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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Clinical Outcomes and Correlates of TP53 Mutations and Cancer

Open access
Robles, A. I., Harris, C. C.·2010·Cold Spring Harbor Perspectives in Biology

Abstract

The initial observation that p53 accumulation might serve as a surrogate biomarker for TP53 mutation has been the cornerstone for vast translational efforts aimed at validating its clinical use for the diagnosis, prognosis, and treatment of cancer. Early on, it was realized that accurate evaluation of p53 status and function could not be achieved through protein-expression analysis only. As our understanding of the p53 pathway has evolved and more sophisticated methods for assessment of p53 functional integrity have become available, the clinical and molecular epidemiological implications of p53 abnormalities in cancers are being revealed. They include diagnostic testing for germline p53 mutations, and the assessment of selected p53 mutations as biomarkers of carcinogen exposure and cancer risk and prognosis. Here, we describe the strengths and limitations of the most frequently used techniques for determination of p53 status in tumors, as well as the most remarkable latest findings relating to its clinical and epidemiological value.

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Metadata

Authors
Robles, A. I., & Harris, C. C.
Venue
Cold Spring Harbor Perspectives in Biology
Published
2009-11-25
Volume
2
Issue
3
Pages
a001016-a001016
ISSN
1943-0264 (ISSN-L)
OpenAlex
W2167097026
Cited by
394
References
10
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Clinical Outcomes and Correlates of TP53 Mutations and Cancer. https://app.cochat.ai/papers/10.1101/cshperspect.a001016
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Robles, A. I., & Harris, C. C. (2010). Clinical Outcomes and Correlates of TP53 Mutations and Cancer. Cold Spring Harbor Perspectives in Biology. https://doi.org/10.1101/cshperspect.a001016

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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.