Whole Genome Sequencing (ChromoSeq) as an Adjunct to Conventional Genomic Profiling in AML and MDS

October 14, 2025 updated by: Washington University School of Medicine

A Prospective Study of Whole Genome Sequencing (ChromoSeq) as an Adjunct to Conventional Genomic Profiling in AML and MDS

This is a single institution, prospective study of the whole genome sequencing assay, ChromoSeq. Using prospectively collected patient data, coupled with physician surveys, the investigators seek to determine the feasibility of implementing ChromoSeq in addition to standard genomic testing, for patients with the diagnoses of acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS).

Study Overview

Study Type

Interventional

Enrollment (Estimated)

325

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Meagan Jacoby, M.D., Ph.D.
  • Phone Number: 314-747-8439
  • Email: mjacoby@wustl.edu

Study Locations

    • Missouri
      • St Louis, Missouri, United States, 63110
        • Recruiting
        • Washington University School of Medicine
        • Sub-Investigator:
          • Mary Politi, Ph.D.
        • Contact:
        • Sub-Investigator:
          • Feng Gao, Ph.D.
        • Sub-Investigator:
          • David Spencer, M.D., Ph.D.
        • Principal Investigator:
          • Meagan Jacoby, M.D., Ph.D.
        • Sub-Investigator:
          • Timothy Ley, M.D.

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria Patient

  • Patient with a clinical suspicion for a new diagnosis of AML or MDS for whom the diagnostic molecular testing via the hematologic molecular algorithm (HMA) at BJH is requested or planned to be requested.
  • Adult patients 18 years or older.
  • Ability to understand and willingness to sign an IRB approved written informed consent document.

Inclusion Criteria Physician

  • Treating physician at Washington University School of Medicine who directs therapy for individuals with hematologic malignancies.
  • Able and willing to complete standardized questionnaires about usability, and stakeholder perceptions of ChromoSeq during the ChromoSeq implementation process.

