Evaluating the Predictive Capability of Transcriptomic Profiling for Identifying the Primary Site of Metastatic Tumors

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorFudan University

About this trial

This study will enroll patients with metastatic malignancies. Tumor samples (fresh or formalin-fixed paraffin-embedded tissue specimens) will undergo RNA extraction and next-generation sequencing (RNA-seq). Once the raw data is obtained, the system will analyze the transcriptomic feature values (cancer-specific RNA transcripts and tissue-specific RNA transcripts) expressed in the tumor tissue samples to further predict tissue origin using a machine learning model. The output includes probabilities and confidence intervals for tissue origin.

Eligibility criteria

Qualifiers

Clinically confirmed diagnosis of malignant tumor with metastasis;

Metastatic lesions confirmed as malignant by histopathology;

Sufficient surgical resection or biopsy specimens retained to meet the requirements for next-generation sequencing;

The participant (or their legal representative/guardian) has signed the informed consent form, confirming full understanding of the study's purpose and procedures, and voluntarily agrees to participate.

Disqualifiers

None

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

No trial groups listed

Locations

This trial has no locations

Sponsors and collaborators