Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display

203P - Identification of High Confidence Candidate Markers for Macrophage Infiltrating Tumor Microenvironment through Single Cell Genomic Atlases

Date

07 Dec 2023

Session

Poster Display

Presenters

Constance Ciaudo Beyer

Citation

Annals of Oncology (2023) 20 (suppl_1): 100621-100621. 10.1016/iotech/iotech100621

Authors

C. Ciaudo Beyer

Author affiliations

  • Nebion AG, Zurich/CH

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

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.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.