Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis

Aim. This study is aimed at investigating predictive and prognostic factors of synchronous colorectal lung-limited metastasis (SCLLM) based on The Surveillance, Epidemiology, and End Results (SEER) database. Methods. A multivariate logistic regression model was constructed to identify independent pr...

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Main Authors: Yuqiang Li, Zhongyi Zhou, Da Liu, Ming Zhou, Fengbo Tan, Wenxue Liu, Hong Zhu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Gastroenterology Research and Practice
Online Access:http://dx.doi.org/10.1155/2020/6131485
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author Yuqiang Li
Zhongyi Zhou
Da Liu
Ming Zhou
Fengbo Tan
Wenxue Liu
Hong Zhu
author_facet Yuqiang Li
Zhongyi Zhou
Da Liu
Ming Zhou
Fengbo Tan
Wenxue Liu
Hong Zhu
author_sort Yuqiang Li
collection DOAJ
description Aim. This study is aimed at investigating predictive and prognostic factors of synchronous colorectal lung-limited metastasis (SCLLM) based on The Surveillance, Epidemiology, and End Results (SEER) database. Methods. A multivariate logistic regression model was constructed to identify independent predictors of SCLLM. A multivariate Cox proportional hazards regression model was used to distinguish independent prognostic factors. Results. This study enrolled 168,007 colorectal cancer (CRC) patients without metastatic diseases and 1,298 cases with SCLLM. Eight features, involving race, tumor location, pathological grade, histological type, T stage, N stage, and tumor size as well as CEA, could be used as the independent predictors. As the nomogram shown, the T4 stage contributed the most to SCLLM, followed by the N2 stage, elevated CEA, and rectal cancer. A multivariate regression analysis discriminated 9 independent prognostic factors, including age, race, marital status, pathological grade, T stage, colectomy/proctectomy, chemotherapy, CEA, and TD. The prognostic nomogram illustrated that nonresection/NOS played as the poorest prognostic factor, followed by nonchemotherapy, ≥75-year old and T4 stage. The cumulative survival curves revealed the influence of each prognostic factor on survival after controlling the other variables. Conclusions. This study identified independent predictors and prognostic factors for SCLLM based on a large database of the United States. The predictors and prognostic factors can provide supporting evidence for the prevention and treatment of SCLLM.
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spelling doaj-art-77c38ea317c543abbd66ca6f3b413d6d2025-02-03T06:43:30ZengWileyGastroenterology Research and Practice1687-61211687-630X2020-01-01202010.1155/2020/61314856131485Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited MetastasisYuqiang Li0Zhongyi Zhou1Da Liu2Ming Zhou3Fengbo Tan4Wenxue Liu5Hong Zhu6Department of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Thoracic Surgery 3 Zone, Cancer Center of Guangzhou Medical University, Guangzhou, ChinaDepartment of Thoracic Surgery 3 Zone, Cancer Center of Guangzhou Medical University, Guangzhou, ChinaDepartment of Gastrointestinal Surgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Rheumatology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, ChinaDepartment of Radiotherapy, Xiangya Hospital, Central South University, Changsha, ChinaAim. This study is aimed at investigating predictive and prognostic factors of synchronous colorectal lung-limited metastasis (SCLLM) based on The Surveillance, Epidemiology, and End Results (SEER) database. Methods. A multivariate logistic regression model was constructed to identify independent predictors of SCLLM. A multivariate Cox proportional hazards regression model was used to distinguish independent prognostic factors. Results. This study enrolled 168,007 colorectal cancer (CRC) patients without metastatic diseases and 1,298 cases with SCLLM. Eight features, involving race, tumor location, pathological grade, histological type, T stage, N stage, and tumor size as well as CEA, could be used as the independent predictors. As the nomogram shown, the T4 stage contributed the most to SCLLM, followed by the N2 stage, elevated CEA, and rectal cancer. A multivariate regression analysis discriminated 9 independent prognostic factors, including age, race, marital status, pathological grade, T stage, colectomy/proctectomy, chemotherapy, CEA, and TD. The prognostic nomogram illustrated that nonresection/NOS played as the poorest prognostic factor, followed by nonchemotherapy, ≥75-year old and T4 stage. The cumulative survival curves revealed the influence of each prognostic factor on survival after controlling the other variables. Conclusions. This study identified independent predictors and prognostic factors for SCLLM based on a large database of the United States. The predictors and prognostic factors can provide supporting evidence for the prevention and treatment of SCLLM.http://dx.doi.org/10.1155/2020/6131485
spellingShingle Yuqiang Li
Zhongyi Zhou
Da Liu
Ming Zhou
Fengbo Tan
Wenxue Liu
Hong Zhu
Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
Gastroenterology Research and Practice
title Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
title_full Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
title_fullStr Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
title_full_unstemmed Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
title_short Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis
title_sort predictive and prognostic factors of synchronous colorectal lung limited metastasis
url http://dx.doi.org/10.1155/2020/6131485
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