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Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer

BACKGROUND AND OBJECTIVES: The prognosis is known to differ significantly among advanced gastric cancer (AGC) with Borrmann type III. This study aimed to evaluate the prognosis of these patients more individually. METHODS: We selected 542 AGC patients with Borrmann type III. We used the receiver ope...

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Autores principales: Wang, Hao, Yin, Xin, Ma, Keru, Wang, Yufei, Fang, Tianyi, Zhang, Yao, Xue, Yingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019083/
https://www.ncbi.nlm.nih.gov/pubmed/36936348
http://dx.doi.org/10.2147/JIR.S404585
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author Wang, Hao
Yin, Xin
Ma, Keru
Wang, Yufei
Fang, Tianyi
Zhang, Yao
Xue, Yingwei
author_facet Wang, Hao
Yin, Xin
Ma, Keru
Wang, Yufei
Fang, Tianyi
Zhang, Yao
Xue, Yingwei
author_sort Wang, Hao
collection PubMed
description BACKGROUND AND OBJECTIVES: The prognosis is known to differ significantly among advanced gastric cancer (AGC) with Borrmann type III. This study aimed to evaluate the prognosis of these patients more individually. METHODS: We selected 542 AGC patients with Borrmann type III. We used the receiver operating characteristic curve to analyze the cutoff values of inflammation indexes, and used Kaplan–Meier and Log rank tests to analyze recurrence-free survival (RFS) and overall survival (OS). The independent risk factors for recurrence and prognosis were analyzed by Cox proportional hazards regression model. The nomogram models were constructed by R studio. RESULTS: Patients with high preoperative fibrinogen (F) and systemic immune-inflammation index (SII) levels had worse RFS and OS and higher risk of postoperative locoregional recurrence, hematogenous metastasis and lymph node metastasis. F and SII can combine with different clinicopathological features (all P<0.05) to construct nomograms to predict 5-year recurrence and prognosis, which both were superior to pTNM stage alone. CONCLUSION: The nomogram models based on F and SII can evaluate AGC with Borrmann type III postoperative recurrence and prognosis.
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spelling pubmed-100190832023-03-17 Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer Wang, Hao Yin, Xin Ma, Keru Wang, Yufei Fang, Tianyi Zhang, Yao Xue, Yingwei J Inflamm Res Original Research BACKGROUND AND OBJECTIVES: The prognosis is known to differ significantly among advanced gastric cancer (AGC) with Borrmann type III. This study aimed to evaluate the prognosis of these patients more individually. METHODS: We selected 542 AGC patients with Borrmann type III. We used the receiver operating characteristic curve to analyze the cutoff values of inflammation indexes, and used Kaplan–Meier and Log rank tests to analyze recurrence-free survival (RFS) and overall survival (OS). The independent risk factors for recurrence and prognosis were analyzed by Cox proportional hazards regression model. The nomogram models were constructed by R studio. RESULTS: Patients with high preoperative fibrinogen (F) and systemic immune-inflammation index (SII) levels had worse RFS and OS and higher risk of postoperative locoregional recurrence, hematogenous metastasis and lymph node metastasis. F and SII can combine with different clinicopathological features (all P<0.05) to construct nomograms to predict 5-year recurrence and prognosis, which both were superior to pTNM stage alone. CONCLUSION: The nomogram models based on F and SII can evaluate AGC with Borrmann type III postoperative recurrence and prognosis. Dove 2023-03-12 /pmc/articles/PMC10019083/ /pubmed/36936348 http://dx.doi.org/10.2147/JIR.S404585 Text en © 2023 Wang 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
Wang, Hao
Yin, Xin
Ma, Keru
Wang, Yufei
Fang, Tianyi
Zhang, Yao
Xue, Yingwei
Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title_full Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title_fullStr Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title_full_unstemmed Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title_short Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer
title_sort nomogram based on preoperative fibrinogen and systemic immune-inflammation index predicting recurrence and prognosis of patients with borrmann type iii advanced gastric cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019083/
https://www.ncbi.nlm.nih.gov/pubmed/36936348
http://dx.doi.org/10.2147/JIR.S404585
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