bioRxivCancer BiologyPreprint
Cross-species analysis identifies genotype-driven vulnerabilities in lung adenocarcinoma
Angeliki KaratzaiD, Maayan PouriD, Jaylen M Powell, Yuan HaoiD, Dimitris NasiasiD, Yi Jer TaniD, Alfonso LopeziD, Metamia CiampricottiiD, Chengwei PengiD, Àlvaro Quintanal-VillalongaiD, Yeuan Ting LeeiD, Rüveyda AyasuniD, Muhammad Elnaggar, Priyanka SahuiD, Igor DolgaleviD, Hai HuiD, Luis A. ChiribogaiD, Cynthia A. LoomisiD, Daniel AndrussieriD, Magdalena A. PloszajiD, Aristotelis TsirigosiD, Peter MeyniD, Fred P. DavisiD, Nicolas StranskyiD, Gromoslaw Aleksander SmoleniD, , Kwok‐Kin WongiD
Abstract
While three major genetic alteration subsets, characterized by mutations in STK11, KRAS, and EGFR, are seminal in driving tumorigenesis in LUAD, their distinct effects on tumor cells and the tumor microenvironment are not fully understood. Here, we map critical oncogenic subset-specific vulnerabilities by identifying conserved cell-type-specific reprogrammings between human and mouse LUAD. Through harmonized scRNA-seq analysis of 57 human and 18 mouse specimens, we unveil that genetic alterations impose genotype-specific immune imprints on the tumor microenvironment: KRAS is associated with a transitional immune state, whereas STK11 and EGFR mutations define discrete and contrasting immune phenotypes. We find that STK11-mutant tumors exhibit complement and interferon-rich immune microenvironments while EGFR-mutant tumors harbor a naive T cell-rich phenotype accompanied by a global HLA downregulation, stress-responsive alveolar macrophages marked by MARCO. In the epithelial compartments, cross-species analysis reveals metabolic dependencies, including OGDH in EGFR- and PDE4D in STK11-mutant cells. Statement of SignificanceThis study delineates oncogenotype-specific molecular and immune imprints in lung adenocarcinoma, revealing STK11-, KRAS-, and EGFR-mutated tumors as transcriptionally and immunologically discrete ecosystems. By mapping epithelial vulnerabilities alongside immune imprints, we unveil genotype-imposed dependencies that inform the rational development of precision therapies with direct translational relevance.
- organism: human
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- approach: deep learning
- Citations
- 0
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