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Nomogram for prediction of pathologic complete remission using biomarker expression and endoscopic finding after preoperative chemoradiotherapy in rectal cancer

Authors
 Hyuk Hur  ;  Min Soo Cho  ;  Woong Sub Koom  ;  Joon Seok Lim  ;  Tae Il Kim  ;  Joong Bae Ahn  ;  Hoguen Kim  ;  Nam Kyu Kim 
Citation
 CHINESE JOURNAL OF CANCER RESEARCH, Vol.32(2) : 228-241, 2020-04 
Journal Title
 CHINESE JOURNAL OF CANCER RESEARCH 
ISSN
 1000-9604 
Issue Date
2020-04
Keywords
Rectal cancer ; chemoradiotherapy ; endoscopy ; molecular marker ; nomogram ; treatment response
Abstract
Objective: The aim of this study is to develop a nomogram for prediction of pathologic complete remission (pCR) after preoperative chemoradiotherapy (CRT) for rectal cancer. Methods: mRNA expression levels of seven molecular markers [p53, p21, Ki-67, vascular endothelial growth factor (VEGF), CD133, CD24, CD44] were measured by reverse transcriptase polymerase chain reaction (RT-PCR) in 120 rectal cancers. Endoscopic findings of clinical complete remission (cCR) and biologic variables were used to construct nomogram in the training group (n=80), which was validated in the validation group (n=40). Results: mRNA expression levels of four markers (p53, p21, Ki67, CD133) correlated with pCR (24/80, 30.0%) in the training group. Low expression of p53 and/or high expression of p21, Ki67 and CD133 showed greater pCR rate. pCR was shown in 18 (69.2%) of 26 cases showing endoscopic cCR in the training group. Higher pCR rate was demonstrated in lower tumor location than middle tumor (19/49, 38.8% vs. 5/31, 16.1%). A nomogram for prediction of pCR was developed from the multivariate prediction model using these six variables, which showed good discrimination ability in the training group [area under the curve (AUC)=0.945] and validation group (AUC=0.922). The calibration plot showed good agreement between actual and predicted pCR in both patient groups. Conclusions: Nomogram for assessment of pCR can be useful for making treatment decisions after CRT according to predicted responses.
Files in This Item:
T202002797.pdf Download
DOI
10.21147/j.issn.1000-9604.2020.02.10
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Koom, Woong Sub(금웅섭) ORCID logo https://orcid.org/0000-0002-9435-7750
Kim, Nam Kyu(김남규) ORCID logo https://orcid.org/0000-0003-0639-5632
Kim, Tae Il(김태일) ORCID logo https://orcid.org/0000-0003-4807-890X
Kim, Hogeun(김호근)
Ahn, Joong Bae(안중배) ORCID logo https://orcid.org/0000-0001-6787-1503
Lim, Joon Seok(임준석) ORCID logo https://orcid.org/0000-0002-0334-5042
Cho, Min Soo(조민수)
Hur, Hyuk(허혁) ORCID logo https://orcid.org/0000-0002-9864-7229
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179109
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