<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE218664" accession="SRP409520">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP409520</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA904775</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE218664</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Early response evaluation by single cell signaling profiling in acute myeloid leukemia</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>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 24h post-chemotherapy is a significant predictor of patient 5-year overall survival in this cohort. Validation by RNA sequencing show induction of MAPK target gene expression in patients with high phospho-ERK1/2 24h post-chemotherapy, while proteomics confirms 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. Overall design: In this study we investigate the singlaing response to standard induction therapy in a cohort of 32 acute myeloid leukemia (AML) patients. Samples were taken at pre-treatment (0h), 4 hours and 24 hours after start of chemotherapy. We validated our results by proteomics and RNA-sequencing. RNA sequencing was performed for some of these patients at all tiempoints available.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE218664</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>36611026</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
