The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Targeting cancer metabolism: a therapeutic window opens
Open accessAbstract
Genetic events in cancer activate signalling pathways that alter cell metabolism. Clinical evidence has linked cell metabolism with cancer outcomes. Together, these observations have raised interest in targeting metabolic enzymes for cancer therapy, but they have also raised concerns that these therapies would have unacceptable effects on normal cells. However, some of the first cancer therapies that were developed target the specific metabolic needs of cancer cells and remain effective agents in the clinic today. Research into how changes in cell metabolism promote tumour growth has accelerated in recent years. This has refocused efforts to target metabolic dependencies of cancer cells as a selective anticancer strategy.
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
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
mTOR: from growth signal integration to cancer, diabetes and ageing
Zoncu, R., Efeyan, A., & Sabatini, D. M. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3025 · Cited by 3,941
Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms
Calle, E. E., & Kaaks, R. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1408 · Cited by 3,613
Oxygen sensing by metazoans: the central role of the HIF hydroxylase pathway.
Kaelin, W. G., & Ratcliffe, P. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.04.009 · Cited by 3,251
Cited by
Fundamentals of Cancer Metabolism
DeBerardinis, R. J., & Chandel, N. S. (2016) · Science Advances · doi:10.1126/sciadv.1600200 · Cited by 3,013
Glutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathway
Son, J., Lyssiotis, C. A., Ying, H., Wang, X., Hua, S., Ligorio, M., Perera, R. M., Ferrone, C. R., Mullarky, E., Shyh-Chang, N., et al. (2013) · Nature · doi:10.1038/nature12040 · Cited by 1,990
Garrett, W. S. (2015) · Science · doi:10.1126/science.aaa4972 · Cited by 1,404
Metabolic heterogeneity in human lung tumors
Hensley, C. T., Faubert, B., Yuan, Q., Lev-Cohain, N., Jin, E., Kim, J., Jiang, L., Ko, B., Skelton, R., Loudat, L., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.034 · Cited by 1,138
The insulin and insulin-like growth factor receptor family in neoplasia: an update
Pollak, M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3215 · Cited by 1,116
Metadata
- Authors
- Vander Heiden, M. G.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2011-08-31
- Volume
- 10
- Issue
- 9
- Pages
- 671-684
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2131719921
- Cited by
- 1,411
- References
- 47
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- green
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 cancer metabolism: a therapeutic window opens. https://app.cochat.ai/papers/10.1038/nrd3504
- The paper
- Vander Heiden, M. G. (2011). Targeting cancer metabolism: a therapeutic window opens. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd3504
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.
