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. 2024 Sep 12;144(11):1221-1229.
doi: 10.1182/blood.2023023723.

Molecular and clinical presentation of UBA1-mutated myelodysplastic syndromes

Affiliations

Molecular and clinical presentation of UBA1-mutated myelodysplastic syndromes

Maria Sirenko et al. Blood. .

Abstract

Mutations in UBA1, which are disease-defining for VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) syndrome, have been reported in patients diagnosed with myelodysplastic syndromes (MDS). Here, we define the prevalence and clinical associations of UBA1 mutations in a representative cohort of patients with MDS. Digital droplet polymerase chain reaction profiling of a selected cohort of 375 male patients lacking MDS disease-defining mutations or established World Health Organization (WHO) disease classification identified 28 patients (7%) with UBA1 p.M41T/V/L mutations. Using targeted sequencing of UBA1 in a representative MDS cohort (n = 2027), we identified an additional 27 variants in 26 patients (1%), which we classified as likely/pathogenic (n = 12) and of unknown significance (n = 15). Among the total 40 patients with likely/pathogenic variants (2%), all were male and 63% were classified by WHO 2016 criteria as MDS with multilineage dysplasia or MDS with single-lineage dysplasia. Patients had a median of 1 additional myeloid gene mutation, often in TET2 (n = 12), DNMT3A (n = 10), ASXL1 (n = 3), or SF3B1 (n = 3). Retrospective clinical review, where possible, showed that 82% (28/34) UBA1-mutant cases had VEXAS syndrome-associated diagnoses or inflammatory clinical presentation. The prevalence of UBA1 mutations in patients with MDS argues for systematic screening for UBA1 in the management of MDS.

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Conflict of interest statement

