Clonal evolution in myelodysplastic syndromes

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作者
Pedro da Silva-Coelho
Leonie I. Kroeze
Kenichi Yoshida
Theresia N. Koorenhof-Scheele
Ruth Knops
Louis T. van de Locht
Aniek O. de Graaf
Marion Massop
Sarah Sandmann
Martin Dugas
Marian J. Stevens-Kroef
Jaroslav Cermak
Yuichi Shiraishi
Kenichi Chiba
Hiroko Tanaka
Satoru Miyano
Theo de Witte
Nicole M. A. Blijlevens
Petra Muus
Gerwin Huls
Bert A. van der Reijden
Seishi Ogawa
Joop H. Jansen
机构
[1] Laboratory of Hematology,Department of Haematology
[2] Radboud University Medical Center,Department of Pathology and Tumor Biology
[3] Centro Hospitalar de São João and Faculdade de Medicina da Universidade do Porto,Department of Human Genetics
[4] Alameda Professor Hernâni Monteiro,Department of Tumor Immunology
[5] Graduate School of Medicine,Department of Hematology
[6] Kyoto University,Department of Hematology
[7] Yoshida-Konoe-cho,undefined
[8] Sakyo-ku,undefined
[9] Kyoto-shi,undefined
[10] Institute of Medical Informatics,undefined
[11] University of Münster,undefined
[12] Radboud University Medical Center,undefined
[13] Institute of Hematology and Blood Transfusion,undefined
[14] Human Genome Center,undefined
[15] Institute of Medical Science,undefined
[16] The University of Tokyo,undefined
[17] Radboud University Medical Center,undefined
[18] Radboud Institute for Molecular Life Sciences,undefined
[19] Radboud University Medical Center,undefined
[20] University Medical Centre Groningen,undefined
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摘要
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.
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