Bart Barlogie
Researcher
University of Arkansas for Medical Sciences
faculty
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Biography and Research Information
OverviewAI-generated summary
Bart Barlogie's research focuses on the molecular and spatial evolution of multiple myeloma, investigating the pathways from precursor conditions to advanced disease states. His work includes analyzing the molecular makeup of smoldering myeloma and its spatio-temporal evolution from baseline to relapse-refractory stages. He has published research on resolving the spatial architecture of myeloma and its microenvironment at the single-cell level, as well as identifying gene signatures that can predict the risk of monoclonal gammopathy of undetermined significance (MGUS) progressing to multiple myeloma.
Further research by Barlogie examines factors influencing disease progression and treatment outcomes. This includes investigating high-risk transcriptional profiles in multiple myeloma, which are identified as acquired features that can occur with each subsequent relapse. He has also explored the feasibility of outpatient stem cell transplantation for multiple myeloma patients and identified risk factors predictive of hospital admission. His work extends to understanding the mechanisms by which specific molecules, such as CST6, suppress osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation. Barlogie has also contributed to the development and validation of individualized prognostic score systems for patients with newly diagnosed multiple myeloma.
Barlogie's extensive publication record is reflected in his h-index of 137 and over 75,000 citations across more than 1,155 publications. He leads a research group and collaborates with several colleagues at the University of Arkansas for Medical Sciences, including Maurizio Zangari, Sharmilan Thanendrarajan, John D. Shaughnessy Jr., and Carolina Schinke, with whom he has co-authored multiple publications.
Metrics
- h-index: 137
- Publications: 1155
- Citations: 75,768
Selected Publications
- Long-Term Follow-Up of Patients With Multiple Myeloma Treated on Earlier Total Therapy Protocols (2025) DOI
- Long-term follow-up of Total Therapy IV: a phase 3 clinical trial for standard-risk multiple myeloma (2024) DOI
- Development and validation of an individualized and weighted Myeloma Prognostic Score System (<scp>MPSS</scp>) in patients with newly diagnosed multiple myeloma (2024) DOI
- Three years of maintenance with VRD in multiple myeloma: results of total therapy IIIB with a 15-year follow-up (2023) DOI
- Impact of Dexamethasone (Dex) Dose Strength on Outcomes in Newly Diagnosed Multiple Myeloma (NDMM): A Secondary Analysis of SWOG Studies S0777 and S1211 (2023) DOI
- Sequential Imaging with Diffusion-Weighted Whole-Body MRI (DW-MRI) and PET-CT Identifies Patients at High Risk of Relapse in Multiple Myeloma (2023) DOI
- Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level (2023) DOI
- A gene signature can predict risk of MGUS progressing to multiple myeloma (2023) DOI
- Curability of multiple myeloma (MM) based on relative survival rate (RSR) in patients (pts) treated on earlier total therapy (TT) protocols. (2023) DOI
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states (2022) DOI
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation (2022) DOI
- Feasibility of Outpatient Stem Cell Transplantation in Multiple Myeloma and Risk Factors Predictive of Hospital Admission (2022) DOI
- N-Cadherin Stabilizes β-Catenin and Promotes β-Catenin/TCF Transcriptional Activation and Cell Adhesion-Mediated Drug Resistance in Multiple Myeloma (2021) DOI
- High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse (2021) DOI
Collaboration Network
Top Collaborators
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Feasibility of Outpatient Stem Cell Transplantation in Multiple Myeloma and Risk Factors Predictive of Hospital Admission
Showing 5 of 14 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Development and validation of an individualized and weighted Myeloma Prognostic Score System (<scp>MPSS</scp>) in patients with newly diagnosed multiple myeloma
- Feasibility of Outpatient Stem Cell Transplantation in Multiple Myeloma and Risk Factors Predictive of Hospital Admission
Showing 5 of 14 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Feasibility of Outpatient Stem Cell Transplantation in Multiple Myeloma and Risk Factors Predictive of Hospital Admission
Showing 5 of 13 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Feasibility of Outpatient Stem Cell Transplantation in Multiple Myeloma and Risk Factors Predictive of Hospital Admission
- A gene signature can predict risk of MGUS progressing to multiple myeloma
Showing 5 of 12 shared publications
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Development and validation of an individualized and weighted Myeloma Prognostic Score System (<scp>MPSS</scp>) in patients with newly diagnosed multiple myeloma
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- PHF19 inhibition as a therapeutic target in multiple myeloma
- Three years of maintenance with VRD in multiple myeloma: results of total therapy IIIB with a 15-year follow-up
Showing 5 of 9 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- A gene signature can predict risk of MGUS progressing to multiple myeloma
- High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse
Showing 5 of 7 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- CST6 suppresses osteolytic bone disease in multiple myeloma by blocking osteoclast differentiation
- Development and validation of an individualized and weighted Myeloma Prognostic Score System (<scp>MPSS</scp>) in patients with newly diagnosed multiple myeloma
- PHF19 inhibition as a therapeutic target in multiple myeloma
- Sequential Imaging with Diffusion-Weighted Whole-Body MRI (DW-MRI) and PET-CT Identifies Patients at High Risk of Relapse in Multiple Myeloma
Showing 5 of 7 shared publications
- The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma
- The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
- High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse
- PHF19 inhibition as a therapeutic target in multiple myeloma
- Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups
Showing 5 of 6 shared publications
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