To Örebro University

Technologies for RNA detection are evolving rapidly and gives an op-portunity for discovery of new markers for early detection of complex diseases. Today in clinical work we rely on signs and symptoms in com-bination with the measurement of protein levels for diagnosis. The quick turnaround time of mRNA synthesis may provide an earlier diagnostic signal than protein-based biomarkers assays, in acute dramatic condi-tions such as acute mesenteric ischemia (AMI), for early detection of cancer, as prognostic tool in cancer treatment and as an aid in difficult diagnosis of unknown origin.

The main goals of this thesis was to apply a whole genome approach to study different complex diseases to evaluate the applicability of RNA as a diagnostic or prognostic marker for disease, preferably from an easily accessible source such as peripheral blood. This was investigated in an animal model with induced AMI, a cohort of ovarian cancer patients and in a single-patient study of a girl with a severe inflammatory syn-drome.

Through this thesis we have gained insight into how gene expression is regulated in ischemic intestinal tissue.

We found that a peripheral blood test can distinguish between ovarian cancer patients with or without residual tumour mass after surgery with the help of expression analysis of six genes. We also found that gene expressions of three genes can predict overall survival in peripheral whole blood from ovarian cancer patients. And that gene expression profiles indeed can significantly distinguish between two groups of high and low risk ovarian cancer. In the single-patient study, we tried but failed to device a successful treatment before it was too late. Neverthe-less, the things we learned and the case studies that were published may serve as a diagnostic tool for clinicians facing similar syndromes.