Scientists at the National Cancer Institute (NCI), part of the National Institutes of Health, have created a model that predicts the survival of follicular lymphoma patients based on the molecular characteristics of their tumors at diagnosis. The model is based on two sets of genes--called survival-associated signatures--whose activity was found to be associated with good or poor prognosis for patients with the cancer. The scientists results, to be published in the November 19, 2004, New England Journal of Medicine*, suggest that immune cells infiltrating follicular lymphoma tumors have an important impact on survival--both signatures came from such immune cells.
The progression rate of follicular lymphoma, the most common non-Hodgkin lymphoma, varies widely. "In some patients the disease progresses slowly over many years, whereas in others progression is rapid, with the cancer transforming into aggressive lymphoma and leading to early death," explained principle investigator Louis M. Staudt, M.D., Ph.D., of NCIs Center for Cancer Research. "Understanding the molecular causes of such differences in survival could provide a more accurate method to determine patient risk, which could be used to guide treatment and may suggest new therapeutic approaches."
To create their model, Staudt and associates used follicular lymphoma biopsies taken from 191 untreated patients. The biopsies were taken between 1974 and 2001 and came from North American and European institutions that are part of the NCI-sponsored Lymphoma/Leukemia Molecular Profiling Project**. Following their biopsies, all patients received standard treatments. The NCI scientists examined their subsequent medical records to determine survival. Biopsies were divided into two groups balanced for survival and institution: 95 went into a group used to uncover gene expression patterns associated with survival; the other 95 were used to test the predictive power of these patterns.
NCI Press Officers | EurekAlert!
22.02.2018 | Albert-Ludwigs-Universität Freiburg im Breisgau
Separate brain systems cooperate during learning, study finds
22.02.2018 | Brown University
Quantum computers may one day solve algorithmic problems which even the biggest supercomputers today can’t manage. But how do you test a quantum computer to...
For the first time, a team of researchers at the Max-Planck Institute (MPI) for Polymer Research in Mainz, Germany, has succeeded in making an integrated circuit (IC) from just a monolayer of a semiconducting polymer via a bottom-up, self-assembly approach.
In the self-assembly process, the semiconducting polymer arranges itself into an ordered monolayer in a transistor. The transistors are binary switches used...
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.
But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...
Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.
The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
22.02.2018 | Life Sciences
22.02.2018 | Physics and Astronomy
22.02.2018 | Earth Sciences