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Clonal evolution in myelodysplastic syndromes

Cancer development is a dynamic process during which the successive accumulation of mutations results in cells with increasingly malignant characteristics. Here, we show the clonal evolution pattern in myelodysplastic syndrome (MDS) patients receiving supportive care, with or without lenalidomide (f...

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Detalles Bibliográficos
Autores principales: da Silva-Coelho, Pedro, Kroeze, Leonie I., Yoshida, Kenichi, Koorenhof-Scheele, Theresia N., Knops, Ruth, van de Locht, Louis T., de Graaf, Aniek O., Massop, Marion, Sandmann, Sarah, Dugas, Martin, Stevens-Kroef, Marian J., Cermak, Jaroslav, Shiraishi, Yuichi, Chiba, Kenichi, Tanaka, Hiroko, Miyano, Satoru, de Witte, Theo, Blijlevens, Nicole M. A., Muus, Petra, Huls, Gerwin, van der Reijden, Bert A., Ogawa, Seishi, Jansen, Joop H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530598/
https://www.ncbi.nlm.nih.gov/pubmed/28429724
http://dx.doi.org/10.1038/ncomms15099
Descripción
Sumario:Cancer development is a dynamic process during which the successive accumulation of mutations results in cells with increasingly malignant characteristics. Here, we show the clonal evolution pattern in myelodysplastic syndrome (MDS) patients receiving supportive care, with or without lenalidomide (follow-up 2.5–11 years). Whole-exome and targeted deep sequencing at multiple time points during the disease course reveals that both linear and branched evolutionary patterns occur with and without disease-modifying treatment. The application of disease-modifying therapy may create an evolutionary bottleneck after which more complex MDS, but also unrelated clones of haematopoietic cells, may emerge. In addition, subclones that acquired an additional mutation associated with treatment resistance (TP53) or disease progression (NRAS, KRAS) may be detected months before clinical changes become apparent. Monitoring the genetic landscape during the disease may help to guide treatment decisions.