A newly launched online database provides researchers with access to data on gene expression in chronic myeloid leukemia (CML).
The LEUKomics database includes datasets relating to clinical parameters in CML, normal and leukemic stem cells, CML disease stages, treatments for the disease, and mouse models of CML.
The database is free for researchers to use and share.
The scientists who developed the database hope it will increase our understanding of CML and lead to new treatments for the disease.
“LEUKomics is a very valuable resource and could help us to reveal new underlying mechanisms that drive CML,” said Jeff Evans, Director of the Institute of Cancer Sciences at the University of Glasgow in Scotland.
“It has the potential to transform CML research on a global level, as the findings can be downloaded and shared with other researchers across the world. We also hope it inspires new research ideas and ultimately fuels a global search into finding cures for CML.”
The LEUKomics database includes datasets with information on gene expression related to:
- Clinical parameters in CML, such as disease aggressiveness and response to treatment
- Stem and progenitor cells from CML patients and healthy individuals
- Chronic, accelerated, and blast phases of CML
- CML treatment (currently only tyrosine kinase inhibitors)
- Stem and progenitor cells from mouse models of CML.
The LEUKomics database was launched by scientists at the University of Glasgow and the University of Melbourne.
The website has been built as part of the stem cell database Stemformatics, with funding from the Scottish Cancer Foundation and Bloodwise.
“Thanks to research, most patients with CML will now live a normal life by taking a single pill,” said Alasdair Rankin, Director of Research at Bloodwise in London, England.
“But treatment is life-long, and not everyone can tolerate the side effects from their treatment or may not respond and see their CML return. There remains a need to develop a permanent cure for all people with this blood cancer. LEUKomics is a highly innovative way to speed up this search for a cure and should be a valuable asset for the global blood cancer research community. We look forward to seeing its impact in the months to come.”
The LEUKomics database can be accessed at: www.stemformatics.org/leukomics.