NDLI: Mutation detection by highly sensitive methods indicates that p53 gene mutations in breast cancer can have important prognostic value.

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Mutation detection by highly sensitive methods indicates that p53 gene mutations in breast cancer can have important prognostic value.

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Mutation detection by highly sensitive methods indicates that p53 gene mutations in breast cancer can have important prognostic value.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Kovach, J. S. Hartmann, A. Sommer, S. S. Blaszyk, H. Schaid, D. Cunningham, J.
Description	Author Affiliation: Kovach JS ( Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA.);
Abstract	Human cancer cells with a mutated p53 tumor-suppressor gene have a selective growth advantage and may exhibit resistance to ionizing radiation and certain chemotherapeutic agents. To examine the prognostic value of mutations in the p53 gene, a cohort of 90 Midwestern Caucasian breast cancer patients were analyzed with methodology that detects virtually 100% of all mutations. The presence of a p53 gene mutation was by far the single most predictive indicator for recurrence and death (relative risks of 4.7 and 23.2, respectively). Direct detection of p53 mutations had substantially greater prognostic value than immunohistochemical detection of p53 overexpression. Analysis of p53 gene mutations may permit identification of a subset of breast cancer patients who, despite lack of conventional indicators of poor prognosis, are at high risk of early recurrence and death.
ISSN	00278424
e-ISSN	10916490
Journal	Proceedings of the National Academy of Sciences of the United States of America
Issue Number	3
Volume Number	93
Language	English
Publisher	National Academy of Sciences
Publisher Date	1996-03-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Breast Neoplasms Genetics Mortality Genes, P53 Mutation Alternative Splicing Amino Acid Sequence Pathology DNA Primers Disease-Free Survival Exons Follow-Up Studies Frameshift Mutation Gene Expression Immunohistochemistry Lymphatic Metastasis Molecular Sequence Data Neoplasm Staging Point Mutation Polymerase Chain Reaction Predictive Value Of Tests Prognosis Receptors, Estrogen Receptors, Progesterone Recurrence Risk Factors Sensitivity And Specificity Sequence Deletion Survival Analysis Time Factors Tumor Suppressor Protein P53 Biosynthesis Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Multidisciplinary
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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