Abstract Background: Mammographic density, the variation in fat, epithelial and stromal tissues seen on screening mammography, is a strong risk factor for breast cancer and can be modified by hormonal agents. Changes in density from tamoxifen or postmenopausal hormone (PMH) use are associated with risk, suggesting that density may be a surrogate marker of therapeutic efficacy. Aromatase inhibitors (AIs) are given as adjuvant therapy in hormone receptor positive postmenopausal breast cancer and are known to decrease levels of estrone and estradiol in both serum and breast tissue. Our goal here was to examine the influence of AIs on mammographic density in women with early breast cancer. Methods: We conducted a case-control study of postmenopausal breast cancer patients initiating adjuvant AI therapy (anastrozole or exemestane) on protocols NCIC CTG MA27, NCCTG N063I and MC (Mayo Clinic) 0532. Eligibility included; an intact contralateral breast with no prior surgery; a screening mammogram within twelve months before AI initiation and at 9-15 months on therapy; no prior endocrine therapy and informed consent. Controls were sampled from the Mayo Mammography Health Study, a cohort of 19,924 receiving screening mammography at the Mayo Clinic, and matched to cases on age, prior PMH use, baseline body mass index (BMI) and interval between mammograms. Pre-treatment and on-study mammograms for cases (corresponding mammograms for controls) were digitized. Change in percent density was estimated on the craniocaudal view of the non-cancerous breast using two methods: a subjective assessment of change by an expert radiologist (within 5%; 5-10% increase, 10-25% increase, 25%+ increase, 5-10% decrease, 10-25% decrease and 25%+ decrease) and a quantitative assessment of absolute change using a computer-assisted thresholding program (Cumulus). Analyses compared magnitude of change in density by both the subjective and quantitative methods between cases and matched controls. Results: 574 pairs were eligible for analyses (MA27-505 cases; N063I-12 cases; MC0532-57 cases). Characteristics of the two groups are shown in the table below. Using either density estimation method, there was a greater decrease in density among women on AI therapy vs. matched controls. In 33% (95% CI: 29-37%) of pairs, there was at least a one greater category decrease for the case relative to her control by subjective estimation. In 14% (95% CI: 11-18%) of the pairs, there was at least a 5% greater decrease for the case relative to her control by quantitative estimation. Data will be available according to AI class (non-steroidal versus steroidal) in November. Conclusions: In the largest report to date to examine the influence of AI therapy on mammographic density, we provide evidence that AI is associated with decreases in density in a small subgroup of women. We are currently examining factors that influence these AI-associated decreases in density and whether these differences are unique to one class of AI. (Supported in part by NIH grants P50CA116201, U01GM61388, U10CA77202, U10CA25224) Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P2-09-03.
Abstract 2403: Glycosylated (Tn) and Anchor-Modified MUC1 Peptide Vaccines Induce Effective Anti tumor Immunity and Break Tolerance in MUC1 Transgenic Mice
Abstract MUC1 is an excellent target for immunotherapeutic strategies for cancers expressing Mucin 1 (breast, pancreas etc). MUC1 was recently selected by the NCI working group as the number 2 cancer vaccine target antigen, based on its immunogenicity, oncogenicity and wide-spread cell-surface expression. More than 90% of breast cancers over express MUC1, it stimulates both humoral and cellular immunity, its normal apical distribution is lost in cancer cells and aberrant glycosylation exposes peptide epitopes and novel carbohydrate antigens. Clinical trials using unglycosylated MUC1 epitopes have resulted in MUC1 specific cytotoxic T lymphocytes (CTLs) with limited effects on clinical response. Patients with breast tumors have exhibited spontaneous immune responses to MUC1 with the presence of T cells and antibodies specific for glycosylated MUC1. Because these natural immune responses are often not efficient in eradicating the tumor, it is necessary to specifically modulate these immune responses. Hence it is possible that better immunogenicity would be obtained using peptides more representative of the novel (glycosylated) forms of MUC1 as seen in cancer to which individuals may be less tolerant. The presentation of antigenic peptides by MHC class I molecules is crucial for the development of vaccines. MUC1 peptides from the VNTR region, which has five potential glycosylation sites, can be presented by a variety of class I molecules and can generate MUC1 specific CTLs. But these epitopes lack definite