Cargando…

Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study

BACKGROUND: Local consolidative treatment (LCT) is important for oligometastasis, defined as the restricted metastatic capacity of a tumor. This study aimed to determine the effects and prognostic heterogeneity of LCT in oligometastatic non-small cell lung cancer. METHODS: This retrospective study i...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jia-Tao, Liu, Si-Yang, Yan, Hong-Hong, Wu, Yi-Long, Nie, Qiang, Zhong, Wen-Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836326/
https://www.ncbi.nlm.nih.gov/pubmed/31694572
http://dx.doi.org/10.1186/s12885-019-6216-x
_version_ 1783466880699203584
author Zhang, Jia-Tao
Liu, Si-Yang
Yan, Hong-Hong
Wu, Yi-Long
Nie, Qiang
Zhong, Wen-Zhao
author_facet Zhang, Jia-Tao
Liu, Si-Yang
Yan, Hong-Hong
Wu, Yi-Long
Nie, Qiang
Zhong, Wen-Zhao
author_sort Zhang, Jia-Tao
collection PubMed
description BACKGROUND: Local consolidative treatment (LCT) is important for oligometastasis, defined as the restricted metastatic capacity of a tumor. This study aimed to determine the effects and prognostic heterogeneity of LCT in oligometastatic non-small cell lung cancer. METHODS: This retrospective study identified 436 eligible patients treated for oligometastatic disease at the Guangdong Provincial People’s Hospital during 2009–2016. A Cox regression analysis was used to identify potential predictors of overall survival (OS). After splitting cases randomly into training and testing sets, risk stratification was performed using recursive partitioning analysis with a training dataset. The findings were confirmed using a validation dataset. The effects of LCT in different risk groups were evaluated using the Kaplan-Meier method. RESULTS: The T stage (p = 0.001), N stage (p = 0.008), number of metastatic sites (p = 0.031), and EGFR status (p = 0.043) were identified as significant predictors of OS. A recursive partitioning analysis was used to establish a prognostic risk model with the following four risk groups: Group I included never smokers with N0 disease (3-year OS: 55.6%, median survival time [MST]: 42.8 months), Group II included never smokers with N+ disease (3-year OS: 32.8%, MST: 26.5 months), Group III included smokers with T0–2 disease (3-year OS: 23.3%, MST: 19.4 months), and Group IV included smokers with T3/4 disease (3-year OS: 12.5%, MST: 11.1 months). Significant differences in OS according to LCT status were observed in all risk groups except Group IV (p = 0.45). CONCLUSIONS: Smokers with T3/4 oligometastatic non-small cell lung cancer may not benefit from LCT.
format Online
Article
Text
id pubmed-6836326
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68363262019-11-08 Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study Zhang, Jia-Tao Liu, Si-Yang Yan, Hong-Hong Wu, Yi-Long Nie, Qiang Zhong, Wen-Zhao BMC Cancer Research Article BACKGROUND: Local consolidative treatment (LCT) is important for oligometastasis, defined as the restricted metastatic capacity of a tumor. This study aimed to determine the effects and prognostic heterogeneity of LCT in oligometastatic non-small cell lung cancer. METHODS: This retrospective study identified 436 eligible patients treated for oligometastatic disease at the Guangdong Provincial People’s Hospital during 2009–2016. A Cox regression analysis was used to identify potential predictors of overall survival (OS). After splitting cases randomly into training and testing sets, risk stratification was performed using recursive partitioning analysis with a training dataset. The findings were confirmed using a validation dataset. The effects of LCT in different risk groups were evaluated using the Kaplan-Meier method. RESULTS: The T stage (p = 0.001), N stage (p = 0.008), number of metastatic sites (p = 0.031), and EGFR status (p = 0.043) were identified as significant predictors of OS. A recursive partitioning analysis was used to establish a prognostic risk model with the following four risk groups: Group I included never smokers with N0 disease (3-year OS: 55.6%, median survival time [MST]: 42.8 months), Group II included never smokers with N+ disease (3-year OS: 32.8%, MST: 26.5 months), Group III included smokers with T0–2 disease (3-year OS: 23.3%, MST: 19.4 months), and Group IV included smokers with T3/4 disease (3-year OS: 12.5%, MST: 11.1 months). Significant differences in OS according to LCT status were observed in all risk groups except Group IV (p = 0.45). CONCLUSIONS: Smokers with T3/4 oligometastatic non-small cell lung cancer may not benefit from LCT. BioMed Central 2019-11-06 /pmc/articles/PMC6836326/ /pubmed/31694572 http://dx.doi.org/10.1186/s12885-019-6216-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Jia-Tao
Liu, Si-Yang
Yan, Hong-Hong
Wu, Yi-Long
Nie, Qiang
Zhong, Wen-Zhao
Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title_full Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title_fullStr Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title_full_unstemmed Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title_short Recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
title_sort recursive partitioning analysis of patients with oligometastatic non-small cell lung cancer: a retrospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836326/
https://www.ncbi.nlm.nih.gov/pubmed/31694572
http://dx.doi.org/10.1186/s12885-019-6216-x
work_keys_str_mv AT zhangjiatao recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy
AT liusiyang recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy
AT yanhonghong recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy
AT wuyilong recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy
AT nieqiang recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy
AT zhongwenzhao recursivepartitioninganalysisofpatientswitholigometastaticnonsmallcelllungcanceraretrospectivestudy