Topic: ESOPRS 2021 ePoster sessions
Time: Sep 17, 2021 16:00 Amsterdam, Berlin, Rome, Stockholm, Vienna, 15:00 London
(plain text version here)
Diagnosis of orbital inflammatory diseases by gene expression analysis
Author: Michael Oeverhaus
ePoster Number: 131
Purpose
Non-specific orbital inflammation (NSOI) and IgG4 related orbital disease (IgG4-ROD) are not always easy to differentiate histologically and clinically. Furthermore, it is still uncertain how and if chronic inflammatory inflammation, like IgG4-ROD, can lead to Mucosa-associated lymphoid tissue (MALT) lymphoma. Therefore, we aimed to evaluate the diagnostic value of gene expression analysis to differentiate orbital autoimmune diseases and elucidate genetic overlaps.
Methods
First, we established a database of NSOI, IgG4 ROD and MALT patients of our orbital center (2000-2019). In a consensus process three typical patients of the above mentioned three groups (mean age 56,4±17y) at similar locations were selected. Afterwards, RNA was isolated with the RNeasy FFPE kit (Qiagen) using the archived paraffin-embedded tissue. The RNA was then used for Nanostrings (nCounter®) panels including 1364 genes, which enables high-throughput and reliable RNA analysis. The most significantly up- and downregulated genes were used for a machine learning algorithm to distinguish entities. All statistical analyses were calculated using the Ri386 statistical programming environment (v4.0.3).
Results
Using a set of marker genes the decision-tree-based algorithm could distinguish between the three entities with a high probability (p<0.0001). Interestingly, lymphoma showed a characteristic overlap with IgG4-ROD and NSOI. In contrast, IgG4-ROD shared only one gene with NSOI.
Conclusion
Genetic expression analysis has the potential for faster and more securely differentiation between NSOI and IgG4-ROD. MALT lymphoma and IgG4-ROD showed markedly more genetic similarities compared to NSOI, which points towards possible progression of IgG4-ROD to lymphoma.
Additional Authors
| First name | Last name | Base Hospital / Institution |
|---|---|---|
| K | Al-Gazzawi | |
| S | Baum | |
| C | Mohr | |
| N | Bechrakis | |
| F | Mairinger | |
| S | Philipp | |
| A | Eckstein |
Abstract ID: 21-211