The DOI matches its Crossref record; 173 of the 173 references it cites were found in a registry or an index.
Therapeutic Strategies for Targeting Ras Proteins
Open accessAbstract
Ras genes are frequently activated in cancer. Attempts to develop drugs that target mutant Ras proteins have, so far, been unsuccessful. Tumors bearing these mutations, therefore, remain among the most difficult to treat. Most efforts to block activated Ras have focused on pathways downstream. Drugs that inhibit Raf kinase have shown clinical benefit in the treatment of malignant melanoma. However, these drugs have failed to show clinical benefit in Ras mutant tumors. It remains unclear to what extent Ras depends on Raf kinase for transforming activity, even though Raf proteins bind directly to Ras and are certainly major effectors of Ras action in normal cells and in development. Furthermore, Raf kinase inhibitors can lead to paradoxical activation of the MAPK pathway. MEK inhibitors block the Ras-MAPK pathway, but often activate the PI3'-kinase, and have shown little clinical benefit as single agents. This activation is mediated by EGF-R and other receptor tyrosine kinases through relief of a negative feedback loop from ERK. Drug combinations that target multiple points within the Ras signaling network are likely to be necessary to achieve substantial clinical benefit. Other effectors may also contribute to Ras signaling and provide a source of targets. In addition, unbiased screens for genes necessary for Ras transformation have revealed new potential targets and have added to our understanding of Ras cancer biology.
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
Mutations of the BRAF gene in human cancer
Davies, H., Bignell, G. R., Cox, C., Stephens, P., Edkins, S., Clegg, S., Teague, J., Woffendin, H., Garnett, M. J., Bottomley, W., et al. (2002) · Nature · doi:10.1038/nature00766 · Cited by 10,674
Li, J., Yen, C., Liaw, D., Podsypanina, K., Bose, S., Wang, S. I., Puc, J., Miliaresis, C., Rodgers, L., McCombie, R., et al. (1997) · Science · doi:10.1126/science.275.5308.1943 · Cited by 4,785
Wilhelm, S. M., Carter, C., Tang, L., Wilkie, D., McNabola, A., Rong, H., Chen, C., Zhang, X., Vincent, P., McHugh, M., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-1443 · Cited by 4,017
Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
Barbie, D. A., Tamayo, P., Boehm, J. S., Kim, S. Y., Moody, S. E., Dunn, I. F., Schinzel, A. C., Sandy, P., Meylan, E., Scholl, C., et al. (2009) · Nature · doi:10.1038/nature08460 · Cited by 3,890
High Frequency of Mutations of the PIK3CA Gene in Human Cancers
Samuels, Y., Wang, Z., Bardelli, A., Silliman, N., Ptak, J., Szabo, S., Yan, H., Gazdar, A., Powell, S. M., Riggins, G. J., et al. (2004) · Science · doi:10.1126/science.1096502 · Cited by 3,437
The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism
Engelman, J. A., Luo, J., & Cantley, L. C. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1879 · Cited by 3,330
Targeting RAS signalling pathways in cancer therapy
Downward, J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc969 · Cited by 3,256
Maehama, T., & Dixon, J. E. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.22.13375 · Cited by 3,104
Inhibition of Mutated, Activated BRAF in Metastatic Melanoma
Flaherty, K. T., Puzanov, I., Kim, K. B., Ribas, A., McArthur, G. A., Sosman, J. A., O'Dwyer, P. J., Lee, R. J., Grippo, J. F., Nolop, K., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1002011 · Cited by 3,103
Steck, P. A., Pershouse, M. A., Jasser, S. A., Yung, W. K. A., Lin, H., Ligon, A. H., Langford, L. A., Baumgard, M. L., Hattier, T., Davis, T., et al. (1997) · Nature Genetics · doi:10.1038/ng0497-356 · Cited by 2,741
Cited by
Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancer
Kamerkar, S., LeBleu, V. S., Sugimoto, H., Yang, S., Ruivo, C. F., Melo, S. A., Lee, J. J., & Kalluri, R. (2017) · Nature · doi:10.1038/nature22341 · Cited by 2,639
Oncogenic Kras maintains pancreatic tumors through regulation of anabolic glucose metabolism
Ying, H., Kimmelman, A. C., Lyssiotis, C. A., Hua, S., Chu, G. C., Fletcher-Sananikone, E., Locasale, J. W., Son, J., Zhang, H., Coloff, J. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.01.058 · Cited by 2,043
Targeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies
Bahar, M. E., Kim, H. J., & Kim, D. R. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01705-z · Cited by 888
Stephen, A. G., Esposito, D., Bagni, R. K., & McCormick, F. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.02.017 · Cited by 795
Self-citationBiochemical and Structural Analysis of Common Cancer-Associated KRAS Mutations
Hunter, J. C., Manandhar, A., Carrasco, M. A., Gurbani, D., Gondi, S., & Westover, K. D. (2015) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-15-0203 · Cited by 786
“GAP-stimulated KRAS-mutant GTPase activity Mutations in codons 12 and 13 dampen RAS responses to GAPs, such as P120GAP and NF1, resulting in slower rates of stimulatedGTP hydrolysis (27, 52).”
Background
Metadata
- Authors
- Gysin, S., Salt, M., Young, A., & McCormick, F.
- Venue
- Genes & Cancer
- Publisher
- SAGE Publications
- Published
- 2011-03-01
- Volume
- 2
- Issue
- 3
- Pages
- 359-372
- ISSN
- 1947-6019 (ISSN-L)
- 1947-6027
- OpenAlex
- W2109031404
- Cited by
- 323
- References
- 173
- FWCI
- 9.99
- 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: Therapeutic Strategies for Targeting Ras Proteins. https://app.cochat.ai/papers/10.1177/1947601911412376
- The paper
- Gysin, S., Salt, M., Young, A., & McCormick, F. (2011). Therapeutic Strategies for Targeting Ras Proteins. Genes & Cancer. https://doi.org/10.1177/1947601911412376
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.