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Nomogram for prediction of pathologic complete remission using biomarker expression and endoscopic finding after preoperative chemoradiotherapy in rectal cancer.
Hur, Hyuk; Cho, Min Soo; Koom, Woong Sub; Lim, Joon Seok; Kim, Tae Il; Ahn, Joong Bae; Kim, Hoguen; Kim, Nam Kyu.
Afiliación
  • Hur H; Division of Colon and Rectal Surgery, Department of Surgery.
  • Cho MS; Division of Colon and Rectal Surgery, Department of Surgery.
  • Koom WS; Department of Radiation Oncology.
  • Lim JS; Department of Radiology, Research Institute of Radiological Science.
  • Kim TI; Department of Internal Medicine, Institute of Gastroenterology.
  • Ahn JB; Department of Medical Oncology.
  • Kim H; Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea.
  • Kim NK; Division of Colon and Rectal Surgery, Department of Surgery.
Chin J Cancer Res ; 32(2): 228-241, 2020 Apr.
Article en En | MEDLINE | ID: mdl-32410800
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chin J Cancer Res Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chin J Cancer Res Año: 2020 Tipo del documento: Article
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