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Identifying Cancer-Relevant Mutations in the DLC START Domain Using Evolutionary and Structure-Function Analyses.

Ashton S Holub1,2, Renee A Bouley3, Ruben C Petreaca4

  • 1Department of Molecular Genetics, The Ohio State University, Columbus, OH 43215, USA.

International Journal of Molecular Sciences
|November 4, 2020
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Summary
This summary is machine-generated.

Deleted in liver cancer (DLC) proteins regulate Rho GTPase signaling to suppress tumors. Conserved residues in their START domains are frequently mutated across cancers, suggesting a novel therapeutic target for cancer treatment.

Keywords:
COSMICcomputational genomicsevolutionligand-binding domainnovel druggable therapeutic targetsstructure-function analysistumor suppressor

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Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Rho GTPase signaling drives cancer progression, including proliferation, invasion, and metastasis.
  • The Deleted in Liver Cancer (DLC) protein family acts as tumor suppressors by inactivating Rho GTPases.
  • DLC proteins possess both RhoGAP and StAR-related lipid transfer (START) domains, with the START domain implicated in tumor suppression.

Purpose of the Study:

  • To identify conserved residues within the START domains of DLC proteins crucial for their tumor-suppressive functions.
  • To investigate the role of the START domain in DLC-mediated cancer regulation.
  • To explore novel strategies for identifying cancer-relevant mutations.

Main Methods:

  • Utilized the Catalogue of Somatic Mutations in Cancer (COSMIC) dataset.
  • Performed evolutionary and structure-function analyses.
  • Analyzed tertiary structural interactions of DLC proteins.

Main Results:

  • Identified conserved residues in DLC-1 and DLC-2 START domains critical for tumor suppression.
  • Found these conserved residues are overrepresented in cancer cells across various tissues.
  • Observed that mutations in these residues disrupt START domain structure and interactions, suggesting a novel mechanism of oncogenesis.

Conclusions:

  • Evolutionary and structure-function analyses are valuable for uncovering cancer-relevant mutations in COSMIC.
  • DLC-1 and DLC-2 START domains represent promising therapeutic targets for novel cancer treatments.