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

  • Breast Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

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.

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Acknowledgment

This work was supported in part by the Korea Science and Engineering Fund (KOSEF) through the Cancer Metastasis Research Center (CMRC) at Yonsei University College of Medicine. (R11-2000-082-03002-0.)

Conflict of interest

The authors declare no conflict of interest.

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Correspondence to Hyun Cheol Chung MD, PhD.

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Jung, M., Choi, E.H., Nam, C.M. et al. Application of the Adjuvant! Online Model to Korean Breast Cancer Patients: An Assessment of Prognostic Accuracy and Development of an Alternative Prognostic Tool. Ann Surg Oncol 20, 2615–2624 (2013). https://doi.org/10.1245/s10434-013-2956-z

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  • DOI: https://doi.org/10.1245/s10434-013-2956-z

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