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Endometrial cancer prognosis correlates with the expression of L1CAM and miR34a biomarkers

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, July 2018
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Title
Endometrial cancer prognosis correlates with the expression of L1CAM and miR34a biomarkers
Published in
Journal of Experimental & Clinical Cancer Research, July 2018
DOI 10.1186/s13046-018-0816-1
Pubmed ID
Authors

Giacomo Corrado, Valentina Laquintana, Rossella Loria, Mariantonia Carosi, Laura de Salvo, Isabella Sperduti, Ashanti Zampa, Lucia Cicchillitti, Giulia Piaggio, Giuseppe Cutillo, Rita Falcioni, Enrico Vizza

Abstract

Patients with endometrial cancer (EC) and presumably with good prognosis may develop a recurrence indicating that the classification of this tumor is still not definitive and that new markers are needed to identify a subgroup at risk of relapse. The cell adhesion molecule L1CAM is highly expressed in several human carcinomas and has recently been described as a new marker for endometrial and ovarian carcinomas. The aim of this study was to determine the relevance of L1CAM in recurrent EC. In this work we have analyzed, by immunohistochemical and RT-qPCR analysis, the expression of L1CAM in a cohort of 113 endometrial cancers at different stages, which 50% have relapsed. As a predictor of good outcome, the tumors were also analyzed for the expression of miR-34a, a post-transcriptional regulator of L1CAM. Among metastatic EC, the highest levels (60%) and the median level (24%) of L1CAM in tumors correlate with the progression, suggesting that the expression of this molecule is linked to the tumor component most involved in metastatic processes. We also found an inverse correlation between miR-34a and L1CAM protein expression, suggesting that miR-34a is a positive prognostic marker of EC. Our results demonstrate the expression of L1CAM and miR-34a in EC as prognostic factors that identify subgroup of patients at high risk of recurrence suggesting for them more aggressive schedules of treatment.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 14%
Researcher 5 14%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 6 17%
Unknown 10 29%
Readers by discipline Count As %
Medicine and Dentistry 13 37%
Biochemistry, Genetics and Molecular Biology 3 9%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Sports and Recreations 1 3%
Other 3 9%
Unknown 13 37%