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PaCIFiC-CUP Classifies Cancer of Unknown Primary
Sponsor: Sun Yat-sen University
Summary
This study aims to initially utilize machine learning on pan-cancer DNA methylation data from public databases to construct a DNA methylation classification model (PaCIFiC-CUP, pan-cancer integrated fingerprinting classifier of CUP) for diagnosing various types of cancer, particularly the primary site of cancer of unknown primary. The goal is to achieve diagnosis of cancer pathology type by analyzing the DNA methylation patterns of cancer specimens, thereby guiding subsequent precision treatment for cancer.
Official title: PaCIFiC-CUP:Pan-Cancer Integrated Fingerprinting Classifier for Identifying the Origin of Cancer of Unknown Primary: A Multi-Center Prospective Cohort Study
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
120
Start Date
2023-07-01
Completion Date
2025-12-31
Last Updated
2025-06-18
Healthy Volunteers
No
Conditions
Locations (1)
Sun Yat-sen university cancer center
Guangzhou, Guangdong, China