Literature DB >> 34341951

Prediction of Neoplastic Transformation of Hydatidiform Mole: Current Evidence.

Mohamed Laban1, Seif Tarek El-Swaify2, Mazen A Refaat2, E A Ibrahim3, Rehab M Abdelrahman4.   

Abstract

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.
© 2021. Society for Reproductive Investigation.

Entities:  

Keywords:  Gestational trophoblastic disease; Hydatidiform mole; Neoplasia; Prediction

Mesh:

Year:  2021        PMID: 34341951     DOI: 10.1007/s43032-021-00703-2

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  3 in total

1.  Proteomic identification of predictive biomarkers for malignant transformation in complete hydatidiform moles.

Authors:  Asama Vanichtantikul; Kenneth G Hodge; Poorichaya Somparn; Thammakorn Saethang; Surang Triratanachat; Trairak Pisitkun; Ruangsak Lertkhachonsuk
Journal:  Placenta       Date:  2019-02-05       Impact factor: 3.481

Review 2.  Genetics of gestational trophoblastic neoplasia: an update for the clinician.

Authors:  Constantine Alifrangis; Michael J Seckl
Journal:  Future Oncol       Date:  2010-12       Impact factor: 3.404

3.  Identification of microRNA signature in the progression of gestational trophoblastic disease.

Authors:  Jiu-Ru Zhao; Wei-Wei Cheng; Ya-Xin Wang; Mei Cai; Wei-Bin Wu; Hui-Juan Zhang
Journal:  Cell Death Dis       Date:  2018-01-24       Impact factor: 8.469

  3 in total

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