- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05983172
Multi-omics Approach of Risk Stratification for Patients With de Novo Acute Myeloid Leukemia
August 9, 2023 updated by: National Taiwan University Clinical Trial Center, National Taiwan University Hospital
The investigators will use machine learning to identify features on bone marrow smears and select features that are related to gene mutations, gene expression, or prognosis.
The investigators will then use genome-wide transcriptomic profiling to investigate gene expression that is associated with patients' outcomes.
The investigators will design a next-generation sequencing panel with unique molecular index and assess its feasibility and robustness in detecting measurable residual disease and optimize the panel/platform/bioinformatic pipeline.
Finally, The investigators will use machine learning to integrate bone marrow smear features, gene mutations, gene expression, and measurable residual disease to construct a comprehensive risk assessment system that is based on multi-omics data.
The investigators believe that such a platform will help physicians to design the most appropriate treatment strategies for individual patients, not only advancing the concept of precision medicine but also improving patients' prognoses.
Study Overview
Status
Enrolling by invitation
Conditions
Study Type
Observational
Enrollment (Estimated)
1500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Taipei, Taiwan, 100
- National Taiwan University Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Adult patients with acute myeloid leukemia
Description
Inclusion Criteria:
- Diagnosed with acute myeloid leukemia at the National Taiwan University Hospital
- Ever enrolled in 201802021RINC、202109078RINB、201709072RINC
Exclusion Criteria:
Nil
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Overall survival
Time Frame: From date of diagnosis until the date of death from any cause, assessed up to 30 years
|
From date of diagnosis until the date of death from any cause, assessed up to 30 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Xavier Cheng-Hong Tsai, MD, MSc, PhD, National Taiwan University Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
August 1, 2023
Primary Completion (Estimated)
July 1, 2024
Study Completion (Estimated)
July 1, 2026
Study Registration Dates
First Submitted
July 30, 2023
First Submitted That Met QC Criteria
August 7, 2023
First Posted (Actual)
August 9, 2023
Study Record Updates
Last Update Posted (Actual)
August 14, 2023
Last Update Submitted That Met QC Criteria
August 9, 2023
Last Verified
July 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202306138RINB
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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