Comparison of five diagnostic flow cytometry scores in patients with myelodysplastic syndromes: Diagnostic power and prognostic impact.


Journal

Cytometry. Part B, Clinical cytometry
ISSN: 1552-4957
Titre abrégé: Cytometry B Clin Cytom
Pays: United States
ID NLM: 101235690

Informations de publication

Date de publication:
03 2023
Historique:
revised: 21 07 2021
received: 24 06 2021
accepted: 04 08 2021
pubmed: 15 8 2021
medline: 22 3 2023
entrez: 14 8 2021
Statut: ppublish

Résumé

Flow cytometry (FCM) is a co-criterion in myelodysplastic syndromes (MDS) diagnostics according to the WHO classification. The presented study compared diagnostic power and prognostic impact of different FCM-based scores. A total of 807 bone marrow (BM) samples of patients with cytopenia (543 MDS, 153 non-clonal cytopenias, 111 non-MDS myeloid malignancies) and 78 healthy controls have been investigated using a standardized 8-color-FCM procedure. FCSS, Ogata-score, iFS, RED-score, and ELN-NEC were analyzed for sensitivity and specificity in comparison to standard diagnostic tools. Median follow up for patients was 26 month (range: 0.2-89). The iFS showed the highest accuracy (80%) with the best balance between sensitivity (79%) and specificity (86%). This was also valid in MDS with very low IPSS-R and even in MDS without ring sideroblasts, with normal blast count and karyotype, where iFS could confirm diagnosis in 62% and 65% of patients. Besides the high diagnostic power, the established iFS category "consistent with MDS" was associated with inferior overall survival (OS) independent from WHO classification (median: 51 month vs. not reached, p < 0.0001). Remarkably, this iFS category redefined a subgroup of patients with worse OS within IPSS-R low-risk category (73 month vs. not reached, p = 0.0433). Finally, multivariable analysis showed that iFS added independent prognostic information regarding OS besides IPSS-R. The iFS separates non-clonal cytopenias and MDS with the highest accuracy, provided information in addition to standard diagnostic procedures, and refined established prognostic tools for outcome prediction.

Sections du résumé

BACKGROUND
Flow cytometry (FCM) is a co-criterion in myelodysplastic syndromes (MDS) diagnostics according to the WHO classification. The presented study compared diagnostic power and prognostic impact of different FCM-based scores.
METHODS
A total of 807 bone marrow (BM) samples of patients with cytopenia (543 MDS, 153 non-clonal cytopenias, 111 non-MDS myeloid malignancies) and 78 healthy controls have been investigated using a standardized 8-color-FCM procedure. FCSS, Ogata-score, iFS, RED-score, and ELN-NEC were analyzed for sensitivity and specificity in comparison to standard diagnostic tools. Median follow up for patients was 26 month (range: 0.2-89).
RESULTS
The iFS showed the highest accuracy (80%) with the best balance between sensitivity (79%) and specificity (86%). This was also valid in MDS with very low IPSS-R and even in MDS without ring sideroblasts, with normal blast count and karyotype, where iFS could confirm diagnosis in 62% and 65% of patients. Besides the high diagnostic power, the established iFS category "consistent with MDS" was associated with inferior overall survival (OS) independent from WHO classification (median: 51 month vs. not reached, p < 0.0001). Remarkably, this iFS category redefined a subgroup of patients with worse OS within IPSS-R low-risk category (73 month vs. not reached, p = 0.0433). Finally, multivariable analysis showed that iFS added independent prognostic information regarding OS besides IPSS-R.
CONCLUSIONS
The iFS separates non-clonal cytopenias and MDS with the highest accuracy, provided information in addition to standard diagnostic procedures, and refined established prognostic tools for outcome prediction.

Identifiants

pubmed: 34390327
doi: 10.1002/cyto.b.22030
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

141-150

Informations de copyright

© 2021 The Authors. Cytometry Part B: Clinical Cytometry published by Wiley Periodicals LLC on behalf of International Clinical Cytometry Society.

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Auteurs

Uta Oelschlaegel (U)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Lorenz Oelschlaeger (L)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Malte von Bonin (M)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU Dresden, and German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ) Heidelberg, Dresden, Germany.

Michael Kramer (M)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Katja Sockel (K)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Brigitte Mohr (B)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Lisa Wagenfuehr (L)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Frank Kroschinsky (F)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU, Dresden, Germany.

Martin Bornhaeuser (M)

Department of Internal Medicine, University Hospital Carl-Gustav-Carus, TU Dresden, German Cancer Research Center (DKFZ), and National Center for Tumor Diseases (NCT) Heidelberg, Dresden, Germany.

Uwe Platzbecker (U)

Medical Clinic and Policlinic 1, Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany.

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