Abstract 64P
Background
Tumor associated macrophages (TAMs) are highly abundant immune cells present within the microenvironment of multiple tumor types. TAMs with a type 2 (M2)-like phenotype generally associate with poor prognosis and resistance against immunotherapy. In fact, we observed high frequencies of M2-like TAMs relative to those of CD8+ T cells according to gene expression analyses in multiple tumor types. In this study, we aim to engineer CD8+ T cells that resist M2-like macrophage-mediated suppression.
Methods
First, we have set up an in vitro co-culture model of human autologous M2-like macrophages and CD8+ T cells that yields T cell suppression. To this end, we have polarized in vitro monocytes from healthy donors into M2-like macrophages using a cytokine cocktail, after which we have optimized critical parameters, such as type of T cell stimulation, co-culture duration and the ratio between the two cell types.
Results
With this model, we have demonstrated that M2-like macrophages from multiple donors, when co-cultured with anti-CD3/CD28 antibody-stimulated autologous CD8+ T cells for 6 days, suppressed T cell proliferation by 50%. In a second step, we have adapted this model to a CRISPR-Cas9 gene editing-based approach: single guide RNA lentiviral infection with Cas9 electroporation (SLICE). We have successfully performed single gene editing, and are currently editing CD8+ T cells with gene libraries targeting kinases.
Conclusions
Taken together, we present a robust in vitro model of M2-like macrophage-mediated suppression of CD8+ T cells which enables the identification of genes that contribute to suppression-resistant CD8+ T cells. The making of such synthetic T cells is anticipated to aid the anti-tumor efficacy of adoptive T cell therapy.
Legal entity responsible for the study
Erasmus MC.
Funding
KWF Kankerbestrijding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
31P - Peripheral-blood Immune-predictors of pathological complete response in patients with triple-negative breast cancer undergoing neoadjuvant chemo-immunotherapy
Presenter: Celeste Santoro
Session: Poster Display session
Resources:
Abstract
32P - Immune T cell subsets dynamics in the early TNBC treatment setting
Presenter: Rocío Martín Lozano
Session: Poster Display session
Resources:
Abstract
33P - Tumor-specific CD4 Th1 responses in long-term responder melanoma patients treated with immune checkpoint inhibitors.
Presenter: Jessica Mathiot
Session: Poster Display session
Resources:
Abstract
34P - Linking early immunity changes to clinical outcomes in cutaneous squamous cell carcinoma following anti-programmed death cell-1 (PD-1) treatment
Presenter: Marcella Scala
Session: Poster Display session
Resources:
Abstract
36P - Exploring the role of soluble B7-H3 (sB7-H3) as a biomarker to predict the clinical benefit and/or the occurrence of immune related adverse events (irAEs) in advanced cancer patients treated with immune checkpoint inhibitors (ICIs)
Presenter: Luigi Liguori
Session: Poster Display session
Resources:
Abstract
37P - Lymphocyte Subpopulation Balances as a Blood Biomarker for Immune-Related Adverse Events in Patients Receiving Immune Checkpoint Inhibitors
Presenter: Mireille Langouo fontsa
Session: Poster Display session
Resources:
Abstract
38P - Biomarkers predictive of response to immune checkpoint inhibitor therapy in patients with metastatic melanoma
Presenter: Eliza Bob
Session: Poster Display session
Resources:
Abstract
39P - Analysis of the immune response patterns in localized prostate cancer
Presenter: Sara Merler
Session: Poster Display session
Resources:
Abstract
40P - MANIFEST: A Multiomic Profiling Platform for Immuno-Oncology Biomarker Discovery
Presenter: Zayd Tippu
Session: Poster Display session
Resources:
Abstract
41P - Total tumor burden and radiomics to evaluate response in dose escalation studies: Roginolisib (IOA-244), a highly selective PI3Kd inhibitor in metastatic uveal melanoma patients
Presenter: Anna Di Giacomo
Session: Poster Display session
Resources:
Abstract