Improved Prediction Of Prostate Cancer
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."
Healthcare professionals are increasingly turning to the use of genomic techniques to understand why some people are predisposed to certain conditions such as infections, addictions, and illnesses like diabetes, heart disease, and schizophrenia, while others are not. By employing these techniques, researchers and physicians could soon offer patients a more tailored and individual medical treatment program. The launch of the open access journal BMC Medical Genomics gives these professionals immediate and free access to research articles, aiding in the development of new and better ways to improve health and prevent diseases.
Publisher BioMed Central recognizes that genomic approaches to medicine will contribute greatly to the delivery of personalized medical treatment in the future and allow a better understanding of the molecular basis of diseases. The publisher is committed to being at the forefront of research published in the field of genomics, with developments in genome-scale population genetics, epigenetics, personalized medicine and pharmacogenomics all planned for the future.
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Article adapted by Start Sanatate from original press release.
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1. Biomarker Expression Patterns That Correlate With High Grade Features in Treatment Naive, Organ-confined Prostate Cancer
Timothy J McDonnell, Nikhil S Chari, Jeong Hee Cho-Vega, Patricia Troncoso, Xuemei Wang, Carlos E Bueso-Ramos, Kevin Coombes, Shawn Brisbay, Remigio Lopez, George Prendergast, Christopher Logothetis and Kim-Anh Do
BMC Medical Genomics (in press)
Click here to access the published article. All articles are available free of charge, according to BioMed Central's open access policy.
2. BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
BMC Medical Genomics is now accepting submissions, and we would like to invite you to submit your next manuscript using the online submission system. BMC Medical Genomics (ISSN 1755- 8794) will be indexed/tracked/covered by PubMed, BIOSIS, CAS, Scopus, EMBASE, and Google Scholar.
3. BioMed Central (http://www.biomedcentral/) is an independent online publishing house committed to providing immediate access without charge to the peer-reviewed biological and medical research it publishes. This commitment is based on the view that open access to research is essential to the rapid and efficient communication of science.
Source: Charlotte Webber
BioMed Central
Îmbunãtãþitã de predicþie a cancerului de prostatã - Improved Prediction Of Prostate Cancer - articole medicale engleza - startsanatate