The DOI matches its Crossref record; 203 of the 203 references it cites were found in a registry or an index.
Arginine dependence of tumor cells: targeting a chink in cancer’s armor
Open accessAbstract
Arginine, one among the 20 most common natural amino acids, has a pivotal role in cellular physiology as it is being involved in numerous cellular metabolic and signaling pathways. Dependence on arginine is diverse for both tumor and normal cells. Because of decreased expression of argininosuccinate synthetase and/or ornithine transcarbamoylase, several types of tumor are auxotrophic for arginine. Deprivation of arginine exploits a significant vulnerability of these tumor cells and leads to their rapid demise. Hence, enzyme-mediated arginine depletion is a potential strategy for the selective destruction of tumor cells. Arginase, arginine deiminase and arginine decarboxylase are potential enzymes that may be used for arginine deprivation therapy. These arginine catabolizing enzymes not only reduce tumor growth but also make them susceptible to concomitantly administered anti-cancer therapeutics. Most of these enzymes are currently under clinical investigations and if successful will potentially be advanced as anti-cancer modalities.
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
What Is the Evidence That Tumors Are Angiogenesis Dependent?
Folkman, J. (1990) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/82.1.4 · Cited by 4,531
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
Arginine metabolism: nitric oxide and beyond
WU, G., & MORRIS, S. M. (1998) · Biochemical Journal · doi:10.1042/bj3360001 · Cited by 2,811
The mechanism of eukaryotic translation initiation and principles of its regulation
Jackson, R. J., Hellen, C. U. T., & Pestova, T. V. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2838 · Cited by 2,759
Regulation of immune responses by L-arginine metabolism
Bronte, V., & Zanovello, P. (2005) · Nature Reviews Immunology · doi:10.1038/nri1668 · Cited by 1,775
Normalization of the Vasculature for Treatment of Cancer and Other Diseases
Goel, S., Duda, D. G., Xu, L., Munn, L. L., Boucher, Y., Fukumura, D., & Jain, R. K. (2011) · Physiological Reviews · doi:10.1152/physrev.00038.2010 · Cited by 1,605
Self-citationTargeting cancer metabolism: a therapeutic window opens
Vander Heiden, M. G. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3504 · Cited by 1,411
Autophagy as a cell death and tumor suppressor mechanism
Gozuacik, D., & Kimchi, A. (2004) · Oncogene · doi:10.1038/sj.onc.1207521 · Cited by 1,384
Hara, K., Yonezawa, K., Weng, Q.-P., Kozlowski, M. T., Belham, C., & Avruch, J. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.23.14484 · Cited by 1,367
Arginine metabolism and nutrition in growth, health and disease
Wu, G., Bazer, F. W., Davis, T. A., Kim, S. W., Li, P., Marc Rhoads, J., Carey Satterfield, M., Smith, S. B., Spencer, T. E., & Yin, Y. (2009) · Amino Acids · doi:10.1007/s00726-008-0210-y · Cited by 1,362
Cited by
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
Metabolic programming and immune suppression in the tumor microenvironment
Arner, E. N., & Rathmell, J. C. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.01.009 · Cited by 668
Similarities and Distinctions of Cancer and Immune Metabolism in Inflammation and Tumors
Andrejeva, G., & Rathmell, J. C. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.004 · Cited by 373
Rewiring urea cycle metabolism in cancer to support anabolism
Keshet, R., Szlosarek, P., Carracedo, A., & Erez, A. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0054-z · Cited by 323
Arginine Metabolism in Myeloid Cells Shapes Innate and Adaptive Immunity
Rodriguez, P. C., Ochoa, A. C., & Al-Khami, A. A. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00093 · Cited by 285
Metadata
- Authors
- Patil, M. D., Bhaumik, J., Babykutty, S., Banerjee, U. C., & Fukumura, D.
- Venue
- Oncogene
- Published
- 2016-04-25
- Volume
- 35
- Issue
- 38
- Pages
- 4957-4972
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2342912708
- Cited by
- 265
- References
- 203
- FWCI
- 16.77
- 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: Arginine dependence of tumor cells: targeting a chink in cancer’s armor. https://app.cochat.ai/papers/10.1038/onc.2016.37
- The paper
- Patil, M. D., Bhaumik, J., Babykutty, S., Banerjee, U. C., & Fukumura, D. (2016). Arginine dependence of tumor cells: targeting a chink in cancer’s armor. Oncogene. https://doi.org/10.1038/onc.2016.37
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.