Related Experiment Video For biomarkers
Updated: Jun 3, 2025

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
MicroRNA-Based Liquid Biopsy for Cervical Cancer Diagnostics and Treatment Monitoring
Maria A Kepsha1, Angelika V Timofeeva1, Vasiliy S Chernyshev1
1National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Ministry of Healthcare of the Russian Federation, Moscow 117997, Russia.
Abstract:
Despite prevention strategies, cervical cancer remains a significant public health issue. Human papillomavirus plays a critical role in its development, and early detection is vital to improve patient outcomes. The incidence of cervical cancer is projected to rise, necessitating better diagnostic tools. Traditional screening methods like the cytological examination and human papillomavirus testing have limitations in sensitivity and reproducibility. Liquid-based cytology offers some improvements, but the need for more reliable and sensitive techniques persists, particularly for detecting precancerous lesions. Liquid biopsy is a non-invasive method that analyzes cancer-derived products in biofluids like blood, offering potential for real-time monitoring of tumor progression, metastasis, and treatment response. It can be based on detection of circulating tumor cells (CTCs), circulating free DNA (cfDNA), and microRNAs (miRNAs). This review particularly underlines the potential of microRNAs, which are transported by extracellular vesicles. Overall, this article underscores the importance of continued research into non-invasive diagnostic methods like liquid biopsy to enhance cervical cancer screening and treatment monitoring.
More Related Videos
08:12Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
10:35A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction
Published on: April 5, 2018