The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Stereotyped B-cell receptors in one-third of chronic lymphocytic leukemia: a molecular classification with implications for targeted therapies
Open accessAbstract
Mounting evidence indicates that grouping of chronic lymphocytic leukemia (CLL) into distinct subsets with stereotyped BCRs is functionally and prognostically relevant. However, several issues need revisiting, including the criteria for identification of BCR stereotypy and its actual frequency as well as the identification of “CLL-biased” features in BCR Ig stereotypes. To this end, we examined 7596 Ig VH (IGHV-IGHD-IGHJ) sequences from 7424 CLL patients, 3 times the size of the largest published series, with an updated version of our purpose-built clustering algorithm. We document that CLL may be subdivided into 2 distinct categories: one with stereotyped and the other with nonstereotyped BCRs, at an approximate ratio of 1:2, and provide evidence suggesting a different ontogeny for these 2 categories. We also show that subset-defining sequence patterns in CLL differ from those underlying BCR stereotypy in other B-cell malignancies. Notably, 19 major subsets contained from 20 to 213 sequences each, collectively accounting for 943 sequences or one-eighth of the cohort. Hence, this compartmentalized examination of VH sequences may pave the way toward a molecular classification of CLL with implications for targeted therapeutic interventions, applicable to a significant number of patients assigned to the same subset.
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
Hallek, M., Cheson, B. D., Catovsky, D., Caligaris-Cappio, F., Dighiero, G., Döhner, H., Hillmen, P., Keating, M. J., Montserrat, E., Rai, K. R., et al. (2008) · Blood · doi:10.1182/blood-2007-06-093906 · Cited by 3,787
van Dongen, J. J. M., Langerak, A. W., Brüggemann, M., Evans, P. A. S., Hummel, M., Lavender, F. L., Delabesse, E., Davi, F., Schuuring, E., García-Sanz, R., et al. (2003) · Leukemia · doi:10.1038/sj.leu.2403202 · Cited by 3,043
Self-citationUnmutated Ig VH Genes Are Associated With a More Aggressive Form of Chronic Lymphocytic Leukemia
Hamblin, T. J., Davis, Z., Gardiner, A., Oscier, D. G., & Stevenson, F. K. (1999) · Blood · doi:10.1182/blood.v94.6.1848 · Cited by 2,783
Self-citationDamle, R. N., Wasil, T., Fais, F., Ghiotto, F., Valetto, A., Allen, S. L., Buchbinder, A., Budman, D., Dittmar, K., Kolitz, J., et al. (1999) · Blood · doi:10.1182/blood.v94.6.1840 · Cited by 2,642
Self-citationChiorazzi, N., Rai, K. R., & Ferrarini, M. (2005) · New England Journal of Medicine · doi:10.1056/nejmra041720 · Cited by 1,296
Self-citationBrochet, X., Lefranc, M.-P., & Giudicelli, V. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn316 · Cited by 1,216
Self-citationSequence and Structural Convergence of Broad and Potent HIV Antibodies That Mimic CD4 Binding
Scheid, J. F., Mouquet, H., Ueberheide, B., Diskin, R., Klein, F., Oliveira, T. Y. K., Pietzsch, J., Fenyo, D., Abadir, A., Velinzon, K., et al. (2011) · Science · doi:10.1126/science.1207227 · Cited by 1,139
IMGT(R), the international ImMunoGeneTics information system(R)
Lefranc, M.-P., Giudicelli, V., Ginestoux, C., Jabado-Michaloud, J., Folch, G., Bellahcene, F., Wu, Y., Gemrot, E., Brochet, X., Lane, J., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn838 · Cited by 1,119
Self-citationFais, F., Ghiotto, F., Hashimoto, S., Sellars, B., Valetto, A., Allen, S. L., Schulman, P., Vinciguerra, V. P., Rai, K., Rassenti, L. Z., et al. (1998) · Journal of Clinical Investigation · doi:10.1172/jci3009 · Cited by 872
Self-citationLefranc, M.-P., Pommié, C., Ruiz, M., Giudicelli, V., Foulquier, E., Truong, L., Thouvenin-Contet, V., & Lefranc, G. (2003) · Developmental & Comparative Immunology · doi:10.1016/s0145-305x(02)00039-3 · Cited by 818
Self-citation
Cited by
Role of Bruton’s tyrosine kinase in B cells and malignancies
Pal Singh, S., Dammeijer, F., & Hendriks, R. W. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0779-z · Cited by 726
Kipps, T. J., Stevenson, F. K., Wu, C. J., Croce, C. M., Packham, G., Wierda, W. G., O'Brien, S., Gribben, J., & Rai, K. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.96 · Cited by 517
Targeting B cell receptor signalling in cancer: preclinical and clinical advances
Burger, J. A., & Wiestner, A. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.121 · Cited by 431
Targeting pathological B cell receptor signalling in lymphoid malignancies
Young, R. M., & Staudt, L. M. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd3937 · Cited by 401
Navarro, A., Clot, G., Royo, C., Jares, P., Hadzidimitriou, A., Agathangelidis, A., Bikos, V., Darzentas, N., Papadaki, T., Salaverria, I., et al. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-1615 · Cited by 256
Self-citation
Metadata
- Authors
- Agathangelidis, A., Darzentas, N., Hadzidimitriou, A., Brochet, X., Murray, F., Yan, X.-J., Davis, Z., van Gastel-Mol, E. J., Tresoldi, C., Chu, C. C., Cahill, N., Giudicelli, V., Tichy, B., Pedersen, L. B., Foroni, L., Bonello, L., Janus, A., Smedby, K., Anagnostopoulos, A., Merle-Beral, H., Laoutaris, N., Juliusson, G., di Celle, P. F., Pospisilova, S., Jurlander, J., Geisler, C., Tsaftaris, A., Lefranc, M.-P., Langerak, A. W., Oscier, D. G., Chiorazzi, N., Belessi, C., Davi, F., Rosenquist, R., Ghia, P., & Stamatopoulos, K.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2012-05-10
- Volume
- 119
- Issue
- 19
- Pages
- 4467-4475
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2070232733
- Cited by
- 393
- References
- 47
- FWCI
- 20.13
- 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: Stereotyped B-cell receptors in one-third of chronic lymphocytic leukemia: a molecular classification with implications for targeted therapies. https://app.cochat.ai/papers/10.1182/blood-2011-11-393694
- The paper
- Agathangelidis, A., Darzentas, N., Hadzidimitriou, A., Brochet, X., Murray, F., Yan, X.-J., Davis, Z., van Gastel-Mol, E. J., Tresoldi, C., Chu, C. C., Cahill, N., Giudicelli, V., Tichy, B., Pedersen, L. B., Foroni, L., Bonello, L., Janus, A., Smedby, K., Anagnostopoulos, A., . . . Stamatopoulos, K. (2012). Stereotyped B-cell receptors in one-third of chronic lymphocytic leukemia: a molecular classification with implications for targeted therapies. Blood. https://doi.org/10.1182/blood-2011-11-393694
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.
