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Mayo Clinic


Mayo oral cancer study shows full tumor genome

Mayo Clinic researchers have developed a novel approach for sequencing RNA to study cancer tumors, revealing alterations in gene expression driven by chromosomal regions of gain and loss. This technology allows for detailed analysis of the transcriptome, enabling better understanding of individualized medicine and potential therapeutic...

SourceMayo Clinic·JournalPLOS ONE·DateFeb 23, 2010

Mayo researchers find obesity key

Researchers have identified a molecular mechanism that controls energy expenditure in muscles and helps determine body weight. This discovery could lead to a new medical approach in treating obesity by targeting the ATP-sensitive potassium channel function in muscle tissue.

SourceMayo Clinic·JournalCell Metabolism·DateJan 5, 2010

Mayo Clinic researchers prove key cancer theory

Researchers demonstrate how aneuploidy, or abnormal number of chromosomes, causes cancer by eliminating tumor suppressor genes. The findings provide a new understanding of the mechanism underlying cancer development and may lead to targeted therapies.

SourceMayo Clinic·JournalCancer Cell·DateDec 7, 2009

New methods found useful for diagnosing myocarditis

Several new diagnostic methods, such as cardiac magnetic resonance imaging (MRI), are useful for diagnosing myocarditis. Endomyocardial biopsy is also used in certain cases. The study highlights the importance of these methods in improving diagnosis accuracy.

SourceMayo Clinic·JournalMayo Clinic Proceedings·DateNov 3, 2009

Researchers find room design can enhance patient care

Researchers at Mayo Clinic found that consultation room design can enhance patient care by improving collaboration between clinicians and patients. The study, which included 63 pairs of patients and doctors, showed that experimental rooms with side-by-side seating increased clinician-patient information sharing and patient satisfaction.

SourceMayo Clinic·JournalHERD Health Environments Research & Design Journal·DateOct 28, 2009

Novel breast tissue feature may predict woman's cancer risk

Mayo Clinic researchers found that certain structural features within breast tissue can indicate a woman's individual cancer risk. The percentage of acini present per lobule at a given age indicates cancer risk. This method is more accurate in predicting risk for an individual than the Gail model.

SourceMayo Clinic·JournalJournal of Clinical Oncology·DateOct 5, 2009