For the first time, researchers appear to be able to use a comprehensive panel of genetic variants to predict how a patient with esophageal cancer will respond to a spectrum of cancer treatments.
At the annual meeting of the American Association for Cancer Research (AACR), researchers from The University of Texas M. D. Anderson Cancer Center report that six different gene variants can predict an improved outcome in patients treated with two different chemotherapy drugs and/or with radiation therapy.
For example, the researchers say that a combination of several gene variants in patients treated with one type of chemotherapy (5-FU) more than doubled survival to 51 months, compared to 25 months in patients treated with the same drug who did not have these variants.
The researchers also discovered an additive effect between these genes and others that conferred smaller advantages. The higher the number of beneficial variants the patient had, the longer survival was, they found.
As promising as the study is, significant hurdles remain before these findings can be incorporated into treatment, Wu says. Because more data are needed to support their findings, the investigators are accumulating a cohort of 800 esophageal patients from which they can draw a comprehensive genetic profile using blood samples.
If successful, such pathway-based analyses can be conducted for the wide variety of cancers that are treated with 5FU, cisplatin and radiation, as well as other drug treatments, Wu says.
Nancy Jensen | EurekAlert!
Protein interaction helps Yersinia cause disease
21.08.2018 | Schwedischer Forschungsrat - The Swedish Research Council
Nanobot pumps destroy nerve agents
21.08.2018 | American Chemical Society
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....
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
21.08.2018 | Power and Electrical Engineering
21.08.2018 | Life Sciences
21.08.2018 | Medical Engineering