The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Critical Update and Emerging Trends in Epidermal Growth Factor Receptor Targeting in Cancer
Open accessAbstract
The epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase of the ErbB receptor family that is abnormally activated in many epithelial tumors. The aberrant activation of the EGFR leads to enhanced proliferation and other tumor-promoting activities, which provide a strong rationale to target this receptor family. There are two classes of anti-EGFR agents: monoclonal antibodies (MAbs) directed at the extracellular domain of the receptor and small molecule, adenosine triphosphate–competitive inhibitors of the receptor's tyrosine kinase. Anti-EGFR MAbs have shown antitumor activity in advanced colorectal carcinoma, squamous cell carcinomas of the head and neck, non–small-cell lung cancer (NSCLC) and renal cell carcinomas. The tyrosine kinase inhibitors (TKIs) have a partially different activity profile. They are active against NSCLC, and a specific EGFR inhibitor has shown improvement in survival. Recently, mutations and amplifications of the EGFR gene have been identified in NSCLC and predict for enhanced sensitivity to anti-EGFR TKIs. In addition to specific anti-EGFR TKIs, there are broader acting inhibitors such as dual EGFR HER-2 inhibitors and combined anti-pan-ErbB and antivascular endothelial growth factor receptor inhibitors. Current research efforts are directed at selecting the optimal dose and schedule and identifying predictive factors of response and resistance beyond EGFR gene mutations and/or amplifications. Finally, there is a need for improved strategies to integrate anti-EGFR agents with conventional therapies and to explore combinations with other molecular targeted approaches including other antireceptor therapies, receptor-downstream signaling transduction inhibitors, and targeted approaches interfering with other essential drivers of cancer, such as angiogenesis.
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
Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
Self-citationLynch, 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
Bevacizumab plus Irinotecan, Fluorouracil, and Leucovorin for Metastatic Colorectal Cancer
Hurwitz, H., Fehrenbacher, L., Novotny, W., Cartwright, T., Hainsworth, J., Heim, W., Berlin, J., Baron, A., Griffing, S., Holmgren, E., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032691 · Cited by 10,968
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
Cunningham, D., Humblet, Y., Siena, S., Khayat, D., Bleiberg, H., Santoro, A., Bets, D., Mueser, M., Harstrick, A., Verslype, C., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa033025 · Cited by 5,035
Kris, M. G., Natale, R. B., Herbst, R. S., Lynch, Jr., Prager, D., Belani, C. P., Schiller, J. H., Kelly, K., Spiridonidis, H., Sandler, A., et al. (2003) · JAMA · doi:10.1001/jama.290.16.2149 · Cited by 2,517
Phosphatidylinositol-3-OH kinase direct target of Ras
Rodriguez-Viciana, P., Warne, P. H., Dhand, R., Vanhaesebroeck, B., Gout, I., Fry, M. J., Waterfield, M. D., & Downward, J. (1994) · Nature · doi:10.1038/370527a0 · Cited by 1,954
Herbst, R. S., Prager, D., Hermann, R., Fehrenbacher, L., Johnson, B. E., Sandler, A., Kris, M. G., Tran, H. T., Klein, P., Li, X., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.02.840 · Cited by 1,490
Targeting ligand-activated ErbB2 signaling inhibits breast and prostate tumor growth
Agus, D. B., Akita, R. W., Fox, W. D., Lewis, G. D., Higgins, B., Pisacane, P. I., Lofgren, J. A., Tindell, C., Evans, D. P., Maiese, K., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00097-1 · Cited by 873
Intragenic 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 by
Targeting the Raf-MEK-ERK mitogen-activated protein kinase cascade for the treatment of cancer
Roberts, P. J., & Der, C. J. (2007) · Oncogene · doi:10.1038/sj.onc.1210422 · Cited by 2,788
Khambata-Ford, S., Garrett, C. R., Meropol, N. J., Basik, M., Harbison, C. T., Wu, S., Wong, T. W., Huang, X., Takimoto, C. H., Godwin, A. K., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.10.5437 · Cited by 1,125
Self-citationThe Epidermal Growth Factor Receptor Pathway: A Model for Targeted Therapy
Scaltriti, M., & Baselga, J. (2006) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-1554 · Cited by 913
Self-citationAl-Nedawi, K., Meehan, B., Kerbel, R. S., Allison, A. C., & Rak, J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804543106 · Cited by 668
Mechanisms of acquired resistance to cetuximab: role of HER (ErbB) family members
Wheeler, D. L., Huang, S., Kruser, T. J., Nechrebecki, M. M., Armstrong, E. A., Benavente, S., Gondi, V, Hsu, K.-T., & Harari, P. M. (2008) · Oncogene · doi:10.1038/onc.2008.19 · Cited by 550
Metadata
- Authors
- Baselga, J., & Arteaga, C. L.
- Venue
- Journal of Clinical Oncology
- Published
- 2005-04-10
- Volume
- 23
- Issue
- 11
- Pages
- 2445-2459
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2139819066
- Cited by
- 725
- References
- 11
- FWCI
- 40.84
- 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: Critical Update and Emerging Trends in Epidermal Growth Factor Receptor Targeting in Cancer. https://app.cochat.ai/papers/10.1200/jco.2005.11.890
- The paper
- Baselga, J., & Arteaga, C. L. (2005). Critical Update and Emerging Trends in Epidermal Growth Factor Receptor Targeting in Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.11.890
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.