The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Molecular Diagnosis of Burkitt's Lymphoma
Open accessAbstract
BACKGROUND: The distinction between Burkitt's lymphoma and diffuse large-B-cell lymphoma is crucial because these two types of lymphoma require different treatments. We examined whether gene-expression profiling could reliably distinguish Burkitt's lymphoma from diffuse large-B-cell lymphoma. METHODS: Tumor-biopsy specimens from 303 patients with aggressive lymphomas were profiled for gene expression and were also classified according to morphology, immunohistochemistry, and detection of the t(8;14) c-myc translocation. RESULTS: A classifier based on gene expression correctly identified all 25 pathologically verified cases of classic Burkitt's lymphoma. Burkitt's lymphoma was readily distinguished from diffuse large-B-cell lymphoma by the high level of expression of c-myc target genes, the expression of a subgroup of germinal-center B-cell genes, and the low level of expression of major-histocompatibility-complex class I genes and nuclear factor-kappaB target genes. Eight specimens with a pathological diagnosis of diffuse large-B-cell lymphoma had the typical gene-expression profile of Burkitt's lymphoma, suggesting they represent cases of Burkitt's lymphoma that are difficult to diagnose by current methods. Among 28 of the patients with a molecular diagnosis of Burkitt's lymphoma, the overall survival was superior among those who had received intensive chemotherapy regimens instead of lower-dose regimens. CONCLUSIONS: Gene-expression profiling is an accurate, quantitative method for distinguishing Burkitt's lymphoma from diffuse large-B-cell lymphoma.
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
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Prostate Stem Cell Antigen Is Overexpressed in Prostate Cancer Metastases
Lam, J. S., Yamashiro, J., Shintaku, I. P., Vessella, R. L., Jenkins, R. B., Horvath, S., Said, J. W., & Reiter, R. E. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-1842 · Cited by 211
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
Self-citationTumor-Associated Macrophages and Survival in Classic Hodgkin's Lymphoma
Steidl, C., Lee, T., Shah, S. P., Farinha, P., Han, G., Nayar, T., Delaney, A., Jones, S. J., Iqbal, J., Weisenburger, D. D., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0905680 · Cited by 1,262
Self-citationAukema, S. M., Siebert, R., Schuuring, E., van Imhoff, G. W., Kluin-Nelemans, H. C., Boerma, E.-J., & Kluin, P. M. (2011) · Blood · doi:10.1182/blood-2010-09-297879 · Cited by 678
Self-citationGenomic and personalized medicine: foundations and applications
Ginsburg, G. S., & Willard, H. F. (2009) · Translational Research · doi:10.1016/j.trsl.2009.09.005 · Cited by 637
Jaffe, E. S. (2009) · Hematology · doi:10.1182/asheducation-2009.1.523 · Cited by 632
Self-citation
Metadata
- Authors
- Dave, S. S., Fu, K., Wright, G. W., Lam, L. T., Kluin, P., Boerma, E.-J., Greiner, T. C., Weisenburger, D. D., Rosenwald, A., Ott, G., Müller-Hermelink, H.-K., Gascoyne, R. D., Delabie, J., Rimsza, L. M., Braziel, R. M., Grogan, T. M., Campo, E., Jaffe, E. S., Dave, B. J., Sanger, W., Bast, M., Vose, J. M., Armitage, J. O., Connors, J. M., Smeland, E. B., Kvaloy, S., Holte, H., Fisher, R. I., Miller, T. P., Montserrat, E., Wilson, W. H., Bahl, M., Zhao, H., Yang, L., Powell, J., Simon, R., Chan, W. C., & Staudt, L. M.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2006-06-08
- Volume
- 354
- Issue
- 23
- Pages
- 2431-2442
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W1995314727
- Cited by
- 897
- References
- 2
- FWCI
- 43.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Molecular Diagnosis of Burkitt's Lymphoma. https://app.cochat.ai/papers/10.1056/nejmoa055759
- The paper
- Dave, S. S., Fu, K., Wright, G. W., Lam, L. T., Kluin, P., Boerma, E.-J., Greiner, T. C., Weisenburger, D. D., Rosenwald, A., Ott, G., Müller-Hermelink, H.-K., Gascoyne, R. D., Delabie, J., Rimsza, L. M., Braziel, R. M., Grogan, T. M., Campo, E., Jaffe, E. S., Dave, B. J., . . . Staudt, L. M. (2006). Molecular Diagnosis of Burkitt's Lymphoma. New England Journal of Medicine. https://doi.org/10.1056/nejmoa055759
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.