Cited by 727PI3K/AKT/mTOR signaling in cancerSignaling Pathways in DiseaseProtein Kinase Regulation and GTPase Signaling

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FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt

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Pei, Huadong, Li, Liang, Fridley, Brooke L., Jenkins, Gregory D., Kalari, Krishna R., Lingle, Wilma, Petersen, Gloria, Lou, Zhenkun, Wang, Liewei·2009·Cancer Cell

DOI 10.1016/j.ccr.2009.07.016PMC PMC2755578

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Abstract

Akt is a central regulator of cell growth. Its activity can be negatively regulated by the phosphatase PHLPP that specifically dephosphorylates the hydrophobic motif of Akt (Ser473 in Akt1). However, how PHLPP is targeted to Akt is not clear. Here we show that FKBP51 (FK506-binding protein 51) acts as a scaffolding protein for Akt and PHLPP and promotes dephosphorylation of Akt. Furthermore, FKBP51 is downregulated in pancreatic cancer tissue samples and several cancer cell lines. Decreased FKBP51 expression in cancer cells results in hyperphosphorylation of Akt and decreased cell death following genotoxic stress. Overall, our findings identify FKBP51 as a negative regulator of the Akt pathway, with potentially important implications for cancer etiology and response to chemotherapy.

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Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
AKT/PKB signaling: navigating downstream
Manning, B. D., & Cantley, L. C. (2007) · Cell · doi:10.1016/j.cell.2007.06.009 · Cited by 6,115
Akt phosphorylation of BAD couples survival signals to the cell-intrinsic death machinery
Datta, S. R., Dudek, H., Tao, X., Masters, S., Fu, H., Gotoh, Y., & Greenberg, M. E. (1997) · Cell · doi:10.1016/s0092-8674(00)80405-5 · Cited by 5,689
Akt Promotes Cell Survival by Phosphorylating and Inhibiting a Forkhead Transcription Factor
Brunet, A., Bonni, A., Zigmond, M. J., Lin, M. Z., Juo, P., Hu, L. S., Anderson, M. J., Arden, K. C., Blenis, J., & Greenberg, M. E. (1999) · Cell · doi:10.1016/s0092-8674(00)80595-4 · Cited by 5,594
Inhibition of glycogen synthase kinase-3 by insulin mediated by protein kinase B
Cross, D. A. E., Alessi, D. R., Cohen, P., Andjelkovich, M., & Hemmings, B. A. (1995) · Nature · doi:10.1038/378785a0 · Cited by 5,244
Mechanism of activation of protein kinase B by insulin and IGF‐1.
Alessi, D. R., Andjelković, M., Caudwell, B., Cron, P. D., MORRICE, N. A., Cohen, P., & Hemmings, B. A. (1996) · The EMBO Journal · doi:10.1002/j.1460-2075.1996.tb01045.x · Cited by 3,014
Characterization of a 3-phosphoinositide-dependent protein kinase which phosphorylates and activates protein kinase Bα
Alessi, D. R., James, S. R., Downes, C. P., Holmes, A. B., Gaffney, P. R. J., Reese, C. B., & Cohen, P. (1997) · Current Biology · doi:10.1016/s0960-9822(06)00122-9 · Cited by 2,874
Interleukin-3-Induced Phosphorylation of BAD Through the Protein Kinase Akt
Peso, L. D., González-Garcı́a, M., Page, C., Herrera, R., & Nuñez, G. (1997) · Science · doi:10.1126/science.278.5338.687 · Cited by 1,797
A receptor for the immuno-suppressant FK506 is a cis–trans peptidyl-prolyl isomerase
Harding, M. W., Gałat, A., Uehling, D., & Schreiber, S. L. (1989) · Nature · doi:10.1038/341758a0 · Cited by 1,396
A phosphatidylinositol 3-kinase/Akt pathway promotes translocation of Mdm2 from the cytoplasm to the nucleus
Mayo, L. D., & Donner, D. B. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.181181198 · Cited by 1,230

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Authors: Pei, H., Li, L., Fridley, B. L., Jenkins, G. D., Kalari, K. R., Lingle, W., Petersen, G., Lou, Z., & Wang, L.
Affiliations: Mayo Clinic (US)
Corresponding author: Lou, Zhenkun
Wang, Liewei
ORCID: Pei, Huadong
Li, Liang
Fridley, Brooke L.
Jenkins, Gregory D.
Kalari, Krishna R.
Petersen, Gloria
Lou, Zhenkun
Wang, Liewei
Venue: Cancer Cell
Publisher: Elsevier BV
Published: 2009-09
Volume: 16
Issue: 3
Pages: 259-266
ISSN: 1535-6108 (ISSN-L)
DOI: 10.1016/j.ccr.2009.07.016
PMC: PMC2755578
OpenAlex: W1996667997
Cited by: 709
References: 27
Citations by year: 2026: 23 · 2025: 26 · 2024: 31 · 2023: 44 · 2022: 59 · 2021: 73 · 2020: 63 · 2019: 53 · 2018: 39 · 2017: 48 · 2016: 43 · 2015: 47 · 2014: 48 · 2013: 37 · 2012: 24
FWCI: 9.37
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 1415 d)
Locations: Cancer Cell (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Cancer Institute (CA102701, P20CA102701, K22CA130828, P50CA102701, R01CA130996, R01CA129344, R01CA138461)
National Institute of General Medical Sciences (U01GM061388, U19GM061388, GM61388)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Signaling Pathways in Disease
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
Keywords: FKBP51, Akt, PHLPP, Akt dephosphorylation, scaffold proteins, pancreatic cancer, chemotherapy response, genotoxic stress, cell death
MeSH terms: Docetaxel, Tacrolimus Binding Protein 5, Antimetabolites, Antineoplastic, Antineoplastic Agents, Antineoplastic Agents, Phytogenic, Cell Line, Cytarabine, Drug Therapy, Humans, Kidney, Neoplasms, Nuclear Proteins, Pancreatic Neoplasms, Phosphoprotein Phosphatases, Paclitaxel, Tacrolimus Binding Proteins, Taxoids, Cell Line, Tumor, Proto-Oncogene Proteins c-akt

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FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt

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