The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
MUC1-C oncoprotein as a target in breast cancer: activation of signaling pathways and therapeutic approaches
Open accessAbstract
Mucin 1 (MUC1) is a heterodimeric protein formed by two subunits that is aberrantly overexpressed in human breast cancer and other cancers. Historically, much of the early work on MUC1 focused on the shed mucin subunit. However, more recent studies have been directed at the transmembrane MUC1-C-terminal subunit (MUC1-C) that functions as an oncoprotein. MUC1-C interacts with EGFR (epidermal growth factor receptor), ErbB2 and other receptor tyrosine kinases at the cell membrane and contributes to activation of the PI3KAKT and mitogen-activated protein kinase kinase (MEK)extracellular signal-regulated kinase (ERK) pathways. MUC1-C also localizes to the nucleus where it activates the Wnt/β-catenin, signal transducer and activator of transcription (STAT) and NF (nuclear factor)-κB RelA pathways. These findings and the demonstration that MUC1-C is a druggable target have provided the experimental basis for designing agents that block MUC1-C function. Notably, inhibitors of the MUC1-C subunit have been developed that directly block its oncogenic function and induce death of breast cancer cells in vitro and in xenograft models. On the basis of these findings, a first-in-class MUC1-C inhibitor has entered phase I evaluation as a potential agent for the treatment of patients with breast cancers who express this oncoprotein.
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
Wnt/β-Catenin Signaling: Components, Mechanisms, and Diseases
MacDonald, B. T., Tamai, K., & He, X. (2009) · Developmental Cell · doi:10.1016/j.devcel.2009.06.016 · Cited by 5,583
Shared Principles in NF-κB Signaling
Hayden, M. S., & Ghosh, S. (2008) · Cell · doi:10.1016/j.cell.2008.01.020 · Cited by 4,494
STATs in cancer inflammation and immunity: a leading role for STAT3
Yu, H., Pardoll, D., & Jove, R. (2009) · Nature reviews. Cancer · doi:10.1038/nrc2734 · Cited by 4,383
Targeting the phosphoinositide 3-kinase pathway in cancer
Liu, P., Cheng, H., Roberts, T. M., & Zhao, J. J. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2926 · Cited by 2,721
Targeting PI3K signalling in cancer: opportunities, challenges and limitations
Engelman, J. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2664 · Cited by 2,445
The STATs of cancer — new molecular targets come of age
Yu, H., & Jove, R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1275 · Cited by 2,278
Mucins in cancer: function, prognosis and therapy
Kufe, D. W. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2761 · Cited by 1,396
Self-citationSpecific protection against breast cancers by cyclin D1 ablation
Yu, Q., Geng, Y., & Sicinski, P. (2001) · Nature · doi:10.1038/35082500 · Cited by 934
The many ways of Wnt in cancer
Polakis, P. (2007) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2006.12.007 · Cited by 866
Gillett, C., Fantl, V., Smith, D., Fisher, C., Bartek, J. J., Dickson, C., Barnes, D. M., & Peters, G. (1994) · PubMed · Cited by 661
Cited by
STAT3 Target Genes Relevant to Human Cancers
Carpenter, R., & Lo, H.-W. (2014) · Cancers · doi:10.3390/cancers6020897 · Cited by 511
McLean, M. H., & El-Omar, E. M. (2014) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2014.143 · Cited by 395
Targeting cancer with mRNA–lipid nanoparticles: key considerations and future prospects
Kon, E., Ad-El, N., Hazan-Halevy, I., Stotsky-Oterin, L., & Peer, D. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00811-9 · Cited by 371
Personalized characterization of diseases using sample-specific networks
Liu, X., Wang, Y., Ji, H., Aihara, K., & Chen, L. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw772 · Cited by 317
Recent advancements in the genetic engineering of microalgae
Sproles, A. E., Fields, F. J., Smalley, T. N., Le, C. H., Badary, A., & Mayfield, S. P. (2021) · Algal Research · doi:10.1016/j.algal.2020.102158 · Cited by 228
Metadata
- Authors
- Kufe, D. W.
- Venue
- Oncogene
- Published
- 2012-05-14
- Volume
- 32
- Issue
- 9
- Pages
- 1073-1081
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2034451570
- Cited by
- 437
- References
- 90
- FWCI
- 8.60
- 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: MUC1-C oncoprotein as a target in breast cancer: activation of signaling pathways and therapeutic approaches. https://app.cochat.ai/papers/10.1038/onc.2012.158
- The paper
- Kufe, D. W. (2013). MUC1-C oncoprotein as a target in breast cancer: activation of signaling pathways and therapeutic approaches. Oncogene. https://doi.org/10.1038/onc.2012.158
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.