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Cited by 563

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Combination bacteriolytic therapy for the treatment of experimental tumors

Open access
Dang, Long H., Bettegowda, Chetan, Huso, David L., Kinzler, Kenneth W., Vogelstein, Bert·2001·Proceedings of the National Academy of Sciences

Abstract

Current chemotherapeutic approaches for cancer are in part limited by the inability of drugs to destroy neoplastic cells within poorly vascularized compartments of tumors. We have here systematically assessed anaerobic bacteria for their capacity to grow expansively within avascular compartments of transplanted tumors. Among 26 different strains tested, one ( Clostridium novyi ) appeared particularly promising. We created a strain of C. novyi devoid of its lethal toxin ( C. novyi-NT ) and showed that intravenously injected C. novyi-NT spores germinated within the avascular regions of tumors in mice and destroyed surrounding viable tumor cells. When C. novyi-NT spores were administered together with conventional chemotherapeutic drugs, extensive hemorrhagic necrosis of tumors often developed within 24 h, resulting in significant and prolonged antitumor effects. This strategy, called co mbination ba cterio l ytic t herapy (COBALT), has the potential to add a new dimension to the treatment of cancer.

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Metadata

Authors
Dang, L. H., Bettegowda, C., Huso, D. L., Kinzler, K. W., & Vogelstein, B.
Venue
Proceedings of the National Academy of Sciences
Published
2001-11-27
Volume
98
Issue
26
Pages
15155-15160
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2046894146
Cited by
563
References
0
FWCI
9.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Combination bacteriolytic therapy for the treatment of experimental tumors. https://app.cochat.ai/papers/10.1073/pnas.251543698
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Dang, L. H., Bettegowda, C., Huso, D. L., Kinzler, K. W., & Vogelstein, B. (2001). Combination bacteriolytic therapy for the treatment of experimental tumors. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.251543698

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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.