The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
The Expression Patterns of ER, PR, HER2, CK5/6, EGFR, Ki-67 and AR by Immunohistochemical Analysis in Breast Cancer Cell Lines
Open accessAbstract
The molecular classification for breast carcinomas has been used in clinical studies with a simple surrogate panel of immunohistochemistry (IHC) markers. The objective of this current project was to study the molecular classification of commonly used breast cancer cell lines by IHC analysis. Seventeen breast cancer cell lines were harvested, fixed in formalin and made into cell blocks. IHC analyses were performed on each cell block with antibodies to estrogen receptor (ER), progesterone receptor (PR), HER2, EGFR, CK5/6, Ki-67 and androgen receptor (AR). Among the 17 cell lines, MCF-7 and ZR-75-1 fell to Luminal A subtype; BT-474 to Luminal B subtype; SKBR-3, MDA-MD-435 and AU 565 to HER2 over-expression subtype; MDA-MB-231, MCF-12A, HBL 101, HS 598 T, MCF-10A, MCF-10F, BT-20, 468 and BT-483 to basal subtype. MDA-MB-453 belonged to Unclassified subtype. Since each subtype defined by this IHC-based molecular classification does show a distinct clinical outcome, attention should be paid when choosing a cell line for any study.
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
Molecular portraits of human breast tumours
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., Pollack, J. R., Ross, D. T., Johnsen, H., Akslen, L. A., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,261
Sørlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., Hastie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 10,938
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., van 't Veer, L. J., Dai, H., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,488
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Paik, S., Shak, S., Tang, G., Kim, C., Baker, J., Cronin, M., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,277
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R., Parker, J., Hastie, T., Marron, J. S., Nobel, A., Deng, S., Johnsen, H., Pesich, R., Geisler, S., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,429
Wolff, A. C., Hammond, M. E. H., Schwartz, J. N., Hagerty, K. L., Allred, D. C., Cote, R. J., Dowsett, M., Fitzgibbons, P. L., Hanna, W. M., Langer, A., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.2775 · Cited by 4,434
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L. A., Perou, C. M., Livasy, C. A., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,819
Nielsen, T. O., Hsu, F. D., Jensen, K., Cheang, M., Karaca, G., Hu, Z., Hernandez-Boussard, T., Livasy, C., Cowan, D., Dressler, L., et al. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-0220 · Cited by 2,663
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer
Cheang, M. C. U., Chia, S. K., Voduc, D., Gao, D., Leung, S., Snider, J., Watson, M., Davies, S., Bernard, P. S., Parker, J. S., et al. (2009) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djp082 · Cited by 2,249
Research works printed but not linked: 8
- Sorlie T., 2007, Methods Mol Biol., 360, 91
- 10.1200/JCO.2008.20.6276 · doi:10.1200/jco.2008.20.6276
- 10.3322/caac.20029 · doi:10.3322/caac.20029
- Peng J., 2010, Int J Oncol., 36, 451
- 10.1080/10520290410001715237 · doi:10.1080/10520290410001715237
- 10.1186/1471-2407-8-343 · doi:10.1186/1471-2407-8-343
- 10.1007/s00259-007-0713-x · doi:10.1007/s00259-007-0713-x
- 10.1158/1078-0432.CCR-06-0635 · doi:10.1158/1078-0432.ccr-06-0635
Cited by
mRNA Delivery for Therapeutic Anti-HER2 Antibody Expression In Vivo
Rybakova, Y., Kowalski, P. S., Huang, Y., Gonzalez, J. T., Heartlein, M. W., DeRosa, F., Delcassian, D., & Anderson, D. G. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.05.012 · Cited by 218
Indocyanine Green J Aggregates in Polymersomes for Near-Infrared Photoacoustic Imaging
Changalvaie, B., Han, S., Moaseri, E., Scaletti, F., Truong, L., Caplan, R., Cao, A., Bouchard, R., Truskett, T. M., Sokolov, K. V., et al. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b14519 · Cited by 93
Yamaguchi, H., Hayama, K., Sasagawa, I., Okada, Y., Kawase, T., Tsubokawa, N., & Tsuchimochi, M. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030908 · Cited by 30
Metadata
- Authors
- Subik, K., Lee, J.-F., Baxter, L., Strzepek, T., Costello, D., Crowley, P., Xing, L., Hung, M.-C., Bonfiglio, T., Hicks, D. G., & Tang, P.
- Venue
- Breast Cancer: Basic and Clinical Research
- Publisher
- SAGE Publications
- Published
- 2010-01
- Volume
- 4
- Pages
- 117822341000400
- ISSN
- 1178-2234 (ISSN-L)
- OpenAlex
- W4238991694
- Cited by
- 573
- References
- 33
- FWCI
- 3.16
- Type
- journal article
- Language
- en
- Update notices
- correction (2018-10-16)
- Open access
- gold
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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: The Expression Patterns of ER, PR, HER2, CK5/6, EGFR, Ki-67 and AR by Immunohistochemical Analysis in Breast Cancer Cell Lines. https://app.cochat.ai/papers/10.1177/117822341000400004
- The paper
- Subik, K., Lee, J.-F., Baxter, L., Strzepek, T., Costello, D., Crowley, P., Xing, L., Hung, M.-C., Bonfiglio, T., Hicks, D. G., & Tang, P. (2010). The Expression Patterns of ER, PR, HER2, CK5/6, EGFR, Ki-67 and AR by Immunohistochemical Analysis in Breast Cancer Cell Lines. Breast Cancer: Basic and Clinical Research. https://doi.org/10.1177/117822341000400004
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.
