Microarray technology could be used to tailor therapy according to the individual, and prevent breast cancer patients from having to undergo painful unsuccessful therapies. In a study published in the journal Breast Cancer Research, researchers analysed tumour tissue samples and identified a group of 64 genes that can be used to predict a patients response in the five years after adjuvant therapy for breast cancer. Identifying patients whose breast tumours express these genes could potentially be used to predict which patients would not benefit from adjuvant therapy, and avoid patients being given therapies with the potential of causing more harm than good.
A team of researchers led by Jonas Bergh from the Karolinska Institutet in Stockholm, Sweden, analysed the gene expression profiles of 159 breast cancer patients using DNA microarray analysis. From these samples they identified the genetic signatures shown by 38 patients who had a poor prognosis - defined as relapse or death from any cause within 5 years. The remaining 121 patients were defined as the good prognosis group. The researchers also used gene expression profiling to separate patients who did well with and without adjuvant therapy, and those whose tumours failed to respond to treatment.
An analysis of the genes expressed in the tumours of all 159 patients showed that 64 genes were used to separate the patients with good and poor prognoses. The researchers then tested the predictive value of the group of 64 genes compared with three currently used clinical markers. Using the expression patterns of the 64 genes identified by the researchers gave significantly better (P=0.007) prediction rates than histological grading, tumour stage and age - which are all accepted prognostic markers for breast cancer.
Juliette Savin | EurekAlert!
Researchers target protein that protects bacteria's DNA 'recipes'
21.08.2018 | University of Rochester
Protein interaction helps Yersinia cause disease
21.08.2018 | Schwedischer Forschungsrat - The Swedish Research Council
There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.
The low current is considered one of the biggest hurdles in the development of solid-state batteries. It is the reason why the batteries take a relatively long...
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
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