Vascular endothelial growth factor (VEGF) is pathognomonically elevated in patients with POEMS (polyneuropathy, organomegaly, endocrinopathy, monoclonal gammopathy and skin changes) syndrome. However, its source of overproduction is unclear. As clinical improvement is almost always associated with VEGF reduction after anti-plasma cell therapy, its increase at diagnosis has been attributed to the underlying monoclonal gammopathy, although direct evidence is still lacking. In the current study, we systemically measured VEGF levels in POEMS patients, before and after treatment. Bone marrow plasma cells showed remarkable VEGF expression, in both mRNA and protein levels, which decreased gradually in response to therapy. Of note, statistically linear correlations were observed between serum and bone marrow plasma cell VEGF levels (mRNA vs. serum, rho 0.343, p=0.003; protein vs. serum, rho 0.644, p<0.0001), supporting bone marrow plasma cells as the main source of circulating VEGF. Intriguingly, immunophenotyping revealed that bone marrow plasma cells were polyclonal in most patients at diagnosis. A clear monoclonal population, coexistent with polytypic cells, was only detectable in 11 cases (18%), in which comparable intracellular VEGF expression was observed between these two plasma cell populations (p=0.594), while monoclonal cells showed higher intracellular interleukin-6 expression (p=0.006). These patients had more serum monoclonal protein, less post-therapeutic complete remission, and inferior overall (p=0.027) and progression-free survival (p=0.002). Collectively, bone marrow plasma cells, mainly polyclonal population, are the major source of VEGF overproduction in POEMS patients.
Pubmed ID: 27697660 RIS Download
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
A collection of tools for flow cytometer and application setup, data acquisition, and data analysis that help streamline flow cytometry workflows. It provides features to help users integrate flow systems into new application areas, including index sorting for stem cell and single-cell applications, as well as automation protocols for high-throughput and robotic laboratories.
View all literature mentions