Citations 1052

Utility and prognostic value of 18F‐FDG positron emission tomography‐computed tomography scans in patients with newly diagnosed multiple myeloma

American Journal of Hematology | September 8, 2018 | Volume: 93 | Issue: 12 | Pages: 1518-1523

10.1002/ajh.25279 | PMID 30194770

AbstractPositron emission tomography‐computed tomography (PET‐CT) can identify bony lesions, assess disease burden, and detect extramedullary disease (EMD) in patients with multiple myeloma. We retrospectively reviewed records of patients who underwent PET‐CT within 60 days of a new diagnosis (before therapy commenced) to identify the nature and prognostic impact of PET‐CT abnormalities. Patients (N = 313) were seen from April 2005 through June 2017. Of the 234 patients (75%) with focal lesions (FLs), 182 (58%) had at least 3 FLs, 38 (12%) had EMD, and 204 (65%) had documented myelomatous lytic lesions. The median maximum standardized uptake value (SUVmax) for the entire cohort was 5.9 (range 1.5‐48.3). Presence of at least 3 FLs and EMD predicted inferior overall survival (OS); median OS was 57.8 months for patients with 3 or more FLs and 103.6 months for patients with fewer than 3 FLs (P = .003). The median OS was 45.5 and 71.8 months for patients with and without EMD, respectively (P = .004). No clear SUVmax cutoff was predictive of progression‐free survival or OS. PET‐CT is a valuable tool for assessing disease burden and could provide prognostic information about a contemporary cohort of patients with newly diagnosed myeloma who received treatment with novel agents.
Type 1 monoclonal cryoglobulinemia: Clinical presentation and outcomes.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8062-8062

10.1200/jco.2016.34.15_suppl.8062

Importance of pharmacovigilance in the era of small molecules: Role of pharmacist consultation with ixazomib (IXA) in multiple myeloma (MM).

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8058-8058

10.1200/jco.2016.34.15_suppl.8058

Changes in serum alkaline phosphatase levels to predict response to ixazomib-based therapy in patients with newly diagnosed multiple myeloma.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8053-8053

10.1200/jco.2016.34.15_suppl.8053

Prevalence and survival of smoldering multiple myeloma in the US: Analysis using a national dataset.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8035-8035

10.1200/jco.2016.34.15_suppl.8035

Immunoparesis in newly diagnosed AL amyloidosis as a marker for response and survival.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8016-8016

10.1200/jco.2016.34.15_suppl.8016

Quantification of circulating clonal plasma cells (cPCs) via multiparametric flow cytometry (MFC) to identify patients with smoldering multiple myeloma (SMM) at high risk of progression.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 8015-8015

10.1200/jco.2016.34.15_suppl.8015

Dexamethasone, rituximab and cyclophosphamide (DRC) in relapsed/refractory (R/R) and treatment naïve (TN) Waldenström macroglobulinemia (WM).

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: 7552-7552

10.1200/jco.2016.34.15_suppl.7552

A patient-reported outcome driven case management system for hematology/oncology patients.

Journal of Clinical Oncology | September 6, 2018 | Volume: 34 | Issue: 15_suppl | Pages: e18035-e18035

10.1200/jco.2016.34.15_suppl.e18035

Characterizing the amyloidogenic protein in patients with light chain amyloidosis using mass spectrometry.

Journal of Clinical Oncology | September 6, 2018 | Volume: 35 | Issue: 15_suppl | Pages: e19534-e19534

10.1200/jco.2017.35.15_suppl.e19534

e19534 Background: Our group has developed a mass spectrometry (MS) method that can identify circulating monoclonal proteins, based on their unique molecular mass signatures. Given the propensity for patients with AL amyloidosis to have MS patterns consistent with post-translational modifications (PTMs), we posed the question whether these changes might be present long before the diagnosis of AL and potentially serve as a predictor for AL in patients with an asymptomatic plasma cell dyscrasia (aPCD). Methods: We included 64 patients with AL who had a preceding aPCD and who had stored serum samples at both time-points. The mass/charge (m/z) of monoclonal LC peaks (P) was noted for each sample. Presence of a PTM was defined as the presence of ≥1 “heavy” Ps at a particular charge state. A P was considered heavy if its m/z exceeded the right sided 95% C.I. of the m/z distribution of the respective normal LC. We used 9 patients with relapsed multiple myeloma (MM) without AL as controls. Results: Prior aPCDs were MGUS (N = 33), smoldering myeloma (n = 9) and MM (N = 1). In 21 patients aPCD was not further classified with a bone marrow biopsy. The median interval between aPCD and AL diagnosis was 77 months. At aPCD diagnosis, 42 patients had a single, typical P and 21 patients (33%) had PTMS: 13 patients had a single heavy P; 5 patients had 2 P (only one of which was heavy); and 3 patients had 2 heavy peaks. No PTMs were noted in our MM controls. The m/z of all typical and heavy P observed at aPCD remained unchanged for 63 patients as they transitioned to AL, which suggests no new PTMs occurred with the exception of one patient, who had a single PTM at aPCD diagnosis, but developed 2 additional heavy P appearing at +1232 and +1392 Dalton at AL diagnosis, suggestive of new PTMs. In all but 3 aPCD, the typical P was more abundant relative to heavy P. Heavy P abundance increased in 6 patients as they transitioned from the aPCD to the AL state and exceeded that of the typical P in 3 patients, suggestive of increasing abundance of existing PTMs in these cases. Conclusions: Pre-existing PTMs are present in 1/3 of AL patients and not in MM and can be used to identify patients at risk for AL. New PTMs are uncommon, but the relative abundance can change over time.