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| ID | Type | Description | Link |
|---|---|---|---|
| P30CA006973 | U.S. NIH Grant/Contract | View source | |
| JHOC-J0524 | Other Identifier | SKCCC at Johns Hopkins | |
| JHOC-SKCCC-J0524 | Other Identifier | SKCCC at Johns Hopkins | |
| CDR0000509417 | Other Identifier | NCI PDQ | |
| NA_00000717 | Other Identifier | JHM IRB |
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
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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.
OBJECTIVES:
Primary
Secondary
OUTLINE: This is a prospective, multicenter study.
Patients and healthy participants fill out health assessment questionnaires at baseline, week 3-4, and week 9-12.
Patients undergo blood collection for methylated marker analysis at baseline, weeks 3-4, and weeks 9-12 and circulating tumor cell levels at baseline and weeks 3-4. Healthy participants undergo blood collection for methylated marker analysis at baseline. An additional cohort of healthy participants undergo follow-up blood collection ≥ 1 week after baseline.
DNA methylation is measured by quantitative multiplex methylation-specific polymerase chain reaction (QM-MSP) assay.
After completion of study procedures, patients are followed every 3-4 months.
PROJECTED ACCRUAL: A total of 150 patients and 150 healthy participants will be accrued for this study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Metastatic breast cancer patients | DNA methylation analysis, microarray analysis, polymerase chain reaction, laboratory biomarker analysis |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DNA methylation analysis | Genetic | laboratory analysis |
| |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Determination if the Addition of CTCs to Serum Methylation Results in an Improved Predictive Model | 3-4 weeks |
DISEASE CHARACTERISTICS:
Meets 1 of the following criteria:
Evidence of disease progression AND initiating a new systemic treatment regimen with trastuzumab (Herceptin®), chemotherapy, endocrine therapy, or investigational agent(s) (patient)
Measurable or evaluable disease (patient)
Treated brain metastases (surgery or radiation therapy) allowed provided patient has evidence of disease stability or presence of other site(s) of measurable or evaluable disease (patient)
Hormone receptor status not specified
PATIENT CHARACTERISTICS:
PRIOR CONCURRENT THERAPY:
See Disease Characteristics
Prior therapy in the preoperative, adjuvant, and/or metastatic setting allowed
No prior radiation therapy to the only site of disease unless there is evidence of post-radiation disease progression
No selective estrogen receptor modulator or aromatase inhibitor for breast cancer prevention or therapy within the past 12 months (healthy participant)
Prior or concurrent use of raloxifene for osteopenia or osteoporosis therapy allowed (healthy participant)
Concurrent participation in another clinical trial, including one involving an investigational agent(s), allowed
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Metastatic breast cancer patients and women without a history of breast cancer (ie, healthy women or "normals')
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| Name | Affiliation | Role |
|---|---|---|
| Antonio C. Wolff, MD | Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Indiana University Melvin and Bren Simon Cancer Center | Indianapolis | Indiana | 46202-5289 | United States | ||
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27870562 | Result | 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. |
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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
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Participants were recruited at each of the participating institutions at Johns Hopkins and within the Translational Breast Cancer Research Consortium.
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| ID | Title | Description |
|---|---|---|
| FG000 | Metastatic Breast Cancer Patients | Adult women with metastatic breast cancer. |
| Title | Milestones | Reasons Not Completed | |||||
|---|---|---|---|---|---|---|---|
| Overall Study |
|
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Serum, plasma, DNA, RNA, whole blood
| microarray analysis |
| Genetic |
laboratory analysis |
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| polymerase chain reaction | Genetic | laboratory analysis |
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| laboratory biomarker analysis | Other | laboratory analysis |
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| 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 |
| COMPLETED |
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| NOT COMPLETED |
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| ID | Title | Description |
|---|---|---|
| BG000 | Metastatic Breast Cancer Patients | Adult women with metastatic breast cancer. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Median | Full Range | years |
| |||||||||||||||||
| Sex: Female, Male | Count of Participants | Participants |
| ||||||||||||||||||
| Region of Enrollment | Count of Participants | Participants |
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| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Progression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Value | 141/179 participants who completed the study were evaluable for this outcome measure. Of these, 8 participants were excluded from analysis for events experienced before week 4, 2 participants had inadequate samples for analysis and data was not collected from 3 participants. | Posted | Median | 95% Confidence Interval | months | from week 4 to up to 87 months |
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| Primary | 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. | Data to assess this outcome measure was only collected from 129/182 participants with metastatic breast cancer. | Posted | Mean | Standard Deviation | log CMI change | baseline, week 4 |
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| Primary | Effects of Common Exposures (i.e., Alcohol, Smoking, Medications, and Dietary Factors) on Patterns of Serum Methylation | Data was not collected to assess this outcome measure | Posted | 9-12 weeks |
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| Primary | Creation of a Predictive Model of DNA Methylation Profiles | Data was not collected to assess this outcome measure | Posted | 9-12 weeks |
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| Secondary | Overall Survival in Patients With a High vs. Low CMI Value | 141/179 participants who completed the study were evaluable for this outcome measure. Of these, 7 participants were excluded from analysis for events experienced before week 4, 2 participants had inadequate samples for analysis and data was not collected from 3 participants. | Posted | Median | 95% Confidence Interval | months | from week 4 to up to 3 years |
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| Secondary | Correlation of CTCs With Serum Methylation | Data was not collected for this outcome measure | Posted | 3-4 weeks |
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| Other Pre-specified | Determination if the Addition of CTCs to Serum Methylation Results in an Improved Predictive Model | Not Posted | 3-4 weeks | Participants | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Post-Hoc | Overall Survival in Participants With High CTC vs. Low CTC | overall survival in participants with high or low cumulative tumor cells (CTC). "high CTC" refers to >5 cells/7.5mL and "low CTC" refers to <5 cells/7.5mL. | Data for this outcome measure was collected from only 96 participants. | Posted | Median | 95% Confidence Interval | months | 4 weeks |
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up to 12 weeks from time of consenting to study
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Metastatic Breast Cancer Patients | Adult women with metastatic breast cancer. | 3 | 182 | 3 | 182 | 0 | 182 |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Death | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | CTCAE (3.0) | Non-systematic Assessment | Disease progression NOS |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Antonio C. Wolff, M.D. | Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins | 410-614-4192 | awolff@jhmi.edu |
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
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| ID | Term |
|---|---|
| D019175 | DNA Methylation |
| D046228 | Microarray Analysis |
| D016133 | Polymerase Chain Reaction |
| ID | Term |
|---|---|
| D008745 | Methylation |
| D000478 | Alkylation |
| D001669 | Biochemical Phenomena |
| D055598 | Chemical Phenomena |
| D008660 | Metabolism |
| D055614 | Genetic Phenomena |
| D046208 | Microchip Analytical Procedures |
| D008919 | Investigative Techniques |
| D021141 | Nucleic Acid Amplification Techniques |
| D005821 | Genetic Techniques |
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