Journal

Expert Review of Molecular Diagnostics

Papers (16)

Gestational trophoblastic disease: STR genotyping for precision diagnosis

Gestational trophoblastic disease (GTD) encompasses a constellation of rare to common gynecologic conditions stemming from aberrant gestations with distinct genetic backgrounds and variable degrees of trophoblast proliferation of either neoplastic or non-neoplastic nature. GTD is categorized into hydatidiform moles and gestational trophoblastic neoplasms, and their clinical outcomes vary widely across different subtypes. Prompt and accurate diagnosis plays a pivotal role in the effective management and prognostication of patients. Short tandem repeats (STRs) are repetitive DNA sequences dispersed throughout the human genome and inherit a tremendous genetic polymorphism among individuals. Widely recognized for its applications in forensic identity and paternity testing, the relevance of STR genotyping in the diagnosis of GTD has emerged as an essential ancillary test in the classification and management of GTD of both non-neoplastic hydatidiform moles and gestational trophoblastic tumors. This review discusses fundamental principles, laboratory operation, and diagnostic interpretations of STR genotyping in the context of diagnosis and differential diagnosis of GTD. PubMed was searched for all references up to 2024. STR genotyping is the gold standard in the diagnosis and subclassification of hydatidiform moles and has an important application in diagnostic workup and risk stratifications of gestational trophoblastic tumors as well.

Molecular imaging of PARP in cancer: state-of-the-art

Poly-ADP-ribose-polymerase inhibitors (PARPi), which exploit the processes of so-called 'synthetic lethality,' have been successfully implemented in oncological practice. However, not all patients respond to PARPi, and there is an unmet need for noninvasive biomarkers suitable for patient selection and monitoring during PARPi therapy. The first clinical applications of molecular imaging with positron emission tomography/computed tomography (PET/CT) with [18F]-FluorThanatrace ([18F]-FTT) and [18F]-PARPi, highly effective PARP-ligands, in patients with several malignancies (head and neck, ovarian, prostate, and breast cancer) are covered, with a particular focus on its potential for pre-treatment selection and follow-up. By a search made on the most common database, such as PubMed and Google Scholar in a period from January 2010 and 2023, first clinical evidence suggests that PET/CT with [18F]-FTT and [18F]-PARPi might represent a reliable tool for in vivo imaging and quantification of PARP-1 expression in ovarian, prostate, breast, head, and neck cancer, supporting their potential usefulness for patient selection before PARPi-therapies. In addition, a reduction in [18F]-FTT uptake has been registered after therapy initiation and seems to be correlated with patient outcome after PARPi-based regimens. Further studies are needed to better address the value of PARPI-radiolabeled PET imaging in these clinical settings, especially as it concerns technical features such as optimal scan modality (dynamic vs. static) and timing.

Advancements in protein glycosylation biomarkers for ovarian cancer through mass spectrometry-based approaches

Ovarian cancer, characterized by metastasis and reduced 5-year survival rates, stands as a substantial factor in the mortality of gynecological malignancies worldwide. The challenge of delayed diagnosis originates from vague early symptoms and the absence of efficient screening and diagnostic biomarkers for early cancer detection. Recent studies have explored the intricate interplay between ovarian cancer and protein glycosylation, unveiling the potential significance of glycosylation-oriented biomarkers. This review examines the progress in glycosylation biomarker research, with particular emphasis on advances driven by mass spectrometry-based technologies. We document milestones achieved, discuss encountered limitations, and also highlight potential areas for future research and development of protein glycosylation biomarkers for ovarian cancer. The association of glycosylation in ovarian cancer is well known, but current research lacks desired sensitivity and specificity for early detection. Notably, investigations into protein-specific and site-specific glycoproteomics have the potential to significantly enhance our understanding of ovarian cancer and facilitate the identification of glycosylation-based biomarkers. Furthermore, the integration of advanced mass spectrometry techniques with AI-driven analysis and glycome databases holds the promise for revolutionizing biomarker discovery for ovarian cancer, ultimately transforming diagnosis and improving patient outcomes.

Publisher

Informa UK Limited

ISSN

1473-7159