The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Genetics of diffuse large B-cell lymphoma
Open accessAbstract
Diffuse large B-cell lymphoma (DLBCL), the most frequent subtype of lymphoid malignancy, remains a significant clinical challenge, as ∼30% of patients are not cured. Over the past decade, remarkable progress has been made in the understanding of the pathogenesis of this disease, spurred by the implementation of powerful genomic technologies that enabled the definition of its genetic and epigenetic landscape. These studies have uncovered a multitude of genomic alterations that contribute to the initiation and maintenance of the tumor clone by disrupting biological functions known to be critical for the normal biology of its cells of origin, germinal center B cells. The identified alterations involve epigenetic remodeling, block of differentiation, escape from immune surveillance, and the constitutive activation of several signal transduction pathways. This wealth of new information offers unique opportunities for the development of improved diagnostic and prognostic tools that could help guide the clinical management of DLBCL patients. Furthermore, a number of the mutated genes identified are potentially actionable targets that are currently being explored for the development of novel therapeutic strategies. This review summarizes current knowledge of the most common genetic alterations associated with DLBCL in relation to their functional impact on the malignant transformation process, and discusses their clinical implications for mechanism-based therapeutics.
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
CBP/p300 in cell growth, transformation, and development
Goodman, R. H., & Smolik, S. (2000) · Genes & Development · doi:10.1101/gad.14.13.1553 · Cited by 1,778
Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma
Morin, R. D., Mendez-Lago, M., Mungall, A. J., Goya, R., Mungall, K. L., Corbett, R. D., Johnson, N. A., Severson, T. M., Chiu, R., Field, M., et al. (2011) · Nature · doi:10.1038/nature10351 · Cited by 1,614
Rubinstein-Taybi syndrome caused by mutations in the transcriptional co-activator CBP
Petrif, F., Giles, R. H., Dauwerse, H. G., Saris, J. J., Hennekam, R. C. M., Masuno, M., Tommerup, N., van Ommen, G.-J. B., Goodman, R. H., Peters, D. J. M., et al. (1995) · Nature · doi:10.1038/376348a0 · Cited by 1,217
Genetic and functional drivers of diffuse large B cell lymphoma
Reddy, A., Zhang, J., Davis, N. S., Moffitt, A. B., Love, C. L., Waldrop, A., Leppa, S., Pasanen, A., Meriranta, L., Karjalainen-Lindsberg, M.-L., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.027 · Cited by 1,104
Shilatifard, A. (2012) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-051710-134100 · Cited by 1,091
A selective inhibitor of EZH2 blocks H3K27 methylation and kills mutant lymphoma cells
Knutson, S. K., Wigle, T. J., Warholic, N. M., Sneeringer, C. J., Allain, C. J., Klaus, C. R., Sacks, J. D., Raimondi, A., Majer, C. R., Song, J., et al. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1084 · Cited by 776
An Overview of MYC and Its Interactome
Conacci-Sorrell, M., McFerrin, L., & Eisenman, R. N. (2014) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a014357 · Cited by 408
CARMA1, BCL-10 and MALT1 in lymphocyte development and activation
Thome, M. (2004) · Nature Reviews Immunology · doi:10.1038/nri1352 · Cited by 391
Cattoretti, G., Pasqualucci, L., Ballon, G., Tam, W., Nandula, S. V., Shen, Q., Mo, T., Murty, V. V., & Dalla-Favera, R. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.03.037 · Cited by 383
Self-citationA Small-Molecule Inhibitor of BCL6 Kills DLBCL Cells In Vitro and In Vivo
Cerchietti, L. C., Ghetu, A. F., Zhu, X., Da Silva, G. F., Zhong, S., Matthews, M., Bunting, K. L., Polo, J. M., Farès, C., Arrowsmith, C. H., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.050 · Cited by 288
Cited by
The MLL3/4 H3K4 methyltransferase complex in establishing an active enhancer landscape
Wang, L.-H., Aberin, M. A. E., Wu, S., & Wang, S.-P. (2021) · Biochemical Society Transactions · doi:10.1042/bst20191164 · Cited by 53
RHO Family GTPases in the Biology of Lymphoma
Voena, C., & Chiarle, R. (2019) · Cells · doi:10.3390/cells8070646 · Cited by 35
Metadata
- Authors
- Pasqualucci, L., & Dalla-Favera, R.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2018-05-24
- Volume
- 131
- Issue
- 21
- Pages
- 2307-2319
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2800080453
- Cited by
- 282
- References
- 11
- FWCI
- 20.41
- 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
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.
