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Cited by 196

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Targeting the Thioredoxin System as a Strategy for Cancer Therapy: Miniperspective

Bian, Mianli, Fan, Rong, Zhao, Sai, Liu, Wukun·2019·Journal of Medicinal Chemistry

Abstract

Thioredoxin reductase (TrxR) participates in the regulation of redox reactions in organisms. It works mainly via its substrate molecule, thioredoxin, to maintain the redox balance and regulate signal transduction, which controls cell proliferation, differentiation, death, and other important physiological processes. In recent years, increasing evidence has shown that the overactivation of TrxR is related to the development of tumors. The exploration of TrxR-targeted antitumor drugs has attracted wide attention and is expected to provide new therapies for cancer treatment. In this perspective, we highlight the specific relationship between TrxR and apoptotic signaling pathways. The cytoplasm and mitochondria both contain TrxR, resulting in the activation of apoptosis. TrxR activity influences reactive oxygen species (ROS) and further regulates the inflammatory signaling pathway. In addition, we discuss representative TrxR inhibitors with anticancer activity and analyze the challenges in developing TrxR inhibitors as anticancer drugs.

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Metadata

Authors
Bian, M., Fan, R., Zhao, S., & Liu, W.
Venue
Journal of Medicinal Chemistry
Published
2019-04-09
Volume
62
Issue
16
Pages
7309-7321
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2936661462
Cited by
196
References
2
FWCI
5.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Targeting the Thioredoxin System as a Strategy for Cancer Therapy: Miniperspective. https://app.cochat.ai/papers/10.1021/acs.jmedchem.8b01595
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Bian, M., Fan, R., Zhao, S., & Liu, W. (2019). Targeting the Thioredoxin System as a Strategy for Cancer Therapy: Miniperspective. Journal of Medicinal Chemistry. https://doi.org/10.1021/acs.jmedchem.8b01595

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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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