Combinatorial strategies targeting NEAT1 and AURKA as new potential therapeutic options for multiple myeloma

Multiple myeloma (MM) is a dreadful disease, marked by the uncontrolled proliferation of clonal plasma cells within the bone marrow. It is characterized by a highly heterogeneous clinical and molecular background, supported by severe genomic alterations. Important de-regulation of long non-coding RNA (lncRNA) expression, which can influence progression and therapy resistance, has been reported in MM patients. NEAT1 is a lncRNA essential for nuclear paraspeckles and is involved in the regulation of gene expression. We showed that NEAT1 supports MM proliferation, making this lncRNA an attractive therapeutic candidate. Here, we used a combinatorial strategy integrating transcriptomic and computational approaches with functional high-throughput drug screening to identify compounds that synergize with NEAT1 inhibition in restraining MM cell growth. AURKA inhibitors were identified as top-scoring drugs in these analyses. We showed that the explanation for the synergistic activity observed upon their combinatorial inhibition.