We use mechanistic studies in genetically engineered models and PDX culture systems to:

Examine how adaptive kinome changes contribute to kinase inhibitor resistance

Integrated proteomics and genomics analyses are critical for this work.  These include kinome profiling using multiplex inhibitor beads and mass spectrometry (MIB-MS) and RNA-seq to examine drug-induced changes in the kinome and kinase transcriptome.

PI3K inhibition with buparlisib (BKM120) induces dynamic, adapative kinome changes in murine TRP astrocytes as determined by MIB-MS over 4-48 h (A).  Dynamics of select kinases illustrated 3 response types: sustained inhibition (pattern 1, blue), reactivation (pattern 2, green), and alternate pathway activation (pattern 3, red). Graphs show the first kinase listed.

McNeill et al.  Neuro-oncology 19(11):1469 2017

Define the kinome of human glioma model systems and tumors

We perform MIB-MS kinome and RNA-seq transcriptome profiling on established human glioma cell lines, PDX cultures, and human gliomas to identify kinase networks that may be useful for disease classification, improved molecular diagnostics, and development of predictive biomarkers for kinase inhibitor therapies.

GBMs have heterogeneous kinomes. Heterogeneous kinome activity was evident in (A) established cell lines (ECL) and (B) tumor samples from human GBM patients. (C) Principal components analysis showed 2 kinome subtypes of human tumors (K1, K2). (D) K1 had hyperactivation relative to K2 (E) tumors. Kinases with ≥2x (red) or ≤0.4x (blue) relative MIB binding are indicated; other detected kinases (black). A waterfall plot shows the most differentially activated kinases (F). Kinases significantly (P < 0.05) enriched in K1 (black) and K2 (red) are indicated (*). Heterogeneous kinome activity was also evident in subcutaneous GBM PDX (G, Supplementary Figure S5C). Principal components analysis demonstrated that although variable, biologic replicates of subcutaneous GBM PDX were more similar to each other than to different PDX models (H).

McNeill et al.  Neuro-oncology 19(11):1469 2017

References

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  2. Wu J, Frady LN, Bash RE, Cohen SM, Schorzman AN, Su YT, Irvin DM, Zamboni WC, Wang X, Frye SV, Ewend MG, Sulman EP, Gilbert MR, Earp HS, Miller CR. MerTK as a therapeutic target in glioblastoma.  Neuro-oncology. 20(1):92-102 Jan 2018.  PMID: 28605477  PMCID:  PMC5761530
  3. McNeill RS, Canoutas DA, Stuhlmiller TJ, Dhruv HD, Irvin DM, Bash RE, Angus SP, Herring LE, Simon JM, Skinner KR, Limas JC, Chen X, Schmid RS, Siegel MB, Van Swearingen AED, Hadler MJ, Sulman EP, Sarkaria JN, Anders CK, Graves LM, Berens ME, Johnson GL, Miller CR. Combination therapy with potent PI3K and MAPK inhibitors overcomes adaptive kinome resistance to single agents in preclinical models of glioblastoma.  Neuro-oncology.  19(11):1469-1480 Oct 2017.  PMID: 28379424  PMCID:  PMC5737415
  4. Van Swearingen AED, Sambade MJ, Siegel MB, Sud S, McNeill RS, Bevill SM, Chen X, Bash RE, Mounsey L, Golitz BT, Santos C, Deal A, Parker JS, Rashid N, Miller CR, Johnson GL, Anders CK. Combined kinase inhibitors of MEK1/2 and either PI3K or PDGFR are efficacious in intracranial triple-negative breast cancer.  Neuro-oncology.  19(11):1481-1493 Oct 2017.  PMID: 28486691  PMCID:  PMC5737524
  5. McNeill RS, Vitucci M, Wu J, Miller CR.  Contemporary murine models in preclinical astrocytoma drug development.  Neuro-oncology.  17(1):12-28 Jan 2015.  PMID: 25246428  PMCID: PMC4483055
  6. McNeill RS, Schmid RS, Bash RE, Vitucci M, White KK, Werneke AM, Constance BH, Huff B, Miller CR.  Modeling astrocytoma pathogenesis in vitro and in vivo using cortical astrocytes or neural stem cells from conditional, genetically engineered mice.  Journal of Visualized Experiments.  90:e51763 Aug 2014.  PMID: 25146643
  7. Vitucci M, Karpinich NO, Bash RE, Werneke AM, Schmid RS, White KK, McNeill RS, Huff B, Wang S, Van Dyke T, Miller CR.  Cooperativity between MAPK and PI3K signaling activation is required for glioblastoma pathogenesis.  Neuro-oncology.  15(10):1317-1329 Oct 2013.  PMID: 23814263  PMCID: PMC3779038