Polymorphisms in CYP1B1, GSTM1, GSTT1 and GSTP1, and susceptibility to breast cancer.

Polymorphisms in the cytochrome P450 1B1 (CYP1B1) and glutathione S-transferase (GST) drug metabolic enzymes, which are responsible for metabolic activation/detoxification of estrogen and environmental carcinogens, were analyzed for their association with breast cancer risk in 541 cases and 635 controls from a North Carolina population. Each polymorphism, altering the catalytic function of their respective enzymes, was analyzed in Caucasian and African-American women. As reported in previous studies, individual polymorphisms did not significantly impact breast cancer risk in either Caucasian or African-American women. However, African-American women exhibited a trend towards a protective effect when they had at least one CYP1B1 119S allele (OR=0.53; 95% CI=0.20-1.40) and increased risk for those women harboring at least one CYP1B1 432V allele (OR=5.52; 95% CI=0.50-61.37). Stratified analyses demonstrated significant interactions in younger (age < or =60) Caucasian women with the CYP1B1 119SS genotype (OR=3.09; 95% CI=1.22-7.84) and younger African-American women with the GSTT1 null genotype (OR=4.07; 95% CI=1.12-14.80). A notable trend was also found in Caucasian women with a history of smoking and at least one valine allele at GSTP1 114 (OR=2.12; 95% CI=1.02-4.41). In Caucasian women, the combined GSTP1 105IV/VV and CYP1B1 119AA genotypes resulted in a near 2-fold increase in risk (OR=1.96; 95% CI=1.04-3.72) and the three way combination of GSTP1 105IV/VV, CYP1B1 119AS/SS and GSTT1 null genotypes resulted in an almost 4-fold increase in risk (OR=3.97; 95% CI=1.27-12.40). These results suggest the importance of estrogen/carcinogen metabolic enzymes in the etiology of breast cancer, especially in women before the age of 60, as well as preventative measures such as smoking cessation.

Polymorphisms in drug metabolism genes, smoking, and p53 mutations in breast cancer.

Polymorphisms in phase I and phase II enzymes may enhance the occurrence of mutations at critical tumor suppressor genes, such as p53, and increase breast cancer risk by either increasing the activation or detoxification of carcinogens and/or endogenous estrogens. We analyzed polymorphisms in CYP1B1, GSTM1, GSTT1, and GSTP1 and p53 mutations in 323 breast tumor samples. Approximately 11% of patients exhibited mutations in p53. Women with mutations had a significantly younger age of diagnosis (P = 0.01) and a greater incidence of tumors classified as stage II or higher (P = 0.002). More women with mutations had a history of smoking (55%) compared to women without mutations (39%). Although none of the genotypes alone were associated with p53 mutations, positive smoking history was associated with p53 mutations in women with the GSTM1 null allele [OR = 3.54; 95% CI = 0.97-12.90 P = 0.06] compared to women with the wild-type genotype and smoking history [OR = 0.62, 95% CI = 0.19-2.07], although this association did not reach statistical significance. To test for gene-gene interactions, our exploratory analysis in the Caucasian cases suggested that individuals with the combined GSTP1 105 VV, CYP1B1 432 LV/VV, and GSTM1 positive genotype were more likely to harbor mutations in p53 [OR = 4.94; 95% CI = 1.11-22.06]. Our results suggest that gene-smoking and gene-gene interactions may impact the prevalence of p53 mutations in breast tumors. Elucidating the etiology of breast cancer as a consequence of common genetic polymorphisms and the genotoxic effects of smoking will enable us to improve the design of prevention strategies, such as lifestyle modifications, in genetically susceptible subpopulations.

EGFR associated expression profiles vary with breast tumor subtype.

BACKGROUND: The epidermal growth factor receptor (EGFR/HER1) and its downstream signaling events are important for regulating cell growth and behavior in many epithelial tumors types. In breast cancer, the role of EGFR is complex and appears to vary relative to important clinical features including estrogen receptor (ER) status. To investigate EGFR-signaling using a genomics approach, several breast basal-like and luminal epithelial cell lines were examined for sensitivity to EGFR inhibitors. An EGFR-associated gene expression signature was identified in the basal-like SUM102 cell line and was used to classify a diverse set of sporadic breast tumors. RESULTS: In vitro, breast basal-like cell lines were more sensitive to EGFR inhibitors compared to luminal cell lines. The basal-like tumor derived lines were also the most sensitive to carboplatin, which acted synergistically with cetuximab. An EGFR-associated signature was developed in vitro, evaluated on 241 primary breast tumors; three distinct clusters of genes were evident in vivo, two of which were predictive of poor patient outcomes. These EGFR-associated poor prognostic signatures were highly expressed in almost all basal-like tumors and many of the HER2+/ER- and Luminal B tumors. CONCLUSION: These results suggest that breast basal-like cell lines are sensitive to EGFR inhibitors and carboplatin, and this combination may also be synergistic. In vivo, the EGFR-signatures were of prognostic value, were associated with tumor subtype, and were uniquely associated with the high expression of distinct EGFR-RAS-MEK pathway genes.

Radiation clastogenesis and cell cycle checkpoint function as functional markers of breast cancer risk.

