Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival

Ajay N. Jain; Koei Chin; Anne Lise Børresen-Dale; Bjorn K. Erikstein; Per Eystein Lonning; Rolf Kaaresen; Joe W. Gray

doi:10.1073/pnas.151241198

Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival

Ajay N. Jain, Koei Chin, Anne Lise Børresen-Dale, Bjorn K. Erikstein, Per Eystein Lonning, Rolf Kaaresen, Joe W. Gray

Research output: Contribution to journal › Article › peer-review

84 Scopus citations

Abstract

We present a general method for rigorously identifying correlations between variations in large-scale molecular profiles and outcomes and apply it to chromosomal comparative genomic hybridization data from a set of 52 breast tumors. We identify two loci where copy number abnormalities are correlated with poor survival outcome (gain at 8q24 and loss at 9q13). We also identify a relationship between abnormalities at two loci and the mutational status of p53. Gain at 8q24 and loss at 5q15-5q21 are linked with mutant p53. The 9q and 5q losses suggest the possibility of gene products involved in breast cancer progression. The analytical techniques are general and also are applicable to the analysis of array-based expression data.

Original language	English (US)
Pages (from-to)	7952-7957
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	98
Issue number	14
DOIs	https://doi.org/10.1073/pnas.151241198
State	Published - 2001
Externally published	Yes

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Jain, A. N., Chin, K., Børresen-Dale, A. L., Erikstein, B. K., Lonning, P. E., Kaaresen, R., & Gray, J. W. (2001). Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival. Proceedings of the National Academy of Sciences of the United States of America, 98(14), 7952-7957. https://doi.org/10.1073/pnas.151241198

Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival. / Jain, Ajay N.; Chin, Koei; Børresen-Dale, Anne Lise et al.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 98, No. 14, 2001, p. 7952-7957.

Research output: Contribution to journal › Article › peer-review

Jain, AN, Chin, K, Børresen-Dale, AL, Erikstein, BK, Lonning, PE, Kaaresen, R & Gray, JW 2001, 'Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival', Proceedings of the National Academy of Sciences of the United States of America, vol. 98, no. 14, pp. 7952-7957. https://doi.org/10.1073/pnas.151241198

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abstract = "We present a general method for rigorously identifying correlations between variations in large-scale molecular profiles and outcomes and apply it to chromosomal comparative genomic hybridization data from a set of 52 breast tumors. We identify two loci where copy number abnormalities are correlated with poor survival outcome (gain at 8q24 and loss at 9q13). We also identify a relationship between abnormalities at two loci and the mutational status of p53. Gain at 8q24 and loss at 5q15-5q21 are linked with mutant p53. The 9q and 5q losses suggest the possibility of gene products involved in breast cancer progression. The analytical techniques are general and also are applicable to the analysis of array-based expression data.",

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AU - Jain, Ajay N.

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AU - Erikstein, Bjorn K.

AU - Lonning, Per Eystein

AU - Kaaresen, Rolf

AU - Gray, Joe W.

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AB - We present a general method for rigorously identifying correlations between variations in large-scale molecular profiles and outcomes and apply it to chromosomal comparative genomic hybridization data from a set of 52 breast tumors. We identify two loci where copy number abnormalities are correlated with poor survival outcome (gain at 8q24 and loss at 9q13). We also identify a relationship between abnormalities at two loci and the mutational status of p53. Gain at 8q24 and loss at 5q15-5q21 are linked with mutant p53. The 9q and 5q losses suggest the possibility of gene products involved in breast cancer progression. The analytical techniques are general and also are applicable to the analysis of array-based expression data.

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Quantitative analysis of chromosomal CGH in human breast tumors associates copy number abnormalities with p53 status and patient survival

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