Proteogenomic Network Analysis of Context-Specific KRAS Signaling in Mouse-to-Human Cross-Species Translation

Douglas K Brubaker1, Joao A Paulo2, Shikha Sheth3

  • 1Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.

Cell Systems
|September 16, 2019
PubMed

Insights

This study reveals how KRAS mutations impact colorectal carcinoma (CRC) and pancreatic ductal adenocarcinoma (PDAC) signaling differently based on tissue context. Integrating mouse and human data identified new therapeutic targets for KRAS-driven cancers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Systems Biology

Background:

  • KRAS mutations are frequent drivers in colorectal carcinoma (CRC) and pancreatic ductal adenocarcinoma (PDAC).
  • Targeting KRAS oncogenicity is challenging due to limited understanding of signaling modulation by contextual cues.
  • Context-specific signaling alterations by mutant KRAS impact therapeutic strategies.

Purpose of the Study:

  • To investigate how tissue context and genetic background modulate oncogenic signaling in KRAS-mutant cancers.
  • To identify novel therapeutic targets by integrating mouse and human cancer datasets.
  • To understand the context-dependent plasticity of oncogenic KRAS signaling.

Main Methods:

  • Mass spectrometry was employed on mouse tissues with wild-type or mutant Kras.
  • Proteomic and phosphoproteomic analyses were performed on preneoplastic and neoplastic colon and pancreas.
  • A statistical approach was developed to "humanize" mouse networks with human cancer data.

Main Results:

  • Mutant Kras significantly altered proteomes and phosphoproteomes in a context-specific manner in colon and pancreas.
  • Humanized CRC and PDAC networks revealed genes synthetically lethal with mutant KRAS.
  • Non-canonical mediators of KRAS oncogenicity were identified within the signaling network.

Conclusions:

  • Oncogenic KRAS signaling exhibits context-dependent plasticity.
  • Statistical integration of cross-species data can uncover therapeutic insights.
  • This study provides a framework for identifying novel therapeutic targets in KRAS-driven cancers.

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