Conflict-of-interest disclosure: U.G. has received honoraria from Celgene, Novartis, Amgen, Janssen, Roche, and Jazz; and has received research funding from Celgene and Novartis. A.A.v.d.L. serves on advisory boards of Celgene, Amgen, Roche, Novartis, and Alexion; and has received research funding from Celgene. F.T. serves on the advisory boards of Jazz, Pfizer, and AbbVie; and has received research funding from Celgene. I.K. serves on the advisory board of Genesis Pharma; and has received research funding from Celgene and Janssen Hellas. F.P.S.S. has received honoraria from Janssen-Cilag, Bristol Myers Squibb, Novartis, Amgen, AbbVie, and Pfizer; serves on the advisory boards of Novartis, Amgen, and AbbVie; and has received research funding from Novartis. M.R.S. serves on the advisory boards of AbbVie, Astex, Celgene, Karyopharm, Selvita, and TG Therapeutic; has equity in Karyopharm; and has received research funding from Astex, Incyte, Sunesis, Takeda, and TG Therapeutics. G.S. serves on the advisory boards of AbbVie, Amgen, Astellas, Böehringer-Ingelheim, Celgene, Helsinn Healthcare, Hoffmann-La Roche, Janssen-Cilag, Novartis, and Onconova; and has received research funding from Celgene, Hoffmann-La Roche, Janssen-Cilag, and Novartis. L.A. serves on the advisory boards of AbbVie, Astex, Celgene, and Novartis and has received research funding from Celgene. M.H. has received honoraria from Novartis, Pfizer, and PriME Oncology; serves on the advisory boards of AbbVie, Bayer Pharma, Daiichi Sankyo, Novartis, and Pfizer and has received institutional research funding from Astellas, Bayer Pharma, BergenBio, Daiichi Sankyo, Karyopharm, Novartis, Pfizer, and Roche. P.V. has received honoraria and research funding from Celgene. C.F. serves on the advisory boards of, and has received honoraria from, Celgene, Novartis, and Janssen; and has received research funding from Celgene. M.T.V. serves on the advisory board of Celgene; has received honoraria from Celgene and Novartis; and has received research funding from Celgene. N.G. serves on the advisory board of, and has received honoraria from, Novartis; and has received research funding from Alexion. B.L.E. has received research funding from Celgene and Deerfield. R.B. serves on the advisory boards of Celgene, AbbVie, Astex, NeoGenomics, and Daiichi Sankyo; and has received research funding from Celgene and Takeda. D.B.B. receives consulting fees from Alexion Pharmaceuticals and is on the advisory boards for Novartis and Sobi. E.H.-L. has received research funding from Celgene. E.P. is a founder, equity holder, and holds fiduciary roles in Isabl Inc, a company offering analytics for cancer whole-genome sequencing data; and holds stock options in TenSixteen Bio. The remaining authors declare no competing financial interests.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Prevalence of UBA1 mutations in MDS. (A) Schematic of study design showing cohort A (top) profiled by ddPCR and cohort B (bottom) profiled by NGS for UBA1 mutations. (B) Lollipop plot showing likely pathogenic mutations (top) and VUS (bottom) in UBA1 detected by ddPCR and/or NGS. Variants are colored by VAF and point shape indicates whether the variant was detected by ddPCR, NGS, or both. VUS in the noncanonical transcripts are reported below the x-axis. (C) VAF of UBA1 mutations detected by NGS in cohort B, adjusted for single copy of chromosome X in males. (D) Correlation of UBA1 NGS VAF and ddPCR mutant droplet fraction for patients (n = 8) with UBA1 p.M41T/V/L variants detected by both assays. (E) Stacked bar plot of WHO 2016 classification (available for n = 53/54). (F) Stacked bar plot of IPSS-M risk category (available for n = 48/54). (G) Stacked bar plot of number of co-occurring mutations in 54 patients with UBA1-mutated MDS (left) and cohort B (right).
Figure 2.
Figure 2.
Comutation patterns and clinical presentation of UBA1-mutated MDS. (A) Oncoprint for the total cohort of patients with UBA1-mutant MDS (n = 54) including results of retrospective review of clinical history for inflammatory features (bottom). Patients are ordered by decreasing UBA1 VAF per group (p.M41, non-p.M41 pathogenic, and VUS). (B) Frequency of comutations in patients with UBA1-mutated and –wild-type MDS. (C) VAF of pathogenic UBA1 and co-occurring DNMT3A (left) and TET2 (right) mutations. UBA1 VAF was adjusted for single copy of ChrX for comparison with heterozygous mutations in this analysis. Gray dashed line represents the identity line. Black solid line represents a linear model fit to the data. (D) Stacked bar plot of clinical inflammatory manifestations for n = 54 patients. (E) Kaplan-Meier curve for overall survival in cohort A (ddPCR) of patients with MDS with (blue) or without (red) UBA1 p.M41T/V/L mutations. Number of patients per group and P values are indicated on the plot. APR, acute phase reactants; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase.
Figure 2.
Figure 2.
Comutation patterns and clinical presentation of UBA1-mutated MDS. (A) Oncoprint for the total cohort of patients with UBA1-mutant MDS (n = 54) including results of retrospective review of clinical history for inflammatory features (bottom). Patients are ordered by decreasing UBA1 VAF per group (p.M41, non-p.M41 pathogenic, and VUS). (B) Frequency of comutations in patients with UBA1-mutated and –wild-type MDS. (C) VAF of pathogenic UBA1 and co-occurring DNMT3A (left) and TET2 (right) mutations. UBA1 VAF was adjusted for single copy of ChrX for comparison with heterozygous mutations in this analysis. Gray dashed line represents the identity line. Black solid line represents a linear model fit to the data. (D) Stacked bar plot of clinical inflammatory manifestations for n = 54 patients. (E) Kaplan-Meier curve for overall survival in cohort A (ddPCR) of patients with MDS with (blue) or without (red) UBA1 p.M41T/V/L mutations. Number of patients per group and P values are indicated on the plot. APR, acute phase reactants; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase.

Comment in

  • Bone marrow vexations.
    Fox LC. Fox LC. Blood. 2024 Sep 12;144(11):1140-1141. doi: 10.1182/blood.2024024971. Blood. 2024. PMID: 39264609 No abstract available.

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