Next Generation Sequencing platform for targeted Personalized Therapy of Leukemia - Acute myeloid leukemia

Study ID Alternative Stable ID Type
EGAS00001005464 Other

Study Description

The advent of high-throughput next generation sequencing (NGS) technologies that are revolutionizing genomics and transcriptomics by providing a single base resolution tool for a unified deep analysis of diseases complexity allows a fast and cost-efficient fine-scale assessment of the genetic variability hidden within cohorts of patients affected by the same leukemia. That being so, by potentially highlighting inter-individual differences that may play a role in the differential success of diverse therapeutic interventions, they promise to be crucial for selecting the most appropriate medical treatments. The project aims at the identification of novel prognostic biomarkers for acute myeloid leukemia (AML) and studied the molecular differences between aneuploid and euploid AML.

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
Whole exome sequencing (WES) data of paired (germline and leukemic) samples of 60 adult patients affected by acute myeloid leukemia.

Who archives the data?