Literature DB >> 21248301

Distinct p53 gene signatures are needed to predict prognosis and response to chemotherapy in ER-positive and ER-negative breast cancers.

Charles Coutant1, Roman Rouzier, Yuan Qi, Jacqueline Lehmann-Che, Giampaolo Bianchini, Takayuki Iwamoto, Gabriel N Hortobagyi, W Fraser Symmans, Serge Uzan, Fabrice Andre, Hugues de Thé, Lajos Pusztai.   

Abstract

PURPOSE: Estrogen receptor-positive (ER+) and -negative (ER) breast cancers are molecularly distinct diseases. We hypothesized that p53 mutations may lead to different transcriptional changes and carry different prognostic value in these two different types of cancers. EXPERIMENTAL
DESIGN: We developed a 39-gene p53 signature derived from 213 ER+ and a separate 30-gene signature from 38 ER- cancers with known mutation status and tested their prognostic and chemotherapy response predictive values in ER+ and ER- cancers, respectively.
RESULTS: External validation to predict p53 status (n = 103) showed sensitivity and specificity of 89% and 54% for the 39-gene signature, and 82% and 61% for the 30-gene signature. The 39-gene signature was predictive of worse distant metastasis free survival in ER+ cancers in two separate prognostic data sets (n = 255, HR: 2.3, P = 0.005 and n = 198, HR: 2.17, P = 0.09). It also predicted for poor prognosis even with adjuvant tamoxifen therapy (n = 277, HR = 2.43, P < 0.0001) but it was not prognostic in ER- cancers. It was also associated with higher chemotherapy sensitivity in ER+ but not in ER- cancers. The prognostic and predictive values remained significant in multivariate analysis. The 30-gene, ER-, p53 signature showed no prognostic or predictive values in ER+ cancers but it was associated with better prognosis in ER- cancers. It also had no chemotherapy response predictive value in ER- or ER+ cancers.
CONCLUSIONS: P53 dysfunction is prognostically most relevant in ER+ cancers and supports the hypothesis that different predictive or prognostic markers will be needed for different molecular subsets of breast cancer. ©2011 AACR.

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Year:  2011        PMID: 21248301     DOI: 10.1158/1078-0432.CCR-10-1045

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

1.  Wnt-pathway activation in two molecular classes of hepatocellular carcinoma and experimental modulation by sorafenib.

Authors:  Anja Lachenmayer; Clara Alsinet; Radoslav Savic; Laia Cabellos; Sara Toffanin; Yujin Hoshida; Augusto Villanueva; Beatriz Minguez; Philippa Newell; Hung-Wen Tsai; Jordi Barretina; Swan Thung; Stephen C Ward; Jordi Bruix; Vincenzo Mazzaferro; Myron Schwartz; Scott L Friedman; Josep M Llovet
Journal:  Clin Cancer Res       Date:  2012-07-18       Impact factor: 12.531

Review 2.  Beyond cytokinesis: the emerging roles of CEP55 in tumorigenesis.

Authors:  J Jeffery; D Sinha; S Srihari; M Kalimutho; K K Khanna
Journal:  Oncogene       Date:  2015-04-27       Impact factor: 9.867

3.  TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53-mutated breast cancers.

Authors:  Balázs Győrffy; Giulia Bottai; Jacqueline Lehmann-Che; György Kéri; László Orfi; Takayuki Iwamoto; Christine Desmedt; Giampaolo Bianchini; Nicholas C Turner; Hugues de Thè; Fabrice André; Christos Sotiriou; Gabriel N Hortobagyi; Angelo Di Leo; Lajos Pusztai; Libero Santarpia
Journal:  Mol Oncol       Date:  2014-01-05       Impact factor: 6.603

4.  The gene expression landscape of breast cancer is shaped by tumor protein p53 status and epithelial-mesenchymal transition.

Authors:  Erik Fredlund; Johan Staaf; Juha K Rantala; Olli Kallioniemi; Ake Borg; Markus Ringnér
Journal:  Breast Cancer Res       Date:  2012-07-27       Impact factor: 6.466

5.  Genetic Alterations in the PI3K/AKT Pathway and Baseline AKT Activity Define AKT Inhibitor Sensitivity in Breast Cancer Patient-derived Xenografts.

Authors:  Albert Gris-Oliver; Marta Palafox; Mafalda Oliveira; Violeta Serra; Laia Monserrat; Fara Brasó-Maristany; Andreu Òdena; Mònica Sánchez-Guixé; Yasir H Ibrahim; Guillermo Villacampa; Judit Grueso; Mireia Parés; Marta Guzmán; Olga Rodríguez; Alejandra Bruna; Caroline S Hirst; Alan Barnicle; Elza C de Bruin; Avinash Reddy; Gaia Schiavon; Joaquín Arribas; Gordon B Mills; Carlos Caldas; Rodrigo Dienstmann; Aleix Prat; Paolo Nuciforo; Pedram Razavi; Maurizio Scaltriti; Nicholas C Turner; Cristina Saura; Barry R Davies
Journal:  Clin Cancer Res       Date:  2020-03-27       Impact factor: 12.531

6.  Predictive biomarkers of sensitivity to the aurora and angiogenic kinase inhibitor ENMD-2076 in preclinical breast cancer models.

Authors:  Jennifer R Diamond; S Gail Eckhardt; Aik Choon Tan; Timothy P Newton; Heather M Selby; Kelsey L Brunkow; Maria I Kachaeva; Marileila Varella-Garcia; Todd M Pitts; Mark R Bray; Graham C Fletcher; John J Tentler
Journal:  Clin Cancer Res       Date:  2012-11-07       Impact factor: 12.531

7.  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.

Authors:  Lynnette Fernández-Cuesta; Catherine Oakman; Priscila Falagan-Lotsch; Ke-Seay Smoth; Emmanuel Quinaux; Marc Buyse; M Stella Dolci; Evandro De Azambuja; Pierre Hainaut; Patrizia Dell'orto; Denis Larsimont; Prudence A Francis; John Crown; Martine Piccart-Gebhart; Giuseppe Viale; Angelo Di Leo; Magali Olivier
Journal:  Breast Cancer Res       Date:  2012-05-02       Impact factor: 6.466

Review 8.  Therapeutic potential of stem cells expressing suicide genes that selectively target human breast cancer cells: evidence that they exert tumoricidal effects via tumor tropism (review).

Authors:  Bo-Rim Yi; Kelvin J Choi; Seung U Kim; Kyung-Chul Choi
Journal:  Int J Oncol       Date:  2012-06-20       Impact factor: 5.650

9.  A systematic evaluation of multi-gene predictors for the pathological response of breast cancer patients to chemotherapy.

Authors:  Kui Shen; Nan Song; Youngchul Kim; Chunqiao Tian; Shara D Rice; Michael J Gabrin; W Fraser Symmans; Lajos Pusztai; Jae K Lee
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

10.  Synergistic role between p53 and JWA: prognostic and predictive biomarkers in gastric cancer.

Authors:  Xin Liu; Shouyu Wang; Xiaowei Xia; Yansu Chen; Yan Zhou; Xuming Wu; Jianbing Zhang; Song He; Yongfei Tan; Fulin Qiang; Oluf Dimitri Røe; Gang Li; Jianwei Zhou
Journal:  PLoS One       Date:  2012-12-21       Impact factor: 3.240

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