Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study

IntroductionThe occurrence of metastasis is a threat to patients with colon cancer (CC), and the liver is the most common metastasis organ. However, the role of the extrahepatic organs in patients with liver metastasis (LM) has not been distinctly demonstrated. Therefore, this research aimed to expl...

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Main Authors: Shuheng Bai, Ling Chen, Guixian Zhu, Wang Xuan, Fengyuan Hu, Wanyi Liu, Wenyang Li, Ning Lan, Min Chen, Yanli Yan, Rong Li, Yiping Yang, Juan Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1172670/full
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author Shuheng Bai
Ling Chen
Guixian Zhu
Wang Xuan
Fengyuan Hu
Wanyi Liu
Wenyang Li
Ning Lan
Min Chen
Yanli Yan
Rong Li
Yiping Yang
Juan Ren
author_facet Shuheng Bai
Ling Chen
Guixian Zhu
Wang Xuan
Fengyuan Hu
Wanyi Liu
Wenyang Li
Ning Lan
Min Chen
Yanli Yan
Rong Li
Yiping Yang
Juan Ren
author_sort Shuheng Bai
collection DOAJ
description IntroductionThe occurrence of metastasis is a threat to patients with colon cancer (CC), and the liver is the most common metastasis organ. However, the role of the extrahepatic organs in patients with liver metastasis (LM) has not been distinctly demonstrated. Therefore, this research aimed to explore the prognostic value of extrahepatic metastases (EHMs).MethodsIn this retrospective study, a total of 13,662 colon patients with LM between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Results database (SEER). Fine and Gray’s analysis and K–M survival analysis were utilized to explore the impacts of the number of sites of EHMs and different sites of EHMs on prognosis. Finally, a prognostic nomogram model based on the number of sites of EHMs was constructed, and a string of validation methods was conducted, including concordance index (C-index), receiver operating characteristic curves (ROC), and decision curve analysis (DCA).ResultsPatients without EHMs had better prognoses in cancer-specific survival (CSS) and overall survival (OS) than patients with EHMs (p < 0.001). Varied EHM sites of patients had different characteristics of primary location site, grade, and histology. Cumulative incidence rates for CSS surpassed that for other causes in patients with 0, 1, 2, ≥ 3 EHMs, and the patients with more numbers of sites of EHMs revealed worse prognosis in CSS (p < 0.001). However, patients with different EHM sites had a minor difference in cumulative incidence rates for CSS (p = 0.106). Finally, a nomogram was constructed to predict the survival probability of patients with EHMs, which is based on the number of sites of EHMs and has been proven an excellent predictive ability.ConclusionThe number of sites of EHMs was a significant prognostic factor of CC patients with LM. However, the sites of EHMs showed limited impact on survival. Furthermore, a nomogram based on the number of sites of EHMs was constructed to predict the OS of patients with EHMs accurately.
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spelling doaj.art-6759230ac02e431a8e5499e02676bbf42023-06-06T12:05:25ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-06-011310.3389/fonc.2023.11726701172670Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort studyShuheng Bai0Ling Chen1Guixian Zhu2Wang Xuan3Fengyuan Hu4Wanyi Liu5Wenyang Li6Ning Lan7Min Chen8Yanli Yan9Rong Li10Yiping Yang11Juan Ren12Department of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Chemotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiotherapy, Radiotherapy Clinical Medical Research Center of Shaanxi Province, Xi’an, ChinaDepartment of Radiotherapy, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaIntroductionThe occurrence of metastasis is a threat to patients with colon cancer (CC), and the liver is the most common metastasis organ. However, the role of the extrahepatic organs in patients with liver metastasis (LM) has not been distinctly demonstrated. Therefore, this research aimed to explore the prognostic value of extrahepatic metastases (EHMs).MethodsIn this retrospective study, a total of 13,662 colon patients with LM between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Results database (SEER). Fine and Gray’s analysis and K–M survival analysis were utilized to explore the impacts of the number of sites of EHMs and different sites of EHMs on prognosis. Finally, a prognostic nomogram model based on the number of sites of EHMs was constructed, and a string of validation methods was conducted, including concordance index (C-index), receiver operating characteristic curves (ROC), and decision curve analysis (DCA).ResultsPatients without EHMs had better prognoses in cancer-specific survival (CSS) and overall survival (OS) than patients with EHMs (p < 0.001). Varied EHM sites of patients had different characteristics of primary location site, grade, and histology. Cumulative incidence rates for CSS surpassed that for other causes in patients with 0, 1, 2, ≥ 3 EHMs, and the patients with more numbers of sites of EHMs revealed worse prognosis in CSS (p < 0.001). However, patients with different EHM sites had a minor difference in cumulative incidence rates for CSS (p = 0.106). Finally, a nomogram was constructed to predict the survival probability of patients with EHMs, which is based on the number of sites of EHMs and has been proven an excellent predictive ability.ConclusionThe number of sites of EHMs was a significant prognostic factor of CC patients with LM. However, the sites of EHMs showed limited impact on survival. Furthermore, a nomogram based on the number of sites of EHMs was constructed to predict the OS of patients with EHMs accurately.https://www.frontiersin.org/articles/10.3389/fonc.2023.1172670/fullcolorectal cancercompeting risk analysisextrahepatic metastasisprognostic modelSEERrisk factor
spellingShingle Shuheng Bai
Ling Chen
Guixian Zhu
Wang Xuan
Fengyuan Hu
Wanyi Liu
Wenyang Li
Ning Lan
Min Chen
Yanli Yan
Rong Li
Yiping Yang
Juan Ren
Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
Frontiers in Oncology
colorectal cancer
competing risk analysis
extrahepatic metastasis
prognostic model
SEER
risk factor
title Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
title_full Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
title_fullStr Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
title_full_unstemmed Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
title_short Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study
title_sort prognostic value of extrahepatic metastasis on colon cancer with liver metastasis a retrospective cohort study
topic colorectal cancer
competing risk analysis
extrahepatic metastasis
prognostic model
SEER
risk factor
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1172670/full
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