Thumbnail Image
Publication

A multi-scale computational analysis of the tumor microenvironment in blood cancers: from single-cell to spatial determinants of therapy response

Verga, Jacopo Umberto
Files
2025vergaphd.pdf
Adobe PDF, 26.09 MB
  • Embargoed until 2028-02-16
Citations
Altmetric:
Identifiers
https://hdl.handle.net/10379/19436
 https://doi.org/10.13025/30225
Publication Date
2026-02-16
Keywords
tumor microenvironment, blood cancers, tumor microenvironment (TME), Multiple Myeloma (MM), multi-scale computational framework, Mathematical and Statistical Sciences
Type
doctoral thesis
Downloads
Show all metadata
Citation
Abstract
The tumor microenvironment (TME) in hematological malignancies like Multiple Myeloma (MM) is a major driver of immune evasion and therapeutic resistance, limiting the efficacy of even advanced immunotherapies. A key mechanism of this immune failure is the functional exhaustion of effector cells, such as Natural Killer (NK) cells, but the dynamic molecular and spatial programs governing this process remain poorly understood. This thesis addresses this gap by developing and applying a multi-scale computational framework, integrating single-cell RNA sequencing (scRNA-seq), novel network-based algorithms and spatially-resolved proteomics to deconstruct the TME.
Funder
Publisher
University of Galway
Publisher DOI
Rights
CC BY-NC-ND
cbn
Collections
University of Galway Theses (PhD Theses)