi-Wei
Xu, Yi-Wei
Peng, Yu-Hui
Wu, Fang-Cai
A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title_full A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title_fullStr A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title_full_unstemmed A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title_short A novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
title_sort novel nomogram based on clinical blood indicators for prognosis prediction in curatively resected esophagogastric junction adenocarcinoma patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266239/
https://www.ncbi.nlm.nih.gov/pubmed/37325058
http://dx.doi.org/10.7150/jca.83588
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