Tumor microenvironment immunomodulation by nanoformulated TLR 7/8 agonist and PI3k delta inhibitor enhances therapeutic benefits of radiotherapy.
Mostafa YazdimamaghaniOleg V KolupaevChaemin LimDuhyeong HwangSonia J LaurieCharles M PerouAlexander V KabanovJonathan S SerodyPublished in: bioRxiv : the preprint server for biology (2024)
Infiltration of immunosuppressive cells into the breast tumor microenvironment (TME) is associated with suppressed effector T cell (Teff) responses, accelerated tumor growth, and poor clinical outcomes. Previous studies from our group and others identified infiltration of immunosuppressive myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs) as critical contributors to immune dysfunction in the orthotopic triple-negative breast cancer (TNBC) tumor model limiting the efficacy of adoptive cellular therapy. However, approaches to target these cells specifically in the TME are currently lacking. To overcome this barrier, polymeric micelles nanoparticles (PMNPs) were used for co-delivery of small molecule drugs activating Toll-like receptors 7 and 8 (TLR7/8) and inhibiting PI3K delta. The immunomodulation of the TME by TLR7/8 agonist and PI3K inhibitor altered macrophage polarization, reduced MDSC accumulation and selectively decreased tissue-resident Tregs in the TME, while enhancing the T and B cell adaptive immune response. PMNPs significantly enhanced the anti-tumor activity of local radiation therapy (RT) in mice bearing orthotopic TNBC tumors compared to RT alone. Taken together, these data demonstrate that RT combined with a nanoformulated immunostimulant restructured the TME and has promising potential for future translation combined with RT for patients with TNBC.
Keyphrases
- immune response
- regulatory t cells
- induced apoptosis
- radiation therapy
- small molecule
- cell cycle arrest
- toll like receptor
- signaling pathway
- dendritic cells
- inflammatory response
- drug delivery
- oxidative stress
- cell therapy
- endoplasmic reticulum stress
- early stage
- cell death
- type diabetes
- skeletal muscle
- metabolic syndrome
- patient safety
- big data
- stem cells
- machine learning
- quality improvement
- mesenchymal stem cells
- deep learning
- case control
- data analysis
- insulin resistance