2. Academic Validation
  3. Defining and Targeting Adaptations to Oncogenic KRASG12C Inhibition Using Quantitative Temporal Proteomics

Defining and Targeting Adaptations to Oncogenic KRASG12C Inhibition Using Quantitative Temporal Proteomics

  • Cell Rep. 2020 Mar 31;30(13):4584-4599.e4. doi: 10.1016/j.celrep.2020.03.021.
Naiara Santana-Codina 1,  Amrita Singh Chandhoke 1,  Qijia Yu 1,  Beata Małachowska 2,  Miljan Kuljanin 1,  Ajami Gikandi 1,  Marcin Stańczak 2,  Sebastian Gableske 1,  Mark P Jedrychowski 3,  David A Scott 4,  Andrew J Aguirre 5,  Wojciech Fendler 6,  Nathanael S Gray 4,  Joseph D Mancias 7
Affiliations

Affiliations

  • 1 Division of Radiation and Genome Stability, Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • 2 Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz 92-215, Poland.
  • 3 Division of Radiation and Genome Stability, Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
  • 4 Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • 5 Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • 6 Division of Radiation and Genome Stability, Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz 92-215, Poland.
  • 7 Division of Radiation and Genome Stability, Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Electronic address: [email protected].
PMID: 32234489 DOI: 10.1016/j.celrep.2020.03.021
Abstract

Covalent inhibitors of the KRASG12C oncoprotein have recently been developed and are being evaluated in clinical trials. Resistance to targeted therapies is common and may limit long-term efficacy of KRAS inhibitors (KRASi). To identify pathways of adaptation to KRASi and predict drug combinations that circumvent resistance, we use mass-spectrometry-based quantitative temporal proteomics to profile the proteomic response to KRASi in pancreatic and lung Cancer 2D and 3D cellular models. We quantify 10,805 proteins, representing the most comprehensive KRASi proteome (https://manciaslab.shinyapps.io/KRASi/). Our data reveal common mechanisms of acute and long-term response between KRASG12C-driven tumors. Based on these proteomic data, we identify potent combinations of KRASi with phosphatidylinositol 3-kinase (PI3K), HSP90, CDK4/6, and SHP2 inhibitors, in some instances converting a cytostatic response to KRASi monotherapy to a cytotoxic response to combination treatment. Overall, using quantitative temporal proteomics, we comprehensively characterize adaptations to KRASi and identify combinatorial regimens with potential therapeutic utility.

Keywords

KRAS(G12C); lung cancer; mass spectrometry; pancreatic cancer; quantitative temporal proteomics; therapeutic resistance.

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