Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Comparing cancer vs. normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients

Research output: Contribution to journalJournal articleResearchpeer-review

  1. A small change makes a big difference in Hodgkin lymphoma

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Treatment dilemmas in asymptomatic children with primary hemophagocytic lymphohistiocytosis

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Defective TAFI activation in hemophilia A mice is a major contributor to joint bleeding

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Molecular profiling reveals immunogenic cues in anaplastic large cell lymphomas with DUSP22 rearrangements

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. International cooperative study identifies treatment strategy in childhood ambiguous lineage leukemia

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Identification of two distinct pathways of human myelopoiesis

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. The splicing factor RBM25 controls MYC activity in acute myeloid leukemia

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Leukemogenic nucleophosmin mutation disrupts the transcription factor hub regulating granulo-monocytic fates

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Differences in Cell Cycle Status Underlie Transcriptional Heterogeneity in the HSC Compartment

    Research output: Contribution to journalJournal articleResearchpeer-review

View graph of relations
Gene expression profiling has been used extensively to characterize cancer, identify novel subtypes and improve patient stratification. However, it has largely failed to identify transcriptional programs that differ between cancer and corresponding normal cells, and has not been efficient in identifying expression changes fundamental to disease etiology. Here we present a method that facilitates the comparison of any cancer sample to its nearest normal cellular counterpart using acute myeloid leukemia (AML) as a model. We first generated a gene expression-based landscape of the normal hematopoietic hierarchy using expression profiles from normal stem/progenitor cells and next mapped the AML patient samples to this landscape. This allowed us to identify the closest normal counterpart of individual AML samples and determine gene expression changes between cancer and normal. We find the cancer vs. normal method (CvN-method) to be superior to conventional methods in stratifying AML patients with aberrant-karyotype and in identifying common aberrant transcriptional programs with potential importance for AML etiology. Moreover, the CvN-method uncovered a novel poor-outcome subtype of normal-karyotype AML, which allowed for the generation of a highly prognostic survival signature. Collectively, our CvN-method holds great potential as a tool for the analysis of gene expression profiles of cancer patients.
Original languageEnglish
JournalBlood
Volume123
Issue number6
Pages (from-to)894-904
ISSN0006-4971
DOIs
Publication statusPublished - 2014

ID: 42185134