Quantitative chimerism in CD3-negative mononuclear cells predicts prognosis in acute myeloid leukemia patients after hematopoietic stem cell transplantation.
Adolescent
Adult
Aged
Biomarkers, Tumor
/ metabolism
CD3 Complex
/ metabolism
Chimerism
Female
Follow-Up Studies
Hematopoietic Stem Cell Transplantation
/ mortality
Humans
Leukemia, Myeloid, Acute
/ metabolism
Male
Middle Aged
Neoplasm Recurrence, Local
/ metabolism
Neoplasm, Residual
/ metabolism
Prognosis
Retrospective Studies
Survival Rate
Transplantation, Homologous
WT1 Proteins
/ metabolism
Young Adult
Journal
Leukemia
ISSN: 1476-5551
Titre abrégé: Leukemia
Pays: England
ID NLM: 8704895
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
12
04
2019
accepted:
03
11
2019
revised:
18
10
2019
pubmed:
27
11
2019
medline:
30
9
2020
entrez:
27
11
2019
Statut:
ppublish
Résumé
Relapse is a major complication of acute myeloid leukemia (AML) after allogeneic hematopoietic stem cell transplantation (SCT). The objective of our study was to evaluate chimerism monitoring on the CD3-negative mononuclear cells by RQ-PCR to predict relapse of patients allografted for AML and to compare its performance with WT1 quantification. A cohort of 100 patients undergoing allogenic SCT for AML was retrospectively analyzed in a single institution. Patients without complete chimerism, defined as less than 0.01% of recipient's DNA in CD3-negative cells, had a significantly higher risk of relapse and a lower overall survival (p < 0.001). An increase in the percentage of recipient DNA in CD3-negative cells was associated with an increased risk of relapse (p < 0.001) but not with overall survival. Comparable performances between monitoring of CD3-negative cell chimerism and WT1 expression to predict relapse was observed up to more than 90 days before hematological relapse, with sensitivity of 82% and 78%, respectively, and specificity of 100% for both approaches. Quantitative specific chimerism of the CD3-negative mononuclear fraction, enriched in blastic cells, is a new and powerful tool for monitoring measurable residual disease and could be used for AML patients without available molecular markers.
Identifiants
pubmed: 31768015
doi: 10.1038/s41375-019-0624-4
pii: 10.1038/s41375-019-0624-4
doi:
Substances chimiques
Biomarkers, Tumor
0
CD3 Complex
0
WT1 Proteins
0
WT1 protein, human
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1342-1353Références
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