ID
45925
Descripción
Principal Investigator: Francine Garrett-Bakelman, MD, PhD, University of Virginia, Charlottesville, VA, USA; Weill Cornell Medical College, New York, NY, USA MeSH: Acute Myeloid Leukemia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001027 Acute Myeloid Leukemia (AML) remains a clinical challenge since most patients diagnosed with AML will die from the disease. Some patients harbor treatment-refractory disease and many others relapse with disease that in many cases is resistant to treatments. Our study was designed to understand the molecular basis of disease progression in AML through assessing genomics signatures in patient specimens collected through an international collaboration which assembled samples from 138 AML patients which experienced disease relapse and normal hematopoietic cells (n=15). It is hoped that this resource will help researchers understand mechanisms of disease relapse in AML and contribute to the general pool of data available for analyses for this disease and general research use.
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Versiones (1)
- 27/2/24 27/2/24 - Simon Heim
Titular de derechos de autor
Francine Garrett-Bakelman, MD, PhD, University of Virginia, Charlottesville, VA, USA; Weill Cornell Medical College, New York, NY, USA
Subido en
27 de febrero de 2024
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs001027 Epigenomics Studies in Acute Myeloid Leukemia (AML)
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent group information, subject aliases, and subject's sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotype data table contains age at time of sample collection, disease stage, time to relapse, cytogenetics results, clinically-annotated mutant genes, FAB classification, WBC counts, and affection status. Cases are patients diagnosed with non-M3 Acute Myeloid Leukemia (AML). Controls are age-matched individuals and without any known hematological conditions.
- This sample attributes data table includes body site where sample was collected, analyte type, tumor status, histological type, metastatic status, primary tumor location, tumor stage and grade, tumor treatment, and sequencing center.
- This subject GEO data table contains a mapping of subject IDs to NCBI GEO (GSM#) accessions.
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Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table includes subject IDs, consent group information, subject aliases, and subject's sex.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotype data table contains age at time of sample collection, disease stage, time to relapse, cytogenetics results, clinically-annotated mutant genes, FAB classification, WBC counts, and affection status. Cases are patients diagnosed with non-M3 Acute Myeloid Leukemia (AML). Controls are age-matched individuals and without any known hematological conditions.
- This sample attributes data table includes body site where sample was collected, analyte type, tumor status, histological type, metastatic status, primary tumor location, tumor stage and grade, tumor treatment, and sequencing center.
- This subject GEO data table contains a mapping of subject IDs to NCBI GEO (GSM#) accessions.
C0680251 (UMLS CUI [1,2])
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C0686906 (UMLS CUI [2,5])
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C0604937 (UMLS CUI [1,5])
C0857127 (UMLS CUI [1,6])
C0205336 (UMLS CUI [2,1])
C3843629 (UMLS CUI [2,2])
C0332137 (UMLS CUI [2,3])