Analysis of biomarker expression in severe endometriosis and determination of possibilities for targeted intraoperative imaging

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This study evaluated seven biomarkers in endometriotic tissue and found EpCAM, FR-α, and VEGF-A to be the most promising for targeted intraoperative imaging.

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Abstract

OBJECTIVE: To evaluate the expression of biomarkers in endometriotic tissue in order to determine the most promising molecules for targeted intraoperative imaging. METHODS: Tissue samples were obtained from 18 patients with endometriosis. The intensity and pattern of expression of the following biomarkers were assessed by immunohistochemistry: C-X-C chemokine receptor type 4 (CXCR4), epithelial cell adhesion molecule (EpCAM), estrogen receptor (ER), folate receptor α (FR-α), hypoxia-inducible factor 1-α (HIF-1α), progesterone receptor (PR), and vascular endothelial growth factor A (VEGF-A). The Target Selection Criteria scoring system was used to select the most promising biomarkers for intraoperative imaging. RESULTS: Expression of CXCR4, EpCAM, ER, PR, and VEGF-A was scored as strong in endometriotic epithelium. Expression of FR-α was detected in 94.4% of samples, whereas HIF-1α was expressed in just 5.6% of samples. Of note, CXCR4, ER, and VEGF-A were also expressed in surrounding healthy tissue, thus reducing the target-to-background ratio. CONCLUSION: Of the 7 biomarkers assessed in the present study, EpCAM, FR-α, and VEGF-A seem the most promising for targeted intraoperative imaging of endometriosis.

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Condition tags

endometriosis

MeSH descriptors

Antigens, Neoplasm Cell Adhesion Molecules Endometriosis Folate Receptor 1 Vascular Endothelial Growth Factor A Adult Adult Antigens, Neoplasm Antigens, Neoplasm Biomarkers Biomarkers Biomarkers Cell Adhesion Molecules Cell Adhesion Molecules Endometriosis Endometriosis Epithelial Cell Adhesion Molecule Epithelial Cell Adhesion Molecule Female Female

Citation neighborhood (2-hop)

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (26)

Cited by (21)

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