A5052231612- Multiple Myeloma Research and Treatments
- Chemokine receptors and signaling
- Chronic Myeloid Leukemia Treatments
- Phagocytosis and Immune Regulation
- Hematopoietic Stem Cell Transplantation
- Immune cells in cancer
- Signaling Pathways in Disease
- Cancer Mechanisms and Therapy
- Acute Lymphoblastic Leukemia research
- Acute Myeloid Leukemia Research
- FOXO transcription factor regulation
The University of Adelaide
2020-2024
South Australian Health and Medical Research Institute
2020-2023
In most instances, multiple myeloma (MM) plasma cells (PCs) are reliant on factors made by of the bone marrow (BM) stroma for their survival and growth. To date, nature cellular composition BM tumor microenvironment critical which drive progression remain imprecisely defined. Our studies show that Gremlin1 (Grem1), a highly conserved protein, is abundantly secreted subset mesenchymal stromal cells, plays role in MM disease development. Analysis human mouse samples quantitative PCR showed...
Summary Expression of myeloperoxidase (MPO), a key inflammatory enzyme restricted to myeloid cells, is negatively associated with the development solid tumours. Activated cell populations are increased in multiple myeloma (MM); however, functional consequences myeloid‐derived MPO within microenvironment unknown. Here, role MM pathogenesis was investigated, and capacity for pharmacological inhibition impede progression evaluated. In 5TGM1‐KaLwRij mouse model myeloma, early stages tumour were...
Multiple myeloma (MM) is an incurable haematological malignancy, caused by the uncontrolled proliferation of plasma cells within bone marrow (BM). Obesity a known risk factor for MM, however, few studies have investigated potential dietary intervention to prevent MM progression. Calorie restriction (CR) associated with many health benefits including reduced cancer incidence and To investigate if CR could reduce progression, regimes [30% CR, normal chow diet (NCD), or high fat (HFD)] were...
Summary Disease relapse is the greatest cause of treatment failure in paediatric B‐cell acute lymphoblastic leukaemia (B‐ALL). Current risk stratifications fail to capture all patients at relapse. Herein, we used a machine‐learning approach identify B‐ALL blast‐secreted factors that are associated with poor survival outcomes. Using this approach, identified two‐gene expression signature ( CKLF and IL1B) allowed identification high‐risk diagnosis. This enhances predictive value current...
<title>Abstract</title> Multiple myeloma (MM) is an incurable haematological malignancy characterised by the uncontrolled proliferation of bone marrow resident plasma cells (PCs). Two members TAM (TYRO3, AXL and MER) receptor family have previously been implicated in distinct aspects neoplastic PC biology. expression MM PCs has associated with induction a dormant, non-cycling state within marrow, whereas MER survival. Here, generation single expressing 5TGM1 murine cell lines enabled...