abstract AACR Cancer Research
With the recent advent of immunotherapy, there is a critical need to
understand immune cell interactions in the tumor microenvironment in
both pan-cancer and tissue-specific contexts. Multi-dimensional datasets
have enabled systematic approaches to dissect these interactions in
large numbers of patients, furthering our understanding of the patient
immune response to solid tumors. Using an integrated approach, we
infered the infiltration levels of distinct immune cell subsets in 23
tumor types from The Cancer Genome Atlas. From these quantities, we
constructed a co-infiltration network, revealing interactions between
cytolytic cells and myeloid cells in the tumor microenvironment. By
integrating patient mutation data, we show that while mutation burden
was associated with immune infiltration differences between distinct
tumor types, additional factors may explain immunogenic differences
between tumors originating from the same tissue. Finally, we examined
the prognostic value of individual immune cell subsets as well as how
co-infiltration of functionally discordant cell types associated with
patient survival. We showed in multiple tumor types that the protective
effect of CD8+ T cell infiltration was heavily modulated by
co-infiltration of macrophages and other myeloid cell types, suggesting
the involvement of myeloid-derived suppressor cells in tumor
development. Our findings illustrate complex interactions between
different immune cell types in the tumor microenvironment and indicate
these interactions play meaningful roles in patient survival. These
results demonstrate the importance of personalized immune response
profiles when studying the factors underlying tumor immunogenicity and
immunotherapy response.
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