anchors and bind with low affinity compared to high affinity peptides. Hence, we developed several peptides from the MUC1 H-2Kb peptide (SAPDTRPAP) epitope with all possible modifications to improve their MHC and TCR binding efficiency. Preclinical studies were performed using the modified H-2Kb-restricted peptides along with the DC stimulants (CpG-ODN and GM-CSF) and foreign helper epitope (hepatitis B virus optimized I-Ab T helper peptide) in incomplete Freund's adjuvant in C57BL/6 mice transgenic for human MUC1. Peptides that were glycosylated at threonine and had methionine or leucine as the terminal amino acid induced a strong CTL response and were able to overcome tolerance in MUC1.Tg.mice. In the breast cancer model with the MUC1- expressing MMT cell line, the onset of tumor was delayed with peptide immunization and there was significant reduction in the tumor weight. Increased lytic activity of CD8+ CTLs and infiltration of T lymphocytes to the tumor site were observed with modified peptides as compared to the effect of MHC class I Kb and Db restricted native MUC1 peptides. Interestingly, the CTLs specific for glycosylated peptides were able to recognize both the Tn (GalNAc) and peptide epitopes. Thus, MUC1 peptides with carbohydrate at the appropriate position may be an optimal vaccine candidate because they can generate CTLs of dual specificity and high affinity. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2403.
Results of Chemotherapy Alone, with Sequential or Concurrent Addition of 52 Weeks of Trastuzumab in the NCCTG N9831 HER2-Positive Adjuvant Breast Cancer Trial.
Abstract Background: N9831 is the only randomized phase III trial comparing safety and efficacy of the addition of trastuzumab (H) to doxorubicin and cyclophosphamide then paclitaxel (Arm A: AC→T) either following (Arm B: AC→T→H) or starting concurrently with paclitaxel (Arm C: AC→T+H→H) for women with resected Stage I-III invasive HER2+ breast cancer. The 3 yr cumulative incidence of NYHA class III or IV congestive heart failure or sudden cardiac death was previously reported: 3.3% in Arm C, 2.8% in Arm B (Perez EA, et al. JCO 2008). The comparison of AC→T to AC→T+H→H was reported in a joint analysis of N9831 and NSABP B-31 in 2005 and updated in 2007, demonstrating a 52% reduction in risk of a disease event (Romond E et al., NEJM 2005; Perez EA, et al. ASCO 2007).Materials and Methods: Primary endpoint is disease-free survival (DFS). At the second planned interim analysis of Arm A vs. Arm B, the O’Brien-Fleming boundary (OFB) was crossed. NCCTG Independent Data Safety Monitoring Committee approved the release of these data as well as the data pertaining to Arm B vs. Arm C due to slow pace of events [expected 647 events in 4 yr follow-up period (f/u) vs. actual 334 events in 4.5 yr f/u]. Shortly thereafter, there were sufficient events to perform the first planned interim analysis of B vs. C. We present the results of each of these pairwise comparisons taking into account the potential for crossover to Arm C after the release of the joint analysis findings in 2005.Results: From 5/2000 to 4/2005, 2448 eligible women were enrolled for the Arm A (n=1087) vs. Arm B (n=1097) comparison. Median f/u is 5.5 yrs. with 386 events. The addition of trastuzumab sequentially to AC→T significantly improved DFS, univariately [HR(Arm B/Arm A)=0.70, 95% CI: 57-86%, logrank p=0.0005] and after adjusting for age, tumor size, number of positive nodes, and ER [PPH: HRadj=0.67 (95% CI: 0.55-0.82)]. 5 yr DFS was increased from 72% with AC→T to 80% with AC→T →H.From 5/2000 to 4/2005, 1903 eligible women were enrolled for the Arm B (n=954) vs. Arm C (n=949) comparison. Median f/u is 5.3 yrs. with 312 events. The log-rank p-value testing whether DFS differs with respect to starting time of trastuzumab was 0.019. [Not crossing pre-specified OFB for statistical significance]. After adjusting for tumor size, number of positive nodes, and ER, HRadj(Arm C/Arm B)=0.75 (95% CI: 0.60-0.94)]. 5 yr DFS was increased from 80% with AC→T →H to 84% for AC→T+H →H.Conclusions: DFS is significantly improved with the addition of 52 weeks of H (sequentially or concurrently) to AC→ T. There is a statistically significant 33% reduction in the risk of an event with the sequential addition of H following AC→T. There is a strong trend for a 25% reduction in the risk of an event with starting H concurrently with T relative to sequentially after T. Therefore, based on a positive risk/benefit ratio, we recommend that trastuzumab be incorporated in a concurrent fashion with T chemotherapy.Acknowledgements: NIH CA25224, Breast Cancer Research Foundation, Genentech. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 80. NOTE: This abstract was accepted for presentation at the Symposium after the Abstract Book went to press.
