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 session 12

1726P - Investigating adipocytes-tumor cells interaction and its effect on disease progression in lobular breast cancer with spatial transcriptomics

Date

10 Sep 2022

Session

Poster session 12

Topics

Pathology/Molecular Biology;  Translational Research

Tumour Site

Breast Cancer

Presenters

Matteo Serra

Citation

Annals of Oncology (2022) 33 (suppl_7): S772-S784. 10.1016/annonc/annonc1079

Authors

M. Serra1, L. Collet1, M. Rediti1, F. Lifrange2, D. Venet1, N. Occelli1, D. Vincent1, G. Rouas1, D. Larsimont3, L. Craciun3, X. Wang1, D. Gacquer1, M. Vikkula4, F.P. Duhoux5, F. Rothé1, C. Sotiriou1

Author affiliations

  • 1 Breast Cancer Translational Research Laboratory J.-c. Heuson - Université Libre De Bruxelles, Institute Jules Bordet, 1070 - Brussels/BE
  • 2 Department Of Pathology, CHU de Liège, 4000 - Liège/BE
  • 3 Pathology Department, Institute Jules Bordet, 1070 - Brussels/BE
  • 4 Human Molecular Genetics, De Duve Institute UCLouvain, 1200 - Woluwe-Saint-Lambert/BE
  • 5 Medical Oncology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc (UCLouvain Saint-Luc), 1200 - Woluwe-Saint-Lambert/BE

Resources

Login to get immediate access to this content.

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

Abstract 1726P

Background

Invasive lobular breast carcinoma (ILC) represents 5 to 15% of all invasive breast cancers (BCs). Adipose tissue has shown a role in BC development. Here, we aim to investigate adipocytes-tumor cells interaction and its prognostic value in ILC with spatial transcriptomics (ST).

Methods

We performed ST (10X Genomics) on frozen tumor samples from 43 primary hormone receptor-positive, HER2-negative ILC patients. The quantification of the contacts between cell types and the selection of ST spots on the tumor-adipocytes contact region were performed via H&E slides annotation. A gene expression signature of 27 genes was derived by performing differential gene expression analysis between patients with vs without relapse on the selected spots. TCGA and METABRIC were used to check the correlation of our signature with PIK3CA mutational status and immune/proliferation related signatures, and to perform survival analysis (Cox proportional hazard models). Signature association with drug sensitivity in cell lines was assessed using PharmacoGx R package.

Results

Adipocytes-tumor contacts were enriched in samples from patients who relapsed (n = 9, p = 0.035). This region was enriched in heme-metabolism and IFN α-γ pathways (padj < 0.25). The signature was more expressed in samples with PIK3CA mutations (p < 0.001 in TCGA and METABRIC), and associated with worse prognosis in ILC at uni- and multivariate (correcting for clinical variables) analyses for disease-specific survival and distant metastasis-free survival in METABRIC (p < 0.05). The same trend was observed when correcting for proliferation and immune signatures, and in invasive ductal breast carcinoma (IDC). No strong correlations (> 0.2 rho) between our signature and immune/proliferation related signatures were observed. Higher levels of the signature were associated to sensitivity to chemotherapeutic (including Epirubicin and Cisplatinum, p < 0.05) and PI3K pathway-targeting agents (p < 0.1) in luminal BC cell lines.

Conclusions

Tumor-adipocytes interaction has a role in defining prognosis in ILC. Our signature has the potential to guide treatment strategies in luminal BC. Further validation is required.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

F.R.S. - FNRS, Rue d’Egmont 5 - B 1000 Bruxelles (BE).

Disclosure

F.P. Duhoux: Financial Interests, Institutional, Other, Consulting or Advisory Role: Roche, Pfizer, AstraZeneca, Lilly, Novartis, Amgen, Daiichi Sankyo, Pierre Fabre, Gilead Sciences, Seattle Genetics; Financial Interests, Personal, Other, Travel, Accommodations, Expenses: Amgen, Roche, Teva, Pfizer. C. Sotiriou: Financial Interests, Institutional, Advisory Board: Astellas, Vertex, Seattle Genetics, Amgen, INC, Merck & Co; Financial Interests, Personal, Advisory Board: Cepheid, Puma; Financial Interests, Personal, Invited Speaker: Eisai, Prime Oncology, Teva; Financial Interests, Institutional, Other, Travel: Roche; Financial Interests, Institutional, Other, Internal speaker: Genentech; Financial Interests, Personal, Other, Regional speaker: Pfizer; Financial Interests, Institutional, Invited Speaker: Exact Sciences. 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.