The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Role of epidermal growth factor receptor in breast cancer
Open accessAbstract
Decades of research in molecular oncology have brought about promising new therapies which are designed to target specific molecules which promote tumor growth and survival. The epidermal growth factor receptor (EGFR) is one of the first identified important targets of these novel antitumor agents. Approximately half of cases of triple-negative breast cancer (TNBC) and inflammatory breast cancer (IBC) overexpress EGFR. Thus, EGFR inhibitors for treatment of breast cancer have been evaluated in several studies. However, results so far have been disappointing. One of the reasons for these unexpected results is the lack of biomarkers for predicting which patients are most likely to respond to EGFR inhibitors. Recent studies have shown that EGFR and its downstream pathway regulate epithelial-mesenchymal transition, migration, and tumor invasion and that high EGFR expression is an independent predictor of poor prognosis in IBC. Further, recent studies have shown that targeting EGFR enhances the chemosensitivity of TNBC cells by rewiring apoptotic signaling networks in TNBC. These studies indicate that EGFR-targeted therapy might have a promising role in TNBC and IBC. Further studies of the role of EGFR in TNBC and IBC are needed to better understand the best way to use EGFR-targeted therapy—e.g., as a chemosensitizer or to prevent metastases—to treat these aggressive diseases.
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
Triple-negative breast cancer: clinical features and patterns of recurrence
Dent, R., Trudeau, M., Pritchard, K. I., Hanna, W. M., Kahn, H. K., Sawka, C. A., Lickley, L. A., Rawlinson, E., Sun, P., & Narod, S. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3045 · Cited by 5,091
Moroni, M., Veronese, S., Benvenuti, S., Marrapese, G., Sartore-Bianchi, A., Di Nicolantonio, F., Gambacorta, M., Siena, S., & Bardelli, A. (2005) · The Lancet Oncology · doi:10.1016/s1470-2045(05)70102-9 · Cited by 941
Phosphotyrosine interactome of the ErbB‐receptor kinase family
Schulze, W. X., Deng, L., & Mann, M. (2005) · Molecular Systems Biology · doi:10.1038/msb4100012 · Cited by 753
Yap, T. A., Vidal, L., Adam, J., Stephens, P., Spicer, J., Shaw, H., Ang, J., Temple, G., Bell, S., Shahidi, M., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.26.7278 · Cited by 349
Cited by
Mesenchymal stem cell secretome: toward cell-free therapeutic strategies in regenerative medicine
Vizoso, F., Eiro, N., Cid, S., Schneider, J., & Perez-Fernandez, R. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18091852 · Cited by 1,363
The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer
Hsu, J. L., & Hung, M.-C. (2016) · Cancer and Metastasis Reviews · doi:10.1007/s10555-016-9649-6 · Cited by 445
Emerging Therapeutic Strategies to Overcome Drug Resistance in Cancer Cells
Garg, P., Malhotra, J., Kulkarni, P., Horne, D., Salgia, R., & Singhal, S. S. (2024) · Cancers · doi:10.3390/cancers16132478 · Cited by 339
Lewis, J. M., Vyas, A. D., Qiu, Y., Messer, K. S., White, R., & Heller, M. J. (2018) · ACS Nano · doi:10.1021/acsnano.7b08199 · Cited by 283
The hypoxic tumor microenvironment in vivo selects the cancer stem cell fate of breast cancer cells
Kim, H., Lin, Q., Glazer, P. M., & Yun, Z. (2018) · Breast Cancer Research · doi:10.1186/s13058-018-0944-8 · Cited by 122
Metadata
- Authors
- Masuda, H., Zhang, D., Bartholomeusz, C., Doihara, H., Hortobagyi, G. N., & Ueno, N. T.
- Venue
- Breast Cancer Research and Treatment
- Published
- 2012-10-17
- Volume
- 136
- Issue
- 2
- Pages
- 331-345
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W1988055795
- Cited by
- 806
- References
- 6
- FWCI
- 10.79
- 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: Role of epidermal growth factor receptor in breast cancer. https://app.cochat.ai/papers/10.1007/s10549-012-2289-9
- The paper
- Masuda, H., Zhang, D., Bartholomeusz, C., Doihara, H., Hortobagyi, G. N., & Ueno, N. T. (2012). Role of epidermal growth factor receptor in breast cancer. Breast Cancer Research and Treatment. https://doi.org/10.1007/s10549-012-2289-9
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.
