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Studying Biomarkers in Cell Samples From Young Patients With Acute Myeloid Leukemia

This study has been completed.
National Cancer Institute (NCI)
Information provided by (Responsible Party):
Children's Oncology Group Identifier:
First received: January 26, 2010
Last updated: May 17, 2016
Last verified: May 2016

RATIONALE: Studying samples of tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how well patients will respond to treatment.

PURPOSE: This research study is looking at biomarkers in cell samples from young patients with acute myeloid leukemia.

Condition Intervention
Leukemia Genetic: gene expression analysis Genetic: protein expression analysis Other: fluorescence activated cell sorting Other: immunologic technique Other: laboratory biomarker analysis

Study Type: Observational
Study Design: Observational Model: Case Control
Time Perspective: Retrospective
Official Title: Stat3 Activation as a Potential Prognostic Marker and Therapeutic Target in Pediatric AML

Resource links provided by NLM:

Further study details as provided by Children's Oncology Group:

Primary Outcome Measures:
  • Correlation of the Stat3 response category (constitutive, low-dose responsive, high-dose responsive, or unresponsive) with clinical data, including event-free and overall survival

Biospecimen Retention:   Samples With DNA
cell samples

Estimated Enrollment: 75
Study Start Date: September 2012
Primary Completion Date: May 2016 (Final data collection date for primary outcome measure)
Detailed Description:


  • To characterize Stat3 signaling pathway activity in primary tissue samples from pediatric patients with acute myeloid leukemia to determine the percentage of samples with increased activity and to better understand the mechanisms leading to increased activity.
  • To evaluate the presence of constitutive Stat3 activation and the sensitivity of Stat3 activation to low and high doses of cytokines.
  • To evaluate the expression levels of Stat3 protein as well as upstream and downstream regulators of Stat3 activation.
  • To classify tissue samples according to a Stat3-activation pattern, and to correlate this result with event-free survival and overall survival in order to determine whether increased Stat3 phosphorylation at diagnosis predicts poor outcome.

OUTLINE: Cryopreserved cell samples are collected for laboratory analysis, including immunoblotting, fluorescence activated cell sorting (FACS), and protein analysis.


Ages Eligible for Study:   up to 18 Years   (Child, Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Diagnosis of pediatric acute myeloid leukemia


  • Diagnosis of pediatric acute myeloid leukemia


  • Not specified


  • Not specified
  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its identifier: NCT01057290

Sponsors and Collaborators
Children's Oncology Group
National Cancer Institute (NCI)
Principal Investigator: Michele S. Redell, MD, PhD Texas Children's Cancer Center
  More Information

Responsible Party: Children's Oncology Group Identifier: NCT01057290     History of Changes
Other Study ID Numbers: AAML10B16
COG-AAML10B16 ( Other Identifier: Children's Oncology Group )
CDR0000664194 ( Other Identifier: Clinical )
NCI-2011-02206 ( Registry Identifier: CTRP (Clinical Trial Reporting Program) )
Study First Received: January 26, 2010
Last Updated: May 17, 2016

Keywords provided by Children's Oncology Group:
childhood acute myeloid leukemia/other myeloid malignancies

Additional relevant MeSH terms:
Leukemia, Myeloid, Acute
Neoplasms by Histologic Type
Leukemia, Myeloid processed this record on September 21, 2017