Author

Kevin Raynard Mott

University of North Carolina at Chapel HillORCID 0000-0002-9822-5253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Charles M. PerouiD· 2 shared Denis O. OkumuiD· 2 shared Gary L. JohnsoniD· 2 shared Matthew D. SutcliffeiD· 2 shared Michael P. EastiD· 2 shared Adam D. PfefferleiD· 1 shared Alexander LobanoviD· 1 shared Anna R. MichmerhuizeniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersCancer Biology

Charles M. PerouORCID

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2 papers

Recent·Most cited

Vulnerability of triple negative breast cancer to daraxonrasib pan-RAS(on) inhibition

Michael P. East, José F. Olivares-Quintero, Denis O. Okumu, Kevin Raynard Mott, Robert W. Sprung, Austin A. Whitman, Chinmaya U. Joisa, Xin Chen, Qiang Zhang, Petra Erdmann-Gilmore, Yiling Mi, James P. Malone, Sonam Bhatia, Ian C. McCabe, Yi Xu, , Gary L. Johnson

This study shows that daraxonrasib, a pan-RAS(on) inhibitor, effectively inhibits TNBC cell proliferation and tumor growth, either alone or in combination with a MEK inhibitor.

bioRxiv · Sep 18, 2026 · PreprintCancer Biology

Transcriptomic profiling of mouse mammary tumors enables prognostic and predictive biomarker discovery for human breast cancers

Matthew D. Sutcliffe, Kevin Raynard Mott, Tulay Yilmaz-Swenson, Brooke Felsheim, Alexander Lobanov, Anna R. Michmerhuizen, Patrick D. Rädler, Denis O. Okumu, Xiaping He, Adam D. Pfefferle, Stephanie T. Dance-Barnes, Christian Brueffer, Lao H. Saal, Michael P. East, Daniel P. Hollern, , Charles M. Perou

This paper uses mouse mammary tumor data to train machine learning models predicting human breast cancer survival and treatment response.

Cancer Research · Aug 14, 2026Peer-reviewedCancer Biology