Details

Autor(en) / Beteiligte

• DEMICHELE, Angela
• APLENC, Richard
• STADTMAUER, Edward
• REBBECK, Timothy R
• BOTBYL, Jeffrey
• COLLIGAN, Theresa
• WRAY, Lisa
• KLEIN-CABRAL, Melissa
• FOULKES, Andrea
• GIMOTTY, Phyllis
• GLICK, John
• WEBER, Barbara

Titel

Drug-Metabolizing Enzyme Polymorphisms Predict Clinical Outcome in a Node-Positive Breast Cancer Cohort

Ist Teil von

• Journal of clinical oncology, 2005-08, Vol.23 (24), p.5552-5559

Ort / Verlag

Baltimore, MD: American Society of Clinical Oncology

Erscheinungsjahr

2005

Quelle

MEDLINE

Beschreibungen/Notizen

• Adjuvant chemotherapy cures only a subset of women with nonmetastatic breast cancer. Genotypes in drug-metabolizing enzymes, including functional polymorphisms in cytochrome P450 (CYP) and glutathione S-transferases (GST), may predict treatment-related outcomes. We examined CYP3A4*1B, CYP3A5*3, and deletions in GST mu (GSTM1) and theta (GSTT1), as well as a priori-defined combinations of polymorphisms in these genes. Using a cohort of 90 node-positive breast cancer patients who received anthracycline-based adjuvant chemotherapy followed by high-dose multiagent chemotherapy with stem-cell rescue, we estimated the effect of genotype and other known prognostic factors on disease-free survival (DFS) and overall survival (OS). Patients who carried homozygous CYP3A4*1B and CYP3A5*3 variants and did not carry homozygous deletions in both GSTM1 and GSTT1 (denoted low-drug genotype group) had a 4.9-fold poorer DFS (P = .021) and a four-fold poorer OS (P = .031) compared with individuals who did not carry any CYP3A4*1B or CYP3A5*3 variants but had deletions in both GSTT1 and GSTM1 (denoted high-drug genotype group). After adjustment for other significant prognostic factors, the low-drug genotype group retained a significantly poorer DFS (hazard ratio [HR] = 4.9; 95% CI, 1.7 to 14.6; P = .004) and OS (HR = 4.8; 95% CI, 1.8 to 12.9; P = .002) compared with the high- and intermediate-drug combined genotype group. In the multivariate model, having low-drug genotype group status had a greater impact on clinical outcome than estrogen receptor status. Combined genotypes at CYP3A4, CYP3A5, GSTM1, and GSTT1 influence the probability of treatment failure after high-dose adjuvant chemotherapy for node-positive breast cancer.