Concept

Prognosis

Related publications (21)

Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients

Microarray gene expression data sets are jointly analyzed to increase statistical power. They could either be merged together or analyzed by meta-analysis. For a given ensemble of data sets, it cannot be foreseen which of these paradigms, merging or meta-a ...

Oxford Univ Press2016

Improvement of Neuroenergetics by Hypertonic Lactate Therapy in Patients with Traumatic Brain Injury Is Dependent on Baseline Cerebral Lactate/Pyruvate Ratio

Pierre Magistretti, Reto Meuli, Luc Pellerin

Energy dysfunction is associated with worse prognosis after traumatic brain injury (TBI). Recent data suggest that hypertonic sodium lactate infusion (HL) improves energy metabolism after TBI. Here, we specifically examined whether the efficacy of HL (3h i ...

Mary Ann Liebert2016

Colorectal cancer classification with differential prognosis and personalized therapeutic responses

Douglas Hanahan, Anguraj Sadanandam

The present invention relates to gene sets, the expression levels of which are useful for classifying colorectal tumors and predicting disease-free prognosis and response of patients to specific therapies that are either novel or currently available in the ...

2015

Gene expression mapping of histone deacetylases and co-factors, and correlation with survival time and 1H-HRMAS metabolomic profile in human gliomas

Johan Auwerx

Primary brain tumors are presently classified based on imaging and histopathological techniques, which remains unsatisfaying. We profiled here by quantitative real time PCR (qRT-PCR) the transcripts of eighteen histone deacetylases (HDACs) and a subset of ...

2015

Nanosensors for early cancer detection and for therapeutic drug monitoring

Francesco Stellacci

The use of nanotechnology for drug delivery in cancer therapy has raised high expectations. Additionally, the use of nanomaterials in sensors to extract and detect tumor specific biomarkers, circulating tumor cells, or extracellular vesicles shed by the tu ...

Future Medicine2015

Investigating the Optimal Size of Anticancer Nanomedicine

Li Tang, Hui Wang

Nanomedicines (NMs) offer new solutions for cancer diagnosis and therapy. However, extension of progression-free interval and overall survival time achieved by Food and Drug Administration-approved NMs remain modest. To develop next generation NMs to achie ...

2014

A colorectal cancer classification system that associates cellular phenotype and responses to therapy

Douglas Hanahan, Krisztian Homicsko, Anguraj Sadanandam, Stephan Wullschleger

Colorectal cancer (CRC) is a major cause of cancer mortality. Whereas some patients respond well to therapy, others do not, and thus more precise, individualized treatment strategies are needed. To that end, we analyzed gene expression profiles from 1,290 ...

Nature Publishing Group2013

MP2RAGE multiple sclerosis magnetic resonance imaging at 3 T

Rolf Gruetter, Tobias Kober, Delphine Ribes Lemay, Reto Meuli, Cristina Granziera

Objectives: Lesion detection and characterization in multiple sclerosis (MS) are an essential part of its clinical diagnosis and an important research field. In this pilot study, we applied the recently introduced two inversion-contrast magnetization-prepa ...

2012

Prediction of Survival and Risk Assessment Using Joint Analysis of Microarray Gene Expression Data

Haleh Yasrebi

Gene expression profiles have been widely used in molecular classification, diagnosis and prediction, particularly in the area of oncology where accurate and early diagnosis is needed for appropriate treatment. Avoiding under-/over-treatment when it is not ...

EPFL2010

Can survival prediction be improved by merging gene expression data sets?

Philipp Bucher, Haleh Yasrebi

BACKGROUND: High-throughput gene expression profiling technologies generating a wealth of data, are increasingly used for characterization of tumor biopsies for clinical trials. By applying machine learning algorithms to such clinically documented data set ...

Public Library of Science2009

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