Krisztián Homicskó

The paper identifies non-covalent inhibitors of PRDX5, a protein upregulated in MPM, through a machine learning guided pipeline and biochemical validation, suggesting it as a therapeutic target.

Phoenix predicts spatially resolved single-cell gene expression from histology, identifying new biomarkers and validating them across cancers and treatment regimens.

The paper evaluates Xenium spatial transcriptomics performance, identifies technical limitations, and introduces SPLIT to improve signal purity and cell-type resolution.

This study develops a platform to analyze spatial heterogeneity in colorectal tumor organoids using spatial transcriptomics and validates it against single-cell and tumor spatial data.

This study identifies two immune archetypes in HRD tumors—immune-inflamed and immune-evasive—linked to chromosomal instability and lineage, informing biomarker-driven therapies.

The paper compares three transcriptomic methods on FFPE tumor samples to assess their ability to detect inter- and intra-patient heterogeneity.

This study reconstructs the colorectal cancer tumor microenvironment using patient-derived organoids and co-cultures, revealing how stromal cells influence cancer behavior and immune evasion.