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Cited by 458

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Suppression of cancer relapse and metastasis by inhibiting cancer stemness

Open access
Li, Youzhi, Rogoff, Harry A., Keates, Sarah, Gao, Yuan, Murikipudi, Sylaja, Mikule, Keith, Leggett, David, Li, Wei, Pardee, Arthur B., Li, Chiang J.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Current cancer treatments ultimately fail owing to metastasis and relapse. The discovery of therapeutic approaches that counteract relapse and metastasis is, therefore, extremely important for advancing cancer medicine. Hypermalignant cancer cells, termed cancer stem cells or stemness-high cancer cells, have been isolated from patients with a variety of tumor types and found to be highly malignant, tumorigenic, and resistant to chemotherapies. Our data that BBI608, a cancer stemness inhibitor in clinical development, effectively blocks cancer relapse and metastasis in xenografted human cancers, suggest targeting cancer stemness as a novel approach to develop the next generation of cancer therapeutics to suppress cancer relapse and metastasis.

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Crossref · 10.1073/pnas.1424171112

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Metadata

Authors
Li, Y., Rogoff, H. A., Keates, S., Gao, Y., Murikipudi, S., Mikule, K., Leggett, D., Li, W., Pardee, A. B., & Li, C. J.
Venue
Proceedings of the National Academy of Sciences
Published
2015-01-20
Volume
112
Issue
6
Pages
1839-1844
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2127396827
Cited by
458
References
45
FWCI
18.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Suppression of cancer relapse and metastasis by inhibiting cancer stemness. https://app.cochat.ai/papers/10.1073/pnas.1424171112
The paper
Li, Y., Rogoff, H. A., Keates, S., Gao, Y., Murikipudi, S., Mikule, K., Leggett, D., Li, W., Pardee, A. B., & Li, C. J. (2015). Suppression of cancer relapse and metastasis by inhibiting cancer stemness. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1424171112

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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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