Structural and Dynamic Analyses of Pathogenic Variants in PIK3R1 Reveal a Shared Mechanism Associated among Cancer,

Nikita R Dsouza1, Catherine E Cottrell2,3, Olivia M T Davies4

  • 1Computational Structural Genomics Unit, Genomics Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

PubMed

Insights

Genetic variants in PIK3R1 can cause both overgrowth and undergrowth conditions. Simulations reveal how these PIK3R1 variants impact PI3K enzyme activity, offering insights for potential therapies.

Area of Science:

  • Biochemistry
  • Genetics
  • Molecular Biology

Background:

  • Phosphoinositide 3-kinase (PI3K) enzymes regulate crucial cellular processes like growth and differentiation.
  • Somatic variants in PI3K are implicated in cancer proliferation, while PIK3R1 variants are linked to vascular anomalies, overgrowth syndromes, and SHORT syndrome.

Purpose of the Study:

  • To investigate the molecular mechanisms underlying the opposing phenotypes (undergrowth vs. overgrowth) associated with PIK3R1 variants.
  • To interpret the effects of genomic variants in PIK3R1 using physics-based simulations.

Main Methods:

  • Compiled genomic variants from cancer and rare vascular anomalies.
  • Applied molecular dynamics simulations to analyze the impact of PIK3R1 variants on PI3K complex interactions.
  • Assessed structural characteristics and intermolecular interaction energy of PIK3R1 variants.

Main Results:

  • Undergrowth-associated iSH2 variants destabilize PIK3R1 interactions with PIK3CA, suggesting decreased activity.
  • Overgrowth and cancer-associated variants lead to loss of inhibitory interactions, suggesting increased PI3K activity.
  • All disease-associated variants demonstrated functional impairments in structural or interaction properties.

Conclusions:

  • This study provides a mechanistic understanding of how PIK3R1 variants lead to opposing growth phenotypes.
  • The findings highlight the biomedical relevance of characterizing mosaic somatic variants.
  • The comprehensive analysis may inform the development of targeted therapeutic strategies for related disorders.

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