The DOI matches its Crossref record.
Lapatinib: A novel EGFR/HER2 tyrosine kinase inhibitor for cancer
Abstract
Lapatinib is an oral dual tyrosine kinase inhibitor that targets epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor-2 (HER2), both frequently overexpressed in human cancer. Preclinical data have shown that lapatinib is a potent and selective inhibitor of the tyrosine kinase domain of EGFR and HER2, and tumor cells that overexpress these receptors are growth inhibited by lapatinib both in vitro and in vivo. Phase I clinical trials have shown that lapatinib is well tolerated, with mild diarrhea and rash the most frequent toxicities, and early evidence of clinical efficacy has been reported especially in HER2-positive breast cancer. Phase II studies have shown activity for lapatinib in trastuzumab-refractory breast cancer either alone or in combination with trastuzumab. When used as first-line monotherapy for advanced breast cancer, objective tumor responses have been seen in 28% of patients with untreated HER2-positive advanced breast cancer. An extensive phase III program in advanced breast cancer is now in progress both for refractory disease and as first-line therapy in combination with chemotherapy with and without trastuzumab, and with endocrine therapy. Phase II studies have also been conducted in a variety of other tumors, including renal cell cancer. Parallel biomarker studies are starting to elucidate predictive molecular phenotypes that may indicate likelihood of response to lapatinib, and these may direct future trials with this oral tyrosine kinase inhibitor.
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
Cited by
Wang, J., Sánchez-Roselló, M., Aceña, J. L., del Pozo, C., Sorochinsky, A. E., Fustero, S., Soloshonok, V. A., & Liu, H. (2014) · Chemical Reviews · doi:10.1021/cr4002879 · Cited by 4,847
Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents
Sharma, S. V., Haber, D. A., & Settleman, J. (2010) · Nature Reviews Cancer · doi:10.1038/nrc2820 · Cited by 586
Cancer stem cell markers in common cancers – therapeutic implications
Klonisch, T., Wiechec, E., Hombach-Klonisch, S., Ande, S. R., Wesselborg, S., Schulze-Osthoff, K., & Los, M. (2008) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2008.08.003 · Cited by 393
Dai, C.-L., Tiwari, A. K., Wu, C.-P., Su, X.-D., Wang, S.-R., Liu, D.-G., Ashby, C. R., Huang, Y., Robey, R. W., Liang, Y.-J., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-0499 · Cited by 386
Drug screening at single-organoid resolution via bioprinting and interferometry
Tebon, P. J., Wang, B., Markowitz, A. L., Davarifar, A., Krawczuk, P., Murray, G., Nguyen, H. T. L., Tavanaie, N., Nguyen, T. L., Boutros, P. C., et al. (2021) · doi:10.1101/2021.10.03.462896 · Cited by 155
Metadata
- Authors
- Johnston, S. R. D., & Leary, A.
- Venue
- Drugs of Today
- Publisher
- Portico
- Published
- 2006
- Volume
- 42
- Issue
- 7
- Pages
- 441
- ISSN
- 0025-7656 (ISSN-L)
- 1699-4019
- OpenAlex
- W2031672007
- Cited by
- 174
- References
- 0
- FWCI
- 6.98
- Type
- journal article
- Language
- en
- Open access
- closed
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: Lapatinib: A novel EGFR/HER2 tyrosine kinase inhibitor for cancer. https://app.cochat.ai/papers/10.1358/dot.2006.42.7.985637
- The paper
- Johnston, S. R. D., & Leary, A. (2006). Lapatinib: A novel EGFR/HER2 tyrosine kinase inhibitor for cancer. Drugs of Today. https://doi.org/10.1358/dot.2006.42.7.985637
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.