The DOI matches its Crossref record; 156 of the 157 references it cites were found in a registry or an index.
Next-generation mTOR inhibitors in clinical oncology: how pathway complexity informs therapeutic strategy
Open accessAbstract
Mammalian target of rapamycin (mTOR) is a PI3K-related kinase that regulates cell growth, proliferation, and survival via mTOR complex 1 (mTORC1) and mTORC2. The mTOR pathway is often aberrantly activated in cancers. While hypoxia, nutrient deprivation, and DNA damage restrain mTORC1 activity, multiple genetic events constitutively activate mTOR in cancers. Here we provide a brief overview of the signaling pathways up- and downstream of mTORC1 and -2, and discuss the insights into therapeutic anticancer targets - both those that have been tried in the clinic with limited success and those currently under clinical development - that knowledge of these pathways gives us.
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“our findings indicate that by preserving the tissue repopulating capacity of the epithelial stem cells, mTOR inhibition with rapamycin and newly developed agents (Wander et al., 2011) may prevent the appearance of radiation-induced mucositis and its consequent negative impact on anticancer treatment outcome and cost”
From mTOR inhibition prevents epithelial stem cell senescence and protects from radiation-induced mucositis (2012) · cites this paper as Wander et al., 2011
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“Treatments targeting key components of tumor hypoxia signaling pathways, including mTOR, are one of the current approaches to cancer therapy.”
From Hypoxia signaling in cancer: Implications for therapeutic interventions (2023) · cites this paper as [182]
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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
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci15593 · Cited by 4,794
Upstream and downstream of mTOR
Hay, N., & Sonenberg, N. (2004) · Genes & Development · doi:10.1101/gad.1212704 · Cited by 4,181
SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver
Horton, J. D., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Clinical Investigation · doi:10.1172/jci0215593 · Cited by 4,092
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
TSC2 Mediates Cellular Energy Response to Control Cell Growth and Survival
Inoki, K., Zhu, T., & Guan, K.-L. (2003) · Cell · doi:10.1016/s0092-8674(03)00929-2 · Cited by 3,914
AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint
Gwinn, D. M., Shackelford, D. B., Egan, D. F., Mihaylova, M. M., Mery, A., Vasquez, D. S., Turk, B. E., & Shaw, R. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.003 · Cited by 3,849
Temsirolimus, Interferon Alfa, or Both for Advanced Renal-Cell Carcinoma
Hudes, G. R., Carducci, M. A., Tomczak, P., Dutcher, J. P., Figlin, R. A., Kapoor, A., Starosławska, E., Sosman, J. A., McDermott, D. F., Bodrogi, I., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa066838 · Cited by 3,645
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
Research works printed but not linked: 7
- Knowles, 2003, Cancer Res., 63, 7652
- Chawla, 2006, J Clin Oncol., 24(suppl), 521s
- Colombo, 2007, J Clin Oncol., 25(suppl), 278s
- Slomovitz, 2008, J Clin Oncol., 26(suppl), 293s
- Carracedo, 2008, J Clin Invest., 118, 3065
- Chow LWC, et al. Presented at the 29th Annual San Antonio Breast Cancer Symposium (December 14–17, 2006, San Antonio, Texas, USA), Phase III study of temsirolimus with letrozole or letrozole alone in postmenopausal women with locally advanced or metastatic breast cancer.
- Shi, 2002, Cancer Res., 62, 5027
Cited by
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mTOR Signaling in Growth Control and Disease
Laplante, M., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.03.017 · Cited by 8,509
MTOR: a pharmacologic target for autophagy regulation
Kim, Y. C., & Guan, K.-L. (2015) · Journal of Clinical Investigation · doi:10.1172/jci73939 · Cited by 2,126
PI3K and cancer: lessons, challenges and opportunities
Fruman, D. A., & Rommel, C. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4204 · Cited by 1,762
Rapamycin: one drug, many effects
Li, J., Kim, S. G., & Blenis, J. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.01.001 · Cited by 1,287
Autophagy and Neurodegeneration: Pathogenic Mechanisms and Therapeutic Opportunities
Menzies, F. M., Fleming, A., Caricasole, A., Bento, C. F., Andrews, S. P., Ashkenazi, A., Füllgrabe, J., Jackson, A., Jimenez Sanchez, M., Karabiyik, C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.01.022 · Cited by 1,134
Metadata
- Authors
- Wander, S. A., Hennessy, B. T., & Slingerland, J. M.
- Affiliations
- University of Miami (US)
- Royal College of Surgeons in Ireland (IE)
- Corresponding author
- Slingerland, Joyce M.
- Venue
- Journal of Clinical Investigation
- Published
- 2011-04-01
- Volume
- 121
- Issue
- 4
- Pages
- 1231-1241
- ISSN
- 0021-9738 (ISSN-L)
- PMC
- PMC3069769
- OpenAlex
- W2025935112
- Cited by
- 427
- References
- 157
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 10 · 2023: 18 · 2022: 16 · 2021: 14 · 2020: 23 · 2019: 23 · 2018: 27 · 2017: 39 · 2016: 28 · 2015: 63 · 2014: 51 · 2013: 47 · 2012: 28
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Lenus, The Irish Health Repository (Dr Steevens Hospital Library) (submittedVersion)
- Funders
- Doris Duke Charitable Foundation
- National Institutes of Health (5-R01-)
- National Cancer Institute (5-R01-CA-105118-04, R01CA105118)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Health Sciences › Medicine › Oncology › Advanced Breast Cancer Therapies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Keywords
- mTOR inhibitors, mTOR signaling, mTORC1, mTORC2, PI3K-related kinases, cancer therapy, therapeutic target
- MeSH terms
- Tuberous Sclerosis Complex 1 Protein, Tuberous Sclerosis Complex 2 Protein, Phosphoinositide-3 Kinase Inhibitors, Antineoplastic Agents, Clinical Trials as Topic, Female, Humans, Male, Neoplasms, Transcription Factors, Signal Transduction, Phosphatidylinositol 3-Kinases, Sirolimus, Tumor Suppressor Proteins, Protein Kinase Inhibitors, TOR Serine-Threonine Kinases
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