Clinical and biological implications of driver mutations in myelodysplastic syndromes

Eva Hellström‐Lindberg, Moritz Gerstung, Peter Ellis, Peter Van Loo, Keiran Raine, Adam P. Butler, David C. Wedge, Sung-Soo Yoon, Peter J. Campbell, Jacqueline Boultwood, David Bowen, Carlo Gambacorti‐Passerini, Anthony R. Green, Gunes Gundem, Luca Malcovati, Sarah O’Meara, Michael R. Stratton, Jon W. Teague, Paresh Vyas, Mario Cazzola, Matteo Giovanni Della Porta, Andrea Pellagatti, Elli Papaemmanuil, Stuart McLaren, Laura Mudie, Calli Latimer, Simon Forbes, Claire Hardy, Adam Shlien, Nicholas C.P. Cross, Anna Gallì, Michael J. Groves, Sudhir Tauro, Jon Hinton, Ilaria Ambaglio, Gunilla Walldin, Lynn Quek, Alex Sternberg
2013-09-12

SCID:  54.1/zqafzca3
Myelodysplastic syndromes (MDS) are a heterogeneous group of chronic hematological malignancies characterized by dysplasia, ineffective hematopoiesis and a variable risk of progression to acute myeloid leukemia. Sequencing of MDS genomes has identified mutations in genes implicated in RNA splicing, DNA modification, chromatin regulation, and cell signaling. We sequenced 111 genes across 738 patients with MDS or closely related neoplasms (including chronic myelomonocytic leukemia and MDS-myeloproliferative neoplasms) to explore the role of acquired mutations in MDS biology and clinical phenotype. Seventy-eight percent of patients had 1 or more oncogenic mutations. We identify complex patterns of pairwise association between genes, indicative of epistatic interactions involving components of the spliceosome machinery and epigenetic modifiers. Coupled with inferences on subclonal mutations, these data suggest a hypothesis of genetic "predestination," in which early driver mutations, typically affecting genes involved in RNA splicing, dictate future trajectories of disease evolution with distinct clinical phenotypes. Driver mutations had equivalent prognostic significance, whether clonal or subclonal, and leukemia-free survival deteriorated steadily as numbers of driver mutations increased. Thus, analysis of oncogenic mutations in large, well-characterized cohorts of patients illustrates the interconnections between the cancer genome and disease biology, with considerable potential for clinical application.
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2013-09-12
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Eva Hellström‐Lindberg
Moritz Gerstung
Peter Ellis
Peter Van Loo
Keiran Raine
Adam P. Butler
David C. Wedge
Sung-Soo Yoon
Peter J. Campbell
Jacqueline Boultwood
David Bowen
Carlo Gambacorti‐Passerini
Anthony R. Green
Gunes Gundem
Luca Malcovati
Sarah O’Meara
Michael R. Stratton
Jon W. Teague
Paresh Vyas
Mario Cazzola
Matteo Giovanni Della Porta
Andrea Pellagatti
Elli Papaemmanuil
Stuart McLaren
Laura Mudie
Calli Latimer
Simon Forbes
Claire Hardy
Adam Shlien
Nicholas C.P. Cross
Anna Gallì
Michael J. Groves
Sudhir Tauro
Jon Hinton
Ilaria Ambaglio
Gunilla Walldin
Lynn Quek
Alex Sternberg
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