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

Comprehensive Proteomic Analysis Reveals Distinct Features and a Diagnostic Biomarker Panel for Early Pregnancy Loss in Histological Subtypes

Early pregnancy loss (EPL) is a common event in human reproduction and is classified into histological subtypes such as hydropic abortion (HA) and hydatidiform moles, including complete hydatidiform moles (CHMs) and partial hydatidiform moles (PHMs). However, accurate diagnosis and improved patient management remain challenging due to high rates of misdiagnosis and diverse prognostic risks. Therefore, diagnostic biomarkers for EPL are urgently needed. Our study aimed to identify biomarkers for EPL through comprehensive proteomic analysis. Ten CHMs, six PHMs, ten HAs, and 10 normal control products of conception were used to obtain a proteomic portrait. Parallel reaction monitoring-targeted proteomic and regression analyses were used to verify and select the diagnostic signatures. Finally, 14 proteins were selected and a panel of diagnostic classifiers (DLK1, SPTB/COL21A1, and SAR1A) was built to represent the CHM, PHM, and normal control groups (area under the receiver operating characteristic curve = 0.900, 0.804/0.885, and 0.991, respectively). This high diagnostic power was further validated in another independent cohort (n = 148) by immunohistochemistry (n = 120) and Western blot analyses (n = 28). The protein SPTB was selected for further biological behavior experiments in vitro. Our data suggest that SPTB maintains trophoblast cell proliferation, angiogenesis, cell motility, and the cytoskeleton network. This study provides a comprehensive proteomic portrait and identifies potential diagnostic biomarkers. These findings enhance our understanding of EPL pathogenesis and offer novel targets for diagnosis and therapeutic interventions.

Combined analysis of clinical features, human chorionic gonadotropin (hCG) value, and hCG ratios for early prediction of postmolar gestational trophoblastic neoplasia

PURPOSE

To investigate factors predicting postmolar gestational trophoblastic neoplasia (GTN) by combined analysis of clinical features, human chorionic gonadotropin (hCG) value, and hCG ratios.

METHODS

This retrospective study enrolled patients with histopathologically proven molar pregnancy. Patients lost to follow-up before remission or developing postmolar GTN were excluded. Demographic and clinical characteristics and hCG data obtained before and after molar evacuation were collected. Area under the receiver operating characteristic curve (AUC) analysis was used to identify the hCG and hCG ratio cutoff values that predict postmolar GTN. Multivariate analysis was employed to identify independent predictors of GTN.

RESULTS

There were 113 complete moles, 11 partial moles, and 52 unspecified moles included in the final analysis. Of the 176 cases, 90 achieved remission and 86 developed post-molar GTN. The incidence of postmolar GTN was 48.9%, with a median time to GTN development of 5 weeks. Univariate analysis showed age, molar evacuation performed elsewhere, pre-evacuation hCG, hCG at 2nd week post-evacuation, and ratio of hCG at 2nd week post-evacuation to post-evacuation hCG significantly predict GTN. Multivariate analysis revealed an hCG value ≥ 1400 IU/L at 2nd week post-evacuation (AUC: 0.92, aOR: 6.51, 95% CI 1.28-33.16; p = 0.024) and a ratio of hCG at 2nd week post-evacuation to post-evacuation hCG of ≥ 0.02 (AUC: 0.88, aOR: 12.27, 95% CI 2.15-70.13; p = 0.005) to independently predict GTN.

CONCLUSIONS

An hCG value ≥ 1400 IU/L at 2nd week post-evacuation and a ratio of hCG at 2nd week post-evacuation to post-evacuation hCG of ≥ 0.02 independently and reliably predict postmolar GTN.

Prediction of Neoplastic Transformation of Hydatidiform Mole: Current Evidence

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.