Abstract 208P
Background
Bladder cancer (BC) represents the fourth most common cancer in men with a poor patient prognosis for advanced disease. The poor survival of these muscle-invasive bladder cancer (MIBC) patients emphasizes the obvious need to improve their therapies. Checkpoint inhibitors that block the PD-1/PD-L1 axis were successfully introduced in routine medicine. However, only 15=25% of patients with MIBC respond to this treatment. Understanding why MIBC do not respond to these treatments and developing new therapeutic strategies are urgently needed.
Methods
Using an anti-PD1-resistant mouse model of BC already developed in the lab, we characterized tumor-associated macrophage (TAMs) evolution over tumor progression.
Results
We identified a subset of pro-tumor TAMs that expressed CXCR4 which increased in advanced stages. Data on human MIBC samples confirmed the presence of CXCR4+ macrophages in the tumor core and the increase of its ligand in the serum of patients compared to healthy donors. Interestingly, upon administration of a CXCR4 inhibitor, we strongly reduced macrophage number within the tumor and significantly prolonged mice survival. Combining the CXCR4 inhibitor with immunotherapy increased the survival of MIBC-bearing mice.
Conclusions
Thanks to study of a pre-clinical model recapitulating the human disease and study in patients, we selected the CXCR4/CXCL12 pathway as a promising target to decrease pro-tumor macrophages in MIBC and to improve therapeutic management.
Legal entity responsible for the study
The authors.
Funding
Swiss Cancer Research foundation ISREC Foundation.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
43P - Machine learning radiomics based on CT to predict response to lenvatinib plus tislelizumab based therapy for unresectable hepatocellular carcinoma
Presenter: Gang Chen
Session: Poster Display session
Resources:
Abstract
44P - Machine learning-based prediction of survival in patients with metastatic renal cell carcinoma receiving first-line immunotherapy
Presenter: Ahmed Elgebaly
Session: Poster Display session
Resources:
Abstract
45P - Gut microbiome signatures for exploring the correlation between gut microbiome and immune therapy response using machine learning approach
Presenter: Han Li
Session: Poster Display session
Resources:
Abstract
46P - Abnormal gut microbiota may cause PD-1 inhibitor-related cardiotoxicity via suppressing regulatory T cells
Presenter: Zeeshan Afzal
Session: Poster Display session
Resources:
Abstract
47P - Correlation of clinical, genetic and transcriptomic traits with PD-L1 positivity in TNBC patients
Presenter: Anita Semertzidou
Session: Poster Display session
Resources:
Abstract
48P - The A2AR antagonist inupadenant promotes humoral responses in preclinical models
Presenter: Paola Tieppo
Session: Poster Display session
Resources:
Abstract
49P - Highly potent novel armoured IL13Ra2 CAR T cell targeting glioblastoma
Presenter: Maurizio Mangolini
Session: Poster Display session
Resources:
Abstract
50P - Phase I trial of P-MUC1C-ALLO1 allogeneic CAR-T cells in advanced epithelial malignancies
Presenter: David Oh
Session: Poster Display session
Resources:
Abstract
51P - Unlocking CAR-T cell potential: Lipid metabolites in overcoming exhaustion in ovarian cancer
Presenter: Xiangyu Chang
Session: Poster Display session
Resources:
Abstract
52P - Tumor-targeted cytokine release by genetically-engineered myeloid cells rescues CAR-T activity and engages endogenous T cells against high-grade glioma in mouse models
Presenter: Federico Rossari
Session: Poster Display session
Resources:
Abstract