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Clinical Parameters Predicting Pathologic Tumor Response After Preoperative Chemoradiotherapy for Rectal Cancer

Authors
 Sang Min Yoon  ;  Dae Yong Kim  ;  Jae-Gahb Park  ;  Seung-Yong Jeong  ;  Hyo Seong Choi  ;  Seok-Byung Lim  ;  Woong Sub Koom  ;  Hee Jin Chang  ;  Kyung Hae Jung  ;  Tae Hyun Kim 
Citation
 INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, Vol.69(4) : 1167-1172, 2007 
Journal Title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
ISSN
 0360-3016 
Issue Date
2007
MeSH
Adult ; Aged ; Aged, 80 and over ; Analysis of Variance ; Carcinoembryonic Antigen/blood* ; Combined Modality Therapy ; Female ; Hemoglobin A/analysis ; Humans ; Male ; Middle Aged ; Neoplasm Staging ; Rectal Neoplasms/blood ; Rectal Neoplasms/drug therapy* ; Rectal Neoplasms/pathology ; Rectal Neoplasms/radiotherapy* ; Remission Induction
Abstract
PURPOSE:
To identify pretreatment clinical parameters that could predict pathologic tumor response to preoperative chemoradiotherapy (CRT) for rectal cancer.
METHODS AND MATERIALS:
The study involved 351 patients who underwent preoperative CRT followed by surgery between October 2001 and July 2006. Tumor responses to preoperative CRT were assessed in terms of tumor downstaging and tumor regression. Statistical analyses were performed to identify clinical factors associated with pathologic tumor response.
RESULTS:
Tumor downstaging (defined as ypT2 or less) was observed in 167 patients (47.6%), whereas tumor regression (defined as Dworak's Regression Grades 3 or 4) was observed in 103 patients (29.3%) and complete regression in 51 patients (14.5%). Multivariate analysis found that predictors of downstaging were pretreatment hemoglobin level (p = 0.045), cN0 classification (p < 0.001), and serum carcinoembryonic antigen (CEA) level (p < 0.001), that predictors of tumor regression were cN0 classification (p = 0.044) and CEA level (p < 0.001), and that the predictor of complete regression was CEA level (p = 0.004).
CONCLUSIONS:
The data suggest that pretreatment CEA level is the most important clinical predictor of pathologic tumor response. It may be of benefit in the selection of treatment options as well as the assessment of individual prognosis.
Full Text
http://www.sciencedirect.com/science/article/pii/S0360301607007973
DOI
10.1016/j.ijrobp.2007.04.047
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Koom, Woong Sub(금웅섭) ORCID logo https://orcid.org/0000-0002-9435-7750
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/96195
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