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

Authors :
Nam Kyu Kim
Joon Seok Lim
Tae Il Kim
Joong Bae Ahn
Woong Sub Koom
Hyuk Hur
Min Soo Cho
Hoguen Kim
Source :
Chinese Journal of Cancer Research
Publication Year :
2020
Publisher :
Chinese Journal of Cancer Research, 2020.

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.

Details

ISSN :
19930631
Volume :
32
Database :
OpenAIRE
Journal :
Chinese Journal of Cancer Research
Accession number :
edsair.doi.dedup.....55f8e28ce73d78b53da3e1d0b3e44a1a
Full Text :
https://doi.org/10.21147/j.issn.1000-9604.2020.02.10