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Origins and consequences of centrosome aberrations in human cancers

Nigg, Erich A.·2006·International Journal of Cancer

Abstract

Recent years have seen a revival of interest in the possible contribution of centrosomes to the development of human cancers. The underlying hypothesis, formulated almost 100 years ago (Boveri T. The origin of malignant tumors; Baltimore, MD: Williams and Wilkins, 1929.), states that numerical and/or structural centrosome abnormalities will cause me missegregation. In addition, centrosome abnormalities are expected to affect cell shape, polarity, and motility. Thus, deregulation of centrosome number and function may foster both chromosomal instability and loss of tissue architecture—2 of the most common phenotypes associated with solid human tumors. In support of the role of centrosome deregulation in tumorigenesis, centrosome aberrations have been observed in early, premalignant lesions. Moreover, they are frequent in many different types of common tumors and their prominence often correlates with poor clinical outcome. This review addresses the origins of centrosome aberrations in human tumors as well as the expected impact of centrosome aberrations on cell fate and tumor development. © 2006 Wiley‐Liss, Inc.

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Metadata

Authors
Nigg, E. A.
Venue
International Journal of Cancer
Publisher
Wiley
Published
2006-10-26
Volume
119
Issue
12
Pages
2717-2723
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W2060225984
Cited by
223
References
3
FWCI
7.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Origins and consequences of centrosome aberrations in human cancers. https://app.cochat.ai/papers/10.1002/ijc.22245
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Nigg, E. A. (2006). Origins and consequences of centrosome aberrations in human cancers. International Journal of Cancer. https://doi.org/10.1002/ijc.22245

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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.