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Poster Display

179P - Integrating multiplex immunofluorescence with gene expression data in the IMMUcan HER2-positive breast cancer cohort

Date

07 Dec 2023

Session

Poster Display

Presenters

Mattia Rediti

Citation

Annals of Oncology (2023) 20 (suppl_1): 100621-100621. 10.1016/iotech/iotech100621

Authors

M. Rediti1, A. Joaquin Garcia1, S. Tissot2, S. Rusakiewicz2, L. Despland3, M. Morfouace4, R. Liechti5, F. Marzetta5, J. Oliveira6, J. Goeminne7, A. Capela Marques8, L. Greillier9, X. Wang10, D. Vincent10, H.S. Hong11, M. Cesaroni12, C. Sotiriou1, L. Buisseret1

Author affiliations

  • 1 Institute Jules Bordet, Brussels/BE
  • 2 Ludwig Cancer Center of the University of Lausanne - CHUV, Lausanne/CH
  • 3 CHUV - Centre Hospitalier Universitaire Vaudois, Lausanne/CH
  • 4 Merck KGaA - Headquarters Merck Group, Darmstadt/DE
  • 5 SIB - Swiss Institute of Bioinformatics, Lausanne/CH
  • 6 Instituto Portugues de Oncologia do Porto Francisco Gentil, EPE (IPO-Porto), Porto/PT
  • 7 CHU-UCL-Namur - Site Sainte-Elisabeth, Namur/BE
  • 8 CHVNG/E - Centro Hospitalar de Vila Nova de Gaia/Espinho - Unidade 1 - EPE-SNS, Vila Nova de Gaia/PT
  • 9 Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille/FR
  • 10 Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels/BE
  • 11 Merck KGaA, Darmstadt/DE
  • 12 Sanofi - France, Paris/FR

Resources

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Abstract 179P

Background

IMMUcan (SPECTA NCT02834884) is an ongoing European effort to profile the tumor microenvironment (TME) in different cancer types. HER2-positive breast cancer (HER2+ BC) is heterogeneous, and TME characteristics impact treatment response. Here, we explored the correlation between multiplex immunofluorescence (mIF) and gene expression data in the IMMUcan prospective neoadjuvant early-stage HER2+ BC cohort.

Methods

A cohort of 149 patients was identified for preliminary analyses. mIF data were obtained from pretreatment tumor biopsies using 3 panels of marker antibodies [cytokeratin, CD15, CD163, CD11c, CD20, CD3, PD1, PD-L1, Ki67, granzyme B (GB), CD8, CD4, CD56, FOXP3] in 49 patients, evaluating stroma and tumor regions. Paired RNA sequencing (RNAseq) data were available for 44/49 patients. Spearman correlations (significant for P <0.05) were computed between mIF marker/cell phenotype densities (cells/mm2) and selected genes/gene expression signatures (GESs).

Results

Correlations between immune GESs and mIF markers/phenotypes ranged between 0.3 and 0.71. Of note, the gene CD274 and PD-L1 mIF stromal density presented high correlation (0.7), while the B cell stromal density correlated with a tertiary lymphoid structure GES (0.6). GESs describing proliferation were correlated with the densities of Ki67+ tumor cells (0.57 to 0.66), as well as with PD-L1 and several cell types (e.g., PD1+/Ki67+ tumor cells, CD8+/GB+/PD-L1+ cells, CD163-expressing macrophages; range 0.3 to 0.58). Expression levels of a PTEN loss GES was positively correlated with PD-L1 densities in both tumor and stroma (0.66 to 0.67), while GESs depicting glucose and lipid metabolism correlated (0.31 to 0.48) with CD163-expressing macrophages densities. Finally, negative correlations were observed between stroma-related signatures and densities of immune cells/markers (particularly CD8+ cells) as well as of proliferative tumor cells (-0.3 to -0.62).

Conclusions

In these preliminary analyses in the IMMUcan study, correlations between mIF and RNAseq data unveil biological processes potentially responsible for different immune infiltration patterns in HER2+ BC. Additional analyses are ongoing and further validation is warranted.

Clinical trial identification

NCT02834884; First posted: July 15, 2016.

Legal entity responsible for the study

EORTC.

Funding

IMI2 JU grant agreement 821558, supported by EU’s Horizon 2020 and EFPIA.

Disclosure

M. Morfouace: Financial Interests, Personal, Full or part-time Employment: Merck KGaA. L. Greillier: Financial Interests, Personal, Advisory Board: AbbVie, AstraZeneca, BMS, MSD, Novartis, Sanofi, Takeda, Roche; Financial Interests, Personal, Invited Speaker: Lilly, Pfizer; Financial Interests, Institutional, Local PI: AstraZeneca, AbbVie, BMS, MSD, Novartis, Takeda, Pfizer, PharmaMar; Financial Interests, Institutional, Coordinating PI: Sanofi; Financial Interests, Personal, Local PI: Roche. H.S. Hong: Financial Interests, Personal, Full or part-time Employment: Merck KGaA. M. Cesaroni: Financial Interests, Personal, Full or part-time Employment: Sanofi. 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. L. Buisseret: Financial Interests, Institutional, Advisory Board: Domain Therapeutics; Financial Interests, Institutional, Other, Steering Committee: iTEOS Therapeutics; Financial Interests, Personal, Other, writing of clinical cases: Mirrors of Medicine; Financial Interests, Institutional, Other, Travel grant: Gilead; Financial Interests, Institutional, Research Grant, Research Grant for an investigator initiated trial: AstraZenaca; Non-Financial Interests, Personal, Principal Investigator: iTeos Therapeutics; Non-Financial Interests, Personal, Member: EORTC, BSMO. All other authors have declared no conflicts of interest.

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