Anti-tumor activity of a novel LAIR1 antagonist in combination with anti-PD-1 to treat collagen-rich solid tumors.
B Leticia RodriguezJiawei HuangLaura GibsonJared F FradetteHung-I Harry ChenKikuye KoyanoCzrina CortezBetty LiCarmence HoAmir M AshiqueVicky Y LinSuzanne CrawleyJulie M RodaPeirong ChenBin FanJeong KimJames SissonsJonathan SitrinDaniel D KaplanDon L GibbonsLee B RiveraPublished in: Molecular cancer therapeutics (2024)
We recently reported that resistance to PD-1-blockade in a refractory lung cancer-derived model involved increased collagen deposition and the collagen-binding inhibitory receptor leukocyte-associated immunoglobulin-like receptor 1 (LAIR1), and thus we hypothesized that LAIR1 and collagen cooperated to suppress therapeutic response. Here, we report LAIR1 is associated with tumor stroma and is highly expressed by intratumoral myeloid cells in both human tumors and mouse models of cancer. Stroma-associated myeloid cells exhibit a suppressive phenotype and correlate with LAIR1 expression in human cancer. NGM438, a novel humanized LAIR1 antagonist monoclonal antibody, elicits myeloid inflammation and allogeneic T cell responses by binding to LAIR1 and blocking collagen engagement. Further, a mouse-reactive NGM438 surrogate antibody sensitized refractory KP mouse lung tumors to anti-PD-1 therapy and resulted in increased intratumoral CD8+ T cell content and inflammatory gene expression. These data place LAIR1 at the intersection of stroma and suppressive myeloid cells and support the notion that blockade of the LAIR1/collagen axis can potentially address resistance to checkpoint inhibitor therapy in the clinic.
Keyphrases
- induced apoptosis
- bone marrow
- cell cycle arrest
- gene expression
- monoclonal antibody
- dendritic cells
- acute myeloid leukemia
- endothelial cells
- wound healing
- tissue engineering
- oxidative stress
- papillary thyroid
- endoplasmic reticulum stress
- dna damage
- cell death
- signaling pathway
- primary care
- poor prognosis
- mouse model
- squamous cell carcinoma
- stem cell transplantation
- binding protein
- induced pluripotent stem cells
- squamous cell
- mesenchymal stem cells
- artificial intelligence
- cell proliferation
- machine learning
- data analysis