BACKGROUND: Familial breast cancer is associated with mutations in several genes (BRCA1, BRCA2, p53, ATM) whose protein products protect against radiation-induced genotoxicity. This study tested whether sporadic breast cancer was associated with constitutive radiation hypersensitivity. METHODS: Blood lymphocytes and EBV-transformed lymphoblasts from patients with newly diagnosed breast cancer and controls without cancer were evaluated for ionizing radiation (IR)-induced chromosomal aberrations and cell cycle delays. Lymphoblasts from patients with ataxia telangiectasia (AT) and heterozygous AT carriers were tested as positive controls for radiation hypersensitivity. RESULTS: Lymphoblasts from AT patients and AT carriers displayed G2-irradiation, chromosomal hypersensitivity (GICH). Irradiated G2 phase lymphocytes from breast cancer cases and controls displayed 3-fold inter-individual variation in frequencies of chromatid damage. However, the percentage of breast cancer cases with damage frequencies in excess of 2 SD of the control mean (8/102 or 8%) was not significantly elevated compared to controls (2/48 or 4%, P=0.5). Lymphoblasts sampled 24 h after 3 Gy of IR also varied in the ratios of cells with 4N and 2N DNA content (4N/2N ratio), as a measure of cell cycle checkpoint function. 4N/2N ratios in irradiated lymphoblasts were strongly correlated with the fractions of S phase cells in un-irradiated control cultures (Pearson's correlation coefficient, r=0.87). After normalization to S fraction, the radiation-induced increment in the 4N/2N ratio was significantly elevated in AT lymphoblasts but not in lymphoblasts from AT carriers. The fraction of breast cancer cases with reduced checkpoint function (2/45 or 4%) was equal to the control fraction (2/45 or 4%). For breast cancer cases and controls, GICH in primary lymphocytes was not associated with reduced cell cycle checkpoint function in lymphoblasts. CONCLUSION: Constitutive radiation hypersensitivity in blood lymphocytes and lymphoblasts was not a useful biomarker for identifying women at increased risk of breast cancer.

Axillary lymph node count is lower after neoadjuvant chemotherapy.

BACKGROUND: Retrieval of fewer than 10 lymph nodes at axillary dissection (ALND) for breast cancer can represent anatomic variation or inadequate dissection. We postulated that despite aggressive ALND, a lower lymph node count is more frequent after neoadjuvant chemotherapy. METHODS: Patients who received neoadjuvant chemotherapy followed by ALND were compared with patients who received surgery first. All patients received a level I and II ALND at a single institution by one of the breast surgeons. The number of nodes retrieved at ALND was dichotomized into categories (< 10 and > or = 10), and compared using Fisher exact test. RESULTS: A total of 143 neoadjuvant and 170 surgery-first patients were studied. Patients treated with neoadjuvant chemotherapy were significantly more likely to have fewer than 10 lymph nodes retrieved at ALND than were the surgery-first patients (19/143 or 13% vs. 6/170 or 4%, P = .003). CONCLUSIONS: A low lymph node count is more common in patients after treatment with neoadjuvant chemotherapy and should not be assumed to represent an incomplete ALND.

The molecular portraits of breast tumors are conserved across microarray platforms.

BACKGROUND: Validation of a novel gene expression signature in independent data sets is a critical step in the development of a clinically useful test for cancer patient risk-stratification. However, validation is often unconvincing because the size of the test set is typically small. To overcome this problem we used publicly available breast cancer gene expression data sets and a novel approach to data fusion, in order to validate a new breast tumor intrinsic list. RESULTS: A 105-tumor training set containing 26 sample pairs was used to derive a new breast tumor intrinsic gene list. This intrinsic list contained 1300 genes and a proliferation signature that was not present in previous breast intrinsic gene sets. We tested this list as a survival predictor on a data set of 311 tumors compiled from three independent microarray studies that were fused into a single data set using Distance Weighted Discrimination. When the new intrinsic gene set was used to hierarchically cluster this combined test set, tumors were grouped into LumA, LumB, Basal-like, HER2+/ER-, and Normal Breast-like tumor subtypes that we demonstrated in previous datasets. These subtypes were associated with significant differences in Relapse-Free and Overall Survival. Multivariate Cox analysis of the combined test set showed that the intrinsic subtype classifications added significant prognostic information that was independent of standard clinical predictors. From the combined test set, we developed an objective and unchanging classifier based upon five intrinsic subtype mean expression profiles (i.e. centroids), which is designed for single sample predictions (SSP). The SSP approach was applied to two additional independent data sets and consistently predicted survival in both systemically treated and untreated patient groups. CONCLUSION: This study validates the "breast tumor intrinsic" subtype classification as an objective means of tumor classification that should be translated into a clinical assay for further retrospective and prospective validation. In addition, our method of combining existing data sets can be used to robustly validate the potential clinical value of any new gene expression profile.

Size of residual lymph node metastasis after neoadjuvant chemotherapy in locally advanced breast cancer patients is prognostic.

BACKGROUND: The prognostic significance of micrometastasis after neoadjuvant chemotherapy for locally advanced breast cancer is unknown. We examined the residual lymph node metastasis size in patients after treatment with neoadjuvant chemotherapy to determine the relevance of metastasis size on outcome. METHODS: Stage II/III breast cancer patients treated with neoadjuvant chemotherapy at our institution from 1991 to 2002 were included. We examined the relationship of postneoadjuvant chemotherapy lymph node metastasis size and number with distant disease-free survival (DDFS) and overall survival (OS). RESULTS: In 122 patients with a median follow-up of 5.4 years, we found not only that patients with an increasing number of residual positive nodes had progressively worse DDFS and OS (P < .0001 for both) compared with patients with negative nodes, but also that the size of the largest lymph node metastasis was associated with worse DDFS and OS (P < .0001 for both) in both univariate and multivariate analysis. Compared with negative nodes, even lymph node micrometastasis (<2 mm) was associated with worsened DDFS and OS (adjusted P = .02 and P = .005, respectively). CONCLUSIONS: Residual micrometastatic disease in the axillary lymph nodes after neoadjuvant chemotherapy is predictive of worse prognosis than negative nodes. In this study, the lymph node metastasis size and the number of involved lymph nodes were independent powerful predictors of DDFS and OS.