Abstract 750: Gene Signatures to Distinguish Amyloid Cardiomyopathy Risk in Multiple Myeloma Patients

Abstract

Amyloid light chain (AL) amyloidosis results from tissue deposition of clonal light chains, most commonly produced by clonal plasma cells. AL amyloidosis is closely associated with multiple myeloma (MM), another disease which arises from clonal plasma cell proliferation. Here we aim to identify gene signatures to distinguish AL cardiomyopathy (AL-CM) risk in MM patients. We utilized publicly available data sets and applied Graph Cluster Perturbation approach to cluster the co-expression networks based on pathways in MM and AL-CM utilizing 225 samples from four datasets: GSE42955 study (12 dilated CM, 12 ischemic CM and 5 control LV human heart tissues), GSE95077 study (16 amiloride drug treated/untreated myeloma cell line samples), GSE24128 study (16 newly diagnosed AL with monoclonal plasma cell samples over- or under-expressing cyclin D1), and GSE6477 study (76 primary bone marrow samples from hyper-diploid myeloma patients and 80 non-hyperdiploid MM patients). From these data sets, the networks for extracellular matrix organization, immune system, innate immune system, metabolism, and neutrophil degranulation pathways for MM and amyloid CM were extracted. Summary: Ranking of the perturbed genes based on pathways similarity index in MM and AL resulted in a panel of genes: CD44, NRAS, GRAP2, CTLA4, GSN, CCND1, NFKB1, and IRF1 (p= <0.01). As shown in Figure , the high hazard ratio of this gene cluster in MM with AL-CM (3.76; p=0.021) compared to MM without CM (0.96; p=0.032) suggests the potential of this gene panel to distinguish high or low risk groups in MM based on survival.