Application of the adjuvant! Online model to korean breast cancer patients: An assessment of prognostic accuracy and development of an alternative prognostic tool

Minkyu Jung, Eun Hee Choi, Chung Mo Nam, Sun Young Rha, Hei Cheul Jeung, Soo Hyun Lee, Woo Ick Yang, Jae Kyung Roh, Hyun Cheol Chung

Research output: Contribution to journalArticle

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2615-2624
Number of pages10
JournalAnnals of surgical oncology
Volume20
Issue number8
DOIs
Publication statusPublished - 2013 Aug

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology

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