Application of a digital PCR method for WT1 to myeloid neoplasms in CR and deep ELN WT1 molecular response (< 10 copies)

E. Bussaglia,M. Pratcorona, M. Carricondo, L. Sansegundo,M. A. Rubio, A. Monter, A. Brell,I. Badell,J. Esteve,M. Arnan, C. Talarn,M. Tormo,A. García, F. Vall-Llovera, X. Ortin,C. Pedro,J. Bargay,S. Brunet,J. Sierra,J. Nomdedéu

Annals of Hematology(2020)

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摘要
Bone marrow WT1 mRNA levels assessed by the ELN method are useful to establish prognostic correlations in myeloid malignancies treated with chemotherapy or hematopoietic stem cell transplantation (HCT). Those patients with WT1 levels below ten copies have a good outcome. However, some of these patients relapse. To further characterize this group of cases, we applied a new and sensitive digital (ddPCR) WT1 method. A consecutive series of 49 patients with treated myeloid malignancies and with an ELN WT1 quantitation of < 10 copies were included in the study. All cases (47 AML and 2 MDS) have received intensive chemotherapy or HCT. One to four micrograms of total RNA were retrotranscribed to obtain ≥ 10,000 ABL1 copies using the ELN protocol. Only those cases with a good quality cDNA were used in the ddPCR WT1 test. The ddPCR Gene Expression WT1 Assay of Bio-Rad© was used to perform the PCR amplification, and the microdroplets were quantified in the Bio-Rad’s QX200 droplet reader. Eighteen patients showed a negative WT1 ddPCR assay (0 copies/μl), whereas 31 cases were positive (results ranged from 1 to 15.2 copies/μl). Survival analysis showed statistically significant differences in terms of OS between both groups, 83 ± 8% vs. 46 ± 9% ( p = 0.024). A statistically significant correlation was also found between ddPCR WT1 results and CD123+ cell number detected by flow cytometry ( p = 0.024). Larger series of patients tested with the current ddPCR WT1 method will solve whether it could be used to stratify patients with myeloid malignancies achieving deep WT1 molecular response (< 10 copies).
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关键词
Leukemia,WT1,Molecular diagnostics,Minimal residual disease,Digital PCR
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