Assessment of Early Pancreatic Cancer Prognosis by Minimal Residual Disease Using Multi-omics Approach

Overview

This trial aims to develop a minimal residual disease (MRD) detection model for predicting recurrence of patients with stage I-II pancreatic ductal adenocarcinoma after surgery and adjuvant therapy, based on cfDNA fragmentation and methylation signal.

The entire study is divided into two stages. Stage one is the enrollment period. 51 subjects with pancreatic ductal adenocarcinoma in stages I-II who have not received neoadjuvant therapy and have undergone radical surgery were enrolled. Blood samples at the time point before surgical treatment (T0) were collected and fresh tissue specimens (cancerous tissue and adjacent normal tissue) were collected. Blood samples were subjected to methylation, fragment group, and CNV multi-omics testing, and tissue samples were subjected to target methylation area testing. Stage two is the follow-up period. Blood samples from the fifth week after surgery to before adjuvant therapy (T1) and blood samples from 4-8 weeks after adjuvant therapy (T2) were collected. Blood samples were subjected to methylation, fragment group, and CNV multi-omics testing with different techniques. The subjects were followed up for 1.5 years. According to progression and recurrence, the subjects were divided into progression group and non-progression group. Methylation and multi-omics prognosis models were trained and compared for their performance in residual detection and recurrence prediction.

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Central Contacts