Cargando…

Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers

OBJECTIVES: This retrospective study investigated prognostic factors in advanced non-small cell lung cancer (NSCLC) with bone-only metastasis, and developed a graded prognostic assessment (GPA) model to estimate patient survival. METHODS: The primary endpoint was overall survival. We investigated th...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Chunliu, Wei, Jia, Tian, Jia, Ma, Jintao, Liu, Ningbo, Yuan, Zhiyong, Zhao, Lujun, Wang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524192/
https://www.ncbi.nlm.nih.gov/pubmed/34703756
http://dx.doi.org/10.1016/j.jbo.2021.100394
_version_ 1784585462305783808
author Meng, Chunliu
Wei, Jia
Tian, Jia
Ma, Jintao
Liu, Ningbo
Yuan, Zhiyong
Zhao, Lujun
Wang, Ping
author_facet Meng, Chunliu
Wei, Jia
Tian, Jia
Ma, Jintao
Liu, Ningbo
Yuan, Zhiyong
Zhao, Lujun
Wang, Ping
author_sort Meng, Chunliu
collection PubMed
description OBJECTIVES: This retrospective study investigated prognostic factors in advanced non-small cell lung cancer (NSCLC) with bone-only metastasis, and developed a graded prognostic assessment (GPA) model to estimate patient survival. METHODS: The primary endpoint was overall survival. We investigated the patients with advanced NSCLC with bone-only metastasis at the initial diagnosis and diagnosed between 2013 and 2019 in our hospital. A log-rank test and Cox proportional hazards model were used to examine factors. A GPA model was developed in the training set based on the factors that were determined significant according to their hazard ratios and verified by the validation set. RESULTS: We finally included 220 patients for analysis. These patients were divided into two groups, 147 cases for the training cohort and 73 for the validation cohort. The following were significant independent prognostic factors, and were included in the GPA model: smoking; EGFR (epidermal growth factor receptor) sensitive/ALK (anaplastic lymphoma kinase) mutations; loss of weight; hypoalbuminemia; and primary site treated by surgery or radiotherapy. GPA score of nil was assigned to smoking, without sensitive mutations, loss of weight, hypoalbuminemia, and without local treatment of primary site; the corresponding superior alternatives were scored 1.5, 2.0, 1.5, 1.5, and 1.5, respectively. The median survival times of patients with GPA scores of nil to 3.0, 3.5 to 6.0, and 6.5 to 8.0 were 14.2, 29.5, and 56.6 months in the training set (P < 0.001) and 15.2, 31.2, and 54.0 months in the validation set (P < 0.001). CONCLUSION: The survival time of patients with NSCLC with bone-only metastasis was dramatically influenced by the presence of the determined prognostic factors. The GPA model developed in this study may be a useful clinical tool to estimate the life expectancy of these patients, and guide treatment.
format Online
Article
Text
id pubmed-8524192
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-85241922021-10-25 Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers Meng, Chunliu Wei, Jia Tian, Jia Ma, Jintao Liu, Ningbo Yuan, Zhiyong Zhao, Lujun Wang, Ping J Bone Oncol Research Paper OBJECTIVES: This retrospective study investigated prognostic factors in advanced non-small cell lung cancer (NSCLC) with bone-only metastasis, and developed a graded prognostic assessment (GPA) model to estimate patient survival. METHODS: The primary endpoint was overall survival. We investigated the patients with advanced NSCLC with bone-only metastasis at the initial diagnosis and diagnosed between 2013 and 2019 in our hospital. A log-rank test and Cox proportional hazards model were used to examine factors. A GPA model was developed in the training set based on the factors that were determined significant according to their hazard ratios and verified by the validation set. RESULTS: We finally included 220 patients for analysis. These patients were divided into two groups, 147 cases for the training cohort and 73 for the validation cohort. The following were significant independent prognostic factors, and were included in the GPA model: smoking; EGFR (epidermal growth factor receptor) sensitive/ALK (anaplastic lymphoma kinase) mutations; loss of weight; hypoalbuminemia; and primary site treated by surgery or radiotherapy. GPA score of nil was assigned to smoking, without sensitive mutations, loss of weight, hypoalbuminemia, and without local treatment of primary site; the corresponding superior alternatives were scored 1.5, 2.0, 1.5, 1.5, and 1.5, respectively. The median survival times of patients with GPA scores of nil to 3.0, 3.5 to 6.0, and 6.5 to 8.0 were 14.2, 29.5, and 56.6 months in the training set (P < 0.001) and 15.2, 31.2, and 54.0 months in the validation set (P < 0.001). CONCLUSION: The survival time of patients with NSCLC with bone-only metastasis was dramatically influenced by the presence of the determined prognostic factors. The GPA model developed in this study may be a useful clinical tool to estimate the life expectancy of these patients, and guide treatment. Elsevier 2021-10-12 /pmc/articles/PMC8524192/ /pubmed/34703756 http://dx.doi.org/10.1016/j.jbo.2021.100394 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Meng, Chunliu
Wei, Jia
Tian, Jia
Ma, Jintao
Liu, Ningbo
Yuan, Zhiyong
Zhao, Lujun
Wang, Ping
Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title_full Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title_fullStr Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title_full_unstemmed Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title_short Estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
title_sort estimating survival and clinical outcome in advanced non-small cell lung cancer with bone-only metastasis using molecular markers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524192/
https://www.ncbi.nlm.nih.gov/pubmed/34703756
http://dx.doi.org/10.1016/j.jbo.2021.100394
work_keys_str_mv AT mengchunliu estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT weijia estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT tianjia estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT majintao estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT liuningbo estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT yuanzhiyong estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT zhaolujun estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers
AT wangping estimatingsurvivalandclinicaloutcomeinadvancednonsmallcelllungcancerwithboneonlymetastasisusingmolecularmarkers