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Cited by 280

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Tumor Metabolism of Lactate: The Influence and Therapeutic Potential for MCT and CD147 Regulation

Open access
Kennedy, Kelly M, Dewhirst, Mark W·2010·Future Oncology

Abstract

Tumor metabolism consists of complex interactions between oxygenation states, metabolites, ions, the vascular network and signaling cascades. Accumulation of lactate within tumors has been correlated with poor clinical outcomes. While its production has negative implications, potentially contributing to tumor progression, the implications of the ability of tumors to utilize lactate can offer new therapeutic targets for the future. Monocarboxylate transporters (MCTs) of the SLC16A gene family influence substrate availability, the metabolic path of lactate and pH balance within the tumor. CD147, a chaperone to some MCT subtypes, contributes to tumor progression and metastasis. The implications and consequences of lactate utilization by tumors are currently unknown; therefore future research is needed on the intricacies of tumor metabolism. The possibility of metabolic modification of the tumor microenvironment via regulation or manipulation of MCT1 and CD147 may prove to be promising avenues of therapeutic options.

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Metadata

Authors
Kennedy, K. M., & Dewhirst, M. W.
Venue
Future Oncology
Published
2009-12-18
Volume
6
Issue
1
Pages
127-148
ISSN
  • 1479-6694 (ISSN-L)
  • 1744-8301
OpenAlex
W2099810479
Cited by
280
References
8
FWCI
4.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tumor Metabolism of Lactate: The Influence and Therapeutic Potential for MCT and CD147 Regulation. https://app.cochat.ai/papers/10.2217/fon.09.145
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Kennedy, K. M., & Dewhirst, M. W. (2010). Tumor Metabolism of Lactate: The Influence and Therapeutic Potential for MCT and CD147 Regulation. Future Oncology. https://doi.org/10.2217/fon.09.145

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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.