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NCT05931055

The Effectiveness of Liquid Biopsy in Differential Diagnosis and Early Screening of Epithelial Ovarian Cancer

Sponsor: Peking Union Medical College Hospital

View on ClinicalTrials.gov

Summary

At present, there is a lack of effective screening methods. It is urgent to explore new non-invasive detection methods for early diagnosis of epithelial ovarian cancer and non-invasive differentiation methods for benign and malignant ovarian tumors. Liquid biopsy technology has great potential for early screening of tumors. The fragmentation patterns of cfDNA fragments in plasma and the uneven coverage of the genome can indirectly reflect the state of gene expression regulation in vivo. Its characteristics mainly include copy number variation (CNV), Nucleosome footprint, fragment length and motif. The number of proteins in a proteome can sometimes exceed the number of genomes. It includes "structural Proteomics" and "functional Proteomics". At present, research has explored the use of urinary protein biomarkers for early diagnosis of gastric cancer. "Deep Visual Proteomics (DVP)" reveals the mechanism driving tumor evolution and new therapeutic targets for tumors. Using the currently mature low depth WGS sequencing technology, this study aims to explore its clinical application in the differentiation and early screening of epithelial ovarian cancer, as well as monitoring the course of epithelial ovarian cancer, including the detection of minimal residual lesions (MRD) and monitoring of recurrence (MOR). This study also explores the role of urine proteomics in the differentiation of benign and malignant ovarian tumors, early screening and invasiveness of epithelial ovarian cancer, and monitoring the course of epithelial ovarian cancer.

Official title: The Effectiveness of Liquid Biopsy in Differential Diagnosis of Benign and Malignant Ovarian Tumors and Early Screening of Epithelial Ovarian Cancer, and the Exploration of Invasive Mechanisms of Epithelial Ovarian Cancer

Key Details

Gender

FEMALE

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

1000

Start Date

2024-01-01

Completion Date

2032-01-01

Last Updated

2023-07-05

Healthy Volunteers

Not specified

Interventions

DIAGNOSTIC_TEST

Fragmentomics

The fragmentation patterns of cfDNA fragments in plasma and the uneven coverage of the genome can indirectly reflect the state of gene expression regulation in vivo. Its characteristics mainly include copy number variation (CNV), Nucleosome footprint, fragment length and motif. Fragomics relies on WGS (Whole Genome Sequencing), and the target covers the whole Genomics level. Thus, the cfDNA Fragmentomics testing can help differentiation and early diagnosis.