Cargando…

Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients

PURPOSE: The role of adjuvant chemoradiotherapy (ACRT) or adjuvant chemotherapy (ACT) in treating patients with locally advanced upper rectal cancer (URC) after total mesorectal excision (TME) surgery remains unclear. We developed a clinical nomogram and a recursive partitioning analysis (RPA)-based...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xin, Jin, Jing, Yang, Yong, Liu, Wen-Yang, Ren, Hua, Feng, Yan-Ru, Xiao, Qin, Li, Ning, Deng, Lei, Fang, Hui, Jing, Hao, Lu, Ning-Ning, Tang, Yu, Wang, Jian-Yang, Wang, Shu-Lian, Wang, Wei-Hu, Song, Yong-Wen, Liu, Yue-Ping, Li, Ye-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323223/
https://www.ncbi.nlm.nih.gov/pubmed/27449095
http://dx.doi.org/10.18632/oncotarget.10718
_version_ 1782509994277601280
author Wang, Xin
Jin, Jing
Yang, Yong
Liu, Wen-Yang
Ren, Hua
Feng, Yan-Ru
Xiao, Qin
Li, Ning
Deng, Lei
Fang, Hui
Jing, Hao
Lu, Ning-Ning
Tang, Yu
Wang, Jian-Yang
Wang, Shu-Lian
Wang, Wei-Hu
Song, Yong-Wen
Liu, Yue-Ping
Li, Ye-Xiong
author_facet Wang, Xin
Jin, Jing
Yang, Yong
Liu, Wen-Yang
Ren, Hua
Feng, Yan-Ru
Xiao, Qin
Li, Ning
Deng, Lei
Fang, Hui
Jing, Hao
Lu, Ning-Ning
Tang, Yu
Wang, Jian-Yang
Wang, Shu-Lian
Wang, Wei-Hu
Song, Yong-Wen
Liu, Yue-Ping
Li, Ye-Xiong
author_sort Wang, Xin
collection PubMed
description PURPOSE: The role of adjuvant chemoradiotherapy (ACRT) or adjuvant chemotherapy (ACT) in treating patients with locally advanced upper rectal cancer (URC) after total mesorectal excision (TME) surgery remains unclear. We developed a clinical nomogram and a recursive partitioning analysis (RPA)-based risk stratification system for predicting 5-year cancer-specific survival (CSS) to determine whether these individuals require ACRT or ACT. MATERIALS AND METHODS: This retrospective analysis included 547 patients with primary URC. A nomogram was developed based on the Cox regression model. The performance of the model was assessed by concordance index (C-index) and calibration curve in internal validation with bootstrapping. RPA stratified patients into risk groups based on their tumor characteristics. RESULTS: Five independent prognostic factors (age, preoperative increased carcinoembryonic antigen and carcinoma antigen 19-9, positive lymph node [PLN] number, tumor deposit [TD], pathological T classification) were identified and entered into the predictive nomogram. The bootstrap-corrected C-index was 0.757. RPA stratification of the three prognostic groups showed obviously different prognosis. Only the high-risk group (patients with PLN ≤ 6 and TD, or PLN > 6) benefited from ACRT plus ACT when compared with surgery followed by ACRT or ACT, and surgery alone (5-year CSS: 70.8% vs. 57.8% vs. 15.6%, P < 0.001). CONCLUSIONS: Our nomogram predicts 5-year CSS after TME surgery for locally advanced rectal cancer and RPA-based stratification indicates that ACRT plus ACT post-surgery may be an important treatment plan with potentially significant survival advantages in high-risk URC. This may help to select candidates of adjuvant treatment in prospective studies.
format Online
Article
Text
id pubmed-5323223
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-53232232017-03-23 Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients Wang, Xin Jin, Jing Yang, Yong Liu, Wen-Yang Ren, Hua Feng, Yan-Ru Xiao, Qin Li, Ning Deng, Lei Fang, Hui Jing, Hao Lu, Ning-Ning Tang, Yu Wang, Jian-Yang Wang, Shu-Lian Wang, Wei-Hu Song, Yong-Wen Liu, Yue-Ping Li, Ye-Xiong Oncotarget Clinical Research Paper PURPOSE: The role of adjuvant chemoradiotherapy (ACRT) or adjuvant chemotherapy (ACT) in treating patients with locally advanced upper rectal cancer (URC) after total mesorectal excision (TME) surgery remains unclear. We developed a clinical nomogram and a recursive partitioning analysis (RPA)-based risk stratification system for predicting 5-year cancer-specific survival (CSS) to determine whether these individuals require ACRT or ACT. MATERIALS AND METHODS: This retrospective analysis included 547 patients with primary URC. A nomogram was developed based on the Cox regression model. The performance of the model was assessed by concordance index (C-index) and calibration curve in internal validation with bootstrapping. RPA stratified patients into risk groups based on their tumor characteristics. RESULTS: Five independent prognostic factors (age, preoperative increased carcinoembryonic antigen and carcinoma antigen 19-9, positive lymph node [PLN] number, tumor deposit [TD], pathological T classification) were identified and entered into the predictive nomogram. The bootstrap-corrected C-index was 0.757. RPA stratification of the three prognostic groups showed obviously different prognosis. Only the high-risk group (patients with PLN ≤ 6 and TD, or PLN > 6) benefited from ACRT plus ACT when compared with surgery followed by ACRT or ACT, and surgery alone (5-year CSS: 70.8% vs. 57.8% vs. 15.6%, P < 0.001). CONCLUSIONS: Our nomogram predicts 5-year CSS after TME surgery for locally advanced rectal cancer and RPA-based stratification indicates that ACRT plus ACT post-surgery may be an important treatment plan with potentially significant survival advantages in high-risk URC. This may help to select candidates of adjuvant treatment in prospective studies. Impact Journals LLC 2016-07-19 /pmc/articles/PMC5323223/ /pubmed/27449095 http://dx.doi.org/10.18632/oncotarget.10718 Text en Copyright: © 2016 Wang 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 Clinical Research Paper
Wang, Xin
Jin, Jing
Yang, Yong
Liu, Wen-Yang
Ren, Hua
Feng, Yan-Ru
Xiao, Qin
Li, Ning
Deng, Lei
Fang, Hui
Jing, Hao
Lu, Ning-Ning
Tang, Yu
Wang, Jian-Yang
Wang, Shu-Lian
Wang, Wei-Hu
Song, Yong-Wen
Liu, Yue-Ping
Li, Ye-Xiong
Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title_full Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title_fullStr Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title_full_unstemmed Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title_short Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
title_sort adjuvant treatment may benefit patients with high-risk upper rectal cancer: a nomogram and recursive partitioning analysis of 547 patients
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323223/
https://www.ncbi.nlm.nih.gov/pubmed/27449095
http://dx.doi.org/10.18632/oncotarget.10718
work_keys_str_mv AT wangxin adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT jinjing adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT yangyong adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT liuwenyang adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT renhua adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT fengyanru adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT xiaoqin adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT lining adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT denglei adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT fanghui adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT jinghao adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT luningning adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT tangyu adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT wangjianyang adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT wangshulian adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT wangweihu adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT songyongwen adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT liuyueping adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients
AT liyexiong adjuvanttreatmentmaybenefitpatientswithhighriskupperrectalcanceranomogramandrecursivepartitioninganalysisof547patients