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The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma

Open access
Okosun, Jessica, Bödör, Csaba, Wang, Jun, Araf, Shamzah, Yang, Cheng-Yuan, Pan, Chenyi, Boller, Sören, Cittaro, Davide, Bozek, Monika, Iqbal, Sameena, Matthews, Janet, Wrench, David, Marzec, Jacek, Tawana, Kiran, Popov, Nikolay, O'Riain, Ciaran, O'Shea, Derville, Carlotti, Emanuela, Davies, Andrew, Lawrie, Charles H, Matolcsy, András, Calaminici, Maria, Norton, Andrew, Byers, Richard J, Mein, Charles, Stupka, Elia, Lister, T Andrew, Lenz, Georg, Montoto, Silvia, Gribben, John G, Fan, Yuhong, Grosschedl, Rudolf, Chelala, Claude, Fitzgibbon, Jude·2014·Nature Genetics

Abstract

Follicular lymphoma is an incurable malignancy, with transformation to an aggressive subtype representing a critical event during disease progression. Here we performed whole-genome or whole-exome sequencing on 10 follicular lymphoma–transformed follicular lymphoma pairs followed by deep sequencing of 28 genes in an extension cohort, and we report the key events and evolutionary processes governing tumor initiation and transformation. Tumor evolution occurred through either a 'rich' or 'sparse' ancestral common progenitor clone (CPC). We identified recurrent mutations in linker histone, JAK-STAT signaling, NF-κB signaling and B cell developmental genes. Longitudinal analyses identified early driver mutations in chromatin regulator genes (CREBBP, EZH2 and KMT2D (MLL2)), whereas mutations in EBF1 and regulators of NF-κB signaling (MYD88 and TNFAIP3) were gained at transformation. Collectively, this study provides new insights into the genetic basis of follicular lymphoma and the clonal dynamics of transformation and suggests that personalizing therapies to target key genetic alterations in the CPC represents an attractive therapeutic strategy.

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Metadata

Authors
Okosun, J., Bödör, C., Wang, J., Araf, S., Yang, C.-Y., Pan, C., Boller, S., Cittaro, D., Bozek, M., Iqbal, S., Matthews, J., Wrench, D., Marzec, J., Tawana, K., Popov, N., O'Riain, C., O'Shea, D., Carlotti, E., Davies, A., Lawrie, C. H., Matolcsy, A., Calaminici, M., Norton, A., Byers, R. J., Mein, C., Stupka, E., Lister, T. A., Lenz, G., Montoto, S., Gribben, J. G., Fan, Y., Grosschedl, R., Chelala, C., & Fitzgibbon, J.
Venue
Nature Genetics
Published
2013-12-22
Volume
46
Issue
2
Pages
176-181
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2090505632
Cited by
734
References
51
FWCI
39.36
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. https://app.cochat.ai/papers/10.1038/ng.2856
The paper
Okosun, J., Bödör, C., Wang, J., Araf, S., Yang, C.-Y., Pan, C., Boller, S., Cittaro, D., Bozek, M., Iqbal, S., Matthews, J., Wrench, D., Marzec, J., Tawana, K., Popov, N., O'Riain, C., O'Shea, D., Carlotti, E., Davies, A., . . . Fitzgibbon, J. (2014). Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nature Genetics. https://doi.org/10.1038/ng.2856

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