Exclusion Criteria Patient

  • Younger than 18 years of age

Exclusion Criteria Physician

  • Does not treat patients at Washington University School of Medicine

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

  • Primary Purpose: Diagnostic
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Patients: ChromoSeq
ChromoSeq will be performed on bone marrow DNA from consented patients in parallel with the standard of care cytogenetics, FISH, and the MyeloSeq gene panel obtained from that sample, in a CLIA licensed environment using CLIA-compliant ChromoSeq procedures.
Novel, streamlined whole genome sequencing approach
No Intervention: Stakeholders (Treating Physicians)
-Stakeholders (treating physicians) will complete surveys/questionnaires. As of protocol amendment 10/31/2023, the stakeholders (treating physicians) will no longer be completing surveys/questionnaires.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity of ChromoSeq as measured by total number of recurrent structural variants identified
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to conventional cytogenetics in a real-time clinical setting
  • The total number of recurrent structural variants will be measured in each sample by ChromoSeq and metaphase cytogenetics yielding a pair of measurements. Each measurement will also be dichotomized into the presence or absence of at least one recurrent structural variant. The hypothesis of no difference in the number of variants detected by each method will be analyzed by a paired-sample t-test. However, if it is determined that the assumptions of a t-test are not tenable then a paired-sample sign test will be used instead. McNemar's test will be used to compare whether or not at least one recurrent structural variant identified is by each method.
Through completion of all ChromoSeq tests (estimated to be 15 months)
Sensitivity of ChromoSeq as measured by total number of copy number alterations identified
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to conventional cytogenetics in a real-time clinical setting
  • The total number of copy number alterations will be measured in each sample by ChromoSeq and metaphase cytogenetics yielding a pair of measurements. Each measurement will also be dichotomized into the presence or absence of at least one copy number alteration. The hypothesis of no difference in the number of copy number alterations detected by each method will be analyzed by a paired-sample t-test. However, if it is determined that the assumptions of a t-test are not tenable then a paired-sample sign test will be used instead. McNemar's test will be used to compare whether or not at least one copy number alterations is identified is by each method.
Through completion of all ChromoSeq tests (estimated to be 15 months)
Sensitivity of ChromoSeq as measured by number of single nucleotide variants identified
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to high coverage gene panels in a real-time clinical setting
  • The number of single nucleotide variants will be counted for each sample. Additionally, the data will be dichotomized into the presence or absence of at least one single nucleotide variant. Data will be analyzed by paired-sample t-tests and McNemar's test.
Through completion of all ChromoSeq tests (estimated to be 15 months)
Sensitivity of ChromoSeq as measured by number of insertion-deletions identified
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to high coverage gene panels in a real-time clinical setting
  • The number of insertion-deletions will be counted for each sample. Additionally, the data will be dichotomized into the presence or absence of at least one insertion-deletion. Data will be analyzed by paired-sample t-tests and McNemar's test.
Through completion of all ChromoSeq tests (estimated to be 15 months)
Determine if risk-stratification using ChromoSeq correlates with overall-survival
Time Frame: Through completion of follow-up for all patients (estimated to be 63 months)
  • As compared to metaphase cytogenetics
  • The relationship of risk-stratification defined by either ChromoSeq or conventional cytogenetics to clinical outcome will be illustrated with Kaplan-Meier survival analyses on overall survival for both ChromoSeq and metaphase cytogenetics. The predictive accuracy of the two methods will be tested by comparing the area under the ROC curves using the method of DeLong et al.
Through completion of follow-up for all patients (estimated to be 63 months)
Determine if risk-stratification using ChromoSeq correlates with event-free survival
Time Frame: Through completion of follow-up for all patients (estimated to be 63 months)
  • As compared to metaphase cytogenetics
  • The relationship of risk-stratification defined by either ChromoSeq or conventional cytogenetics to clinical outcome will be illustrated with Kaplan-Meier survival analyses on event-free survival for both ChromoSeq and metaphase cytogenetics. The predictive accuracy of the two methods will be tested by comparing the area under the ROC curves using the method of DeLong et al.
Through completion of follow-up for all patients (estimated to be 63 months)
Proportion of cases in which ChromoSeq provides new genetic information to the clinician
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to conventional genomic profiling (cytogenetics, FISH, and next-generation sequencing) that is used for clinical management (such as risk-stratification or institution of targeted gene therapy)
  • Items in the ChromoSeq Implementation Physician Survey will be used to describe physician evaluation of ChromoSeq with conventional genomic profiling with regard to clinical management. Responses to these items will be presented in frequency tables. For statistical analysis, the values of each item will be recoded from 1-5 to -2 to +2 and one-sample t-tests used to test the null hypothesis that the mean value is 0 (neither agree nor disagree.) In addition, case-reports will be reviewed for qualitative evaluations of physician experience with the two methods.
Through completion of all ChromoSeq tests (estimated to be 15 months)
ChromoSeq turnaround time
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
-Measured from time of order requisition (hematologic molecular algorithm from Barnes Jewish Hospital) to return of report to the medical record
Through completion of all ChromoSeq tests (estimated to be 15 months)
Proportion of failed ChromoSeq assays
Time Frame: Through completion of all ChromoSeq tests (estimated to be 15 months)
  • As compared to failed standard of care genomic profiling assays
  • Each assay will be categorized as successful or failed and a two-way table constructed displaying ChromoSeq assay status by standard assay status. A Pearson chi-square test will be calculated to test the null hypothesis that assay success is independent of type of assay.
Through completion of all ChromoSeq tests (estimated to be 15 months)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Stakeholder perceptions of ChromoSeq
Time Frame: Within 1 month after generation of ChromoSeq (estimated to be 2 months)
  • Using survey responses from treating physicians obtained from per case standardized questionnaires designed using Consolidated Framework for Implementation Research constructs
  • For each case, the corresponding treating physician will be asked to answer a case-based ChromoSeq Implementation Physician Survey. In order to prospectively investigate how the ChromoSeq data was used or could be used by the treating physician for each case, and to evaluate perceptions in real time, the physician will be asked to complete the survey within 1 month of the ChromoSeq and completed conventional genomic profiling results being returned to the chart, whichever is later.
Within 1 month after generation of ChromoSeq (estimated to be 2 months)
Stakeholder perceptions of ChromoSeq as measured by the Acceptability of Intervention Measure
Time Frame: When 100 genomes have been sequenced (estimated to be 12 months)
  • Will complete survey at the time when 100 genomes have been sequenced
  • 4 statements with answers ranging from 1=completely disagree to 5=completely agree.
When 100 genomes have been sequenced (estimated to be 12 months)
Stakeholder perceptions of ChromoSeq as measured by the Intervention Appropriateness Measure
Time Frame: When 100 genomes have been sequenced (estimated to be 12 months)
  • Will complete survey at the time when 100 genomes have been sequenced.
  • 4 statements with answers ranging from 1=completely disagree to 5=completely agree.
When 100 genomes have been sequenced (estimated to be 12 months)
Stakeholder perceptions of ChromoSeq as measured by the Feasibility of Implementation Measure
Time Frame: When 100 genomes have been sequenced (estimated to be 12 months)

-Will complete survey at the time when 100 genomes have been sequenced.

--4 statements with answers ranging from 1=completely disagree to 5=completely agree.

When 100 genomes have been sequenced (estimated to be 12 months)
Stakeholder perceptions of ChromoSeq as measured by the System Usability Scale
Time Frame: When 100 genomes have been sequenced (estimated to be 12 months)
  • Will complete survey at the time when 100 genomes have been sequenced.
  • 10 statements about usability of ChromoSeq with answers ranging from 1=strongly disagree to 5=strongly agree
When 100 genomes have been sequenced (estimated to be 12 months)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Meagan Jacoby, M.D., Ph.D., Washington University School of Medicine

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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 (Actual)

September 17, 2021

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

July 22, 2021

First Submitted That Met QC Criteria

July 22, 2021

First Posted (Actual)

August 3, 2021

Study Record Updates

Last Update Posted (Estimated)

October 16, 2025

Last Update Submitted That Met QC Criteria

October 14, 2025

Last Verified

October 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Individual participant data that underlie the results reported in the article, after deidentification (text, tables, figures, and appendices).

IPD Sharing Time Frame

Beginning 3 months and ending 5 years following article publication.

IPD Sharing Access Criteria

Researchers who provide a methodologically sound proposal may submit proposals to mjacoby@wustl.edu. To gain access, data requestors will need to sign a data access agreement.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

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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