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Investigate the value of plasma galectin-3 and RANKL measurements in predicting disease progression and skeletal complications in Multiple Myeloma
Farahani, Mosavar
(PI)
Machado, Lee
(CoI)
SIVAKUMARAN, Muttuswamy
(CoI)
Yu, Lu_Gang
(CoI)
Science
Centre for Physical Activity and Life Sciences
Centre for Advanced and Smart Technologies
Department of Haematology Peterborough City Hospital
University of Liverpool
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Keyphrases
Galectin-3 (Gal-3)
100%
Predicting Diseases
100%
Skeletal Complications
100%
Multiple Myeloma
100%
Disease Progression
100%
Smoldering multiple Myeloma
50%
Health-to-disease Transition
50%
Asymptomatic Myeloma
50%
Pharmacology, Toxicology and Pharmaceutical Science
Galectin 3
100%
Multiple Myeloma
100%
Osteoclast Differentiation Factor
100%
Disease Exacerbation
100%
Myeloma
50%
Smoldering Multiple Myeloma
50%
Disease
50%
Immunology and Microbiology
Blood Plasma
100%
Multiple Myeloma
100%
Galectin 3
100%
RANKL
100%
Smoldering Multiple Myeloma
50%