Wouters, B. | bioRxiv Science

bioRxiv2025

MECOM is a master repressor of myeloid differentiation through dose control of CEBPA in acute myeloid leukemia

Enhancer translocations, due to 3q26 rearrangements, drive out-of-context MECOM expression in an aggressive subtype of acute myeloid leukemia (AML). Direct depletion of MECOM using an endogenous auxin-inducible degron immediately upregulates expression of myeloid differentiation factor CEBPA. MECOM depletion is also accompanied by a severe loss of stem cells and gain of differentiation. MECOM exerts its inhibitory effect by binding to the +42kb CEBPA enhancer, a gene essential for neutrophil development. This is partially dependent on the interaction between MECOM and its co-repressor CTBP2. We demonstrate that CEBPA overexpression can bypass the MECOM-mediated block of differentiation. In addition, AML patients with MECOM overexpression through enhancer hijacking show significantly reduced CEBPA. Our study directly connects two main players of myeloid transformation MECOM and CEBPA, and it provides insight into the mechanism by which MECOM maintains the stem cell state in a unique subtype of AML by inactivating CEBPA.

cancer biology↗

bioRxiv2019

Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections

The formation of hypoxic microenvironments within solid tumors is known to contribute to radiation resistance, chemotherapy resistance, immune suppression, increased metastasis, and an overall poor prognosis. It is therefore crucial to understand the spatial and molecular mechanisms that contribute to tumor hypoxia formation to improve the efficacy of radiation treatment, develop hypoxia-directed therapies, and increase patient survival. The objective of this study is to present a number of complementary novel methods for quantifying tumor hypoxia and proliferation, especially in relation to the location of perfused blood vessels.\n\nMultiplexed immunofluorescence staining can produce whole slide scanned image datasets that are amenable for computational pathology analysis. A standard marker analysis strategy is to take a positive pixel count approach, in which a threshold for positive stain is used to compute a positive area fraction for hypoxia. This work is a reassessment of that approach, utilizing not only cell segmentation but also distance to nearest blood vessel in order to incorporate spatial information into the analysis. We describe a reproducible pipeline for the visualization and quantitative analysis of hypoxia using a vessel distance analysis approach. This methodological pipeline can serve to further elucidate the relationship between vessel distance and microenvironment-linked markers such as hypoxia and proliferation, can help to quantify parameters relating to oxygen consumption and hypoxic tolerance in tissues, as well as potentially serve as a hypothesis generating tool for future studies testing hypoxia-linked markers.

bioinformatics↗