The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Amino Acid Transporters in Cancer and Their Relevance to “Glutamine Addiction”: Novel Targets for the Design of a New Class of Anticancer Drugs
Abstract
Tumor cells have an increased demand for amino acids because of their rapid proliferation rate. In addition to their need in protein synthesis, several amino acids have other roles in supporting cancer growth. There are approximately two-dozen amino acid transporters in humans, and tumor cells must upregulate one or more of these transporters to satisfy their demand for amino acids. If the transporters that specifically serve this purpose in tumor cells are identified, they can be targeted for the development of a brand new class of anticancer drugs; the logical basis of such a strategy would be to starve the tumor cells of an important class of nutrients. To date, four amino acid transporters have been found to be expressed at high levels in cancer: SLC1A5, SLC7A5, SLC7A11, and SLC6A14. Their induction occurs in a cancer type–specific manner with a direct or indirect involvement of the oncogene c-Myc. Further, these transporters are functionally coupled, thus maximizing their ability to promote cancer growth and chemoresistance. Progress has been made in preclinical studies, exploiting these transporters as drug targets in cancer therapy. These transporters also show promise in development of new tumor-imaging probes and in tumor-specific delivery of appropriately designed chemotherapeutic agents. Cancer Res; 75(9); 1782–8. ©2015 AACR.
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
Gao, P., Tchernyshyov, I., Chang, T.-C., Lee, Y.-S., Kita, K., Ochi, T., Zeller, K. I., De Marzo, A. M., Van Eyk, J. E., Mendell, J. T., et al. (2009) · Nature · doi:10.1038/nature07823 · Cited by 2,124
Wise, D. R., DeBerardinis, R. J., Mancuso, A., Sayed, N., Zhang, X.-Y., Pfeiffer, H. K., Nissim, I., Daikhin, E., Yudkoff, M., McMahon, S. B., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810199105 · Cited by 2,001
Bidirectional Transport of Amino Acids Regulates mTOR and Autophagy
Nicklin, P., Bergman, P., Zhang, B., Triantafellow, E., Wang, H., Nyfeler, B., Yang, H., Hild, M., Kung, C., Wilson, C., et al. (2009) · Cell · doi:10.1016/j.cell.2008.11.044 · Cited by 1,798
Glutamine addiction: a new therapeutic target in cancer
Wise, D. R., & Thompson, C. B. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.05.003 · Cited by 1,770
Serine, glycine and one-carbon units: cancer metabolism in full circle
Locasale, J. W. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3557 · Cited by 1,673
Ishimoto, T., Nagano, O., Yae, T., Tamada, M., Motohara, T., Oshima, H., Oshima, M., Ikeda, T., Asaba, R., Yagi, H., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.01.038 · Cited by 1,192
Lewerenz, J., Hewett, S. J., Huang, Y., Lambros, M., Gout, P. W., Kalivas, P. W., Massie, A., Smolders, I., Methner, A., Pergande, M., et al. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4391 · Cited by 978
Self-citationNakaya, M., Xiao, Y., Zhou, X., Chang, J.-H., Chang, M., Cheng, X., Blonska, M., Lin, X., & Sun, S.-C. (2014) · Immunity · doi:10.1016/j.immuni.2014.04.007 · Cited by 866
Lysosomal amino acid transporter SLC38A9 signals arginine sufficiency to mTORC1
Wang, S., Tsun, Z.-Y., Wolfson, R. L., Shen, K., Wyant, G. A., Plovanich, M. E., Yuan, E. D., Jones, T. D., Chantranupong, L., Comb, W., et al. (2015) · Science · doi:10.1126/science.1257132 · Cited by 824
Nutrient transporters in cancer: Relevance to Warburg hypothesis and beyond
Ganapathy, V., Thangaraju, M., & Prasad, P. D. (2009) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2008.09.005 · Cited by 710
Self-citation
Cited by
From Krebs to clinic: glutamine metabolism to cancer therapy
Altman, B. J., Stine, Z. E., & Dang, C. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.71 · Cited by 2,119
mTOR signalling and cellular metabolism are mutual determinants in cancer
Mossmann, D., Park, S., & Hall, M. N. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0074-8 · Cited by 1,088
Koppula, P., Zhang, Y., Zhuang, L., & Gan, B. (2018) · Cancer Communications · doi:10.1186/s40880-018-0288-x · Cited by 915
Lipid metabolism reprogramming and its potential targets in cancer
Cheng, C., Geng, F., Cheng, X., & Guo, D. (2018) · Cancer Communications · doi:10.1186/s40880-018-0301-4 · Cited by 850
Glutamine Metabolism in Cancer: Understanding the Heterogeneity
Cluntun, A. A., Lukey, M. J., Cerione, R. A., & Locasale, J. W. (2017) · Trends in Cancer · doi:10.1016/j.trecan.2017.01.005 · Cited by 796
Metadata
- Authors
- Bhutia, Y. D., Babu, E., Ramachandran, S., & Ganapathy, V.
- Venue
- Cancer Research
- Published
- 2015-04-30
- Volume
- 75
- Issue
- 9
- Pages
- 1782-1788
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2032676761
- Cited by
- 481
- References
- 53
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- closed
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: Amino Acid Transporters in Cancer and Their Relevance to “Glutamine Addiction”: Novel Targets for the Design of a New Class of Anticancer Drugs. https://app.cochat.ai/papers/10.1158/0008-5472.can-14-3745
- The paper
- Bhutia, Y. D., Babu, E., Ramachandran, S., & Ganapathy, V. (2015). Amino Acid Transporters in Cancer and Their Relevance to “Glutamine Addiction”: Novel Targets for the Design of a New Class of Anticancer Drugs. Cancer Research. https://doi.org/10.1158/0008-5472.can-14-3745
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.