The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
CAL-101, a p110δ selective phosphatidylinositol-3-kinase inhibitor for the treatment of B-cell malignancies, inhibits PI3K signaling and cellular viability
Open accessAbstract
Phosphatidylinositol-3-kinase p110δ serves as a central integration point for signaling from cell surface receptors known to promote malignant B-cell proliferation and survival. This provides a rationale for the development of small molecule inhibitors that selectively target p110δ as a treatment approach for patients with B-cell malignancies. We thus identified 5-fluoro-3-phenyl-2-[(S)-1-(9H-purin-6-ylamino)-propyl]-3H-quinazolin-4-one (CAL-101), a highly selective and potent p110δ small molecule inhibitor (half-maximal effective concentration [EC50] = 8nM). Using tumor cell lines and primary patient samples representing multiple B-cell malignancies, we have demonstrated that constitutive phosphatidylinositol-3-kinase pathway activation is p110δ-dependent. CAL-101 blocked constitutive phosphatidylinositol-3-kinase signaling, resulting in decreased phosphorylation of Akt and other downstream effectors, an increase in poly(ADP-ribose) polymerase and caspase cleavage and an induction of apoptosis. These effects have been observed across a broad range of immature and mature B-cell malignancies, thereby providing a rationale for the ongoing clinical evaluation of CAL-101.
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
Targeting PI3K signalling in cancer: opportunities, challenges and limitations
Engelman, J. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2664 · Cited by 2,445
Cited by
Targeting BTK with Ibrutinib in Relapsed Chronic Lymphocytic Leukemia
Byrd, J. C., Furman, R. R., Coutre, S. E., Flinn, I. W., Burger, J. A., Blum, K. A., Grant, B., Sharman, J. P., Coleman, M., Wierda, W. G., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1215637 · Cited by 2,270
Self-citationTargeting the PI3K/AKT/mTOR pathway in triple-negative breast cancer: a review
Costa, R. L. B., Han, H. S., & Gradishar, W. J. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4697-y · Cited by 439
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
B cell receptor signaling in chronic lymphocytic leukemia
Burger, J. A., & Chiorazzi, N. (2013) · Trends in Immunology · doi:10.1016/j.it.2013.07.002 · Cited by 327
Structural Basis for Activation and Inhibition of Class I Phosphoinositide 3-Kinases
Vadas, O., Burke, J. E., Zhang, X., Berndt, A., & Williams, R. L. (2011) · Science Signaling · doi:10.1126/scisignal.2002165 · Cited by 299
Structural Basis for Regulation of Phosphoinositide Kinases and Their Involvement in Human Disease
Burke, J. E. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.005 · Cited by 276
Chiron, D., Di Liberto, M., Martin, P., Huang, X., Sharman, J., Blecua, P., Mathew, S., Vijay, P., Eng, K., Ali, S., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0098 · Cited by 273
Self-citationManagement of adverse events associated with idelalisib treatment: expert panel opinion
Coutré, S. E., Barrientos, J. C., Brown, J. R., de Vos, S., Furman, R. R., Keating, M. J., Li, D., O’Brien, S. M., Pagel, J. M., Poleski, M. H., et al. (2015) · Leukemia & Lymphoma · doi:10.3109/10428194.2015.1022770 · Cited by 273
Leukaemia hijacks a neural mechanism to invade the central nervous system.
Yao, H., Price, T. T., Cantelli, G., Ngo, B., Warner, M. J., Olivere, L., Ridge, S. M., Jablonski, E. M., Therrien, J., Tannheimer, S., et al. (2018) · Nature · doi:10.1038/s41586-018-0342-5 · Cited by 264
Zhang, L., Yao, Y., Zhang, S., Liu, Y., Guo, H., Ahmed, M., Bell, T., Zhang, H., Han, G., Lorence, E., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau1167 · Cited by 233
Paul, J., Soujon, M., Wengner, A. M., Zitzmann-Kolbe, S., Sturz, A., Haike, K., Keng Magdalene, K. H., Tan, S. H., Lange, M., Tan, S. Y., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2016.12.003 · Cited by 146
Targeting signaling pathways in multiple myeloma: Pathogenesis and implication for treatments
Hu, J., & Hu, W.-X. (2018) · Cancer Letters · doi:10.1016/j.canlet.2017.11.020 · Cited by 84
Chiron, D., Martin, P., Di Liberto, M., Huang, X., Ely, S., Lannutti, B. J., Leonard, J. P., Mason, C. E., & Chen-Kiang, S. (2013) · Cell Cycle · doi:10.4161/cc.24928 · Cited by 71
Self-citationYuzugullu, H., Baitsch, L., Von, T., Steiner, A., Tong, H., Ni, J., Clayton, L. K., Bronson, R., Roberts, T. M., Gritsman, K., et al. (2015) · Nature Communications · doi:10.1038/ncomms9501 · Cited by 47
Serrat, N., Guerrero-Hernández, M., Matas-Céspedes, A., Yahiaoui, A., Valero, J. G., Nadeu, F., Clot, G., Di Re, M., Corbera-Bellalta, M., Magnano, L., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2020001584 · Cited by 32
Warner, J. L., & Arnason, J. E. (2012) · Therapeutic Advances in Hematology · doi:10.1177/2040620712458949 · Cited by 31
Metadata
- Authors
- Lannutti, B. J., Meadows, S. A., Herman, S. E. M., Kashishian, A., Steiner, B., Johnson, A. J., Byrd, J. C., Tyner, J. W., Loriaux, M. M., Deininger, M., Druker, B. J., Puri, K. D., Ulrich, R. G., & Giese, N. A.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2011-01-13
- Volume
- 117
- Issue
- 2
- Pages
- 591-594
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2027971058
- Cited by
- 720
- References
- 1
- FWCI
- 22.09
- 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
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.