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Prognostic and predictive value of TP53 mutations in node-positive breast cancer patients treated with anthracycline- or anthracycline/taxane-based adjuvant therapy: results from the BIG 02-98 phase III trial.

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TLDR
The prognosis and predictive values of TP53 somatic mutations in the BIG 02-98 randomized phase III trial in which women with node-positive breast cancer were treated with adjuvant doxorubicin-based chemotherapy with or without docetaxel were explored.
Abstract
Introduction: Pre-clinical data suggest p53-dependent anthracycline-induced apoptosis and p53-independent taxane activity. However, dedicated clinical research has not defined a predictive role for TP53 gene mutations. The aim of the current study was to retrospectively explore the prognosis and predictive values of TP53 somatic mutations in the BIG 02-98 randomized phase III trial in which women with node-positive breast cancer were treated with adjuvant doxorubicin-based chemotherapy with or without docetaxel. Methods: The prognostic and predictive values of TP53 were analyzed in tumor samples by gene sequencing within exons 5 to 8. Patients were classified according to p53 protein status predicted from TP53 gene sequence, as wild-type (no TP53 variation or TP53 variations which are predicted not to modify p53 protein sequence) or mutant (p53 nonsynonymous mutations). Mutations were subcategorized according to missense or truncating mutations. Survival analyses were performed using the Kaplan-Meier method and log-rank test. Cox-regression analysis was used to identify independent predictors of outcome. Results: TP53 gene status was determined for 18% (520 of 2887) of the women enrolled in BIG 02-98. TP53 gene variations were found in 17% (90 of 520). Nonsynonymous p53 mutations, found in 16.3% (85 of 520), were associated with older age, ductal morphology, higher grade and hormone-receptor negativity. Of the nonsynonymous mutations, 12.3% (64 of 520) were missense and 3.6% were truncating (19 of 520). Only truncating mutations showed significant independent prognostic value, with an increased recurrence risk compared to patients with non-modified p53 protein (hazard ratio = 3.21, 95% confidence interval = 1.740 to 5.935, P = 0.0002). p53 status had no significant predictive value for response to docetaxel. Conclusions: p53 truncating mutations were uncommon but associated with poor prognosis. No significant predictive role for p53 status was detected.

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Journal ArticleDOI

Hereditary Ovarian Cancer: Not Only BRCA 1 and 2 Genes

TL;DR: The identification of mutations in ovarian cancer susceptibility genes in healthy women may result in a more personalized cancer risk management with tailored clinical and radiological surveillance, chemopreventive approaches, and/or prophylactic surgeries.
Journal ArticleDOI

Somatic TP53 Mutations in the Era of Genome Sequencing.

TL;DR: The clinical significance of TP53 mutation is dependent on tumor subtype and context, and understanding the clinical impact of mutation will require integrating mutation-specific information (type, frequency, and predicted impact) with data on haplotypes and on loss of heterozygosity.
Journal ArticleDOI

Mutant p53 in breast cancer: potential as a therapeutic target and biomarker.

TL;DR: Since p53 is mutated in the vast majority of TN breast cancers, compounds such as APR-246, PK11007, and COTI-2 are potential treatments for patients with this subform of the disease.
References
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Journal ArticleDOI

p53, the Cellular Gatekeeper for Growth and Division

TL;DR: The author regrets the lack of citations for many important observations mentioned in the text, but their omission is made necessary by restrictions in the preparation of review manuscripts.
Journal ArticleDOI

Blinded by the Light: The Growing Complexity of p53

TL;DR: Control of p53's transcriptional activity is crucial for determining which p53 response is activated, a decision that must be understood if the next generation of drugs that selectively activate or inhibit p53 are to be exploited efficiently.
Journal ArticleDOI

Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database.

TL;DR: It is shown that loss of transactivation capacity is a key factor for the selection of missense mutations, and that difference in mutation frequencies is closely related to nucleotide substitution rates along TP53 coding sequence, which provides new insights into the factors that shape mutation patterns and influence mutation phenotype.
Journal ArticleDOI

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival

TL;DR: The p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels, showing the primary importance of p53 functional status in predicting clinical breast cancer behavior.
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