PLEKHS1 Over-Expression is Associated with Metastases and Poor Outcomes in Papillary Thyroid Carcinoma

Pleckstrin homology domain containing S1 (PLEKHS1) is a poorly characterized factor, although its promoter mutations were identified in human malignancies including thyroid carcinoma (TC). This study was designed to determine PLEKHS1 promoter hotspot mutations in papillary and anaplastic thyroid car...

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Veröffentlicht in:CANCERS 2020-08, Vol.12 (8), p.2133
Hauptverfasser: Xing, Xiangling, Mu, Ninni, Yuan, Xiaotian, Wang, Na, Juhlin, C. Christofer, Strååt, Klas, Larsson, Catharina, Xu, Dawei
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Sprache:eng
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Zusammenfassung:Pleckstrin homology domain containing S1 (PLEKHS1) is a poorly characterized factor, although its promoter mutations were identified in human malignancies including thyroid carcinoma (TC). This study was designed to determine PLEKHS1 promoter hotspot mutations in papillary and anaplastic thyroid carcinomas (PTCs and ATCs) and to evaluate if PLEKHS1 expression influences clinical outcome. The PLEKHS1 promoter mutation was observed in 1/93 of PTCs and none of 18 ATCs in our cohort; however, PLEKHS1 expression was aberrantly up-regulated in TCs compared to adjacent non-tumorous thyroid tissues. ATC tumors, an undifferentiated TC, exhibited the highest PLEKHS1 expression. In both TCGA and present cohorts of PTCs, PLEKHS1 gene methylation density was inversely correlated with its mRNA expression and demethylation at the PLEKHS1 locus occurred at two CpGs. Higher PLEKHS1 expression was associated with lymph node and distant metastases, and shorter overall and disease-free survival in our cohort of PTC patients. Importantly, PLEKHS1 over-expression predicted shorter patient survival in PTCs lacking TERT promoter mutations. Cellular experiments showed that PLEKHS1 over-expression enhanced AKT phosphorylation and invasiveness. Collectively, the PLEKHS1 gene demethylation causes its over-expression in PTCs. PLEKHS1 promotes aggressive behavior of TCs possibly by increasing AKT activity, and its over-expression predicts poor patient outcomes.
ISSN:2072-6694
2072-6694
DOI:10.3390/cancers12082133