Abstract 203P
Background
The interaction between the immune system and the tumor microenvironment significantly impacts cancer progression and treatment response. Macrophages, with their diverse functional states, play a crucial role in this interplay. Identifying accurate markers for macrophage infiltration is vital for understanding their roles and therapeutic potential.
Methods
Immunai addresses this challenge by developing single cell atlases. Employing state-of-the-art single cell RNA sequencing (scRNA-seq) technologies, Immunai generates comprehensive and high-resolution transcriptomics data from diverse tumor samples, encompassing a wide range of cancer types. The establishment of scRNA-seq data atlases and references enables the identification of distinct macrophage populations within the tumor microenvironment, as well as their heterogeneity and functional states. Utilizing advanced computational algorithms and analytical pipelines, Immunai systematically analyses scRNA-seq datasets to uncover specific molecular signatures associated with macrophage infiltration.
Results
In the presented work, Immunai's approach enabled the discovery of novel macrophage-specific markers that can serve as valuable tools for both basic research and clinical applications. The identified markers offer insights into the dynamic nature of macrophage populations within the tumor microenvironment and provide potential avenues for the development of immunotherapies targeting tumor-associated macrophages. Moreover, these markers hold promise as diagnostic and prognostic indicators, aiding in patient stratification and personalized treatment strategies.
Conclusions
Immunai's approach provides a significant contribution to immuno-oncology and novel therapeutic approaches.
Legal entity responsible for the study
Immunai.
Funding
Immunai.
Disclosure
The author has declared no conflicts of interest.
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