Topic: ESOPRS 2021 ePoster sessions
Time: Sep 17, 2021 16:00 Amsterdam, Berlin, Rome, Stockholm, Vienna, 15:00 London
The zoom session will be a MEETING. Please turn off your camera and mic, unless prompted by the moderators during Q&A. When you enter the meeting there will be 2 BREAKOUT ROOMS. Please choose the appropriate room to join once you have joined the meeting.
The link details are below (you need to be logged in)
You are currently not logged in. If you have an account on this website please login to your account. Not registered yet? Signup here
(plain text version here)
Diagnosis of orbital inflammatory diseases by gene expression analysis
Author: Michael Oeverhaus
ePoster Number: 131
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.
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).
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.
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.
|First name||Last name||Base Hospital / Institution|
Abstract ID: 21-211