Active Cancer Genetics & Molecular Biology

The regulatory logic underlying lineage-specific vulnerabilities to genetic PI3Kα activation.

In plain English

AI plain-English summary

A single mutation in a gene called *PIK3CA* can cause cells to grow out of control, leading to either cancer or a rare set of birth defects known as PROS (PIK3CA-related overgrowth spectrum), but the same mutation does not affect every cell type equally. Why this matters: In PROS, the mutation appears early in development but only causes overgrowth in certain tissues—for example, it might enlarge a limb but leave the brain untouched. Researchers do not understand why this cell-type restriction occurs. Without that knowledge, treatments remain blunt tools that cannot target only the affected cells. What the research does: The scientist will track how the E545K mutation changes developing cells over time, using single-cell RNA sequencing to see which genes turn on and CyTOF to measure signalling proteins. By comparing mutant and healthy cells, computational models will predict which molecular pathways drive the abnormal growth. If those pathways can be experimentally blocked to “rescue” mutant cells back to a normal state, the work would reveal new therapeutic targets for both PROS and PI3K-driven cancers. This is fundamental science—it asks how a single genetic change produces different outcomes in different tissues. A clearer understanding of that regulatory logic could eventually lead to tissue-specific treatments that spare healthy cells.

View original technical description
The PI3K pathway is vital for cell survival and growth. Class IA PI3K enzymes are formed from a catalytic (p110α, p110β, p110γ) and one of 5 regulatory subunits. Mutations in PIK3CA, encoding p110α, causes many diseases including cancer and a rare group of disorders termed PIK3CA-related overgrowth spectrum (PROS). 80% of PIK3CA mutations are strongly-activating, ‘hotspot’ mutations, located in the kinase (H1047R) or helical (E545/E542K) domains of p110α. In PROS, mutations occur early in development with ‘hotspot’ mutations showing cell type restriction. We want to understand why and how this occurs to help drive better treatments for PROS patients. I will begin to address this question by generating datasets that capture how the E545K helical mutation impacts developmental processes (scRNAseq) and signalling (CyTOF) over time. This will allow the identification of contexts where mutant and healthy cells behave differently. Using computational frameworks, the combined datasets will allow me to predict how the mutation is driving differential cell states, and these mechanisms will be experimentally targeted to see if this will rescue the mutant cell states. If mutant cells are successfully rescued, then this would indicate new potential therapeutic strategies for PI3K-driven disease.

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Researchers

Alexandra Musk (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Class IA PI 3-kinase isoforms in oncogenic signalling
Modelling of Mosaic PIK3CA Related Overgrowth Spectrum (PROS) using induced Pluripotent Stem Cells
New biology of oncogenic PI 3-kinase
Investigation of Metabolic and Growth-related Diseases Associated with Mutations in Phosphoinositide-3-kinase, Catalytic, Alpha Polypeptide (PIK3CA).
New signalling mechanisms of pi 3-kinase

Original classification

PhD Studentship (Basic)

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