Immunogenetics, Leukemia Genomics and Immunobiology

Immunogenetics, Leukemia Genomics and Immunobiology

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Group leader

Luca Vago

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The success of allogeneic hematopoietic cell transplantation (allo-HCT) in curing hematological malignancies relies on the ability of donor-derived immune cells to recognize and eliminate residual tumor cells. However, in a far-from-negligible proportion of patients, after a first phase of remission cancer cells reappear (relapse). The historical explanation for occurrence of relapse was that treatment were not potent enough, leading as a consequence to increase doses and toxicities, often without significant benefit. A more modern perspective on relapse, to which our group has significantly contributed, is that tumor are smart moving targets, and that under the selective pressure of treatments they can modify their genetic and epigenetic features to select resistant variants (evolutionary model). We provided relevant proof-of-principles for this model, and showed that relapse can occur through a number of genomic (the genetic loss of HLA molecules) and non-genomic mechanisms (the epigenetically-driven modulation of HLA molecules and immune checkpoints). In addition, further evidence shows how, leukemic cells can also accelerate the progression of the disease by modifying the bone marrow microenvironment to their advantage, influencing the niche and exploiting immunoregulatory cell subsets.

Research activity

The main focus of our group is elucidating the interplay between immune system and hematological malignancies, especially in the model system of allo-HCT. To achieve this ambitious and medically-relevant we leverage on an integrative approach utilizing patient samples and clinical data, omic technologies, humanized animal models and functional immunology.

As of July 2024, key questions being addressed are: i) are the resistant tumor cells generated after treatments or pre-existent? ii) is the bone marrow niche involved in the different modalities of relapse, and, if so, can we rewire it? iii) can we identify a functional hierarchy amongst the molecular players involved in the GvL effect? iv) in a given patient, can we predict the modality of immune escape and enact pre-emptive countermeasures? v) can we recapitulate the dynamics of allo-HCT and relapse in model systems?

Knowledge generated addressing these questions will not only have direct translational implications in the optimization of next-generation allo-HCT platforms, but is expected to serve as a model to understand physiological process occurring during cancer development, and to inform the design of new immunotherapeutic approaches for both hematological and solid tumors.

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