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Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model
The evidence for adjuvant therapy in locally advanced rectal cancer after TME surgery is sparse. The aim of this study was to identify predicting factors of overall survival (OS) in these patients and combine them into a nomogram for individualized treatment. 1798 patients with pathologically staged...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216815/ https://www.ncbi.nlm.nih.gov/pubmed/27340785 http://dx.doi.org/10.18632/oncotarget.10228 |
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author | Liu, Wen-Yang Dinapoli, Nicola Wang, Xin Meldolesi, Elisa Gambacorta, Maria Antonietta Chiloiro, Giuditta Ren, Hua Fang, Hui Lu, Ning-Ning Tang, Yu Deng, Lei Wang, Jian-Yang Jing, Hao Xiao, Qin Feng, Yan-Ru Li, Ye-Xiong Wang, Shu-Lian Song, Yong-Wen Liu, Yue-Ping Wang, Wei-Hu Valentini, Vincenzo Jin, Jing |
author_facet | Liu, Wen-Yang Dinapoli, Nicola Wang, Xin Meldolesi, Elisa Gambacorta, Maria Antonietta Chiloiro, Giuditta Ren, Hua Fang, Hui Lu, Ning-Ning Tang, Yu Deng, Lei Wang, Jian-Yang Jing, Hao Xiao, Qin Feng, Yan-Ru Li, Ye-Xiong Wang, Shu-Lian Song, Yong-Wen Liu, Yue-Ping Wang, Wei-Hu Valentini, Vincenzo Jin, Jing |
author_sort | Liu, Wen-Yang |
collection | PubMed |
description | The evidence for adjuvant therapy in locally advanced rectal cancer after TME surgery is sparse. The aim of this study was to identify predicting factors of overall survival (OS) in these patients and combine them into a nomogram for individualized treatment. 1798 patients with pathologically staged II/III rectal adenocarcinoma treated by radical TME surgery from a single center's database were reviewed. The nomogram was derived by Cox proportional hazards regression. Its performance was assessed by concordance index and calibration curve in internal validation with bootstrapping. Pooled Cox model analysis identified age, sex, grade of histology, pathological T and N stage, residual tumor, concurrent radiochemotherapy (RTCT), adjuvant chemotherapy cycles (CT), radiotherapy (RT) unexpected interruption days and intensity-modulated radiation therapy (IMRT) as significant covariates for 5-year OS (P<0.05). Postoperative RTCT, CT and IMRT all improved OS. The proposed model can predict 5-year OS with a C-index of 0.7105. IMRT significantly benefited OS in multivariate analysis (p=0.0441). In conclusion, our nomogram can predict 5-year OS after TME surgery for locally advanced rectal cancer with simple and effective advantage. This model may provide not only baseline OS estimate but also a tool for candidates selecting of adjuvant treatment in prospective studies. |
format | Online Article Text |
id | pubmed-5216815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-52168152017-01-15 Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model Liu, Wen-Yang Dinapoli, Nicola Wang, Xin Meldolesi, Elisa Gambacorta, Maria Antonietta Chiloiro, Giuditta Ren, Hua Fang, Hui Lu, Ning-Ning Tang, Yu Deng, Lei Wang, Jian-Yang Jing, Hao Xiao, Qin Feng, Yan-Ru Li, Ye-Xiong Wang, Shu-Lian Song, Yong-Wen Liu, Yue-Ping Wang, Wei-Hu Valentini, Vincenzo Jin, Jing Oncotarget Research Paper The evidence for adjuvant therapy in locally advanced rectal cancer after TME surgery is sparse. The aim of this study was to identify predicting factors of overall survival (OS) in these patients and combine them into a nomogram for individualized treatment. 1798 patients with pathologically staged II/III rectal adenocarcinoma treated by radical TME surgery from a single center's database were reviewed. The nomogram was derived by Cox proportional hazards regression. Its performance was assessed by concordance index and calibration curve in internal validation with bootstrapping. Pooled Cox model analysis identified age, sex, grade of histology, pathological T and N stage, residual tumor, concurrent radiochemotherapy (RTCT), adjuvant chemotherapy cycles (CT), radiotherapy (RT) unexpected interruption days and intensity-modulated radiation therapy (IMRT) as significant covariates for 5-year OS (P<0.05). Postoperative RTCT, CT and IMRT all improved OS. The proposed model can predict 5-year OS with a C-index of 0.7105. IMRT significantly benefited OS in multivariate analysis (p=0.0441). In conclusion, our nomogram can predict 5-year OS after TME surgery for locally advanced rectal cancer with simple and effective advantage. This model may provide not only baseline OS estimate but also a tool for candidates selecting of adjuvant treatment in prospective studies. Impact Journals LLC 2016-06-22 /pmc/articles/PMC5216815/ /pubmed/27340785 http://dx.doi.org/10.18632/oncotarget.10228 Text en Copyright: © 2016 Liu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Wen-Yang Dinapoli, Nicola Wang, Xin Meldolesi, Elisa Gambacorta, Maria Antonietta Chiloiro, Giuditta Ren, Hua Fang, Hui Lu, Ning-Ning Tang, Yu Deng, Lei Wang, Jian-Yang Jing, Hao Xiao, Qin Feng, Yan-Ru Li, Ye-Xiong Wang, Shu-Lian Song, Yong-Wen Liu, Yue-Ping Wang, Wei-Hu Valentini, Vincenzo Jin, Jing Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title | Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title_full | Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title_fullStr | Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title_full_unstemmed | Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title_short | Possible contribution of IMRT in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
title_sort | possible contribution of imrt in postoperative radiochemotherapy for rectal cancer: analysis on 1798 patients by prediction model |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216815/ https://www.ncbi.nlm.nih.gov/pubmed/27340785 http://dx.doi.org/10.18632/oncotarget.10228 |
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