Biomarker identification for endometriosis as a target for real-time intraoperative fluorescent imaging
A new approach using transcriptomic analysis to broaden the search for potential biomarkers
Fokkedien H.M.P. Tummers (Leiden University Medical Center)
Maria K. Bazelmans (Leiden University Medical Center)
Frank Willem Jansen (Leiden University Medical Center, TU Delft - Mechanical Engineering)
Mathijs D. Blikkendaal (Reinier de Graaf Gasthuis)
Alexander L. Vahrmeijer (Leiden University Medical Center)
Peter J.K. Kuppen (Leiden University Medical Center, TU Delft - Mechanical Engineering)
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Abstract
Intra-operative fluorescent imaging of endometriosis could help to optimize surgical treatment. Potential biomarkers to use as target for endometriosis-binding fluorescent probes were identified using a new five-phase transcriptomics-based approach to broaden the search for biomarkers. Using publicly available datasets, a differentially expressed gene (DEG) analysis was performed for endometriosis versus surgically relevant surrounding tissue (peritoneum, bladder, sigmoid, rectum, transverse colon, small intestine, vagina, and fallopian tubes) for which data was available. The remaining relevant surrounding tissues were analyzed for low expression levels. DEGs with a predicted membranous or extracellular location and with low expression levels in surrounding tissue were identified as candidate targets. Modified Target Selection Criteria were used to rank candidate targets based on the highest potential for use in fluorescent imaging. 29 potential biomarkers were ranked, resulting in Folate receptor 1 as the most potential biomarker. This is a first step towards finding a fluorescent tracer for intra-operative visualization of endometriosis. Additionally, this approach, using transcriptomics analysis to identifying candidate targets for a specific type of tissue for use in fluorescence-guided surgery could be translated to other surgical fields. Tweetable abstract: A new approach using transcriptomics analysis is shown to identify candidate targets for intra-operative fluorescent imaging for endometriosis, resulting in 29 potential candidates.
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