Citations 1268

Monoclonal gammopathy plus positive amyloid biopsy does not always equal AL amyloidosis

American Journal of Hematology | February 18, 2019 | Volume: 94 | Issue: 5 | Pages: No page available

10.1002/ajh.25440 | PMID 30773682

Substratification of patients with newly diagnosed standard‐risk multiple myeloma

British Journal of Haematology | February 15, 2019 | Volume: 185 | Issue: 2 | Pages: 254-260

10.1111/bjh.15800 | PMID 30768679

SummaryDespite the absence of high‐risk cytogenetics and lower International Staging System (ISS) stages, a subset of patients with multiple myeloma (MM) experience poor overall survival (OS). We studied 1461 patients with newly diagnosed MM to identify patient and disease characteristics that predict a high‐risk phenotype among standard‐risk patients. Fifty‐six percent of all patients presented with standard‐risk disease. Among them, advanced age, extremes of body mass index, non‐hyperdiploid karyotype and abnormal lymphocyte counts were associated with worse OS. Standard‐risk patients with 0–1 of these adverse factors (hazard ratio [HR] 0·32, 95% confidence interval [CI] 0·24–0·43, P < 0·001) and 2 adverse factors (HR 0·54, 95% CI 0·41–0·72, P < 0·001) experienced better OS than high‐risk patients. Two or more adverse factors were present in 17% of standard‐risk patients and were associated with OS comparable to high‐risk patients (HR 0·91, 95% CI 0·67–1·24, P = 0·548). Predictive power among standard‐risk patients was improved using score groups compared to ISS stages. Patients with standard‐risk MM are a heterogeneous group with one in six patients experiencing OS comparable to high‐risk disease. Patients at risk can be identified using readily available patient and disease characteristics. These findings emphasize the importance of accurate risk stratification and help explain part of the heterogeneity observed in clinical practice.
Precision medicine in multiple myeloma: are we there yet?

Expert Review of Precision Medicine and Drug Development | February 7, 2019 | Volume: 4 | Issue: 2 | Pages: 51-53

10.1080/23808993.2019.1578172

Tetraploidy is associated with poor prognosis at diagnosis in multiple myeloma

American Journal of Hematology | January 25, 2019 | Volume: 94 | Issue: 5 | Pages: No page available

10.1002/ajh.25420 | PMID 30680770

Outcomes of young patients with Waldenstrom macroglobulinemia (WM).

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 8609-8609

10.1200/jco.2014.32.15_suppl.8609

Trends in survival of patients with primary plasma cell leukemia: A population-based analysis from 1973 to 2010.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 8608-8608

10.1200/jco.2014.32.15_suppl.8608

Outcomes after relapse from first autologous stem cell transplantation in multiple myeloma.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 8598-8598

10.1200/jco.2014.32.15_suppl.8598

ECOG multiple myeloma (MM) clinical trial (CT) accrual performance evaluation utilizing the NCI–Trial Complexity and Elements Scoring (NCI-TCES) and the NCI Myeloma Steering Committee Accrual Working Group (NCI MYSC AWG) scoring models.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 8600-8600

10.1200/jco.2014.32.15_suppl.8600

Free light chain assay and cytogenetic abnormalities for identification of high-risk smoldering myeloma.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 8595-8595

10.1200/jco.2014.32.15_suppl.8595

Rapid assessment of hyperdiploidy in plasma cell disorders using a novel multi‐parametric flow cytometry method

American Journal of Hematology | December 28, 2018 | Volume: 94 | Issue: 4 | Pages: 424-430

10.1002/ajh.25391 | PMID 30592078

AbstractTrisomies of odd numbered chromosomes are seen in nearly half of patients with multiple myeloma (MM) and typically correlate with a hyperdiploid state and better overall survival (OS). We compared DNA ploidy of monoclonal plasma cells (as a surrogate for the presence of trisomies) assessed simultaneously by PCPRO (plasma cell proliferative index), a novel method that estimates DNA index by multi‐parametric flow cytometry to fluorescence in situ hybridization (FISH) in 1703 patients with plasma cell disorders. The distribution of ploidy was hyperdiploid: 759 (45%), diploid 765 (45%), hypodiploid: 71 (4%), tetraploid/near‐tetraploid: 108 (6%). FISH identified trisomies in 82% (621/756) of patients with hyperdiploidy by PCPRO and no trisomy by FISH was observed in 88% (730/834) of patients without hyperdiploidy. 95% (795/834) of patients without hyperdiploidy on PCPRO had one or less trisomy by FISH. Sensitivity and specificity of PCPRO for detecting hyperdiploidy was 86% (621/725) and 84% (730/865), respectively. Sensitivity increased to 94% (579/618) for patients with more than one trisomy. Newly diagnosed MM patients with hyperdiploidy on PCPRO (147/275) had better OS compared to nonhyperdiploid patients (median not reached vs 59 months, P = 0.008) and better progression free survival (median: 33 vs 23 months, P = 0.03). Within the hyperdiploidy group, patients with high‐hyperdiploidy (DNA index: 1.19‐1.50) versus those with low‐hyperdiploidy (DNA index: 1.05‐1.18) had superior OS (3 year OS of 88% vs 68% P = 0.03). Ploidy assessment by flow cytometry can provide rapid, valuable prognostic information and also reduces the number of copy number FISH probes required and hence the cost of FISH.