Breast cancer, early Poster lunch Poster Display session

67P - Prediction model of low risk recurrence distinguished by 21-gene recurrence score in hormone receptor-positive invasive breast cancer: A validation study (ID 921)

Presentation Number
67P
Presentation Topic
Breast cancer, early
Lecture Time
13:00 - 13:00
Speakers
  • Y. Tsuchida
Authors
  • Y. Tsuchida
  • N. Hayashi
  • F. Omata
  • S. Ohde
  • Y. Kanada
  • S. Tazawa
  • M. Takimoto
  • K. Suzuki
  • S. Nakamura
  • H. Yamauchi
Session Title
Session Room
Exhibition area, Singapore, Singapore, Singapore
Date
18.11.2017
Session Time
13:00 - 14:00

Abstract

Background

The 21-gene Recurrence Score (RS) (Oncotype DX®; Genomic Health, Redwood City, CA) is the most valid and reliable multigene assay to predict prognosis or response to chemotherapy in hormone receptor-positive invasive breast cancer patients. In Japan, however, the test is not frequently used because of its expensive and no coverage by national insurance. We have developed a model to predict low recurrence risk (low-RS) using 220 patient data from St. Luke’s International Hospital, Tokyo, Japan (presented at San Antonio Breast Cancer Symposium 2016). The model with 4 factors, including the histologic type (invasive ductal or lobular), the expression level of PgR (Allred score 7,8 or < 6) and Ki67 (< 24 or > 24), and the presence of lymphovascular invasion, showed that 92% of patients with high PgR positive and Ki67 < 24 could be classified as low-RS with an AUC of 0.843 (95%CI: 0.790-0.896). The aim of this study was to validate our prediction model with external patient data.

Methods

A validation set of clinicopathological data from 77 patients who had primary invasive carcinoma surgically resected and underwent OncotypeDx® was obtained from Showa University, school of medicine, Tokyo, Japan.

Results

According to the distribution of 4 factors between two cohorts, there was a significant difference in Ki67 level (<0.01) but not in histologic type, the expression level of PgR, and lymphovascular invasion. The prediction model of the validation cohort had still high enough discriminatory ability having an AUC of 0.705 (95%CI: 0.584-0.827).

Conclusions

Regardless of the inconsistency of Ki67 level between institutes, our model could provide useful information to predict low-RS in hormone receptor-positive invasive breast cancer patients. This model would be helpful to select patients who had better apply OncotypeDX®.

Legal entity responsible for the study

Yasue Tsuchida

Funding

None

Disclosure

All authors have declared no conflicts of interest.

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