DNA in Predicting Response After Systemic Therapy in Women With Metastatic Breast Cancer
DNA Methylation in Serum as a Predictive Marker of Progression and Survival Following Systemic Therapy in Patients With Metastatic Breast Cancer
6 other identifiers
observational
182
1 country
4
Brief Summary
RATIONALE: Studying samples of blood from patients with cancer and from healthy participants in the laboratory may help doctors learn more about changes that may occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how well patients will respond to systemic therapy. PURPOSE: This laboratory study is looking at DNA in predicting response after systemic therapy in women with metastatic breast cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2007
Longer than P75 for all trials
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2007
CompletedFirst Submitted
Initial submission to the registry
May 9, 2009
CompletedFirst Posted
Study publicly available on registry
May 12, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2010
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2016
CompletedResults Posted
Study results publicly available
July 26, 2019
CompletedJuly 26, 2019
July 1, 2019
3.4 years
May 9, 2009
November 1, 2017
July 25, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Progression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Value
from week 4 to up to 87 months
Changes in Methylated Gene Markers as Measured by Cumulative Methylation Index
log change in cumulative methylation index (CMI) from baseline to week 4. Individual gene methylation (M) is calculated as a methylation index (MI) where MI = (methylated copies)/(number of methylated genes + gene standard copies) \* 100. The MI of each sample was averaged across duplicates. The cumulative methylation index (CMI) is the sum of the MI for all genes. The log change from based line to week 4 could increase or decrease. CMI was evaluated as a continuous marker for change from baseline.
baseline, week 4
Effects of Common Exposures (i.e., Alcohol, Smoking, Medications, and Dietary Factors) on Patterns of Serum Methylation
9-12 weeks
Creation of a Predictive Model of DNA Methylation Profiles
9-12 weeks
Secondary Outcomes (2)
Overall Survival in Patients With a High vs. Low CMI Value
from week 4 to up to 3 years
Correlation of CTCs With Serum Methylation
3-4 weeks
Other Outcomes (1)
Determination if the Addition of CTCs to Serum Methylation Results in an Improved Predictive Model
3-4 weeks
Study Arms (1)
Metastatic breast cancer patients
DNA methylation analysis, microarray analysis, polymerase chain reaction, laboratory biomarker analysis
Interventions
Eligibility Criteria
Metastatic breast cancer patients and women without a history of breast cancer (ie, healthy women or "normals')
Contact the study team to discuss eligibility requirements. They can help determine if this study is right for you.
Sponsors & Collaborators
Study Sites (4)
Indiana University Melvin and Bren Simon Cancer Center
Indianapolis, Indiana, 46202-5289, United States
Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
Baltimore, Maryland, 21231-2410, United States
Mayo Clinic Cancer Center
Rochester, Minnesota, 55905, United States
Lineberger Comprehensive Cancer Center at University of North Carolina - Chapel Hill
Chapel Hill, North Carolina, 27599-7295, United States
Related Publications (1)
Visvanathan K, Fackler MS, Zhang Z, Lopez-Bujanda ZA, Jeter SC, Sokoll LJ, Garrett-Mayer E, Cope LM, Umbricht CB, Euhus DM, Forero A, Storniolo AM, Nanda R, Lin NU, Carey LA, Ingle JN, Sukumar S, Wolff AC. Monitoring of Serum DNA Methylation as an Early Independent Marker of Response and Survival in Metastatic Breast Cancer: TBCRC 005 Prospective Biomarker Study. J Clin Oncol. 2017 Mar;35(7):751-758. doi: 10.1200/JCO.2015.66.2080. Epub 2016 Nov 21.
PMID: 27870562RESULT
Biospecimen
Serum, plasma, DNA, RNA, whole blood
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Antonio C. Wolff, M.D.
- Organization
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
Study Officials
- PRINCIPAL INVESTIGATOR
Antonio C. Wolff, MD
Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
Publication Agreements
- PI is Sponsor Employee
- Yes
- Restrictive Agreement
- No
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 9, 2009
First Posted
May 12, 2009
Study Start
January 1, 2007
Primary Completion
June 1, 2010
Study Completion
October 1, 2016
Last Updated
July 26, 2019
Results First Posted
July 26, 2019
Record last verified: 2019-07
Data Sharing
- IPD Sharing
- Will share
- Time Frame
- Not yet determined
- Access Criteria
- Not yet determined
Data set will be available upon review and approval by the Correlative Science Review Committee of the Translational Breast Cancer Research Consortium (TBCRC). Inquiries should be addressed to the study chair, Dr. Antonio Wolff