TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53 -mutated breast cancers
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
TP53
mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53
-mutated breast cancers
Authors
Keywords
-
Journal
Molecular Oncology
Volume 8, Issue 3, Pages 508-519
Publisher
Wiley
Online
2014-01-05
DOI
10.1016/j.molonc.2013.12.018
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modeling risk stratification in human cancer
- (2013) Thierry Rème et al. BIOINFORMATICS
- The molecular diversity of Luminal A breast tumors
- (2013) Giovanni Ciriello et al. BREAST CANCER RESEARCH AND TREATMENT
- Targeting triple negative breast cancer: Is p53 the answer?
- (2013) Natalie Turner et al. CANCER TREATMENT REVIEWS
- Characterization of novel MPS1 inhibitors with preclinical anticancer activity
- (2013) M Jemaà et al. CELL DEATH AND DIFFERENTIATION
- Effects of the Selective MPS1 Inhibitor MPS1-IN-3 on Glioblastoma Sensitivity to Antimitotic Drugs
- (2013) Bakhos A. Tannous et al. JNCI-Journal of the National Cancer Institute
- DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes
- (2013) L. Santarpia et al. ONCOLOGIST
- TTK/hMPS1 Is an Attractive Therapeutic Target for Triple-Negative Breast Cancer
- (2013) Virginie Maire et al. PLoS One
- Mutation profiling identifies numerous rare drug targets and distinct mutation patterns in different clinical subtypes of breast cancers
- (2012) Libero Santarpia et al. BREAST CANCER RESEARCH AND TREATMENT
- Taxane resistance in breast cancer: Mechanisms, predictive biomarkers and circumvention strategies
- (2012) S. Murray et al. CANCER TREATMENT REVIEWS
- The rebel angel: mutant p53 as the driving oncogene in breast cancer
- (2012) D. Walerych et al. CARCINOGENESIS
- Selective killing of p53-deficient cancer cells by SP600125
- (2012) Mohamed Jemaà et al. EMBO Molecular Medicine
- Comprehensive molecular portraits of human breast tumours
- (2012) Daniel C. Koboldt et al. NATURE
- Phosphorylation of Mps1 by BRAFV600E prevents Mps1 degradation and contributes to chromosome instability in melanoma
- (2012) J Liu et al. ONCOGENE
- Estrogen receptor prevents p53-dependent apoptosis in breast cancer
- (2012) S. T. Bailey et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Jetset: selecting the optimal microarray probe set to represent a gene
- (2011) Qiyuan Li et al. BMC BIOINFORMATICS
- RecurrenceOnline: an online analysis tool to determine breast cancer recurrence and hormone receptor status using microarray data
- (2011) Balázs Győrffy et al. BREAST CANCER RESEARCH AND TREATMENT
- Distinct p53 Gene Signatures Are Needed to Predict Prognosis and Response to Chemotherapy in ER-Positive and ER-Negative Breast Cancers
- (2011) C. Coutant et al. CLINICAL CANCER RESEARCH
- A Genomic Predictor of Response and Survival Following Taxane-Anthracycline Chemotherapy for Invasive Breast Cancer
- (2011) Christos Hatzis JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Multifactorial Approach to Predicting Resistance to Anthracyclines
- (2011) Christine Desmedt et al. JOURNAL OF CLINICAL ONCOLOGY
- TP53 status for prediction of sensitivity to taxane versus non-taxane neoadjuvant chemotherapy in breast cancer (EORTC 10994/BIG 1-00): a randomised phase 3 trial
- (2011) Hervé Bonnefoi et al. LANCET ONCOLOGY
- Homogeneous Datasets of Triple Negative Breast Cancers Enable the Identification of Novel Prognostic and Predictive Signatures
- (2011) Thomas Karn et al. PLoS One
- High levels of the Mps1 checkpoint protein are protective of aneuploidy in breast cancer cells
- (2011) J. Daniel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Prognostic and Therapeutic Implications of Distinct Kinase Expression Patterns in Different Subtypes of Breast Cancer
- (2010) G. Bianchini et al. CANCER RESEARCH
- Targeting the Mitotic Checkpoint for Cancer Therapy with NMS-P715, an Inhibitor of MPS1 Kinase
- (2010) R. Colombo et al. CANCER RESEARCH
- Gene Pathways Associated With Prognosis and Chemotherapy Sensitivity in Molecular Subtypes of Breast Cancer
- (2010) Takayuki Iwamoto et al. JNCI-Journal of the National Cancer Institute
- Ki67 in breast cancer: prognostic and predictive potential
- (2010) Rinat Yerushalmi et al. LANCET ONCOLOGY
- Translating p53 into the clinic
- (2010) Chit Fang Cheok et al. Nature Reviews Clinical Oncology
- The Gene expression Grade Index: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1–98 trial
- (2009) Christine Desmedt et al. BMC Medical Genomics
- An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients
- (2009) Balazs Györffy et al. BREAST CANCER RESEARCH AND TREATMENT
- TTK/hMps1 Mediates the p53-Dependent Postmitotic Checkpoint by Phosphorylating p53 at Thr18
- (2009) Y.-F. Huang et al. MOLECULAR AND CELLULAR BIOLOGY
- Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
- (2009) Da Wei Huang et al. Nature Protocols
- Gene-Expression Signatures in Breast Cancer
- (2009) Christos Sotiriou et al. NEW ENGLAND JOURNAL OF MEDICINE
- Evaluation of Microarray Preprocessing Algorithms Based on Concordance with RT-PCR in Clinical Samples
- (2009) Balazs Gyorffy et al. PLoS One
- Elevating the frequency of chromosome mis-segregation as a strategy to kill tumor cells
- (2009) Aniek Janssen et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Meta-analysis of gene expression profiles related to relapse-free survival in 1,079 breast cancer patients
- (2008) Balazs Györffy et al. BREAST CANCER RESEARCH AND TREATMENT
- Sixteen-Kinase Gene Expression Identifies Luminal Breast Cancers with Poor Prognosis
- (2008) P. Finetti et al. CANCER RESEARCH
- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
- (2008) Da Wei Huang et al. NUCLEIC ACIDS RESEARCH
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started