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Cited by 784

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Mitochondrial apoptosis: killing cancer using the enemy within

Open access
Lopez, J, Tait, S W G·2015·British Journal of Cancer

Abstract

Apoptotic cell death inhibits oncogenesis at multiple stages, ranging from transformation to metastasis. Consequently, in order for cancer to develop and progress, apoptosis must be inhibited. Cell death also plays major roles in cancer treatment, serving as the main effector function of many anti-cancer therapies. In this review, we discuss the role of apoptosis in the development and treatment of cancer. Specifically, we focus upon the mitochondrial pathway of apoptosis-the most commonly deregulated form of cell death in cancer. In this process, mitochondrial outer membrane permeabilisation or MOMP represents the defining event that irrevocably commits a cell to die. We provide an overview of how this pathway is regulated by BCL-2 family proteins and describe ways in which cancer cells can block it. Finally, we discuss exciting new approaches aimed at specifically inducing mitochondrial apoptosis in cancer cells, outlining their potential pitfalls, while highlighting their considerable therapeutic promise.

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Crossref · 10.1038/bjc.2015.85

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Metadata

Authors
Lopez, J., & Tait, S. W. G.
Venue
British Journal of Cancer
Published
2015-03
Volume
112
Issue
6
Pages
957-962
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2080652879
Cited by
784
References
7
FWCI
19.30
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Mitochondrial apoptosis: killing cancer using the enemy within. https://app.cochat.ai/papers/10.1038/bjc.2015.85
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Lopez, J., & Tait, S. W. G. (2015). Mitochondrial apoptosis: killing cancer using the enemy within. British Journal of Cancer. https://doi.org/10.1038/bjc.2015.85

Data sources

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.