The DOI matches its Crossref record.
Mouse Models to Decipher the PI3K Signaling Network in Human Cancer
Abstract
Deregulation of the PI3K pathway is common in human cancer. The basic players in this pathway are the kinases PI3K and AKT and the phosphatase PTEN. This review will summarize some of the key animal models that have helped us understand this signaling network and its contribution to tumorigenesis. Recently, great advances in cancer mouse models have been achieved [1]. While germline deletion often affects the development of the organism and can result in embryonic lethality, conditional knockout mouse models offer the possibility of inducing gene deletion in the adult organism. Another useful strategy involves the inactivation of enzyme function by introducing small mutations in the gene sequence, thereby maintaining the protein in an inactivated state and mimicking protein inhibition with drugs. Combining tissue-specific expression of PI3K and AKT with a secondary oncogenic event, for example, leads to the development of specific tumors. Such models are more accurate for growth studies of human tumors than those involving xenograft tumors, due to the interconnection of the tumors with blood vessels. These studies will improve the pharmacological analysis of drug candidates. With the discovery of oncogenic mutations in members of the PI3K pathway, mouse lines harboring these mutations are being developed in order to imitate the molecular features of a human tumor. Using these models for drug testing may enable more accurate prediction of the effects that a specific drug will…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“extremely low levels of IIS signaling are incompatible with life, as exemplified by mouse null mutations in the PI3K or AKT kinases that are embryonic lethal”
From The Hallmarks of Aging (2013) · cites this paper as Renner and Carnero, 2009
Citations
Cited by
Sorted by citations
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
Pten positively regulates brown adipose function, energy expenditure, and longevity
Ortega-Molina, A., Efeyan, A., Lopez-Guadamillas, E., Muñoz-Martin, M., Gómez-López, G., Cañamero, M., Mulero, F., Pastor, J., Martinez, S., Romanos, E., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.02.001 · Cited by 356
Metadata
- Authors
- Renner, O., & Carnero, A.
- Venue
- Current Molecular Medicine
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2009-06-01
- Volume
- 9
- Issue
- 5
- Pages
- 612-625
- ISSN
- 1566-5240
- Cited by
- 21
- References
- 0
- Language
- en
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: Mouse Models to Decipher the PI3K Signaling Network in Human Cancer. https://app.cochat.ai/papers/10.2174/156652409788488766
- The paper
- Renner, O., & Carnero, A. (2009). Mouse Models to Decipher the PI3K Signaling Network in Human Cancer. Current Molecular Medicine. https://doi.org/10.2174/156652409788488766