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Proceedings of the National Academy of Sciences
Article . 1999 . Peer-reviewed
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Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array

Authors: S A, Ahrendt; S, Halachmi; J T, Chow; L, Wu; N, Halachmi; S C, Yang; S, Wehage; +2 Authors

Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array

Abstract

The p53 gene was sequenced in 100 primary human lung cancers by using direct dideoxynucleotide cycle sequencing and compared with sequence analysis by using the p53 GeneChip assay. Differences in sequence analysis between the two techniques were further evaluated to determine the accuracy and limitations of each method. p53 mutations were either detected by using both techniques or, if only detected by one technique, were confirmed by using mutation-specific oligonucleotide hybridization. Dideoxynucleotide sequencing of the conserved regions of the p53 gene (exons 5–9) detected 76% of the mutations within this region of the gene. The GeneChip p53 assay detected 81% of all (exons 2–11) mutations, including 80% of the mutations within the conserved regions of the gene. The GeneChip assay detected 46 of 52 missense mutations (88%), but 0 of 5 frameshift mutations. The specificity of direct sequencing and of the p53 GeneChip assay at detecting p53 mutations were 100% and 98%, respectively. The GeneChip p53 assay is a rapid and reasonably accurate approach for detecting p53 mutations; however, neither direct sequencing nor the p53 GeneChip are infallible at p53 mutation detection.

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Keywords

Lung Neoplasms, Mutation, Humans, Tumor Suppressor Protein p53, Oligonucleotide Probes, Sequence Analysis

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    210
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
210
Top 10%
Top 1%
Top 1%
bronze
Related to Research communities
Cancer Research