Mohammad H. Kazeroun
Research Assistant in Computational Biology
Research focus and interests
Mohammad Kazeroun leverages his background in evolutionary and computational biology to investigate cancer evolution through tumor cell phylogeny. His research focuses on intra-tumoral heterogeneity and subclonal growth, which contribute to drug resistance in cancers like Multiple Myeloma. As part of the Oxford Translational Myeloma Centre (OTMC), he works to unravel the genomic complexity of myeloma. Mohammad co-developed the Myeloma Genome Project Panel (MGPP), a comprehensive targeted genomics panel for myeloma profiling, and is currently developing a pipeline to integrate this approach into standard NHS clinical practice. His expertise lies in analysing Whole Genome Sequencing (WGS) and multi-omics data to identify copy number aberrations, translocations, and single-nucleotide variant (SNV) mutations for genomic profiling, enabling risk assessment, diagnosis, and prognosis for patients.
Recent publications
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Quantitative liver function imaging and whole genome sequencing - Effective modalities for a new era in personalised decision-making for operable colorectal liver metastases?
Journal article
Welsh F. et al, (2025), Hpb (oxford), 27, 553 - 561
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A Novel Segmentation-Based Purity-Informed Approach Accurately Detects Total Copy Number and Its Subclonal Fraction in Myeloma Targeted Panel Sequencing Data
Journal article
Ansari-Pour N. et al, (2024), Blood, 144, 1909 - 1910
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Longitudinal Analysis of t(11;14) and t(4;14) Genomes Reveals Distinct Evolutionary Trajectories in Multiple Myeloma
Conference paper
Hudson-Lund B. et al, (2024), Clinical lymphoma myeloma & leukemia, 24, S163 - S164
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Risk Assignment Using the Myeloma Genome Project Panel: A Comparison to Standard of Care Genetic Testing within the UK-MRA RADAR Trial
Journal article
Gooding S. et al, (2024), Blood, 144, 3333 - 3334
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Acquisition of 1pLOH-1qGain Is a Frequent Trajectory in Expanding Relapsed/Refractory Myeloma Subclones
Journal article
Ansari-Pour N. et al, (2023), Blood, 142