Cited 0 times in

123 3

Application of the Adjuvant! Online Model to Korean Breast Cancer Patients: An Assessment of Prognostic Accuracy and Development of an Alternative Prognostic Tool

Authors
 Minkyu Jung ; Eun Hee Choi ; Hyun Cheol Chung ; Jae Kyung Roh ; Woo Ick Yang ; Soo Hyun Lee ; Hei Cheul Jeung ; Sun Young Rha ; Chung Mo Nam 
Citation
 Annals of Surgical Oncology, Vol.20(8) : 2615~2624, 2013 
Journal Title
 Annals of Surgical Oncology 
ISSN
 1068-9265 
Issue Date
2013
Abstract
BACKGROUND: Adjuvant! Online (AOL) is a Web-accessible risk-assessment model that predicts the mortality and the benefits of adjuvant therapy for breast cancer. METHODS: Using the Yonsei Tumor Registry database, patients with T1-3, N0-3, M0 breast cancer who were treated at the Yonsei Cancer Center between 1986 and 1999 were entered into AOL version 8.0 to calculate survival. RESULTS: The median age of the study population was 45 years (range, 23-76 years) and the median follow-up duration was 10.8 years (range, 0.1-25.9 years) for all 699 patients. AOL significantly overestimated overall survival (OS) (by 11.1 %, P < 0.001), breast cancer-specific survival (BCSS) (by 11.6 %, P < 0.001), and event free-free survival (EFS) (by 9.25 %, P < 0.001) in Korean patients. Therefore, we developed a Korean version of AOL (KAOL), which is a new model for prognosis based on AOL's parameters. The observed 10-year OS (61.4 %), BCSS (62.3 %), and EFS (59.1 %) and the KAOL predicted OS (61.5 %), BCSS (63.5 %) and EFS (57.6 %) were not different (P = 0.976, P = 0.771, and P = 0.674, respectively). CONCLUSIONS: AOL was not found to be suitable in Korean patients with breast cancer. The newly developed KAOL accurately predicted 10-year outcomes in Korean breast cancer patients.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/87282
DOI
10.1245/s10434-013-2956-z
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Pathology
1. 연구논문 > 1. College of Medicine > Dept. of Preventive Medicine
1. 연구논문 > 1. College of Medicine > Dept. of Internal Medicine
Yonsei Authors
사서에게 알리기
  feedback
Link
 http://link.springer.com/article/10.1245%2Fs10434-013-2956-z
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse