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Cited by 265

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 access
Patil, M D, Bhaumik, J, Babykutty, S, Banerjee, U C, Fukumura, D·2016·Oncogene

Abstract

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.

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Crossref · 10.1038/onc.2016.37

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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

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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

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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