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A sex-informed approach to improve the personalised decision making process in myelodysplastic syndromes

Authors :
Giulia Maggioni
Matteo Bersanelli
Erica Travaglino
Ana Alfonso Piérola
Annika Kasprzak
Arnan Sangerman Montserrat
Elisabetta Sauta
Claudia Sala
Tommaso Matteuzzi
Manja Meggendorfer
Matteo Gnocchi
Lin-Pierre Zhao
Cristina Astrid Tentori
Kathrin Nachtkamp
Daniele Dall'Olio
Ettore Mosca
Marta Ubezio
Alessia Campagna
Antonio Russo
Giulia Rivoli
Massimo Bernardi
Lorenza Borin
Maria Teresa Voso
Marta Riva
Esther Oliva
Matteo Zampini
Elena Riva
Elena Saba
Saverio D'Amico
Luca Lanino
Benedetta Tinterri
Francesca Re
Marilena Bicchieri
Laura Giordano
Giovanni Angelotti
Pierandrea Morandini
Anne Sophie Kubasch
Francesco Passamonti
Alessandro Rambaldi
Victor Savevski
Armando Santoro
Arjan A. van de Loosdrecht
Alice Brogi
Valeria Santini
Shahram Kordasti
Guillermo Sanz
Francesc Sole
Norbert Gattermann
Wolfgang Kern
Uwe Platzbecker
Lionel Ades
Pierre Fenaux
Torsten Haferlach
Gastone Castellani
Ulrich Germing
Maria Diez-Campelo
Matteo G. Della Porta
Hematology
AII - Cancer immunology
AII - Inflammatory diseases
CCA - Cancer biology and immunology
Maggioni, G
Bersanelli, M
Travaglino, E
Alfonso Piérola, A
Kasprzak, A
Sangerman Montserrat, A
Sauta, E
Sala, C
Matteuzzi, T
Meggendorfer, M
Gnocchi, M
Zhao, L
Astrid Tentori, C
Nachtkamp, K
Dall'Olio, D
Mosca, E
Ubezio, M
Campagna, A
Russo, A
Rivoli, G
Bernardi, M
Borin, L
Teresa Voso, M
Riva, M
Oliva, E
Zampini, M
Riva, E
Saba, E
D'Amico, S
Lanino, L
Tinterri, B
Re, F
Bicchieri, M
Giordano, L
Angelotti, G
Morandini, P
Sophie Kubasch, A
Passamonti, F
Rambaldi, A
Savevski, V
Santoro, A
A van de Loosdrecht, A
Brogi, A
Santini, V
Kordasti, S
Sanz, G
Sole, F
Gattermann, N
Kern, W
Platzbecker, U
Ades, L
Fenaux, P
Haferlach, T
Castellani, G
Germing, U
Diez-Campelo, M
G Della Porta, M
Source :
GenoMed4All consortium 2023, ' A sex-informed approach to improve the personalised decision making process in myelodysplastic syndromes : a multicentre, observational cohort study ', The Lancet Haematology, vol. 10, no. 2, pp. e117-e128 . https://doi.org/10.1016/S2352-3026(22)00323-4, The Lancet Haematology, 10(2), e117-e128. Lancet Publishing Group
Publication Year :
2023

Abstract

Background Sex is a major source of diversity among patients and a sex-informed approach is becoming a new paradigm in precision medicine. We aimed to describe sex diversity in myelodysplastic syndromes in terms of disease genotype, phenotype, and clinical outcome. Moreover, we sought to incorporate sex information into the clinical decision-making process as a fundamental component of patient individuality. Methods In this multicentre, observational cohort study, we retrospectively analysed 13 284 patients aged 18 years or older with a diagnosis of myelodysplastic syndrome according to 2016 WHO criteria included in the EuroMDS network (n=2025), International Working Group for Prognosis in MDS (IWG-PM; n=2387), the Spanish Group of Myelodysplastic Syndromes registry (GESMD; n=7687), or the Dusseldorf MDS registry (n=1185). Recruitment periods for these cohorts were between 1990 and 2016. The correlation between sex and genomic features was analysed in the EuroMDS cohort and validated in the IWG-PM cohort. The effect of sex on clinical outcome, with overall survival as the main endpoint, was analysed in the EuroMDS population and validated in the other three cohorts. Finally, novel prognostic models incorporating sex and genomic information were built and validated, and compared to the widely used revised International Prognostic Scoring System (IPSS-R). This study is registered with ClinicalTrials.gov, NCT04889729. Findings The study included 7792 (58middot7%) men and 5492 (41middot3%) women. 10 906 (82middot1%) patients were White, and race was not reported for 2378 (17middot9%) patients. Sex biases were observed at the single-gene level with mutations in seven genes enriched in men (ASXL1, SRSF2, and ZRSR2 p

Details

Language :
English
ISSN :
23523026
Volume :
10
Issue :
2
Database :
OpenAIRE
Journal :
The Lancet Haematology
Accession number :
edsair.doi.dedup.....503395a18d54ac04f5422062d52b818c