Enhanced stimulation of antigen-specific immune responses against nucleophosmin 1 mutated acute myeloid leukaemia by an anti-programmed death 1 antibody.
Jochen GreinerMarlies GoetzPatrick J SchulerChristiane BulachSusanne HofmannHubert SchrezenmeierHartmut DöhnerVanessa SchneiderBarbara-Ann GuinnPublished in: British journal of haematology (2022)
Nucleophosmin1 (NPM1) is one of the most commonly mutated genes in AML and is often associated with a favourable prognosis. Immune responses play an increasing role in AML treatment decisions; however, the role of immune checkpoint inhibition is still not clear. To address this, we investigated specific immune responses against NPM1, and three other leukaemia-associated antigens (LAA), PRAME, Wilms' tumour 1 and RHAMM in AML patients. We investigated T cell responses against leukaemic progenitor/stem cells (LPC/LSC) using colony-forming immunoassays and flow cytometry. We examined whether immune checkpoint inhibition with the anti-programmed death 1 antibody increases the immune response against stem cell-like cells, comparing cells from NPM1 mutated and NPM1 wild-type AML patients. We found that the anti-PD-1 antibody, nivolumab, increases LAA stimulated cytotoxic T lymphocytes and the cytotoxic effect against LPC/LSC. The effect was strongest against NPM1 mut cells when the immunogenic epitope was derived from the mutated region of NPM1 and these effects were enhanced through the addition of anti-PD-1. The data suggest that patients with NPM1 mutated AML could be treated with the immune checkpoint inhibitor anti-PD-1 and that this treatment combined with NPM1-mutation specific directed immunotherapy could be even more effective for this unique group of patients.
Keyphrases
- acute myeloid leukemia
- immune response
- stem cells
- end stage renal disease
- allogeneic hematopoietic stem cell transplantation
- ejection fraction
- newly diagnosed
- wild type
- chronic kidney disease
- prognostic factors
- gene expression
- mesenchymal stem cells
- oxidative stress
- acute lymphoblastic leukemia
- transcription factor
- deep learning
- genome wide
- cell therapy
- mass spectrometry
- high resolution
- hepatitis b virus