Professor Mariaelena Pierobon

MD, MPH

School of Medicine and Population Health

Professor of Applied Molecular Oncology

Mariaelena Pierobon
Mariaelena Pierobon
Profile picture of Mariaelena Pierobon
m.pierobon@sheffield.ac.uk

Full contact details

Professor Mariaelena Pierobon
School of Medicine and Population Health
DU37, D Floor
The Medical School
Beech Hill Road
Sheffield
S10 2RX
Qualifications

Medical Degree Universita’ degli Studi di Padova (Padova, Italy)
Master’s in Public Health George Mason University (Fairfax, VA, USA)

Research interests

My research programme focuses on the molecular mechanisms that shape tumour progression and therapeutic resistance, with the aim of identifying vulnerabilities that can be used to improve treatment options for patients with advanced and hard‑to‑treat malignancies. I integrate mechanistic cancer biology, functional proteomics, and multi‑omic approaches to define how oncogenic signalling networks malfunction and how these alterations can be used to inform therapeutic strategies.

A consistent feature of my programme is its translational orientation. Findings generated in the laboratory are evaluated in clinical settings through biomarker‑driven patient stratification, functional profiling of patient samples, and studies that connect molecular mechanisms with therapeutic response. This approach has supported clinical investigations across several cancer types and has contributed to work on treatment resistance, adaptive signalling, and precision‑guided therapy selection.

Research themes include:

  • Overcoming therapeutic resistance in breast cancer: defining mechanisms of CDK4/6 inhibitor resistance and developing strategies to counter them in HR+/HER2‑ disease.
  • Decoding oncogenic protein dysfunction: mapping non-canonical functions, protein-protein interactions, and isoform dynamics of dysregulated oncogenic proteins, with a focus on how overexpressed oncoproteins lose canonical activity and adopt scaffolding roles in alternative cellular compartments, and how these behaviours shift therapeutic strategies from inhibition to targeted degradation.
  • Preventing lineage plasticity: identifying windows of vulnerability that can be targeted to block phenotypic switching and tumour evolution.
  • Integrating functional signalling analysis into precision medicine: using proteomic and signalling network profiling of patient samples within multi-omic frameworks to guide clinical decision making and improve patient stratification and therapeutic selection.
Publications

Journal articles

Book chapters