Skip to content

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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00899548
Enrollment
182
Registered
2009-05-12
Start date
2007-01-31
Completion date
2016-10-31
Last updated
2019-07-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer

Keywords

stage IV breast cancer, recurrent breast cancer

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.

Detailed description

OBJECTIVES: Primary * Identify a panel of methylated gene markers in serum from women with metastatic breast cancer that is significantly different from that observed in healthy participants. * Assess changes in a panel of methylated gene markers from baseline, after 3-4 weeks, and after 9-12 weeks of systemic therapy in patients with metastatic breast cancer. * Determine the potential effects of common exposures (i.e., alcohol, smoking, medications, and dietary factors) on patterns of serum methylation in patients with metastatic breast cancer and in healthy participants. * Develop a predictive model using DNA methylation profiles in serum that predicts clinical outcome for an individual patient with metastatic disease. Secondary * Correlate circulating tumor cells (CTCs) with clinical outcome in patients with metastatic breast cancer. * Correlate CTCs with serum methylation in these patients. * Determine if the addition of CTCs to serum methylation results in an improved predictive model. 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.

Interventions

GENETICDNA methylation analysis

laboratory analysis

GENETICmicroarray analysis

laboratory analysis

GENETICpolymerase chain reaction

laboratory analysis

OTHERlaboratory biomarker analysis

laboratory analysis

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

DISEASE CHARACTERISTICS: * Meets 1 of the following criteria: * Histologically and/or cytologically confirmed stage IV adenocarcinoma of the breast (patient) * No diagnosis of an abnormal breast biopsy (including atypical ductal or lobular hyperplasia), or new diagnosis of breast cancer or breast cancer recurrence within the past five years (healthy participant) * Evidence of disease progression AND initiating a new systemic treatment regimen with trastuzumab (Herceptin®), chemotherapy, endocrine therapy, or investigational agent(s) (patient) * Treatment may be given as a single agent or in combination * Measurable or evaluable disease (patient) * Measurable disease is defined as ≥ 1 measurable lesion identified by RECIST criteria * Patients with evaluable disease only must have ≥ 1 tumor marker (e.g., carcinoembryonic antigen, CA 27-29, or CA 15-3) above normal level * 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) * No leptomeningeal disease * Hormone receptor status not specified PATIENT CHARACTERISTICS: * Female * Menopausal status not specified * ECOG performance status 0-2 * No known cancer within the past 5 years other than basal cell or squamous cell carcinoma of the skin and/or adequately treated cervical cancer (healthy participant) * Not pregnant or nursing PRIOR CONCURRENT THERAPY: * See Disease Characteristics * Prior therapy in the preoperative, adjuvant, and/or metastatic setting allowed * Any number of prior regimens in any 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

Design outcomes

Primary

MeasureTime frameDescription
Progression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Valuefrom week 4 to up to 87 months
Changes in Methylated Gene Markers as Measured by Cumulative Methylation Indexbaseline, week 4log 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.
Effects of Common Exposures (i.e., Alcohol, Smoking, Medications, and Dietary Factors) on Patterns of Serum Methylation9-12 weeks
Creation of a Predictive Model of DNA Methylation Profiles9-12 weeks

Secondary

MeasureTime frame
Correlation of CTCs With Serum Methylation3-4 weeks
Overall Survival in Patients With a High vs. Low CMI Valuefrom week 4 to up to 3 years

Other

MeasureTime frame
Determination if the Addition of CTCs to Serum Methylation Results in an Improved Predictive Model3-4 weeks

Countries

United States

Participant flow

Recruitment details

Participants were recruited at each of the participating institutions at Johns Hopkins and within the Translational Breast Cancer Research Consortium.

Participants by arm

ArmCount
Metastatic Breast Cancer Patients
Adult women with metastatic breast cancer.
182
Total182

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyPhysician Decision3

Baseline characteristics

CharacteristicMetastatic Breast Cancer Patients
Age, Continuous56 years
Region of Enrollment
United States
182 Participants
Sex: Female, Male
Female
182 Participants
Sex: Female, Male
Male
0 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
3 / 182
other
Total, other adverse events
0 / 182
serious
Total, serious adverse events
3 / 182

Outcome results

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.

Time frame: baseline, week 4

Population: Data to assess this outcome measure was only collected from 129/182 participants with metastatic breast cancer.

ArmMeasureValue (MEAN)Dispersion
Metastatic Breast Cancer Patients -- CMI HighChanges in Methylated Gene Markers as Measured by Cumulative Methylation Index-1.20 log CMI changeStandard Deviation 1.84
Comparison: Hazard ratiop-value: 0.00195% CI: [1.07, 1.32]Regression, Cox
Primary

Creation of a Predictive Model of DNA Methylation Profiles

Time frame: 9-12 weeks

Population: Data was not collected to assess this outcome measure

Primary

Effects of Common Exposures (i.e., Alcohol, Smoking, Medications, and Dietary Factors) on Patterns of Serum Methylation

Time frame: 9-12 weeks

Population: Data was not collected to assess this outcome measure

Primary

Progression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Value

Time frame: from week 4 to up to 87 months

Population: 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.

ArmMeasureValue (MEDIAN)
Metastatic Breast Cancer Patients -- CMI HighProgression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Value2.1 months
Metastatic Breast Cancer Patients -- CMI LowProgression-free Survival in Patients With a High vs. Low Cumulative Methylation Index (CMI) Value5.8 months
p-value: 0.000295% CI: [1.23, 2.52]Gehan
Secondary

Correlation of CTCs With Serum Methylation

Time frame: 3-4 weeks

Population: Data was not collected for this outcome measure

Secondary

Overall Survival in Patients With a High vs. Low CMI Value

Time frame: from week 4 to up to 3 years

Population: 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.

ArmMeasureValue (MEDIAN)
Metastatic Breast Cancer Patients -- CMI HighOverall Survival in Patients With a High vs. Low CMI Value12.3 months
Metastatic Breast Cancer Patients -- CMI LowOverall Survival in Patients With a High vs. Low CMI Value21.7 months
p-value: 0.00195% CI: [1.18, 2.45]Gehan
Other Pre-specified

Determination if the Addition of CTCs to Serum Methylation Results in an Improved Predictive Model

Time frame: 3-4 weeks

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.

Time frame: 4 weeks

Population: Data for this outcome measure was collected from only 96 participants.

ArmMeasureGroupValue (MEDIAN)
Metastatic Breast Cancer Patients -- CMI HighOverall Survival in Participants With High CTC vs. Low CTCHigh CTC (>5 cells/7.5 mL)8.1 months
Metastatic Breast Cancer Patients -- CMI HighOverall Survival in Participants With High CTC vs. Low CTCLow CTC (<5 cells/7.5 mL)20.8 months

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026