Please confirm you are human (Sign Up for free to never see this)
← Back to Search
A Signature Of Chromosomal Instability Inferred From Gene Expression Profiles Predicts Clinical Outcome In Multiple Human Cancers
S. Carter, A. Eklund, I. Kohane, L. Harris, Z. Szallasi
Published 2006 · Biology, Medicine
Save to my Library
Download PDFAnalyze on Scholarcy
We developed a computational method to characterize aneuploidy in tumor samples based on coordinated aberrations in expression of genes localized to each chromosomal region. We summarized the total level of chromosomal aberration in a given tumor in a univariate measure termed total functional aneuploidy. We identified a signature of chromosomal instability from specific genes whose expression was consistently correlated with total functional aneuploidy in several cancer types. Net overexpression of this signature was predictive of poor clinical outcome in 12 cancer data sets representing six cancer types. Also, the signature of chromosomal instability was higher in metastasis samples than in primary tumors and was able to stratify grade 1 and grade 2 breast tumors according to clinical outcome. These results provide a means to assess the potential role of chromosomal instability in determining malignant potential over a broad range of tumors.
This paper references
Global gene expression profiling of pleural mesotheliomas: overexpression of aurora kinases and P16/CDKN2A deletion as prognostic factors and critical evaluation of microarray-based prognostic prediction.
Fernando López-Ríos (2006)
Loss of the forkhead transcription factor FoxM1 causes centrosome amplification and mitotic catastrophe.
D. Wonsey (2005)
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors
J. Pollack (2002)
Karyotypic complexity of the NCI-60 drug-screening panel.
A. Roschke (2003)
PRC1 is a microtubule binding and bundling protein essential to maintain the mitotic spindle midzone
C. Mollinari (2002)
Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis.
H. Phillips (2006)
A molecular signature of metastasis in primary solid tumors
S. Ramaswamy (2003)
Gene expression profiling predicts clinical outcome of breast cancer
L. J. Veer (2002)
Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.
C. Sotiriou (2006)
Gene-expression profiles to predict distant metastasis of lymph-nodenegative primary breast cancer
Y Wang (2005)
Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma
Levi A. Garraway (2005)
Identification of genes periodically expressed in the human cell cycle and their expression in tumors.
M. Whitfield (2002)
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
M. Shipp (2002)
FoxM1 dances with mitosis
R. Costa (2005)
Oncogenic pathway signatures in human cancers as a guide to targeted therapies
A. Bild (2006)
The current clinical value of genomic instability.
L. Diaz (2005)
High-resolution genomic profiles of human lung cancer.
G. Tonon (2005)
Common markers of proliferation
M. Whitfield (2006)
Prediction of central nervous system embryonal tumour outcome based on gene expression
Scott L. Pomeroy (2002)
Activation of the DNA damage checkpoint and genomic instability in human precancerous lesions
V. Gorgoulis (2005)
Mechanisms leading to chromosomal instability.
S. Gollin (2005)
repp86: A human protein associated in the progression of mitosis.
H. Heidebrecht (2003)
Gene Expression Profiling of Gliomas Strongly Predicts Survival
W. Freije (2004)
Chromosome segregation and genomic stability.
V. Draviam (2004)
Essential roles of KIF4 and its binding partner PRC1 in organized central spindle midzone formation
Y. Kurasawa (2004)
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.
A. Bhattacharjee (2001)
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.
C. Nutt (2003)
Genetic instabilities in human cancers
C. Lengauer (1998)
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
Y. Wang (2005)
This paper is referenced by
Chromosomal instability determines taxane response
C. Swanton (2009)
5 – Prediction of Radiation Response
Adrian C. Begg (2010)
Title Transcriptional dynamics of immortalized humanmesenchymal stem cells during transformation
Masao Takeuchi (2018)
Characterization of breast cancer by array comparative genomic hybridization.
J. Climent (2007)
Protein kinase C β inhibition by enzastaurin leads to mitotic missegregation and preferential cytotoxicity toward colorectal cancer cells with chromosomal instability (CIN)
Djamila Ouaret (2014)
Efficacy of neoadjuvant Cisplatin in triple-negative breast cancer.
D. Silver (2010)
Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity
F. Chibon (2010)
Genomic Instability and Colon Carcinogenesis: From the Perspective of Genes
C. Rao (2013)
p31comet-Induced Cell Death Is Mediated by Binding and Inactivation of Mad2
Hyunjin Shin (2015)
Identification of Essential Genes in Hepatocellular Carcinomas using CRISPR Screening
A. Sheel (2019)
Effect of Aromatase Inhibition on Functional Gene Modules in Estrogen Receptor–Positive Breast Cancer and Their Relationship with Antiproliferative Response
Q. Gao (2014)
sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors
Wenhan Chen (2017)
Synthetic Lethal Strategy Identifies a Potent and Selective TTK and CLK1/2 Inhibitor for Treatment of Triple-Negative Breast Cancer with a Compromised G1–S Checkpoint
D. Zhu (2018)
Plk1 overexpression suppresses tumor development by inducing chromosomal instability
G. de Cárcer (2018)
Difference Makers: Chromosomal Instability versus Aneuploidy in Cancer.
R. H. van Jaarsveld (2016)
Epithelial–Mesenchymal Transition Predicts Polo-Like Kinase 1 Inhibitor–Mediated Apoptosis in Non–Small Cell Lung Cancer
R. Ferrarotto (2015)
Mechanisms of B-Myb oncogenicity in ovarian cancer
Audra N. Iness (2018)
Genome Instability and γH2AX
Anastasios Georgoulis (2017)
Targeting p38α Increases DNA Damage, Chromosome Instability, and the Anti-tumoral Response to Taxanes in Breast Cancer Cells.
B. Cánovas (2018)
Diagnostic and Prognostic Cancer Biomarkers: From Traditional to Systems Approaches
F. Buffa (2011)
PIGN gene expression aberration is associated with genomic instability and leukemic progression in acute myeloid leukemia with myelodysplastic features
E. K. Teye (2017)
International Doctorate Program in Molecular Oncology and Endocrinology Doctorate School in Molecular Medicine
R. D. Mattia (2007)
Detection of structural variations during liver cancer progression
S. Sinha (2015)
Autophagy regulates the survival of cells with chromosomal instability
D. Liu (2016)
Sister chromatid cohesion defects are associated with chromosome instability in Hodgkin lymphoma cells
Babu V. Sajesh (2013)
FOXM1 expression predicts the prognosis in hepatocellular carcinoma patients after orthotopic liver transplantation combined with the Milan criteria.
Hongcheng Sun (2011)
Identification of osteosarcoma driver genes by integrative analysis of copy number and gene expression data
M. Kuijjer (2012)
Luminal A and luminal B (HER2 negative) subtypes of breast cancer consist of a mixture of tumors with different genotype
M. Yanagawa (2011)
Cancer gene expression signatures - the rise and fall?
F. Chibon (2013)
Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer
Z. Hu (2016)
Gut Microbiota and Cancer: From Pathogenesis to Therapy
Silvia Vivarelli (2019)
19q12 amplified and non-amplified subsets of high grade serous ovarian cancer with overexpression of cyclin E1 differ in their molecular drivers and clinical outcomes.
Diar Aziz (2018)See more