Molecular prognostication for transplant decision making of patients with myelodysplastic syndromes: A retrospective single-center study.

Hematopoietic stem cell transplantation Myelodysplastic syndromes Prognosis Somatic mutations

Journal

Leukemia research
ISSN: 1873-5835
Titre abrégé: Leuk Res
Pays: England
ID NLM: 7706787

Informations de publication

Date de publication:
26 May 2024
Historique:
received: 28 03 2024
revised: 22 05 2024
accepted: 24 05 2024
medline: 1 6 2024
pubmed: 1 6 2024
entrez: 31 5 2024
Statut: aheadofprint

Résumé

Allogeneic hematopoietic stem cell transplantation (HSCT) remains the only curative option for patients with Myelodysplastic syndromes (MDS). For many years, the selection of patients to allogeneic HSCT has been largely based on use of the International Prognostic Scoring System-Revised (IPSS-R). However, the recent broader application of next generation sequencing in clinical practice provided an abundance of molecular data and led to the introduction of molecular prognostic scores as IPSS-Molecular (IPSS-M). In this paper, we retrospectively analyzed the outcomes of 57 consecutive MDS patients treated with allogeneic HSCT in our center. Re-stratification from IPSS-R to IPSS-M occurred in almost half of patients. The application of IPSS-M to our cohort demonstrated a stronger prognostic separation compared to IPSS-R and improved the C-index. Very high-risk IPSS-M patients showed worse outcomes following HSCT compared to high-risk patients. This study provides data supporting the need of integrating molecular information in the transplant decision making of patients with MDS. This allows an earlier and better identification of patients to whom the transplant should be advised.

Identifiants

pubmed: 38820666
pii: S0145-2126(24)00095-X
doi: 10.1016/j.leukres.2024.107529
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107529

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest AR: Fees for consultancies and participation in meetings, boards, and symposia sponsored by Amgen, Pfizer, Novartis, Kite-Gilead, Jazz, Astellas, Abbvie, Incyte, Omeros. The other authors declare no conflict of interest.

Auteurs

Annalisa Condorelli (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy; University of Milan-Bicocca, Monza, Italy.

Marco Frigeni (M)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Giulia Quaresmini (G)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Silvia Salmoiraghi (S)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Chiara Pavoni (C)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Anna Grassi (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Matteo Raviglione (M)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Alessia Civini (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Alessandro Putelli (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy; University of Milan, Milan, Italy.

Federico Lussana (F)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy; University of Milan, Milan, Italy.

Maria Chiara Finazzi (MC)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Alessandra Algarotti (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Maria Caterina Micò (MC)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Orietta Spinelli (O)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Alessandro Rambaldi (A)

Department of Oncology and Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy; University of Milan, Milan, Italy. Electronic address: alessandro.rambaldi@unimi.it.

Classifications MeSH