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Clinical Trial
. 2019 Oct 31;134(18):1498-1509.
doi: 10.1182/blood.2019000428.

Pegylated interferon alfa-2a for polycythemia vera or essential thrombocythemia resistant or intolerant to hydroxyurea

Affiliations
Clinical Trial

Pegylated interferon alfa-2a for polycythemia vera or essential thrombocythemia resistant or intolerant to hydroxyurea

Abdulraheem Yacoub et al. Blood. .

Abstract

Prior studies have reported high response rates with recombinant interferon-α (rIFN-α) therapy in patients with essential thrombocythemia (ET) and polycythemia vera (PV). To further define the role of rIFN-α, we investigated the outcomes of pegylated-rIFN-α2a (PEG) therapy in ET and PV patients previously treated with hydroxyurea (HU). The Myeloproliferative Disorders Research Consortium (MPD-RC)-111 study was an investigator-initiated, international, multicenter, phase 2 trial evaluating the ability of PEG therapy to induce complete (CR) and partial (PR) hematologic responses in patients with high-risk ET or PV who were either refractory or intolerant to HU. The study included 65 patients with ET and 50 patients with PV. The overall response rates (ORRs; CR/PR) at 12 months were 69.2% (43.1% and 26.2%) in ET patients and 60% (22% and 38%) in PV patients. CR rates were higher in CALR-mutated ET patients (56.5% vs 28.0%; P = .01), compared with those in subjects lacking a CALR mutation. The median absolute reduction in JAK2V617F variant allele fraction was -6% (range, -84% to 47%) in patients achieving a CR vs +4% (range, -18% to 56%) in patients with PR or nonresponse (NR). Therapy was associated with a significant rate of adverse events (AEs); most were manageable, and PEG discontinuation related to AEs occurred in only 13.9% of subjects. We conclude that PEG is an effective therapy for patients with ET or PV who were previously refractory and/or intolerant of HU. This trial was registered at www.clinicaltrials.gov as #NCT01259856.

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Conflict of interest statement

Conflict-of-interest disclosure: A.Y. reports consultation and speaker honoraria for Incyte, Seattle Genetics, and Novartis. J.M. reports clinical trial research support paid to the institution from Incyte, Roche, Novartis, CTI Biopharma, Janssen, Merck, Promedior, and Celgene and membership on the clinical trial steering committee and advisory boards of Roche, CTI Biopharma, Incyte, and Celgene. J.T.P. reports clinical trial research support paid to the institution from Incyte, Abbvie, Pharmaessentia, and consulting honoraria from Agios. M.R.B. reports clinical trial research support paid to the institution from Abbvie, AI, Astellas, Forma, Incyte, Kite, and Takeda. E.W. reports serving on the advisory boards of Incyte Corporation and Gilead Sciences. A.R. reports consultation and speaker honoraria from Novartis, Amgen, Roche, Celgene, and Italfarmaco. A.M.V. reports speaker honoraria from Novartis and Celgene and fees from Novartis, CTI, Celgene for participation on advisory boards. D.R. reports consulting honoraria from Incyte. M.A. reports research grant support paid to the institution from Incyte, CTI Biopharma, Samus Therapeutics, Janssen, and Gilead. R.T.S. reports consultancy and speaker bureau for Pharmaessentia. R.R. has received consulting fees from Stemline, Celgene, Agios Pharmaceuticals, Apexx Oncology, Beyond Spring, Partner Therapeutics, and Jazz Pharmaceuticals and has received research funding from Constellation Pharmaceuticals, Incyte, and Stemline Therapeutics. R.M. reports research support from Incyte, Genetech, CTI, Promedior, and Abbvie and consulting for Novartis, Sierra Oncology, and La Jolla Pharma. R.H. reports research support from Roche. The remaining authors declare no competing financial interests.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Genomic profile of somatic mutations and copy number variants (CNVs) in baseline samples, as detected by NGS data. Each column represents a patient (n = 110) and each row represents a gene that is mutated in at least 2 patients (n = 22). In the bottom of the figure, each row represents a CNV event (n = 10). The bar plot (top) indicates the number of somatic mutation(s) per patient, colored according to the type of the alteration. The bar plot on the right shows the number of somatic mutations per gene (top) or CNV event (bottom). The frequency of mutations in the cohort is listed on the left border of the figure. The clinical response to treatment is displayed in the annotation bar at the lower axis of the figure according to the legend. The second annotation bar at the bottom panel denotes the classification of each patient according to the molecular classification criteria.
Figure 2.
Figure 2.
Response assessment. Overall response rate at 12 months.
Figure 3.
Figure 3.
Changes in mutant JAK2 (p.V617F) VAF over time. (A) VAF in evaluable samples at baseline, month 12, and end of study. The added P-values highlight a significant difference in median JAK2V617F VAF between CR and NR groups in baseline samples (Wilcoxon test; P = 9.51e-03). (B) JAK2V617F VAF waterfall plot. The y-axis indicates the absolute change of JAK2V617F VAF from baseline to last sample. Each bar represents a patient, highlighted by the best clinical response (as described in the color key). Analysis of the number of patients with increased and decreased VAF between groups indicates that the chance of achieving CR is 15 times higher for patients with a reduced JAK2V617F allele burden (Fisher’s exact test; P = 9.071e-06; OR, 15).
Figure 4.
Figure 4.
Mean changes from baseline during treatment. Negative changes indicate improvement. *MPN-SAF TSS and EORTC QLQ-C30 GHS/QoL transformed to a 0 to 10 scale, where 10 represents the worst outcome, for consistency with other displayed items.

Comment in

  • Reducing the burden of MPN.
    McMullin MF. McMullin MF. Blood. 2019 Oct 31;134(18):1483-1484. doi: 10.1182/blood.2019002804. Blood. 2019. PMID: 31698442 No abstract available.

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