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Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection

The current TNM staging system did not provide disease relapse information. The aim of study was try to establish a predictive survival model for disease and overall survival in nonsmall cell lung cancer patients who presented as resectable disease and to develop a reference for follow-up imaging to...

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Autores principales: Wu, Ching-Yang, Fu, Jui-Ying, Wu, Ching-Feng, Hsieh, Ming-Ju, Liu, Yun-Hen, Wu, Yi-Cheng, Yang, Cheng-Ta, Tsai, Ying-Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912292/
https://www.ncbi.nlm.nih.gov/pubmed/26559298
http://dx.doi.org/10.1097/MD.0000000000002013
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author Wu, Ching-Yang
Fu, Jui-Ying
Wu, Ching-Feng
Hsieh, Ming-Ju
Liu, Yun-Hen
Wu, Yi-Cheng
Yang, Cheng-Ta
Tsai, Ying-Huang
author_facet Wu, Ching-Yang
Fu, Jui-Ying
Wu, Ching-Feng
Hsieh, Ming-Ju
Liu, Yun-Hen
Wu, Yi-Cheng
Yang, Cheng-Ta
Tsai, Ying-Huang
author_sort Wu, Ching-Yang
collection PubMed
description The current TNM staging system did not provide disease relapse information. The aim of study was try to establish a predictive survival model for disease and overall survival in nonsmall cell lung cancer patients who presented as resectable disease and to develop a reference for follow-up imaging tool selection. From January 2005 to December 2011, 442 patients who initially presented as resectable disease (stages I–IIIa) and received anatomic resection and mediastinal lymph node dissection were included in the study. Medical charts were thoroughly reviewed and clinico-pathologic factors were collected and analyzed. Visceral pleural invasion, tumor size >5 cm, and postoperative adjuvant therapy were identified as risk factors for poorer disease-free survival. The 5-year disease-free survival from score 0 to 3 was 68.7%, 46.6%, 31.9%, and 26.1%, respectively. The disease relapse percentage for scores 0 to 3 were 26.49%, 50.61%, 65.05%, and 73.81%, respectively. For analysis of overall survival, age >60 years, tumor size >3 cm, and total metastatic lymph node ratio >0.05 were correlated to worse overall survival. Because greater age may be correlated with poor general condition, we re-scored risk factors that correlated to disease severity that ranging from 0 to 2. The 5-year overall survival range from score 0 to 2 was 56.3%, 43.1%, and 13.1%, respectively. Poor prognostic factors correlated to disease-free survival were tumor size >5 cm, visceral pleural invasion, and patients needing to receive postoperative adjuvant therapy. Disease-free survival of resectable nonsmall cell lung cancer patients and disease relapse can be stratified by these 3 factors. Chest tomography may be recommended for patients with 1 or more poor disease-free survival risk factors.
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spelling pubmed-49122922016-06-28 Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection Wu, Ching-Yang Fu, Jui-Ying Wu, Ching-Feng Hsieh, Ming-Ju Liu, Yun-Hen Wu, Yi-Cheng Yang, Cheng-Ta Tsai, Ying-Huang Medicine (Baltimore) 5700 The current TNM staging system did not provide disease relapse information. The aim of study was try to establish a predictive survival model for disease and overall survival in nonsmall cell lung cancer patients who presented as resectable disease and to develop a reference for follow-up imaging tool selection. From January 2005 to December 2011, 442 patients who initially presented as resectable disease (stages I–IIIa) and received anatomic resection and mediastinal lymph node dissection were included in the study. Medical charts were thoroughly reviewed and clinico-pathologic factors were collected and analyzed. Visceral pleural invasion, tumor size >5 cm, and postoperative adjuvant therapy were identified as risk factors for poorer disease-free survival. The 5-year disease-free survival from score 0 to 3 was 68.7%, 46.6%, 31.9%, and 26.1%, respectively. The disease relapse percentage for scores 0 to 3 were 26.49%, 50.61%, 65.05%, and 73.81%, respectively. For analysis of overall survival, age >60 years, tumor size >3 cm, and total metastatic lymph node ratio >0.05 were correlated to worse overall survival. Because greater age may be correlated with poor general condition, we re-scored risk factors that correlated to disease severity that ranging from 0 to 2. The 5-year overall survival range from score 0 to 2 was 56.3%, 43.1%, and 13.1%, respectively. Poor prognostic factors correlated to disease-free survival were tumor size >5 cm, visceral pleural invasion, and patients needing to receive postoperative adjuvant therapy. Disease-free survival of resectable nonsmall cell lung cancer patients and disease relapse can be stratified by these 3 factors. Chest tomography may be recommended for patients with 1 or more poor disease-free survival risk factors. Wolters Kluwer Health 2015-11-13 /pmc/articles/PMC4912292/ /pubmed/26559298 http://dx.doi.org/10.1097/MD.0000000000002013 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 5700
Wu, Ching-Yang
Fu, Jui-Ying
Wu, Ching-Feng
Hsieh, Ming-Ju
Liu, Yun-Hen
Wu, Yi-Cheng
Yang, Cheng-Ta
Tsai, Ying-Huang
Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title_full Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title_fullStr Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title_full_unstemmed Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title_short Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection
title_sort survival prediction model using clinico-pathologic characteristics for nonsmall cell lung cancer patients after curative resection
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912292/
https://www.ncbi.nlm.nih.gov/pubmed/26559298
http://dx.doi.org/10.1097/MD.0000000000002013
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