Research

Our Research

Zadeh Lab investigates the molecular and cellular mechanisms that drive brain tumor development, progression, and response to treatment. Through integrated genomic, epigenomic, and computational analyses, our research seeks to better understand differences between tumors, identify biomarkers of disease behavior, and develop more precise approaches to diagnosis and treatment.

A central focus is meningioma, including molecular classification, tumor heterogeneity, the tumor microenvironment, and predictors of recurrence and treatment response. Our work also extends to gliomas and other brain tumors, integrating laboratory discoveries with clinical data to inform more individualized care.

Working with clinical and scientific collaborators at Mayo Clinic, University Health Network, and internationally, we aim to translate findings from tumor biology into practical tools that support clinical decision-making and the development of new therapeutic strategies.

View Dr. Zadeh’s publications on PubMed

Selected publications

Scientific image associated with Intercellular adhesion molecule 1 links glioblastoma biology to a scalable prognostic model integrating clinical, imaging, and molecular features
JULY 2026  ·  Neuro-Oncology Advances

Intercellular adhesion molecule 1 links glioblastoma biology to a scalable prognostic model integrating clinical, imaging, and molecular features

Gandhi S et al.

View publication on PubMed ↗
Scientific image associated with Modern molecular profiling recontextualizes the NRG/RTOG 0539 trial and reveals hidden high-risk and radiotherapy-resistant meningiomas
JULY 2026  ·  Neuro-Oncology

Modern molecular profiling recontextualizes the NRG/RTOG 0539 trial and reveals hidden high-risk and radiotherapy-resistant meningiomas

Multi-institutional investigators

View publication on PubMed ↗
Scientific image associated with Spatially resolved single-cell analyses of human meningioma identify novel cell states influencing tumor microenvironment and progression
JUNE 2026  ·  Nature Genetics

Spatially resolved single-cell analyses of human meningioma identify novel cell states influencing tumor microenvironment and progression

Landry AP et al.

View publication on PubMed ↗
Scientific image associated with Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study
MAY 2026  ·  The Lancet Digital Health

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

Landry AP et al.

View publication on PubMed ↗
Research figure for Analysis of TERT association with clinical outcome in meningiomas: a multi-institutional cohort study
SEPTEMBER 2025  ·  The Lancet Oncology

Analysis of TERT association with clinical outcome in meningiomas: a multi-institutional cohort study

Gui C et al.

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Scientific image associated with Prediction of brain metastasis development with DNA methylation signatures
JANUARY 2025  ·  Nature Medicine

Prediction of brain metastasis development with DNA methylation signatures

Zuccato JA et al.

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Scientific image associated with Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma
NOVEMBER 2024  ·  Nature Medicine

Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma

Wang JZ et al.

View publication on PubMed ↗