QUALITY CONTROL IN MOLECULAR GENETICS LABORATORY: A LITERATURE REVIEW

2025

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DOI 10.52532/2521-6414-2025-1-75-435
Data confidence 85 high
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It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Relevance: Integrating molecular biomarkers with rigorous quality control (QC) measures in laboratory settings is essential for enhancing early detection strategies and prognostic evaluation in cancer patients. Precision and QC in laboratory diagnostics of oncological diseases have become particularly significant in the widespread implementation of targeted and personalized therapy. The study aimed to review publications evaluating quality control in biomarker identification within molecular genetics laboratories, using ovarian cancer diagnostics as a case study.Methods: This systematic literature review conducted in the framework of this study revealed 220 records, leading to 165 unique publications, of which 24 full-text articles were included in this review. The study followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA 2020) guidelines. Results: All analyzed sources showed that Implementing QC, including calibration, internal controls, and proficiency testing provided by the College of American Pathologists (CAP), significantly reduces errors despite ongoing funding constraints. The European Molecular Quality Network (EMQN) and CAP jointly offer proficiency testing programs to evaluate laboratory performance globally, ensuring consistency and reliability in testing outcomes. Conclusion: Ensuring the accuracy and reliability of molecular diagnostic tests is critical in clinical settings, particularly for conditions such as ovarian cancer, where precise genetic analysis informs both diagnosis and treatment. Further advancements in early detection and personalized treatment can be achieved by integrating emerging technological innovations within robust QC framework, ultimately improving patient outcomes. Consequently, the establishment of standardized guidelines and standard operating procedures for molecular genetic testing, with a specific focus on the molecular genetic diagnosis of ovarian cancer, is imperative.