The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
BIM Mediates EGFR Tyrosine Kinase Inhibitor-Induced Apoptosis in Lung Cancers with Oncogenic EGFR Mutations
Open accessAbstract
BACKGROUND: Epidermal growth factor receptor (EGFR) mutations are present in the majority of patients with non-small cell lung cancer (NSCLC) responsive to the EGFR tyrosine kinase inhibitors (TKIs) gefitinib or erlotinib. These EGFR-dependent tumors eventually become TKI resistant, and the common secondary T790M mutation accounts for half the tumors with acquired resistance to gefitinib. However, the key proapoptotic proteins involved in TKI-induced cell death and other secondary mutations involved in resistance remain unclear. The objective of this study was to identify the mechanism of EGFR TKI-induced apoptosis and secondary resistant mutations that affect this process. METHODS AND FINDINGS: To study TKI-induced cell death and mechanisms of resistance, we used lung cancer cell lines (with or without EGFR mutations), Ba/F3 cells stably transfected with EGFR mutation constructs, and tumor samples from a gefitinib-resistant patient. Here we show that up-regulation of the BH3-only polypeptide BIM (also known as BCL2-like 11) correlated with gefitinib-induced apoptosis in gefitinib-sensitive EGFR-mutant lung cancer cells. The T790M mutation blocked gefitinib-induced up-regulation of BIM and apoptosis. This blockade was overcome by the irreversible TKI CL-387,785. Knockdown of BIM by small interfering RNA was able to attenuate apoptosis induced by EGFR TKIs. Furthermore, from a gefitinib-resistant patient carrying the activating L858R mutation, we identified a novel secondary resistant mutation, L747S in cis to the activating mutation, which attenuated the up-regulation of BIM and reduced apoptosis. CONCLUSIONS: Our results provide evidence that BIM is involved in TKI-induced apoptosis in sensitive EGFR-mutant cells and that both attenuation of the up-regulation of BIM and resistance to gefitinib-induced apoptosis are seen in models that contain the common EGFR T790M and the novel L747S secondary resistance mutations. These findings also suggest that induction of BIM may have a role in the treatment of TKI-resistant tumors.
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
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
Self-citationMET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signaling
Engelman, J. A., Zejnullahu, K., Mitsudomi, T., Song, Y., Hyland, C., Park, J. O., Lindeman, N., Gale, C.-M., Zhao, X., Christensen, J., et al. (2007) · Science · doi:10.1126/science.1141478 · Cited by 4,496
Efficacy and safety of imatinib mesylate in advanced gastrointestinal stromal tumors
Demetri, G. D., von Mehren, M., Blanke, C. D., Van den Abbeele, A. D., Eisenberg, B., Roberts, P. J., Heinrich, M. C., Tuveson, D. A., Singer, S., Janicek, M., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa020461 · Cited by 4,389
Pao, W., Miller, V. A., Politi, K. A., Riely, G. J., Somwar, R., Zakowski, M. F., Kris, M. G., & Varmus, H. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020073 · Cited by 3,527 · cited 4×
“If an increase in BIM expression is important for gefitinibinduced apoptosis, it should be suppressed upon treatment of cell lines expressing the resistant T790M EGFR mutation [16,17] with gefitinib.”
BackgroundInfluentialClinical Resistance to STI-571 Cancer Therapy Caused by BCR-ABL Gene Mutation or Amplification
Gorre, M. E., Mohammed, M., Ellwood, K., Hsu, N., Paquette, R., Rao, P. N., & Sawyers, C. L. (2001) · Science · doi:10.1126/science.1062538 · Cited by 3,104
Dasatinib in imatinib-resistant Philadelphia chromosome-positive leukemias
Talpaz, M., Shah, N. P., Kantarjian, H., Donato, N., Nicoll, J., Paquette, R., Cortes, J., O'Brien, S., Nicaise, C., Bleickardt, E., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa055229 · Cited by 1,760
Yun, C.-H., Boggon, T. J., Li, Y., Woo, M. S., Greulich, H., Meyerson, M., & Eck, M. J. (2007) · Cancer Cell · doi:10.1016/j.ccr.2006.12.017 · Cited by 1,192 · cited 1×
“It is unclear from the current crystallographic data and from our molecular dynamics simulations how acquisition of this mutation results in resistance to ATP-competitive EGFR inhibitors; there may be differential effects on ATP and small molecule binding, as seen for L858R and G719S mutations [57] or a shift in the c…”
BackgroundSelf-citationIntragenic ERBB2 kinase mutations in tumours
Stephens, P., Hunter, C., Bignell, G., Edkins, S., Davies, H., Teague, J., Stevens, C., O'Meara, S., Smith, R., Parker, A., et al. (2004) · Nature · doi:10.1038/431525b · Cited by 802 · cited 1×
“Mutations in the analogous residue of ABL1 (L273M) and ErbB2 (L755S or P) (Figure 5C) have been described in patients with imatinib-resistant chronic myelogenous leukemia (CML) and solid tumors including gastric, breast, and lung cancers, respectively [35–37].”
BackgroundPoliti, K., Zakowski, M. F., Fan, P.-D., Schonfeld, E. A., Pao, W., & Varmus, H. E. (2006) · Genes & Development · doi:10.1101/gad.1417406 · Cited by 478 · cited 2×
“Two recent transgenic mouse models, in which the overexpression of EGFR mutations was targeted in type II pneumocytes, demonstrated that these mutations led to the development of adenocarcinomas and that the tumors responded both to suppression of the EGFR driving signal and EGFR TKIs [6,7].”
Background
Cited by
Cancer drug resistance: an evolving paradigm
Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681
Control of apoptosis by the BCL-2 protein family: implications for physiology and therapy
Czabotar, P. E., Lessene, G., Strasser, A., & Adams, J. M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3722 · Cited by 3,219
Targeting apoptosis in cancer therapy
Carneiro, B. A., & El-Deiry, W. S. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0341-y · Cited by 2,542
Yu, H. A., Arcila, M. E., Rekhtman, N., Sima, C. S., Zakowski, M. F., Pao, W., Kris, M. G., Miller, V. A., Ladanyi, M., & Riely, G. J. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-2246 · Cited by 2,454
Mechanisms of Acquired Crizotinib Resistance in ALK-Rearranged Lung Cancers
Katayama, R., Shaw, A. T., Khan, T. M., Mino-Kenudson, M., Solomon, B. J., Halmos, B., Jessop, N. A., Wain, J. C., Yeo, A. T., Benes, C., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003316 · Cited by 1,309
Self-citation
Metadata
- Authors
- Costa, D. B., Halmos, B., Kumar, A., Schumer, S. T., Huberman, M. S., Boggon, T. J., Tenen, D. G., & Kobayashi, S.
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-10-30
- Volume
- 4
- Issue
- 10
- Pages
- e315
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- OpenAlex
- W2102088611
- Cited by
- 499
- References
- 12
- FWCI
- 19.27
- Type
- journal article
- Language
- en
- Open access
- gold
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: BIM Mediates EGFR Tyrosine Kinase Inhibitor-Induced Apoptosis in Lung Cancers with Oncogenic EGFR Mutations. https://app.cochat.ai/papers/10.1371/journal.pmed.0040315
- The paper
- Costa, D. B., Halmos, B., Kumar, A., Schumer, S. T., Huberman, M. S., Boggon, T. J., Tenen, D. G., & Kobayashi, S. (2007). BIM Mediates EGFR Tyrosine Kinase Inhibitor-Induced Apoptosis in Lung Cancers with Oncogenic EGFR Mutations. PLoS Medicine. https://doi.org/10.1371/journal.pmed.0040315
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.
