PaCIFiC-CUP Classifies Cancer of Unknown Primary

Recruiting now

Conditions studied: Unknown Primary Tumors, DNA Methylation

In brief

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.

Key facts

Study ID
NCT06140992
Run by
Sun Yat-sen University
People needed
120
Starts
2023-07-01
Expected to finish
2026-12-31
Last updated by the study team
2026-04-23

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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