A quantitative analysis of heterogeneities and hallmarks in acute myelogenous leukaemia

C. W. Hu, Y. Qiu, A. Ligeralde, A. Y. Raybon, S. Y. Yoo, K. R. Coombes, A. A. Qutub, S. M. Kornblau

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Acute myelogenous leukaemia (AML) is associated with risk factors that are largely unknown and with a heterogeneous response to treatment. Here, we provide a comprehensive quantitative understanding of AML proteomic heterogeneities and hallmarks by using the AML Proteome Atlas, a proteomics database that we have newly derived from MetaGalaxy analyses, for the proteomic profiling of 205 patients with AML and 111 leukaemia cell lines. The analysis of the dataset revealed 154 functional patterns based on common molecular pathways, 11 constellations of correlated functional patterns and 13 signatures that stratify the outcomes of patients. We find limited overlap between proteomics data and both cytogenetics and genetic mutations. Moreover, leukaemia cell lines show limited proteomic similarities with cells from patients with AML, suggesting that a deeper focus on patient-derived samples is needed to gain disease-relevant insights. The AML Proteome Atlas provides a knowledge base for proteomic patterns in AML, a guide to leukaemia cell line selection, and a broadly applicable computational approach for quantifying the heterogeneities of protein expression and proteomic hallmarks in AML.

Original languageEnglish (US)
Pages (from-to)889-901
Number of pages13
JournalNature Biomedical Engineering
Issue number11
StatePublished - Nov 1 2019
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Medicine (miscellaneous)
  • Biomedical Engineering
  • Computer Science Applications


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