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Objectives: Patients with myeloma often face significant diagnostic delay, with up to one-third of UK patients diagnosed after an emergency presentation (EP). Compared with other routes, patients presenting as an emergency have more advanced disease, increased complications, and poorer prognosis., Methods: An economic model was developed using a decision-tree framework and lifetime time horizon to estimate costs related to different presentation routes (EP, general practitioner [GP] 2-week wait, GP urgent, GP routine, and consultant to consultant) for UK patients diagnosed as having myeloma. After diagnosis, patients received one of 3 first-line management options (observation, active treatment, or end-of-life care). Inputs were derived from UK health technology assessments and targeted literature reviews, or based on authors' clinical experience where data were unavailable. Active treatment, complication, and end-of-life care costs were included., Results: The average per-patient cost of treating myeloma (across all routes) was estimated at £146 261. The average per-patient cost associated with EP (£152 677) was the highest; differences were minimal compared with GP 2-week wait (£149 631) and consultant to consultant (£147 237). GP urgent (£140 025) and GP routine (£130 212) were associated with marginally lower costs. Complication (£42 252) and end-of-life care (£11 273) costs were numerically higher for EP than other routes (£25 021-£38 170 and £9772-£10 458, respectively)., Conclusions: An economic benefit may be associated with earlier diagnosis, gained via reduced complication and end-of-life care costs. Strategies to expedite myeloma diagnosis and minimize EPs have the potential to improve patient outcomes and may result in long-term savings that could offset any upfront costs associated with their implementation., (Copyright © 2023 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)

Improving outcomes in multiple myeloma will involve not only development of new therapies but also better use of existing treatments. We performed RNA sequencing on samples from newly diagnosed patients enrolled in the phase 2 PADIMAC (Bortezomib, Adriamycin, and Dexamethasone Therapy for Previously Untreated Patients with Multiple Myeloma: Impact of Minimal Residual Disease in Patients with Deferred ASCT) study. Using synthetic annealing and the large margin nearest neighbor algorithm, we developed and trained a 7-gene signature to predict treatment outcome. We tested the signature in independent cohorts treated with bortezomib- and lenalidomide-based therapies. The signature was capable of distinguishing which patients would respond better to which regimen. In the CoMMpass data set, patients who were treated correctly according to the signature had a better progression-free survival (median, 20.1 months vs not reached; hazard ratio [HR], 0.40; confidence interval [CI], 0.23-0.72; P = .0012) and overall survival (median, 30.7 months vs not reached; HR, 0.41; CI, 0.21-0.80; P = .0049) than those who were not. Indeed, the outcome for these correctly treated patients was noninferior to that for those treated with combined bortezomib, lenalidomide, and dexamethasone, arguably the standard of care in the United States but not widely available elsewhere. The small size of the signature will facilitate clinical translation, thus enabling more targeted drug regimens to be delivered in myeloma., (© 2018 by The American Society of Hematology.)

The majority of malignant cells in chronic lymphocytic leukaemia (CLL) circulate in the peripheral blood whereas small lymphocytic lymphoma (SLL) cells reside in tissues. The aim of this study was to detect differences in chemokine receptor expression, DNA single nucleotide polymorphism (SNP) microarray analysis and proteomic profiling to help elucidate why the cells remain in their respective environments. We identified by flow cytometric studies of chemokine receptors and DNA SNP microarray analysis significant differences between cells from CLL and SLL patients. Proteomic analysis revealed two potential markers (m/z 3091 and 8707) to distinguish the two disorders. There was a significantly greater expression of leucocyte trafficking receptor CXCR3 (CD183) and migration and homing receptor CXCR4 (CD184), and significantly lower expression of cell adhesion molecule integrin α 4 chain (CD49d), on CLL cells, compared with SLL cells. Conversely, SNP microarrays revealed greater numbers of copy-neutral loss of heterozygosity chromosomal aberrations, as well as gross chromosomal aberrations, in the SLL group, compared with the CLL group. These findings revealed that there was a significantly greater expression of trafficking, migration and homing receptors and significantly lower expression of adhesion molecules on CLL cells than on SLL cells, and that SLL may be a more progressive disease than CLL, with a more complex genotype., (Copyright © 2017. Published by Elsevier Inc.)

Thrombopoietin (TPO) is the key cytokine involved in thrombopoiesis, and is the endogenous ligand for the thrombopoietin receptor that is expressed on the surface of platelets, megakaryocytes, and megakaryocytic precursors. First-generation thrombopoietic agents were recombinant forms of human TPO, and their development was discontinued after prolonged thrombocytopenia due to neutralizing auto-antibodies cross-reacting with endogenous TPO was observed. Second-generation thrombopoiesis-stimulating molecules are now available, which have unique pharmacological properties and no sequence homology to endogenous TPO. Two of these new agents, romiplostim and eltrombopag, have already completed phase III trials in primary immune thrombocytopenia and have been granted marketing authorization for use in this disease. Phase II and III trials with these novel drugs are ongoing in other conditions characterized by thrombocytopenia, such as chemotherapy, chronic liver disease, and the myelodysplastic syndromes. Most of the other second-generation thrombopoietic growth factors are in early phase clinical development., (Copyright 2010 Elsevier Ltd. All rights reserved.)