Expression of L1CAM in curettage or high L1CAM level in preoperative blood samples predicts lymph node metastases and poor outcome ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-09-05

AUTHORS

Ingvild L Tangen, Reidun K Kopperud, Nicole CM Visser, Anne C Staff, Solveig Tingulstad, Janusz Marcickiewicz, Frédéric Amant, Line Bjørge, Johanna MA Pijnenborg, Helga B Salvesen, Henrica MJ Werner, Jone Trovik, Camilla Krakstad

ABSTRACT

BACKGROUND: Several studies have identified L1 cell adhesion molecule (L1CAM) as a strong prognostic marker in endometrial cancer. To further underline the clinical usefulness of this biomarker, we investigated L1CAM as a predictive marker for lymph node metastases and its prognostic impact in curettage specimens and preoperative plasma samples. In addition, we aimed to validate the prognostic value of L1CAM in hysterectomy specimen. METHODS: Immunohistochemical staining of L1CAM was performed for 795 hysterectomy and 1134 curettage specimen from endometrial cancer patients. The L1CAM level in preoperative blood samples from 372 patients was determined using ELISA. RESULTS: Expression of L1CAM in curettage specimen was significantly correlated to L1CAM level in corresponding hysterectomy specimen (P<0.001). Both in curettage and preoperative plasma samples L1CAM upregulation was significantly associated with features of aggressive disease and poor outcome (P<0.001). The L1CAM was an independent predictor of lymph node metastases, after correction for curettage histology, both in curettage specimen (P=0.002) and plasma samples (P=0.048). In the hysterectomy samples L1CAM was significantly associated with poor outcome (P<0.001). CONCLUSIONS: We demonstrate that preoperative evaluation of L1CAM levels, both in curettage or plasma samples, predicts lymph node metastases and adds valuable information on patient prognosis. More... »

PAGES

840

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2017.235

DOI

http://dx.doi.org/10.1038/bjc.2017.235

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090905625

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28751757


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