bioRxivCancer BiologyPreprint
Phenotype-dependent subtyping exposes high MYC activity as a targetable dependency in LuAd
Sarah LaingiD, Isabel DyeiD, Ryan M. ByrneiD, Eva C. FreckmanniD, Robin ShawiD, Shahanawaz Ali, Sophie Heese, Yoana DonchevaiD, Catherine FickeniD, Jennifer DoigiD, Sudhir B. MallaiD, Saira Ghafoor, Sophie McLaughlin, Colin NixoniD, Graeme ClarkiD, Leah Officer-JonesiD, Emily HoeyiD, Claire Kennedy DietrichiD, Nicola BradyiD, Douglas StrathdeeiD, I. McNeishiD, John P. C. Le QuesneiD, Crispin J. MilleriD, Karen BlythiD, Matthew FuchteriD, , Daniel J. MurphyiD
Abstract
C-MYC (MYC) occupies a critical nexus of oncogenic signalling and deregulated expression of MYC is widespread across most human cancer types, suggesting that MYC should be an attractive target for therapeutic intervention. Although 30-40% of human Non-Small Cell lung cancers show low level amplification of c-MYC and genetic evidence has shown that c-Myc is a key downstream effector of KRas-driven lung tumourigenesis in mouse models, the functional contribution of MYC to human lung cancer remains unclear. We applied a phenotype-based classifier to the TCGA Lung Adenocarcinoma (LuAd) cohort and found that high MYC transcriptional activity identifies a subset of LuAd with significantly reduced survival. Application of the same methodology to a panel of genetically engineered mouse models identified multiple genotypes that give rise to the high MYC activity phenotype, disease positioning such models as reflective of a distinct subset of human LuAd. We show that high MYC activity predicts sensitivity to a small molecule dual-inhibitor of the MYC co-factors, EZH2 and G9A, HKMTi-1-005, and that treatment with HKMTi-1-005 strongly reduced MYC protein expression, induced B cell-mediated immune surveillance and suppressed growth of autochthonous KRasG12D-driven lung tumours. Statement of significanceThis work establishes the principle of indirectly targeting MYC in LuAd, via inhibition of associated enzymatic cofactors, EZH2 and G9A, and identifies a large subset of aggressive human LuAd with a high MYC activity signature that may benefit from this approach.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 0
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