A Gene Expression Based Blood Test for Rheumatic Disease Diagnosis
Agency: Department of Health and Human Services
Agency Tracking Number: AR055855
Phase: Phase I
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: N/A
Solicitation Number: PHS2007-2
Small Business Information
RILEY GENOMICS, INC.
755 RESEARCH PARKWAY, SUITE 435, OKLAHOMA CITY, OK, 73014
HUBZone Owned: Y
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Phone: () -
Phone: (405) 313-6121
AbstractDESCRIPTION (provided by applicant): Clinical dilemma: Recent advances in biologic therapies for rheumatic diseases provide a means for more profound disease management. Proper diagnosis is a necessary aspect of choosing the proper biologic therapy. While disease diagnosis, based on clinical findings and laboratory tests, is effective in a significant number of patients, it can be problematic in patients with early disease, mild symptoms, or unclear presentation, leading to delayed or inappropriate treatme nt with poor patient outcomes and/or exposures to unnecessary drug toxicities. This problem is due in part to limitations of specificity and sensitivity of current rheumatology diagnostic laboratory tests. Many of these tests are designed to include or rul e out one disease, which may be inadequate to obtain a diagnosis if the results are negative. Our preliminary data suggest that a single blood test can be developed which is capable of sensitive and specific disease diagnosis of many common rheumatic disea ses using gene expression profiling of peripheral blood. We also have data suggesting that this multi-disease test is effective in patients with early disease prior to full clinical differentiation and may aid in guiding earlier treatment which can dramati cally improve outcomes. Approach: To assess the potential of gene expression-based diagnostic testing, clinical samples were collected from a cohort of patients with definitive forms of inflammatory disease, and broad-based gene expression profiling was performed. Multivariate algorithms identified 38 genes that distinguished controls and the four inflammatory diseases tested with high specificity and sensitivity. We have subsequently collected RNA from a second larger patient cohort with sufficient size to power a study to distinguish among a set of rheumatic diseases that can be difficult to distinguish, namely rheumatoid arthritis, osteoarthritis, systemic lupus erythematosus, and ankylosing spondylitis. Biostatistical analyses of gene expression profi les will allow us to translate these findings into two high throughput clinical tests, the first based on gene expression results and the second based on serum protein biomarkers. Finally, we will assess the prognostic power of gene expression profiling by examining results from patients early in their disease cycle with undifferentiated arthritis to determine who is likely to develop erosive disease and who is likely to go into remission. These findings will allow physicians to use more proactive forms of therapy in early undifferentiated arthritis to delay onset of erosive disease and to use less expensive drugs with fewer side effects for patients that are likely to remit. PUBLIC HEALTH RELEVANCE: This study will identify novel blood markers (biomarkers) for some of the more common forms of rheumatic diseases. These biomarkers will be used by physicians to accurately diagnose these diseases and to help distinguish patients who are more likely to develop severe forms of disease from those likely to go into remission. Earlier diagnosis and treatment are linked to better outcome in patients.
* information listed above is at the time of submission.