Early response evaluation by single cell signaling profiling in acute myeloid leukemia.
Benedicte Sjo TislevollMonica HellesøyOda Helen Eck FagerholtStein-Erik GullaksenAashish SrivastavaEven BirkelandDimitrios KleftogiannisPilar Ayuda-DuránLaure PiechaczykDagim Shiferaw TadeleJørn SkavlandPanagiotis BaliakasRandi HovlandVibeke AndresenOle Morten SeternesTor Henrik Anderson TvedtNima AghaeepourSonia GavassoKimmo PorkkaInge JonassenYngvar FløisandJorrit M EnserinkNello BlaserBjorn Tore GjertsenPublished in: Nature communications (2023)
Aberrant pro-survival signaling is a hallmark of cancer cells, but the response to chemotherapy is poorly understood. In this study, we investigate the initial signaling response to standard induction chemotherapy in a cohort of 32 acute myeloid leukemia (AML) patients, using 36-dimensional mass cytometry. Through supervised and unsupervised machine learning approaches, we find that reduction of extracellular-signal-regulated kinase (ERK) 1/2 and p38 mitogen-activated protein kinase (MAPK) phosphorylation in the myeloid cell compartment 24 h post-chemotherapy is a significant predictor of patient 5-year overall survival in this cohort. Validation by RNA sequencing shows induction of MAPK target gene expression in patients with high phospho-ERK1/2 24 h post-chemotherapy, while proteomics confirm an increase of the p38 prime target MAPK activated protein kinase 2 (MAPKAPK2). In this study, we demonstrate that mass cytometry can be a valuable tool for early response evaluation in AML and elucidate the potential of functional signaling analyses in precision oncology diagnostics.
Keyphrases
- single cell
- acute myeloid leukemia
- signaling pathway
- machine learning
- protein kinase
- rna seq
- pi k akt
- gene expression
- locally advanced
- high throughput
- oxidative stress
- end stage renal disease
- newly diagnosed
- mass spectrometry
- palliative care
- ejection fraction
- prognostic factors
- peritoneal dialysis
- artificial intelligence
- risk assessment
- chemotherapy induced
- rectal cancer
- dendritic cells
- dna methylation
- tyrosine kinase
- patient reported outcomes
- human health