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Biomarkers in Predicting Response to Tamoxifen and Letrozole in Postmenopausal Women With Primary Breast Cancer Treated on Clinical Trial CAN-NCIC-MA17

Quantitative Protein and Gene Expression Biomarkers of Tamoxifen and Letrozole Recurrence in the NCIC CTG MA.17 Cohort

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00897065
Enrollment
957
Registered
2009-05-12
Start date
2006-06-30
Completion date
Unknown
Last updated
2013-07-10

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

Conditions

Breast Cancer

Keywords

stage IA breast cancer, stage IB breast cancer, stage II breast cancer, stage IIIA breast cancer, estrogen receptor-positive breast cancer, progesterone receptor-positive breast cancer

Brief summary

RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how well patients respond to treatment. PURPOSE: This laboratory study is looking at biomarkers that may predict response to tamoxifen and letrozole in postmenopausal women with primary breast cancer treated on clinical trial CAN-NCIC-MA17.

Detailed description

OBJECTIVES: * Assess the prognostic utility of the MGH 2-gene and the GHI 21-gene expression signatures in postmenopausal women with primary breast cancer treated with tamoxifen followed by either placebo or letrozole on clinical trial CAN-NCIC-MA17. * Assess the ability of the MGH 2-gene and the GHI 21-gene expression signatures to predict responsiveness to letrozole. * Compare the prognostic utility of quantitative immunofluorescence vs standard immunohistochemistry of estrogen receptor, progesterone receptor, HER-2, tumor aromatase, cyclooxygenase-2, GATA-3, and NAT-1 in these patients. * Assess the ability of quantitative immunofluorescence and standard immunohistochemistry of these proteins to predict responsiveness to letrozole in these patients. * Use gene discovery from formalin-fixed, paraffin-embedded tumor specimens to identify novel gene expression profiles that may predict outcome and responsiveness to letrozole in these patients. OUTLINE: This is a controlled study. Formalin-fixed, paraffin-embedded breast tumor tissue samples are analyzed for MGH 2-gene and GHI 21-gene expression signatures using real-time quantitative polymerase chain reaction. Immunohistochemistry and immunofluorescence are used for analysis of estrogen receptor, progesterone receptor, HER-1 and -2, aromatase, GATA-3, NAT-1, and cyclooxygenase-2. Microarray hybridization is used to identify novel gene expression signatures. PROJECTED ACCRUAL: A total of 957 specimens will be accrued for this study.

Interventions

GENETICmicroarray analysis
GENETICpolymerase chain reaction
GENETICprotein expression analysis
OTHERdiagnostic laboratory biomarker analysis
OTHERimmunohistochemistry staining method
OTHERimmunologic technique

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Massachusetts General Hospital
Lead SponsorOTHER

Eligibility

Sex/Gender
FEMALE
Healthy volunteers
No

Inclusion criteria

DISEASE CHARACTERISTICS: * Histologically or cytologically confirmed primary invasive breast carcinoma resected at time of original diagnosis * Treated on clinical trial CAN-NCIC-MA17 * Hormone receptor status: * Estrogen or progesterone receptor positive tumor PATIENT CHARACTERISTICS: * Female * Postmenopausal PRIOR CONCURRENT THERAPY: * Not specified

Design outcomes

Primary

MeasureTime frame
Prognostic utility of the MGH 2-gene and the GHI 21-gene expression signatures
Ability of the MGH 2-gene and the GHI 21-gene expression signatures to predict responsiveness to letrozole
Prognostic utility of quantitative immunofluorescence vs standard immunohistochemistry of estrogen receptor, progesterone receptor, HER-2, tumor aromatase, cyclooxygenase-2, GATA-3, and NAT-1
Ability of quantitative immunofluorescence and standard immunohistochemistry of these proteins to predict responsiveness to letrozole
Novel gene expression profiles that may predict outcome and responsiveness to letrozole

Countries

United States

Outcome results

None listed

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