Tumor Ki67 Proliferation Index within 4 Weeks of Initiating Neoadjuvant Endocrine Therapy for Early Identification of Non-Responders.
Abstract Background: The Preoperative Endocrine Prognostic Index (PEPI) scores the independent prognostic effects of tumor pathologic staging and expression levels of ER and the “proliferation” marker Ki67 in the surgical sample to predict long term outcomes after completion of neoadjuvant endocrine treatment (Ellis et al JNCI 100:1380, 2008). A limitation of the PEPI is that the prognostic information becomes available only after 4 months of treatment. We therefore evaluated the value of an early assessment of the Ki67 level in a tumor biopsy sample taken two to four weeks after initiating treatment in two neoadjuvant endocrine therapy trials for the purposes of the early identification of non- respondersMethods: A Ki67 cut point of greater than 10% for poor outcome in ER+ breast cancer was derived by comparing the PAM50 intrinsic subtype profile using a qRT-PCR assay with Ki67 data in a 700+ sample data set. A baseline level of 10% or less correlated most closely with a PAM50-based definition of LumA breast cancer and above 10% LumB breast cancer. We subsequently applied the 10% cut point to the baseline and early on-treatment Ki67 data in two trials, POL (Olson et al JACS 208:906, 2009) and IMPACT (Smith et al JCO: 23, 5108, 2005).Results: At baseline the dichotomized Ki67 definition was not significantly predictive for surgical Ki67 level, PEPI score or RFS in this modest size sample set. In contrast, in a result that emphasizes the enhaced prognostic properties of the on-treatment Ki67 approach, the one month POL sample Ki67 values (62 patients) predicted a higher level of Ki67 in the surgical samples at four months after treatment initiation (P=.01), a poorer PEPI score (P=0.01), a smaller number of patients in the PEPI risk point zero group (P=0.08) and worse relapse free survival (P=0.003). The IMPACT data (153 patients) confirmed that a two week Ki67 >10% predicted higher Ki67 in the surgical specimen (P=0.001), a poorer PEPI score (P=0.001), smaller numbers of patients in the PEPI 0 risk point group (P= 0.004) and worse relapse free survival (P=0.008).Ki67 and OutcomePOL 4W Ki67% PEPI 0RFS (events)10%>1/19 (5%)5/21 (23%)10%≤10/36 (28%)1/41 (2.4%)P ValueP=0.08 (Fisher)P=0.003 (log rank)IMPACT 2W Ki67% PEPI 0RFS (events)10%>0/32 (0%)9/35 (26%)10%≤21/101 (21%)13/118 (11%)P ValueP=0.004 (Fisher)P=0.008 (log rank) Conclusions: A tumor Ki67 assessment taken a short time (2 to 4 week window) after the initiation of neoadjuvant AI identifies patients with poor outcome ER+ disease. Amendment 6 of the neoadjuvant endocrine therapy protocol ACOSOG Z1031 will triage patients with an “on treatment” Ki67 value above 10% to chemotherapy in order to assess the pathological response rate to cytotoxic therapy in this important tumor subset.Supported by R01 CA095614, Avon PFP award 3P50 CA68438-07S2, U01 CA114722, ACOSOG U10 CA 76001, Breakthrough Cancer UK and AstraZenica (IMPACT trial). Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 78.
Examination of Immune Competence in Breast Cancer Patients at Six Months Post Surgery and Adjuvant Therapy through Assessment of T Cell and Dendritic Cell Functionality.
