Precise Gene Signature for Predicting Outcomes in PDAC
Gene Signature Developed Using Machine Learning for Precise Prediction of Relapse and Survival in Resected Stage I-II Pancreatic Ductal Adenocarcinoma
1 other identifier
observational
70
1 country
1
Brief Summary
The current TNM staging system is not sufficient for prediction of prognosis and cannot precisely identify the patients who are in greater need of adjuvant therapy in pancreatic ductal adenocarcinoma (PDAC). Tumor mutation and copy number variation (CNV) markers may have a higher predictive value. In this study, whole exosome sequencing was performed for patients with stage I-II PDAC undergoing R0 resection. The investigators aimed to identify genes with discrepant statuses of mutations or CNVs between patients with and without relapse within 1 year after R0 resection, and then to construct a support vector machine (SVM)-based prognostic classifier (the SVM signature) for PDAC using machine learning; the investigators then aimed to further validate the SVM signature in an independent cohort.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Apr 2021
1 active site
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Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 19, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
June 22, 2022
CompletedFirst Submitted
Initial submission to the registry
June 23, 2022
CompletedFirst Posted
Study publicly available on registry
July 1, 2022
CompletedJuly 7, 2022
July 1, 2022
1 year
June 23, 2022
July 1, 2022
Conditions
Outcome Measures
Primary Outcomes (2)
Disease-free survival
the time to recurrence at any site or all-cause death, whichever occurred first
3-year
Overall survival
the time to death from any cause
3-year
Study Arms (2)
training cohort
30 patients undergoing resection between March 2015 and December 2016 at Chinese PLA General Hospital in Beijing, China
validation cohort
40 patients from The Cancer Genome Atlas (TCGA) database (https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga)
Interventions
Eligibility Criteria
The investigators enrolled two independent cohorts of consecutive patients with incident, primary, microscopically-confirmed stage I-II PDAC undergoing radical R0 resection only. For the training cohort, data were retrieved for 30 patients undergoing resection between March 2015 and December 2016 at Chinese PLA General Hospital in Beijing, China. Patients who did not relapse or die within 1 year after resection had follow-up of at least 1 year. The investigators also included 40 patients from The Cancer Genome Atlas (TCGA) database (https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) as the validation cohort, with the same criteria as above; they were diagnosed between January 2010 and December 2013.
You may qualify if:
- Availability of hematoxylin and eosin slides with invasive tumor components
- Availability of clinicopathologic characteristics and follow-up data
- No previous history of cancer
You may not qualify if:
- No formalin-fixed, paraffin-embedded (FFPE) tumor sample of primary tumor
- Receipt of any neoadjuvant and/or adjuvant cancer-directed therapy
- Survival time \<3 months after resection
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200025, China
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research PI, Research Associate
Study Record Dates
First Submitted
June 23, 2022
First Posted
July 1, 2022
Study Start
April 19, 2021
Primary Completion
May 1, 2022
Study Completion
June 22, 2022
Last Updated
July 7, 2022
Record last verified: 2022-07