The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Targeting mTOR for cancer therapy
Open accessAbstract
Mechanistic target of rapamycin (mTOR) is a protein kinase regulating cell growth, survival, metabolism, and immunity. mTOR is usually assembled into several complexes such as mTOR complex 1/2 (mTORC1/2). In cooperation with raptor, rictor, LST8, and mSin1, key components in mTORC1 or mTORC2, mTOR catalyzes the phosphorylation of multiple targets such as ribosomal protein S6 kinase β-1 (S6K1), eukaryotic translation initiation factor 4E binding protein 1 (4E-BP1), Akt, protein kinase C (PKC), and type-I insulin-like growth factor receptor (IGF-IR), thereby regulating protein synthesis, nutrients metabolism, growth factor signaling, cell growth, and migration. Activation of mTOR promotes tumor growth and metastasis. Many mTOR inhibitors have been developed to treat cancer. While some of the mTOR inhibitors have been approved to treat human cancer, more mTOR inhibitors are being evaluated in clinical trials. Here, we update recent advances in exploring mTOR signaling and the development of mTOR inhibitors for cancer therapy. In addition, we discuss the mechanisms underlying the resistance to mTOR inhibitors in cancer cells.
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
mTOR Signaling in Growth, Metabolism, and Disease
Saxton, R. A., & Sabatini, D. M. (2017) · Cell · doi:10.1016/j.cell.2017.02.004 · Cited by 7,555
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
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
Discovery and saturation analysis of cancer genes across 21 tumour types
Lawrence, M. S., Stojanov, P., Mermel, C. H., Robinson, J. T., Garraway, L. A., Golub, T. R., Meyerson, M., Gabriel, S. B., Lander, E. S., & Getz, G. (2014) · Nature · doi:10.1038/nature12912 · Cited by 3,096
TSC2 is phosphorylated and inhibited by Akt and suppresses mTOR signalling
Inoki, K., Li, Y., Zhu, T., Wu, J., & Guan, K.-L. (2002) · Nature Cell Biology · doi:10.1038/ncb839 · Cited by 3,083
Sancak, Y., Bar-Peled, L., Zoncu, R., Markhard, A. L., Nada, S., & Sabatini, D. M. (2010) · Cell · doi:10.1016/j.cell.2010.02.024 · Cited by 2,464
Phosphatidylinositol-3-OH kinase direct target of Ras
Rodriguez-Viciana, P., Warne, P. H., Dhand, R., Vanhaesebroeck, B., Gout, I., Fry, M. J., Waterfield, M. D., & Downward, J. (1994) · Nature · doi:10.1038/370527a0 · Cited by 1,954
Regulation of translation initiation by FRAP/mTOR
Gingras, A.-C., Raught, B., & Sonenberg, N. (2001) · Genes & Development · doi:10.1101/gad.887201 · Cited by 1,545
Sestrin2 is a leucine sensor for the mTORC1 pathway
Wolfson, R. L., Chantranupong, L., Saxton, R. A., Shen, K., Scaria, S. M., Cantor, J. R., & Sabatini, D. M. (2016) · Science · doi:10.1126/science.aab2674 · Cited by 1,306
Bar-Peled, L., Chantranupong, L., Cherniack, A. D., Chen, W. W., Ottina, K. A., Grabiner, B. C., Spear, E. D., Carter, S. L., Meyerson, M., & Sabatini, D. M. (2013) · Science · doi:10.1126/science.1232044 · Cited by 1,080
Cited by
Panwar, V., Singh, A., Bhatt, M., Tonk, R. K., Azizov, S., Raza, A. S., Sengupta, S., Kumar, D., & Garg, M. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01608-z · Cited by 967
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
Combination strategies to maximize the benefits of cancer immunotherapy
Zhu, S., Zhang, T., Zheng, L., Liu, H., Song, W., Liu, D., Li, Z., & Pan, C.-X. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01164-5 · Cited by 654
Lactate in the tumour microenvironment: From immune modulation to therapy
Wang, Z.-H., Peng, W.-B., Zhang, P., Yang, X.-P., & Zhou, Q. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103627 · Cited by 528
Targeting the HIF2–VEGF axis in renal cell carcinoma
Choueiri, T. K., & Kaelin, W. G. (2020) · Nature Medicine · doi:10.1038/s41591-020-1093-z · Cited by 477
Metadata
- Authors
- Hua, H., Kong, Q., Zhang, H., Wang, J., Luo, T., & Jiang, Y.
- Venue
- Journal of Hematology & Oncology
- Published
- 2019-07-05
- Volume
- 12
- Issue
- 1
- Pages
- 71-71
- ISSN
- 1756-8722 (ISSN-L)
- OpenAlex
- W2954917865
- Cited by
- 899
- References
- 21
- FWCI
- 28.57
- Type
- journal article
- Language
- en
- Open access
- gold
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: Targeting mTOR for cancer therapy. https://app.cochat.ai/papers/10.1186/s13045-019-0754-1
- The paper
- Hua, H., Kong, Q., Zhang, H., Wang, J., Luo, T., & Jiang, Y. (2019). Targeting mTOR for cancer therapy. Journal of Hematology & Oncology. https://doi.org/10.1186/s13045-019-0754-1
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.