Abstract It has long been known that immune suppression is induced by the presence of a tumor, resulting in compromised T cell and dendritic cell (DC) functionality. What is not well understood is how soon the immune system recovers normal functionality following surgical removal of tumors and adjuvant therapy. This timing is of critical importance, as the effectiveness of therapeutic immune strategies relies on optimal presentation of antigens and activation of T cells. Blood from breast cancer patients was collected prior to surgery and at 3 and 6 months post adjuvant therapy. Patients were treated with surgery (breast conservation or mastectomy) and chemotherapy (CT) (n=22) or surgery without chemotherapy (n=38). Most patients had radiation therapy (RT). Blood from 22 healthy woman of similar age served as controls. T cell functionality (TCF) was determined following stimulation with plate-bound anti-CD3 (1 µg/ml) and anti-CD28 (0.5 µg/ml) and proliferation was measured by 3H-thymidine uptake. DC functionality (DCF) was determined by ability to present allo-antigens in a mixed lymphocyte reaction. Values for the normal samples determined the normal ranges (NR). Responses were grouped into 4 categories based on their status at 6 months: Group 1 - remained in NR; Group 2 - climbed into NR; Group 3 - remained below NR; Group 4 - fell below NR. Analysis of immunosuppression will be based on lymphocyte subsets, cytokine, COX-2, and PGE2 metabolite levels.T Cell Proliferation AllWith CTNo CT N=60N=22N=38Group 120%14%24%Group 223%23%24%Group 338%41%37%Group 418%23%16% DC Function AllWith CTNo CT N=58N=20N=38Group 143%35%47%Group 219%25%16%Group 317%15%18%Group 421%25%18% Forty-three percent of patients had normal levels (Groups 1 and 2) for TCF and 62% for DCF by 6 months post adjuvant therapy, suggesting that breast cancer patients are potentially amenable to vaccine therapy. 28% of patients had both TCF and DCF in NR; 50% had either TCF or DCF in NR; and 22% had neither in NR. The percentage of patients who had TCF in NR by adjuvant therapy was: 35% CT+RT (6/17); 33% CT (1/3); 52% (17/33) RT; and 20% (1/5) neither. The percentage of patients who had DCF in NR by adjuvant therapy was: 67% (10/15) CT+RT; 33% (1/3) CT; 67% (22/33) RT; and 40% (2/5) neither. Proper understanding of the effects of tumor, chemotherapy and radiation therapy on immune function, especially the effects on T cells and DCs, may enable us to identify the appropriate patients in whom to study immunotherapy approaches in women with early breast cancer and to examine strategies to counteract cancer-related defects in immune function. (supported by P50CA116201) Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 4131.
Tamoxifen, HER2, and Endoxifen: The Role of CYP2D6 as a Predictor of Tamoxifen Resistance in ER+/HER2+ Breast Cancer.
Abstract Background: Endoxifen, the active metabolite of tamoxifen (Tam), is currently being developed as a drug for the treatment of estrogen receptor (ER) + breast cancer (BC). HER2 expression in ER+ BC is associated with Tam resistance, and in vivo Tam administration to mice bearing ER+/HER2+ xenografts stimulates BC growth (Shou, JNCI 2004). In humans, endoxifen is the most important Tam metabolite responsible for inhibiting estrogen induced BC growth (Wu, Cancer Research 2009). CYP2D6 metabolism affects the concentrations (conc) of endoxifen (Stearns, JNCI, 2003) and associated with worse disease free survival (DFS) in Tam treated BC (Goetz, JCO, 2005). We sought to determine the activity of Tam and its metabolites in ER+/HER2+ BC cell lines and to evaluate the role of CYP2D6 metabolism in Tam-treated patients (pts) with ER+/HER2+ BC. Additionally, we sought to determine endoxifen conc in mice administered oral Tam.Methods: MCF7 (parental and HER2-expressing) and BT474 (ER+/HER2+) cells were used to compare the activity of Tam, 4HT, and endoxifen on estrogen- stimulated growth. Oral tam PK were characterized in mice treated with standard dose of Tam (4 mg/kg; 100 μg). Clinical data were obtained via a retrospective analysis of Tam-treated pts with ER+/ HER2+ BC randomized to receive 5 years of Tam (NCCTG 89-30-52). CYP2D6 metabolism (extensive or decreased) was based on