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

Poster display session

137P - Combining protein and mRNA spatial profiles to identify distinct cell population in metaplastic breast cancer

Date

15 Oct 2022

Session

Poster display session

Presenters

Hellen Kuasne

Citation

Annals of Oncology (2022) 33 (suppl_8): S1383-S1430. 10.1016/annonc/annonc1095

Authors

H. Kuasne1, B. Khadang2, J. Lai2, C. Martinez Ramirez1, A. Monast1, A. Fortier1, S. Busque1, J. Asselah3, N. Bouganim4, S. Meterissian4, A. Omeroglu4, M. Basik5, Y. Riazalhosseini2, M. Park1

Author affiliations

  • 1 Goodman Cancer Research Center - McGill University, Montreal/CA
  • 2 McGill University, Montreal/CA
  • 3 MUHC - McGill University Health Centre - Glen Site, Montreal/CA
  • 4 McGill University Health Center The Montreal General Hospital, Montreal/CA
  • 5 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 137P

Background

Metaplastic breast cancer (MpBC) is a heterogeneous disease and is characterized by the differentiation of the neoplastic epithelium into squamous cells and/or mesenchymal elements. MpBC is rare but very aggressive and presents high rates of recurrence, poor survival outcomes, and poor response to current chemotherapies optimized for other breast cancer subtypes. To date, there are no established treatments for MpBCs, due to paucity of clinical trials and near absence of preclinical models for investigation. In the last years we developed a unique resource of 6 MpBCs Patient-derived xenograft (PDX), which are suitable models to evaluate the clinical diversity of MpBC. Those models are being used for preclinical drug evaluation, biomarker identification, and personalized medicine strategies. The aim of this study was to evaluate and compare the different population of MpBCs by combining spatial resolution mRNA and protein expression profiles (Nanostring GeoMx Digital Spatial Profiler).

Methods

We evaluated the mRNA expression of over 1,800 genes and a panel of 80 proteins/phospho-proteins in 3 MpBC primary tumors and matched PDX samples. We evaluated at least 6 different populations per sample using Formalin-fixed, paraffin-embedded (FFPE) tissue and identified the molecular profile of every cell population inter and intra samples.

Results

Our preliminary results indicate that pathways related to MAPK, PI3K/AKT/mTOR and EMT signaling are disrupted in MpBC, but not in every cell population. Based on the PanCk levels we were able to identify population that presented lower PanCK expression and alteration in Phospho-JNK (T183/Y185), Phospho-AKT1 (S473), Phospho-c-RAF (S338) and Phospho-AKT (phospho T308) levels.

Conclusions

Considering that MpBC remains a deadly disease, a better understanding of its cell population heterogeneity will allow the identification of targets and combination of targets with potential to be translated to the clinic.

Legal entity responsible for the study

McGill University.

Funding

Fonds de Recherche du Québec - Santé (FRQS), Canadian Cancer Society (CCS).

Disclosure

All 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.