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Cited by 527

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

Oxidative stress in prostate cancer

Open access
Khandrika, Lakshmipathi, Kumar, Binod, Koul, Sweaty, Maroni, Paul, Koul, Hari K.·2009·Cancer Letters

Abstract

As prostate cancer and aberrant changes in reactive oxygen species (ROS) become more common with aging, ROS signaling may play an important role in the development and progression of this malignancy. Increased ROS, otherwise known as oxidative stress, is a result of either increased ROS generation or a loss of antioxidant defense mechanisms. Oxidative stress is associated with several pathological conditions including inflammation and infection. ROS are products of normal cellular metabolism and play vital roles in stimulation of signaling pathways in response to changing intra- and extracellular environmental conditions. Chronic increases in ROS over time are known to induce somatic mutations and neoplastic transformation. In this review we summarize the causes for increased ROS generation and its potential role in etiology and progression of prostate cancer.

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Crossref · 10.1016/j.canlet.2008.12.011

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Metadata

Authors
Khandrika, L., Kumar, B., Koul, S., Maroni, P., & Koul, H. K.
Venue
Cancer Letters
Publisher
Elsevier BV
Published
2009-09
Volume
282
Issue
2
Pages
125-136
ISSN
0304-3835 (ISSN-L)
OpenAlex
W2004859816
Cited by
527
References
97
FWCI
10.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Oxidative stress in prostate cancer. https://app.cochat.ai/papers/10.1016/j.canlet.2008.12.011
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Khandrika, L., Kumar, B., Koul, S., Maroni, P., & Koul, H. K. (2009). Oxidative stress in prostate cancer. Cancer Letters. https://doi.org/10.1016/j.canlet.2008.12.011

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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.