CYP2D6 genotype (*3, 4, 6, 10, 17, 41) and co-administration of a CYP2D6 inhibitor (yes/no). HER2 was determined by immunohistochemistry (IHC) or FISH (tumors 0, 1, or 2+ by IHC). The association between CYP2D6 and DFS was assessed using the log-rank test and proportional hazards modeling.Results: Compared to Tam, endoxifen potently inhibited the growth of estrogen- stimulated BT474 cells. In MCF7 cells, expression of HER2 shifted the conc of endoxifen required for 50% inhibition of growth (IC50) from 54 nM (parental) to 131 nM (HER2 expressing). Using the range of conc of Tam and its metabolites observed in humans (Tam, 300-500 nM; 4HT, 5-10 nM; and endoxifen, 10-200 nM), only endoxifen potently inhibited estrogen- stimulated growth of MCF7HER2+ cells and only at conc achievable in CYP2D6 extensive metabolizers (>50nM). In mice, conc of 4HT and endoxifen were below 15 nM following an oral dose of 4 mg/kg. In NCCTG 89-30-52, both CYP2D6 phenotype and HER2 status was determined in 201/256 randomized pts. HER2 was expressed in 23/215 (11%) but not associated with DFS overall (p=0.62). In the HER2+ subset, pts with decreased CYP2D6 metabolism (n=10) had significantly shorter DFS compared to extensive metabolizers (n=9) (HR 9.5, p=0.03; 95% CI 1.16-76.9).Conclusions: Our in vitro and clinical data provide a simple pharmacological model for understanding HER2 resistance in Tam-treated breast cancer. Mice, which lack the CYP2D6 enzyme, may not be an appropriate model for understanding tam resistance given low conc of both 4HT and endoxifen. Given that the in vitro conc of endoxifen needed to inhibit the growth of ER+/HER-2+ BC are achievable in only a subset of humans (CYP2D6 extensive metabolizers), the primary administration of endoxifen could overcome de novo Tam resistance in ER+/HER2+ BC. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 2006.
Meta-analysis of adverse event rates in 15 North Central Cancer Treatment Group phase II metastatic breast cancer clinical trials for the development of adverse event stopping rules.
Abstract Abstract #6149 Background: Internal Review Boards and Data and Safety Monitoring Boards often require protocol-specified adverse event (AE) stopping rules for safety monitoring. However, availability of safety data for investigational agent(s) may be limited at the time of protocol development in the phase II setting. This meta-analysis was undertaken to quantify the variability of AE rates in North Central Cancer Treatment Group (NCCTG) phase II metastatic breast cancer (MBC) clinical trials and to investigate whether study factors are associated with AE rates for the development of AE stopping rules in future phase II clinical trials.
 Methods: All closed NCCTG phase II MBC clinical trials using CTC v2.0 or CTCAE v3.0 for AE monitoring were selected. Rates of G3/4 AEs (overall, hematologic [H], and non-hematologic [NH]) and of study discontinuation [SD] due to AEs were calculated for each trial. Associations between study factors [number of agents (single vs combination); line of therapy (first-line only vs other); and type of therapy (chemotherapy vs other)] and AE rates were assessed via Wilcoxon rank sum tests.
 Results: 15 trials met inclusion criteria. 7 used CTCAE v3.0; 6 investigated single agents; 5 investigated first-line therapy; and 11 investigated chemotherapy regimens. 694 pts were evaluable for AE analysis. The G3/4 AE rate across trials was 68% (16-98%) overall, 45% (0-96%) H, and 51% (16-78%) NH. The overall rate of SD due to AEs was 13% (0-40%). The overall rate of G3/4 AEs was significantly lower in single agents vs combination regimens (30% vs 86%, p=0.004). This association held for H (2% vs 66%, p<0.0001) and NH (27% vs 57%, p=0.03) Aes. The rate of SD due to AEs was also significantly lower in single agents vs combination regimens (0.5% vs 15%, p=0.04). The rate of G3/4 AEs was significantly higher in first-line only trials vs other trials (overall: 90% vs 47%, p=0.04; H: 73% vs 5%, p=0.02; NH: 66% vs 41%, p=0.08). The rate of SD due to AEs was also significantly higher in first-line only trials (18% vs 4%, p=0.008). The only significant association with chemotherapy vs other therapy was G3/4 H AE rates (51% vs 2%, p=0.02).
