The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease.

Multiple myeloma (MM) is an osteolytic malignancy that is incurable due to the emergence of treatment resistant disease. Defining how, when and where myeloma cell intrinsic and extrinsic bone microenvironmental mechanisms cause relapse is challenging with current biological approaches. Here, we report a biology-driven spatiotemporal hybrid agent-based model of the MM-bone microenvironment. Results indicate MM intrinsic mechanisms drive the evolution of treatment resistant disease but that the protective effects of bone microenvironment mediated drug resistance (EMDR) significantly enhances the probability and heterogeneity of resistant clones arising under treatment. Further, the model predicts that targeting of EMDR deepens therapy response by eliminating sensitive clones proximal to stroma and bone, a finding supported by in vivo studies. Altogether, our model allows for the study of MM clonal evolution over time in the bone microenvironment and will be beneficial for optimizing treatment efficacy so as to significantly delay disease relapse.

Detection of clonal immunoglobulin and T-cell receptor gene rearrangements in childhood acute lymphoblastic leukemia using a low-cost PCR strategy.

BACKGROUND: Immunoglobulin (Ig) and T-cell receptor (TCR) gene rearrangements function as specific markers for minimal residual disease (MRD), which is one of the best predictors of outcome in childhood acute lymphoblastic leukemia (ALL). We recently reported on the prognostic value of MRD during the induction of remission through a simplified PCR method. Here, we report on gene rearrangement frequencies and offer guidelines for the application of the technique. PROCEDURE: Two hundred thirty-three children had DNA extracted from bone marrow. Ig and TCR gene rearrangements were amplified using consensus primers and conventional PCR. PCR products were submitted to homo/heteroduplex analysis. A computer program was designed to define combinations of targets for clonal detection using a minimum set of primers and reactions. RESULTS: At least one clonal marker could be detected in 98% of the patients, and two markers in approximately 80%. The most commonly rearranged genes in precursor B-cell ALL were IgH (75%), TCRD (59%), IgK (55%), and TCRG (54%). The most commonly rearranged genes for T-ALL were TCRG (100%) and TCRD (24%). The sensitivity of primers was limited to the detection of 1 leukemic cell among 100 normal cells. CONCLUSIONS: We propose that eight PCR reactions per ALL subtype would allow for the detection of two markers in most cases. In addition, these reactions are suitable for MRD monitoring, especially when aiming the selection of patients with high MRD levels (≥ 10(-2)) at the end of induction therapy. Such an approach would be very useful in centers with limited financial resources.