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Göteborgs universitets publikationer

Patient-tailored analysis of minimal residual disease in acute myeloid leukemia using next generation sequencing.

Författare och institution:
Erik Br Malmberg (-); Sara Ståhlman (Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin); Anna Rehammar (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU); Tore Samuelsson (Institutionen för biomedicin, avdelningen för medicinsk kemi och cellbiologi); Sofie J Alm (-); Erik Kristiansson (Institutionen för matematiska vetenskaper, matematisk statistik, Chalmers/GU); Jonas Abrahamsson (Institutionen för kliniska vetenskaper, sektionen för kvinnors och barns hälsa, Avdelningen för pediatrik); Hege Garelius (-); Louise Pettersson (-); Mats Ehinger (-); Lars Palmqvist (Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin); Linda Fogelstrand (Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin)
Publicerad i:
European journal of haematology, Epub ahead of print
ISSN:
1600-0609
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2016
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
Next generation sequencing techniques have revealed that leukemic cells in acute myeloid leukemia often are characterized by a limited number of somatic mutations. These mutations can be the basis for detection of leukemic cells in follow-up samples. The aim of this study was to identify leukemia-specific mutations in cells from patients with acute myeloid leukemia and to use these mutations as markers for minimal residual disease. Leukemic cells and normal lymphocytes were simultaneously isolated at diagnosis from 17 patients with acute myeloid leukemia using fluorescence activated cell sorting. Exome sequencing of these cells identified 240 leukemia-specific single nucleotide variations and 22 small insertions and deletions. Based on estimated allele frequencies and their accuracies, 191 of these mutations qualified as candidates for minimal residual disease analysis. Targeted deep sequencing with a significance threshold of 0.027% for single nucleotide variations and 0.006% for NPM1 type A mutation was developed for quantification of minimal residual disease. When tested on follow-up samples from a patient with acute myeloid leukemia, targeted deep sequencing of single nucleotide variations as well as NPM1 was more sensitive than minimal residual disease quantification with multiparameter flow cytometry. In conclusion, we here describe how exome sequencing can be used for identification of leukemia-specific mutations in samples already at diagnosis of acute myeloid leukemia. We also show that targeted deep sequencing of such mutations, including single nucleotide variations, can be used for high-sensitivity quantification of minimal residual disease in a patient-tailored manner. This article is protected by copyright. All rights reserved.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
MEDICIN OCH HÄLSOVETENSKAP ->
Klinisk medicin ->
Pediatrik
Postens nummer:
237170
Posten skapad:
2016-06-01 09:45
Posten ändrad:
2016-06-01 10:05

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