 Discussion: High variability in G3/4 AE rates overall and in H and NH AEs was noted in these 15 trials. There is also high variability in the rates of SD due to AEs. The data suggest that clinical trials with single agent regimens have lower AE rates than combination regimens and, surprisingly, trials of first-line therapy only have higher AE rates than other trials. This may be due to more aggressive therapy being tested in the first-line setting. Although data from previous trials with the investigational agent(s) should be used for developing AE stopping rules when available, this study suggests that study factors such as number of agents and line of therapy can be useful when previous data are limited. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 6149.
Comparison of binary efficacy endpoints in 11 North Central Cancer Treatment Group phase II metastatic breast cancer clinical trials.
Abstract Abstract #6147 Background: Phase II metastatic breast cancer (MBC) clinical trials evaluating efficacy of cancer treatments are often designed using a binary primary endpoint (i.e., each evaluable patient [pt] is classified as a “success” or “failure”). In the era of novel agents in cancer research, endpoints such as 6-month progression-free survival [PFS6] for measuring efficacy of cytostatic agents are more commonly being used. This meta-analysis was undertaken to compare two binary classifications of PFS6 and to compare these binary endpoints with other efficacy endpoints in the phase II setting.
 Material and Methods: All closed North Central Cancer Treatment Group (NCCTG) phase II MBC clinical trials using Response Evaluation Criteria in Solid Tumors (RECIST) with at least 1 year of follow-up since last pt accrued were selected. All eligible pts initiating treatment were included. Two binary classifications of PFS6 were computed for each trial. Success for PFS6-1 is defined as on study treatment 6 months from registration without documentation of disease progression. Success for PFS6-2 does not require a pt to be on study treatment at 6 months. Also computed for each trial are Kaplan-Meier (KM) estimates of PFS6 (PFS6-KM) and 1-year overall survival (OS1-KM). Trial-level endpoints were summarized using descriptive statistics and compared using weighted (by trial sample sizes) Pearson correlations. Lastly, the concordance rate of PFS6-1 and PFS6-2 status with OS status at 1 year at the pt level was computed across all pts (pts censored for OS prior to one year were excluded [n=10]).
 Results: 11 trials met inclusion criteria. All trials required measurable disease and had a single arm. 485 evaluable pts were accrued (median 48 pts per trial [range 19-77]). Median PFS6-1 was 27% (range 10-44%) and median PFS6-2 was 34% (range 10-73%). The median trial-level difference between PFS6-1 and PFS6-2 was 5% (range 0-43%). The correlation between PFS6-1 and PFS6-2 was 0.81 (p<0.01). Among the endpoints, PFS6-2 and PFS6-KM had the highest correlation (>0.99, p<0.01) due to only 2 pts being censored for PFS prior to 6 months. Among the PFS endpoints, OS1-KM was most highly correlated with PFS6-1 (0.79, p<0.01) with the correlations with PFS6-2 and PFS6-KM not being statistically different from zero (both 0.59 with p>0.05). However, overall patient-level concordance between PFS6 status and OS status at 1 year was higher using PFS6-2 (68%) than PFS6-1 (59%).
 Discussion: Differences were observed between the two binary classifications of PFS6. PFS6 with (as compared to without) the requirement that a pt be on study treatment at 6 months appears to have higher correlation with OS at 1 year at the trial level but lower concordance with OS status at 1 year at the pt level. Selection of the historical control should take into consideration the definition of PFS6 being used. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 6147.
Tamoxifen pharmacogenetics of CYP2D6, CYP2C19, and SULT1A1: long term follow-up of the North Central Cancer Treatment Group 89-30-52 adjuvant trial.
