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Poster Display & Cocktail

43P - Immunosuppressive microenvironment can be reverted by neoadjuvant chemotherapy in TNBC

Date

03 Mar 2025

Session

Poster Display & Cocktail

Presenters

Francesca De Santis

Citation

Annals of Oncology (2025) 10 (suppl_2): 1-8. 10.1016/esmoop/esmoop104198

Authors

F. De Santis1, M. Lecchi2, F. Putti3, S. Brich4, A. Vingiani4, A. Indini1, A. Iacobucci1, G. Pruneri4, F.G.M. De Braud1, P. Verderio2, M. Di Nicola5

Author affiliations

  • 1 Medical Oncology & Haemathology Department, Fondazione IRCCS - Istituto Nazionale dei Tumori, 20133 - Milan/IT
  • 2 Bioinformatica E Biostatistica, Fondazione IRCCS - Istituto Nazionale dei Tumori, 20133 - Milan/IT
  • 3 Oncologia Medica 1, Fondazione IRCCS - Istituto Nazionale dei Tumori, 20133 - Milan/IT
  • 4 Division Of Pathology Department, Fondazione IRCCS - Istituto Nazionale dei Tumori, 20133 - Milan/IT
  • 5 Medical Oncology And Hematology, Fondazione IRCCS - Istituto Nazionale dei Tumori, 20133 - Milan/IT

Resources

This content is available to ESMO members and event participants.

Abstract 43P

Background

Neoadjuvant chemoimmunotherapy with immune checkpoint blockers (ICBs) is the standard approach to treat early triple-negative breast cancer (TNBC). However, the pathological complete response (pCR) rate is around 65% suggesting that immunosuppressive tumor microenvironment (TME) cannot be reverted with the use of anti PD1/PDL1 immunotherapy alone. To identify patients who benefit from immunotherapy compared to those who do not and whether chemotherapy (CT) was able to revert the immunosuppressive TME, we conducetd a comprehensive analysis on a retrospective case series of tumors pre and post neo adjuvant CT (naCT) using gene expression profiling.

Methods

RNA was extracted from biopsies collected before and after doxorubicin based naCT in 19 patients with grade 3 TNBC who did not achieve pCR. Gene expression analysis was conducted using the NanostringPanCancerImmune Panel on the nCounter platform. Data normalization was performed with nSolver 4.0.

Results

The Expanded Immune Gene Signature, described by Ayers (JCI 2017), was applied to our dataset. Patients were categorized into 4 groups based on signature level changes before and after naCT: high pre-treatment levels that decreased post-treatment (n=7), high pre-treatment levels that increased (n=2), low pre-treatment levels that increased (n=5) and low pre-treatment levels that decreased (n=5). By analyzing the relationship between pre-treatment expression levels of individual genes and post-treatment signature trends, IL17RB emerged as the most significant gene to distinguish patients with increasing signature trends from those with decreasing ones. Notably, among patients with low pre-treatment signature levels (n = 10), those with a decreasing trend had consistently higher pre-CT IL17RB expression levels (n = 5) compared to those with an increasing trend (n = 5).

Conclusions

Gene expression analysis conducted prior to naCT may help identify patients who are likely to benefit from ICBs versus those who require CT to overcome an immunosuppressive TME. Pre-naCT IL17RB expression levels may serve as a predictor for distinguishing patients in whom naCT can revert the immunosuppressive TME. Further analysis of larger datasets is ongoing to validate these preliminary findings.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

ERANET TRANSCAN JTC 2015.

Disclosure

All authors have declared no conflicts of interest.

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