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| Name | Class |
|---|---|
| Shanghai Weihe Medical Laboratory Co., Ltd. | INDUSTRY |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Case-Cancer arm | Blood collection and Pancreatic ductal adenocarcinoma minimal residual disease detection test |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Blood collection and Pancreatic ductal adenocarcinoma minimal residual disease detection test | Other | Blood samples of participants meet the inclusion/exclusion criteria will be collected. Pancreatic ductal adenocarcinoma minimal residual disease detection test. |
| Measure | Description | Time Frame |
|---|---|---|
| 1.5-year disease-free survival | 1.5-year disease-free survival of patients with pancreatic ductal adenocarcinoma receiving post-operative adjuvant chemotherapy. | 18 months |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity of the multi-omics prognostic model | Sensitivity of the multi-omics prognostic model for pancreatic ductal adenocarcinoma based on cfDNA methylation, fragmentation group, and CNV features in patients with recurrence at 95% confidence interval | 18 months |
| Specificity of the multi-omics prognostic model |
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Inclusion criteria:
Exclusion criteria:
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Eligible participants will be recruited from clinic and medical centers. Participants are defined as new diagnosis cancer patients with pancreatic ductal adenocarcinoma. Demographic and cancer risk-related characteristics (eg, age, gender, smoking status, diabetes) will be collected from all enrolled subjects.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xian-Jun Yu, M.D., Ph.D. | Contact | +86 21 64175590 | yuxianjun@fudanpci.org | |
| Si Shi, M.D., Ph.D. | Contact | +86 21 64175590 |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Pancreatic and Hepatobiliary Surgery, Fudan University Shanghai Cancer Center; Pancreatic Cancer Institute, Fudan University; 270 Dong An Road, Shanghai 200032, China | Shanghai | 200032 | China |
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cfDNA and tumor tissue DNA
Specificity of the multi-omics prognostic model for pancreatic ductal adenocarcinoma patients without recurrence at 95% confidence intervals. |
| 18 months |
| Area under the receiver operating characteristic curve (AUROC) of the multi-omics prognostic model | Area under the receiver operating characteristic curve (AUROC) of the multi-omics prognostic model for predicting patient recurrence of pancreatic ductal adenocarcinoma at 95% confidence intervals. | 18 months |
| Sensitivity of the multi-omics prognostic model in different subgroups | Sensitivity of the multi-omics prognostic model for predicting pancreatic ductal adenocarcinoma recurrence in different subgroups (age, underlying medical history, tumour differentiation, tumour diameter, etc.) at 95% confidence intervals. | 18 months |