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Challenges in diagnosing hydatidiform moles: a review of promising molecular biomarkers.
- Source :
-
Expert review of molecular diagnostics [Expert Rev Mol Diagn] 2022 Aug; Vol. 22 (8), pp. 783-796. Date of Electronic Publication: 2022 Sep 05. - Publication Year :
- 2022
-
Abstract
- Introduction: Hydatidiform moles (HMs) are pathologic conceptions with unique genetic bases and abnormal placental villous tissue. Overlapping ultrasonographical and histological manifestations of molar and non-molar (NM) gestations and HMs subtypes makes accurate diagnosis challenging. Currently, immunohistochemical analysis of p57 and molecular genotyping have greatly improved the diagnostic accuracy.<br />Areas Covered: The differential expression of molecular biomarkers may be valuable for distinguishing among the subtypes of HMs and their mimics. Thus, biomarkers may be the key to refining HMs diagnosis. In this review, we summarize the current challenges in diagnosing HMs, and provide a critical overview of the recent literature about potential diagnostic biomarkers and their subclassifications. An online search on PubMed, Web of Science, and Google Scholar databases was conducted from the inception to 1 April 2022.<br />Expert Opinion: The emerging biomarkers offer new possibilities to refine the diagnosis for HMs and pregnancy loss. Although the additional studies are required to be quantified and investigated in clinical trials to verify their diagnostic utility. It is important to explore, validate, and facilitate the wide adoption of newly developed biomarkers in the coming years.
- Subjects :
- Biomarkers
Cyclin-Dependent Kinase Inhibitor p57 analysis
Cyclin-Dependent Kinase Inhibitor p57 genetics
Cyclin-Dependent Kinase Inhibitor p57 metabolism
Female
Genotype
Humans
Placenta pathology
Pregnancy
Hydatidiform Mole diagnosis
Hydatidiform Mole genetics
Hydatidiform Mole pathology
Uterine Neoplasms diagnosis
Uterine Neoplasms metabolism
Uterine Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1744-8352
- Volume :
- 22
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Expert review of molecular diagnostics
- Publication Type :
- Academic Journal
- Accession number :
- 36017690
- Full Text :
- https://doi.org/10.1080/14737159.2022.2118050