Batuhan Kısakol

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

This study shows Mcl-1 accumulation and redistribution during the cell cycle increase MOMP thresholds, contributing to cell-to-cell variability in apoptosis susceptibility and intra-tumour heterogeneity.

This study develops humanized glioblastoma PDOX models to study tumor-immune interactions and test immunotherapies in a human context.

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

The paper investigates the spatial relationship between T cells and cancer cells in stage III CRC patients, finding that closer proximity of T cells to cancer cells is associated with better disease-free survival.