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Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients

PURPOSE: The purpose of this study was to determine whether macroscopic growth patterns had an impact on the prognosis of colorectal cancer (CRC) patients with different tumor–node–metastasis (TNM) stages and responses to chemotherapy in stage III patients. PATIENTS AND METHODS: We retrospectively r...

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Autores principales: Li, Xiao, Zhao, Qi, An, Bang, Qi, Jianni, Wang, Wenwen, Zhang, Di, Li, Zhen, Qin, Chengyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037271/
https://www.ncbi.nlm.nih.gov/pubmed/30013394
http://dx.doi.org/10.2147/CMAR.S165279
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author Li, Xiao
Zhao, Qi
An, Bang
Qi, Jianni
Wang, Wenwen
Zhang, Di
Li, Zhen
Qin, Chengyong
author_facet Li, Xiao
Zhao, Qi
An, Bang
Qi, Jianni
Wang, Wenwen
Zhang, Di
Li, Zhen
Qin, Chengyong
author_sort Li, Xiao
collection PubMed
description PURPOSE: The purpose of this study was to determine whether macroscopic growth patterns had an impact on the prognosis of colorectal cancer (CRC) patients with different tumor–node–metastasis (TNM) stages and responses to chemotherapy in stage III patients. PATIENTS AND METHODS: We retrospectively recruited 4,080 stage I–III CRC patients who underwent curative resection at Shandong Provincial Hospital affiliated to Shandong University. All patients were grouped by macroscopic growth patterns (expansive, infiltrative and ulcerative subtypes), and stage III patients were further divided into chemotherapy and nonchemotherapy groups. Kaplan–Meier methods, univariate and multivariate analyses and subset analyses were performed to assess the overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS). RESULTS: Kaplan–Meier survival curves and univariate analyses revealed better OS (HR=0.731; 95% CI=0.584–0.916), CSS (HR=0.714; 95% CI=0.548–0.932) and DFS (HR=0.722; 95% CI=0.602–0.864) in the expansive subtype and worse OS (HR=2.121; 95% CI=1.457–3.088), CSS (HR=2.499; 95% CI=1.664–3.753) and DFS (HR=2.360; 95% CI=1.756–3.170) in the infiltrative subtype. Subset analyses based on the tumor–node–metastasis stage showed that the infiltrative subtype was associated with inferior DFS in stage II (HR=2.357; 95% CI=1.210–4.595) and stage III patients (HR=1.941; 95% CI=1.394–2.702) and inferior OS and CSS in stage III patients (HR=1.805; 95% CI=1.210–2.693 and HR=1.981, 95% CI=1.280–3.065, respectively). In addition, multivariate Cox proportional hazard regression models revealed similar results. Furthermore, in stage III patients, the OS, CSS and DFS in both the expansive and ulcerative subtypes were significantly extended after the administration of chemotherapy (all, P<0.001). However, the OS, CSS and DFS in the infiltrative subtype did not change significantly after the administration of chemotherapy (P=0.486, 0.290 and 0.731, respectively). CONCLUSION: The macroscopic growth pattern was an independent prognostic factor among stage I–III CRC patients. The infiltrative subtype had the worst prognosis in stage III patients and did not display survival benefits from chemotherapy.
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spelling pubmed-60372712018-07-16 Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients Li, Xiao Zhao, Qi An, Bang Qi, Jianni Wang, Wenwen Zhang, Di Li, Zhen Qin, Chengyong Cancer Manag Res Original Research PURPOSE: The purpose of this study was to determine whether macroscopic growth patterns had an impact on the prognosis of colorectal cancer (CRC) patients with different tumor–node–metastasis (TNM) stages and responses to chemotherapy in stage III patients. PATIENTS AND METHODS: We retrospectively recruited 4,080 stage I–III CRC patients who underwent curative resection at Shandong Provincial Hospital affiliated to Shandong University. All patients were grouped by macroscopic growth patterns (expansive, infiltrative and ulcerative subtypes), and stage III patients were further divided into chemotherapy and nonchemotherapy groups. Kaplan–Meier methods, univariate and multivariate analyses and subset analyses were performed to assess the overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS). RESULTS: Kaplan–Meier survival curves and univariate analyses revealed better OS (HR=0.731; 95% CI=0.584–0.916), CSS (HR=0.714; 95% CI=0.548–0.932) and DFS (HR=0.722; 95% CI=0.602–0.864) in the expansive subtype and worse OS (HR=2.121; 95% CI=1.457–3.088), CSS (HR=2.499; 95% CI=1.664–3.753) and DFS (HR=2.360; 95% CI=1.756–3.170) in the infiltrative subtype. Subset analyses based on the tumor–node–metastasis stage showed that the infiltrative subtype was associated with inferior DFS in stage II (HR=2.357; 95% CI=1.210–4.595) and stage III patients (HR=1.941; 95% CI=1.394–2.702) and inferior OS and CSS in stage III patients (HR=1.805; 95% CI=1.210–2.693 and HR=1.981, 95% CI=1.280–3.065, respectively). In addition, multivariate Cox proportional hazard regression models revealed similar results. Furthermore, in stage III patients, the OS, CSS and DFS in both the expansive and ulcerative subtypes were significantly extended after the administration of chemotherapy (all, P<0.001). However, the OS, CSS and DFS in the infiltrative subtype did not change significantly after the administration of chemotherapy (P=0.486, 0.290 and 0.731, respectively). CONCLUSION: The macroscopic growth pattern was an independent prognostic factor among stage I–III CRC patients. The infiltrative subtype had the worst prognosis in stage III patients and did not display survival benefits from chemotherapy. Dove Medical Press 2018-07-04 /pmc/articles/PMC6037271/ /pubmed/30013394 http://dx.doi.org/10.2147/CMAR.S165279 Text en © 2018 Li et al. 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/). 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.
spellingShingle Original Research
Li, Xiao
Zhao, Qi
An, Bang
Qi, Jianni
Wang, Wenwen
Zhang, Di
Li, Zhen
Qin, Chengyong
Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title_full Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title_fullStr Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title_full_unstemmed Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title_short Prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 Chinese patients
title_sort prognostic and predictive value of the macroscopic growth pattern in patients undergoing curative resection of colorectal cancer: a single-institution retrospective cohort study of 4,080 chinese patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037271/
https://www.ncbi.nlm.nih.gov/pubmed/30013394
http://dx.doi.org/10.2147/CMAR.S165279
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