Collaborate with Us
The EMBLEM study addressed one of the major constraints in BL research: the lack of high-quality data and annotated samples from BL patients, due either to depletion or unsuitability of historic samples for use with current proteomic and molecular technologies. The success of the study was dependent on the harmonization of procedures, taking into account prior lessons learned about endemic Burkitt Lymphoma (eBL) epidemiology and pathology. The study enabled research infrastructure to support high-quality data and biological sample collection to be strengthened and nested within the local health systems where EMBLEM was conducted. The study also enables multi-disciplinary scientists to work together to apply genetic, epigenetic, viral, immunological, and epidemiologic approaches to investigate the etiology of BL with the goal of developing a more accurate kaleidoscopic view of causal factors for BL and discovering a target for early detection, treatment, or prevention of eBL.
The study welcomes the following types of collaboration:
- Scientific studies focused on addressing primary scientific study goals related to EBV, malaria, genetics or epidemiology;
- Secondary data analyses, particularly using more complex statistical, genetic, and bioinformatic techniques, to gain deeper insights about findings from primary analyses;
- Exploration of novel questions that utilize the samples collected in EMBLEM;
- Training and mentoring of students from collaborating institutions in Africa or the US to further cancer research in Africa;
- Development of new research projects that utilize dedicated research infrastructure for childhood cancer established by EMBLEM in East Africa.
- African Burkitt's lymphoma: could collaboration with HIV-1 and malaria programmes reduce the high mortality rate?
- Building capacity for sustainable research programmes for cancer in Africa.
- Epstein-Barr virus patterns in US Burkitt lymphoma tumors from the SEER residual tissue repository during 1979-2009.
- Accuracy of Burkitt lymphoma diagnosis in constrained pathology settings: importance to epidemiology.