Ontology highlight
ABSTRACT: Background
We previously reported algorithms based on clinical parameters and plasma cell characteristics to identify patients with smoldering multiple myeloma (SMM) with higher risk of progressing who could benefit from early treatment. In this work, we analyzed differences in the immune bone marrow (BM) microenvironment in SMM to better understand the role of immune surveillance in disease progression and to identify immune biomarkers associated to higher risk of progression.Methods
Gene expression analysis of BM cells from 28 patients with SMM, 22 patients with monoclonal gammopathy of undetermined significance (MGUS) and 22 patients with symptomatic MM was performed by using Nanostring Technology.Results
BM cells in SMM compared to both MGUS and symptomatic MM s
SUBMITTER: Isola I
PROVIDER: S-EPMC8646031 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature