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

Lunch and Poster Display session

133P - Clinico-pathological predictors of outcome in the (neo)adjuvant setting of luminal/HER2-negative invasive lobular breast cancer (ILC)

Date

16 May 2024

Session

Lunch and Poster Display session

Presenters

Luisa Carbognin

Citation

Annals of Oncology (2024) 9 (suppl_4): 1-25. 10.1016/esmoop/esmoop103096

Authors

L. Carbognin1, A. Franco2, A. Rossi1, P. Fuso3, F. Pavese1, G. Tiberi1, T. D'Angelo1, S. Rotondaro1, I. Paris1, A. Orlandi1, A. Palazzo1, F. Marazzi1, A. Santoro2, A. Mulè2, A. Di Leone2, G. Franceschini2, R. Masetti2, D. Giannarelli1, G. Scambia1, A. Fabi4

Author affiliations

  • 1 Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome/IT
  • 2 Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome/IT
  • 3 Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 - Rome/IT
  • 4 Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome/IT

Resources

Login to get immediate access to this content.

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

Abstract 133P

Background

The currently adopted prognostic factors for ILC are usually borrowed from the ductal histotype, despite the differences in terms of clinico-pathological features and outcome. Thus, the aim of this analysis was to more precisely stratify the prognosis of ILC undergone (neo)adjuvant therapy, and to explore the addition of chemotherapy (CT) to endocrine therapy (ET) in adjuvant setting.

Methods

Clinico-pathological data of consecutive patients (pts) affected by pure luminal/HER2-negative ILC (stage I-III), undergone surgery, were collected into 2 cohorts according to treatment setting: 1) adjuvant; 2) neoadjuvant. Independent predictors of overall- and disease free- survival (OS/DFS) were investigated with a Cox model, taking into account: 1) a previously validated prognostic score combining clinico-pathological factors (independently predicting the risk of recurrence and death) and clustering pts into 3 classes (low/intermediate/high risk: <2/=2/>2 score) in adjuvant cohort; 2) the pCR and CPS-EG score in neoadjuvant cohort.

Results

Data from 471 pts were gathered. Adjuvant/neoadjuvant cohorts: 386/85 pts (median follow up 86 months [Interquartile range (IQR) 62-124]/96 months [IQR 53-130]). In the adjuvant cohort, 10-yrs DFS was 85%, 72% and 55% in pts with low, intermediate and high-risk score (p<0.001); 10-yrs OS was 99%, 89% and 96% (p=0.06), respectively. Overall, DFS and OS were not significantly improved with CT (administered in 107 pts, 28%) in the overall sample, neither according to stage and prognostic score. In the neoadjuvant cohort, with a pCR rate of 7.1%, no statistically significant difference was found in DFS according to pCR: 5-yrs/10-yrs DFS was 76.6%/80.0% and 42.0%/80% in pts without and with pCR (p=0.34). Conversely, the CPS-EG score was able to distinguish into 2 prognostic groups (CPS-EG≤2 and >2): the 10-yrs DFS was 51% vs. 38% (p=0.028) and 10-yrs OS 86% vs. 66.2% (p=0.009), respectively.

Conclusions

While the combination of clinico-pathological factors is able to discriminate the prognosis of ILC, no predictive role for the benefit of adjuvant CT was found. In the neoadjuvant setting, the CPS-EG score stratifies ILC pts according to outcome, more powerfully than pCR.

Legal entity responsible for the study

The authors.

Funding

AIRC (My First AIRC Grant N. 25149).

Disclosure

I. Paris: Financial Interests, Personal, Advisory Board: Novartis, Istituto Gentili, Italfarmaco, Genetic, Gilead, Seagen, AstraZeneca, Eli Lilly, Pfizer; Financial Interests, Personal, Other, Financing for Travel/Accommodation: Gilead, AstraZeneca, Eli Lilly, Pfizer; Financial Interests, Institutional, Other, Financing for Health Technology Assessment: Seagen. A. Orlandi: Financial Interests, Personal, Invited Speaker: Novartis, Eli Lilly, Gilead, AstraZeneca, Sciences; Financial Interests, Personal, Advisory Board: Menarini, Pfizer, Novartis, Eli Lilly, AstraZeneca; Financial Interests, Institutional, Funding: Merck KGaA; Financial Interests, Personal, Sponsor/Funding, Travel/Accommodations: Menarini, Gilead, Pfizer, Novartis, AstraZeneca. A. Fabi: Financial Interests, Personal and Institutional, Advisory Board: Roche; Financial Interests, Personal, Advisory Board: Novartis, Eli Lilly, Pfizer, MSD, Dompè, Pierre Fabre, Gilead, Seagen, AstraZeneca, Exact Science; Financial Interests, Personal, Funding, Travel/Accommodations: Roche, Novartis, Eli Lilly, Pfizer, MSD, Dompè, Pierre Fabre, Eisai, Sophos, Epionpharma, Gilead, Seagen, AstraZeneca, Exact Science. 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.