Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

ePoster Display

149P - Can high Ki67 predict distant recurrence in early stage breast cancer with low oncotype Dx score?

Date

16 Sep 2021

Session

ePoster Display

Topics

Tumour Site

Breast Cancer

Presenters

Parvaneh Fallah

Citation

Annals of Oncology (2021) 32 (suppl_5): S407-S446. 10.1016/annonc/annonc687

Authors

P. Fallah1, N. Mulla2, A.A..N. Rose3, L. Panasci4

Author affiliations

  • 1 Department Of Oncology, Jewish General Hospital, McGill University, H3T 1E2 - Montreal/CA
  • 2 Department Of Oncology, Taibah University, Medina/SA
  • 3 Department Of Oncology, Lady Davis Institute, Segal Cancer Centre, Jewish General Hospital, McGill University, Montreal/CA
  • 4 Department Of Oncology, Segal Cancer Centre, Jewish General Hospital, McGill University, Montreal/CA

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 149P

Background

Oncotype Dx recurrence score provides prognostic and predictive information for recurrence in early stage breast cancer. Patients with low oncotype Dx scores (=<25) are less likely to recur and often adjuvant chemotherapy is not necessary. However, a small minority of patients with low Oncotype Dx scores will experience recurrence. In this retrospective study, we examined whether high Ki67 could predict the distant recurrence in early stage breast cancer with low oncotype Dx scores.

Methods

This was a single center retrospective cohort study. Key inclusion criteria were: hormone receptor-positive, HER2 negative (T1-2 N0 M0) breast cancer diagnosed between 2008 and 2015 with a low oncotype Dx (=<25). Data cut-off was in December 2020 with a median follow-up of 7 years. Tumors that were >=15% + for Ki67 were considered “high Ki67” and those with less than 15% Ki67+ cells were classified as “low Ki67”. Fisher’s exact test was used to assess differences between Ki67 groups. Cox-regression models were used to assess differences in distant metastasis-free survival.

Results

We identified 278 consecutive patients with low Oncotype Dx scores. The median age at diagnosis was 60 (range 30 - 79), 274 patients were estrogen receptor (ER) >=90% and remaining 4 cases were ER 75-85%. 29 patients were low positive (=<10) for progesterone receptor (PR) and remaining 249 patients were PR high. 209 (75%) of tumors were <=2cm (T1) and 69 (25%) tumors were >2cm (T2). 271 (97%) patients received adjuvant anti-hormonal treatment for an average of 5 years (ranging from 6 months to 10 years). 148 (53%) patients were in Ki67-low and 130 (47%) were Ki67-high. Median oncotype Dx was 15 and 16 in low versus high-Ki67 groups. Of all cases in the study, 13 patients (4%) experienced distant metastasis. Recurrence rate was significantly higher in the Ki67-high group 9.2% (12/130) versus the Ki67-low group 0.7% (1/148) (P=0.001). Distant metastasis free survival was significantly shorter in patients with high vs. low Ki67 tumors (HR=12.7, 95%CI 1.7-98.2, P=0.014).

Conclusions

Among patients with low risk oncotype Dx, those with high Ki67 tumors are at higher risk of relapsing. Ki67 status may help to identify a subset of low risk Oncotype Dx patients who could benefit from adjuvant chemotherapy.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

A.A.N. Rose: Financial Interests, Personal, Advisory Board: Pfizer. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.