Nature ImmunologyImmunologyPeer-reviewed journal article
Differential Assembly of Mouse and Human Tumor Microenvironments
Tristan CourauiD, Rebecca Garrett JaszczakiD, Bushra SamadiD, Emily FlynniD, Nayvin W. ChewiD, Gabriella C. ReederiD, Jessica L. TsuiiD, Semhar Teklu, Lomax F. Pass, Austin W. EdwardsiD, Mohammad Naser, Arja RayiD, Harrison WismeriD, Daniel G. BunisiD, Leonard C. Lupin-JimeneziD, Noah Veis GaviliD, David MasopustiD, John P. GrahamiD, Daniel A. SkellyiD, Xavier VescoiD, Edison T. LiuiD, Gabriela K. FragiadakisiD, Alexis J. CombesiD, Matthew F. KrummeliD
Abstract
Mouse models are frequently used to develop treatments for human cancer. Yet, we lack a comprehensive understanding of the comparative organization of mouse and human tumor microenvironments (mu/huTMEs). Through immunoprofiling of commonly used mouse models, we found that the immune composition of most muTMEs resemble poorly infiltrated human tumors extensively biased toward high macrophages densities. Relatedly, we discover species-specific biases of chemokine expression networks, factors which drive TMEs assembly. Further, assessing coarse cellular networks, we find conserved correlations between some immune cell frequencies, while other relationships only appear conserved in the huTMEs matching muTME profiles. Despite this variable alignment, we define robust cell type-specific gene expression programs conserved in TMEs across species and cohorts and identify ones that are coordinated between cell populations in both species. Together, we isolate and offer methods to study the multiple areas of hazard and opportunities for using mice to model human cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=192 HEIGHT=200 SRC="FIGDIR/small/661217v1_ufig1.gif" ALT="Figure 1"> View larger version (71K): org.highwire.dtl.DTLVardef@22bcf7org.highwire.dtl.DTLVardef@a410b7org.highwire.dtl.DTLVardef@1455eb5org.highwire.dtl.DTLVardef@14cc6f5_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- research focus: cancer & tumor microenvironment
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- approach: statistical model
- Citations
- 15
- FWCI
- 37.09
- Field percentile
- top 1%
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