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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.
Tummers, Fokkedien H M P; Bazelmans, Maria K; Jansen, Frank Willem; Blikkendaal, Mathijs D; Vahrmeijer, Alexander L; Kuppen, Peter J K.
Affiliation
  • Tummers FHMP; Department of Gynecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands. Electronic address: f.h.m.p.tummers@lumc.nl.
  • Bazelmans MK; Department of Gynecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Jansen FW; Department of Gynecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Blikkendaal MD; Nederlandse Endometriose Kliniek, Reinier de Graaf Hospital, 2625 AD Delft, The Netherlands.
  • Vahrmeijer AL; Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
  • Kuppen PJK; Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Eur J Obstet Gynecol Reprod Biol ; 288: 114-123, 2023 Sep.
Article in En | MEDLINE | ID: mdl-37506597
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endometriosis Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Eur J Obstet Gynecol Reprod Biol Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endometriosis Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Eur J Obstet Gynecol Reprod Biol Year: 2023 Document type: Article