Prediction of Neoplastic Transformation of Hydatidiform Mole: Current Evidence

被引:1
作者
Laban, Mohamed [1 ]
El-Swaify, Seif Tarek [2 ]
Refaat, Mazen A. [2 ]
Ibrahim, E. A. [3 ]
Abdelrahman, Rehab M. [4 ]
机构
[1] Ain Shams Univ Hosp, Gynecol Oncol Unit, 38 Ramsis St, Cairo 11591, Egypt
[2] Ain Shams Univ Hosp, Cairo, Egypt
[3] Ain Shams Univ, Dept Pathol, Cairo, Egypt
[4] Ain Shams Univ, Dept Obstet & Gynecol, Cairo, Egypt
关键词
Hydatidiform mole; Gestational trophoblastic disease; Prediction; Neoplasia;
D O I
10.1007/s43032-021-00703-2
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Gestational trophoblastic disease is not an uncommonly encountered pathology in clinical practice. The rate of post-molar neoplastic transformation is around 5-20% with higher rates after complete versus partial molar pregnancies. Recently, a role for molecular and genetic markers in the prediction of neoplastic transformation has emerged. We read with interest the article by St. Laurent et al. published in this issue of Reproductive Sciences. The authors compared miRNA profiles between complete hydatidiform moles (CHMs) and pre-gestational trophoblastic neoplasia CHM samples at three distinct tropho-miRNA clusters, 14q32, C19MC, and miR-371-3, as well as the expression of the contiguous DLK1, DIO3, and RTL1 genes. They found significant differences in expression of the 14q32 miRNA cluster and a fivefold decrease in protein expression of DIO3 but no difference in DIO3 mRNA expression. We reviewed the literature for similar studies looking at predictive tools for neoplastic transformation. We encourage future randomized controlled trials using these 2 novel risk predictors postulated by St. Laurent et al. to validate and guide future prophylactic chemotherapy for prevention of post-molar GTN.
引用
收藏
页码:3010 / 3012
页数:3
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