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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
(1987) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040454 · Cited by 59,715
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., Miller, C. A., Mardis, E. R., Ding, L., & Wilson, R. K. (2012) · Genome Research · doi:10.1101/gr.129684.111 · Cited by 4,905
DELLY: structural variant discovery by integrated paired-end and split-read analysis
Rausch, T., Zichner, T., Schlattl, A., Stütz, A. M., Benes, V., & Korbel, J. O. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts378 · Cited by 2,459
Circular binary segmentation for the analysis of array-based DNA copy number data
Olshen, A. B., Venkatraman, E. S., Lucito, R., & Wigler, M. (2004) · Biostatistics · doi:10.1093/biostatistics/kxh008 · Cited by 2,325
Absolute quantification of somatic DNA alterations in human cancer
Carter, S. L., Cibulskis, K., Helman, E., McKenna, A., Shen, H., Zack, T., Laird, P. W., Onofrio, R. C., Winckler, W., Weir, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2203 · Cited by 2,053
Ye, K., Schulz, M. H., Long, Q., Apweiler, R., & Ning, Z. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp394 · Cited by 2,022
Cited by
The 2016 revision of the World Health Organization classification of lymphoid neoplasms
Swerdlow, S. H., Campo, E., Pileri, S. A., Harris, N. L., Stein, H., Siebert, R., Advani, R., Ghielmini, M., Salles, G. A., Zelenetz, A. D., et al. (2016) · Blood · doi:10.1182/blood-2016-01-643569 · Cited by 7,831
Clonal heterogeneity and tumor evolution: past, present, and the future
McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840
Chapuy, B., Stewart, C., Dunford, A. J., Kim, J., Kamburov, A., Redd, R. A., Lawrence, M. S., Roemer, M. G. M., Li, A. J., Ziepert, M., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0016-8 · Cited by 1,941
Biological and therapeutic impact of intratumor heterogeneity in cancer evolution
McGranahan, N., & Swanton, C. (2015) · Cancer Cell · doi:10.1016/j.ccell.2014.12.001 · Cited by 1,077
Germinal centres and B cell lymphomagenesis
Basso, K., & Dalla-Favera, R. (2015) · Nature Reviews Immunology · doi:10.1038/nri3814 · Cited by 510
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
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.