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Blood, 1 January 2004, Vol. 103, No. 1, pp. 291-300.
Prepublished online as a Blood First Edition Paper on September 4, 2003; DOI 10.1182/blood-2003-04-1161.
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NEOPLASIA
Microarray analysis reveals that TP53- and ATM-mutant B-CLLs share a defect in activating proapoptotic responses after DNA damage but are distinguished by major differences in activating prosurvival responses
Tatjana Stankovic,
Mike Hubank,
Debbie Cronin,
Grant S. Stewart,
Danielle Fletcher,
Colin R. Bignell,
Azra J. Alvi,
Belinda Austen,
Victoria J. Weston,
Christopher Fegan,
Philip J. Byrd,
Paul A. H. Moss, and
A. Malcolm R. Taylor
From the Cancer Research UK Institute for Cancer Studies, University of Birmingham, Edgbaston; the Department of Molecular Haematology, Institute of Child Health, University College London; and the Department of Haematology, Birmingham Heartlands Hospital, United Kingdom.
The ATM/p53-dependent DNA damage response pathway plays an important role in the progression of lymphoid tumors. Inactivation of the ATM or TP53 gene is frequent in B-cell lymphocytic leukemia (B-CLL) and leads to aggressive disease. Although the ATM and p53 pathways overlap, they are not congruent, and it is unclear how the mechanism of tumor progression differs between ATM- and p53-deficient tumors. Using microarray analysis of ATM-mutant, TP53-mutant, and ATM/TP53 wild-type B-CLLs, we show that after exposure to DNA damage transcriptional responses are entirely dependent on ATM function. The p53 proapoptotic responses comprise only a part of ATM-regulated transcription; additionally, ATM regulates prosurvival responses independently of p53. Consequently, the greater severity of the TP53-mutant B-CLLs compared with ATM-mutant B-CLLs is consistent with the additive effect of defective apoptotic and elevated survival responses after DNA damage in these tumors. We also show that transcription expression profiles of ATM-deficient, TP53-deficient, and wild-type B-CLLs are indistinguishable before irradiation. Therefore, damage-induced transcriptional fingerprinting can be used to stratify tumors according to their biologic differences and simultaneously identify potential targets for treating refractory tumors.

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