2018
DOI: 10.1186/s13046-018-0816-1
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Endometrial cancer prognosis correlates with the expression of L1CAM and miR34a biomarkers

Abstract: BackgroundPatients 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.MethodsIn th… Show more

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Cited by 41 publications
(27 citation statements)
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References 29 publications
(31 reference statements)
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“…MiRNA-34a is one of those miRNAs which are involved and exert several roles in EC [ 58 61 ]. For instance, miR-34a is down-regulated in EC in comparison with normal tissue, and this down-regulation is linked with a poorer prognosis [ 60 ].…”
Section: Effects Of Curcumin On Mirnas Involved In Ecmentioning
confidence: 99%
“…MiRNA-34a is one of those miRNAs which are involved and exert several roles in EC [ 58 61 ]. For instance, miR-34a is down-regulated in EC in comparison with normal tissue, and this down-regulation is linked with a poorer prognosis [ 60 ].…”
Section: Effects Of Curcumin On Mirnas Involved In Ecmentioning
confidence: 99%
“…Endometrioid endometrial cancer is estrogen-dependent and characterized by a series of genetic mutations in mismatch repair genes or PTEN tumor suppressor genes. [ 2 ] The endometrium in endometrioid endometrial cancer shows endometrioid hyperplasia, and patients usually experience favorable outcomes. The histological and pathogenetic features of non-endometrioid endometrial cancer are considerably different from those of endometrioid endometrial cancer.…”
Section: Introductionmentioning
confidence: 99%
“…Along with the development of next-generation sequencing, a large number of differentially expressed genes (DEGs) have been discovered between EC tissue and normal endometrium tissue, which have been applied to characterize EC into four subtypes (Church et al, 2013). Furthermore, a few DEGs can be used as biomarkers for EC risk stratification and prognosis (O’mara et al, 2016; Corrado et al, 2018). However, only a few studies have conducted a comprehensive analysis of DEGs related to risk judgment and prognosis of EC.…”
Section: Introductionmentioning
confidence: 99%