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Impact of clinical features, cytogenetics, genetic mutations, and methylation dynamics of CDKN2B and DLC-1 promoters on treatment response to azacitidine

Authors :
Enrique Seda
Francisca García
Iván Martín
M. Orts
Eva Villamón
Marisa Calabuig
Nuria Yagüe
Azahara Fuentes
Paula Amat
Carlos Solano
Juan Carlos Hernández-Boluda
Mar Tormo
Blanca Navarro
Alicia Serrano
Felipe J. Chaves
Source :
ANNALS OF HEMATOLOGY, r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA, instname, r-FISABIO. Repositorio Institucional de Producción Científica, r-FISABIO: Repositorio Institucional de Producción Científica, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Publication Year :
2020
Publisher :
SPRINGER, 2020.

Abstract

Azacitidine (AZA) is a DNA hypomethylation agent administered in myeloid neoplasms; however, there is still a lack of established predictors of response. We studied 113 patients with myelodysplastic syndromes (n = 85) or acute myeloid leukemia (n = 28) who received AZA to assess the predictive value on response of clinical features, cytogenetics, and molecular markers. Overall, 46 patients (41%) responded to AZA. Platelet doubling after the first AZA cycle was associated with a better response (68% vs. 32% responders, P = 0.041). Co-occurrence of chromosome 7 abnormalities and 17p deletion was associated with a worse response (P = 0.039). Pre-treatment genetic mutations were detected in 98 patients (87%) and methylation of CDKN2B and DLC-1 promoters were detected in 50 (44%) and 37 patients (33%), respectively. Patients with SF3B1 mutations showed a better response to AZA (68% vs. 35% responders, P = 0.008). In contrast, subjects with mutations in transcription factors (RUNX1, SETBP1, NPM1) showed a worse response (20% vs. 47% responders, P = 0.014). DLC-1 methylation pre-treatment was associated with poor clinical features and its reduction post-treatment resulted in a better response to AZA in MDS patients (P = 0.037). In conclusion, we have identified several predictors of response to AZA that could help select the best candidates for this treatment.

Details

ISSN :
09395555
Database :
OpenAIRE
Journal :
ANNALS OF HEMATOLOGY, r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA, instname, r-FISABIO. Repositorio Institucional de Producción Científica, r-FISABIO: Repositorio Institucional de Producción Científica, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Accession number :
edsair.doi.dedup.....68b3ec181c4ef6316cf42315cf1c63bf