PaCIFiC-CUP Classifies Cancer of Unknown Primary

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.

Conditions

• Unknown Primary Tumors
• DNA Methylation

Sponsors & Collaborators

• First People's Hospital of Foshan

  collaborator OTHER

• Third Affiliated Hospital, Sun Yat-Sen University

  collaborator OTHER

• The First Affiliated Hospital of Anhui Medical University

  collaborator OTHER

• Anhui Provincial Cancer Hospital

  collaborator OTHER

• Dongguan People's Hospital

  collaborator OTHER_GOV

• Beijing Tongren Hospital

  collaborator OTHER

• Anhui Provincial Hospital

  collaborator OTHER_GOV

• Peking University Third Hospital

  collaborator OTHER

• Henan Cancer Hospital

  collaborator OTHER_GOV

• Ganzhou Cancer Hospital

  collaborator UNKNOWN

• Guangzhou Chest Hospital.

  collaborator OTHER

• First Affiliated Hospital of Jinan University

  collaborator OTHER

• Peking University Shenzhen Hospital

  collaborator OTHER

• Affiliated Cancer Hospital & Institute of Guangzhou Medical University

  collaborator OTHER

• Sun Yat-sen University

  lead OTHER

Eligibility

Min Age

18 Years

Max Age

80 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2023-07-01

Primary Completion

2026-12-31

Completion

2026-12-31

Countries

• China

Study Locations