Study Reveals Improved Prediction of Prostrate Cancer
News Feb 04, 2008
Scientists are another step closer to understanding why some people suffer from life-threatening diseases such as cancer. Research published in the new online open access journal BMC Medical Genomics reveals a model that may enable more accurate prediction of the risk of prostate cancer progression.
By combining the Gleason score (a pathological score given to prostate cancer based on its microscopic appearance) with structured data from biomarker assessments, the researchers have developed a model for predicting the likelihood of prostate cancer virulence.
The research team from the University of Texas M. D. Anderson Cancer Center, led by Dr. Timothy McDonnell, used tissue microarrays with specimens covering the spectrum of low to high grade prostate cancer, to address several questions of clinical and pathological interest.
The biomarkers evaluated in this study comprised well-characterized cell cycle and cell death regulators known to be variably expressed by prostate cancers. Significant differences in the molecular signatures were found among these varying grades of tumors, and a biostatistical model was developed using a limited number of molecular markers to enable a more accurate prediction of the risk of prostate cancer progression.
“We believe these findings will be of potential benefit to a substantial portion of the patient population diagnosed with early prostate cancer by providing valuable information regarding the risk of disease progression” says McDonnell. “With this type of information patients could be more appropriately managed based on their individual risk profile.”
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
Single Gene Change in Gut Bacteria Alters Host MetabolismNews
Scientists have found that deleting a single gene in a particular strain of gut bacteria causes changes in metabolism and reduced weight gain in mice. The research provides an important step towards understanding how the microbiome – the bacteria that live in our body – affects metabolism.READ MORE
Gotta Sample 'Em All! Underwater Pokéball Captures Ocean LifeNews
A new device developed by Wyss Institute reseachers safely traps delicate sea creatures inside a folding polyhedral enclosure and lets them go without harm using a novel, origami-inspired design. The ultimate aim is to allow the sea creatures to be (gently) analyzed in high detail.READ MORE
International Conference on Neurooncology and Neurosurgery
Sep 17 - Sep 18, 2018