About this trial
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.
Eligibility criteria
Qualifiers
The patient specimens were obtained from the Sun Yat-sen University Cancer Center and affiliated cooperating centers, with written consent from the patients authorizing the use of the specimens for research purposes.
Following standard assessments (medical history, physical examination, complete blood count, biochemistry, computed tomography scans of the neck, chest, abdomen, and pelvis, targeted evaluations of all symptomatic areas, pathology, and immunohistochemistry), the diagnosis was determined as a primary site unknown tumor (including adenocarcinoma, squamous cell carcinoma, undifferentiated carcinoma, neuroendocrine carcinoma, sarcoma, etc).
The diagnosis was confirmed at the participating institution and the patient had received systemic therapy.
Complete clinical, pathological, and follow-up data for the patients can be obtained.
Disqualifiers
Pregnant or lactating female patients.
Tumor tissue sample size is too small (tumor tissue accounts for <70% in the biopsy or slice tissue).
Organ transplant or history of non-autologous (allogeneic) bone marrow or stem cell transplantation.
History of previous tumors, with the current condition being a recurrent tumor.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Sponsors and collaborators
Sun Yat-sen University
Lead sponsor
First People's Hospital of Foshan
Collaborator
Third Affiliated Hospital, Sun Yat-Sen University
Collaborator
The First Affiliated Hospital of Anhui Medical University
Collaborator
Anhui Provincial Cancer Hospital
Collaborator
Dongguan People's Hospital
Collaborator
Beijing Tongren Hospital
Collaborator
Anhui Provincial Hospital
Collaborator
Peking University Third Hospital
Collaborator
Henan Cancer Hospital
Collaborator
Ganzhou Cancer Hospital
Collaborator
Guangzhou Chest Hospital.
Collaborator
First Affiliated Hospital of Jinan University
Collaborator
Peking University Shenzhen Hospital
Collaborator
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Collaborator