Abstract Abstract #6037 Background: Tamoxifen (Tam) is biotransformed to the potent antiestrogen, endoxifen, by the CYP2D6 enzyme. We previously demonstrated that patients (pts) receiving adjuvant TAM with impaired CYP2D6 metabolism due to CYP2D6 (*4) and/or concurrent administration of a CYP2D6 inhibitor had a higher risk of recurrence. Other studies suggest CYP2C19*17 (Schroth JCO 2007) and SULT1A1*2 (Nowell JNCI 2002) may be associated with treatment outcome. With extended follow-up, we sought to evaluate the importance of comprehensive CYP2D6 genotyping as well as the potential association between CYP2C19*17 and SULT1A1 copy number with clinical outcome in pts randomized to TAM in NCCTG 89-30-52.
 Methods: Using DNA derived from paraffin embedded sections, CYP2D6 and SULT1A1 genotype were determined using quantitative multiplex PCR and CYP2C19 by sequencing. Pts administered the following CYP2D6 inhibitors (fluoxetine, paroxetine, sertraline, cimetidine, amiodarone, doxepin, ticlopidine and haloperidol) were considered as intermediate (IM) or poor metabolizers (PM) based on the potency of CYP2D6 inhibition. CYP2D6 phenotype was defined as follows: extensive metabolizers (EM) were pts not administered an inhibitor who did not carry a null allele (*3, *4, *6) and who were not homozygous for an IM allele (*10, *17, *41). CYP2D6 IM were either heterozygous for a null allele or homozygous for an IM allele but not administered an inhibitor or CYP2D6 EM administered a weak inhibitor. PM were pts homozygous for a null allele, or any patient administered a potent inhibitor. The association between genotype or CYP2D6 phenotype and clinical outcome was determined using the log-rank test. Multivariate Cox modeling was performed using traditional prognostic factors.
 Results: The median follow-up of living pts is now 14.5 years. Of 256 pts. randomized to TAM, genotype was determined for CYP2D6 (n=210), CYP2C19*17 (n=170), and SULT1A1 (n=169) with the following allele frequencies: CYP2D6 *3 (.02), *4(.20), *6 (.01), *10 (.03), *17 (.00), *41(.08), and CYP2C19*17 (.22). The frequency of SULT1A1 copy number alleles (CNA) was 1 (4%), 2 (67%), 3 (20%), and 4+ (9%). 14/227 patients (6%) were administered an inhibitor. A multivariate analysis accounting for nodal status and tumor size demonstrated that compared to CYP2D6 EM, CYP2D6 PM had significantly shorter time to recurrence (TTR) (HR 4.0, p=0.001) and DFS (HR 2.0, p=0.02) and CYP2D6 IM tended to have shorter TTR (HR 1.8, p=0.08) and DFS (HR 1.4, p=0.10). DFS did not differ by SULT1A1 copy number (p=0.62) or CYP2C19 *17 (p=0.47)
 Conclusion: Long term follow-up of pts in NCCTG 89-30-52 confirms the importance of CYP2D6 metabolism and further demonstrates the importance of comprehensive genotyping and phenotyping with CYP2D6 inhibitors. We could not identify an association between CYP2C19*17 or SULT1A1 copy number with recurrence but further evaluation is needed in larger cohorts. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 6037.
Pharmacogenetic (CYP2D6) and gene expression profiles (HOXB13/IL17BR and molecular grade index) for prediction of adjuvant endocrine therapy benefit in the ABCSG 8 trial.
Abstract Abstract #57 Background: ABCSG 8 is the only prospective trial examining the value of switching patients (pts) to an aromatase inhibitor after tamoxifen (Tam) in which randomization occurred prior to therapy. This trial demonstrated that 2 years (yrs) of Tam followed by 3 yrs of anastrozole (TAM to A) was superior to 5 yrs of Tam (Jakesz SABC 2005). Tam is metabolically activated by CYP2D6 to endoxifen and pts with impaired CYP2D6 metabolism have a higher risk of recurrence (Goetz JCO 2005). The HOXB13/IL17BR (H/I) index (Ma Cancer Cell 2004) is associated with Tam resistance while a 5-gene molecular grade index (MGI) distinguishes outcome in grade II tumors. H/I and MGI are complementary prognostic factors that define low (low MGI), intermediate (low H/I, high MGI) and high risk groups (high H/I and MGI) (Ma Clin Cancer Res 2008). We sought to validate these biomarkers in ABCSG Trial 8, and hypothesized that they may predict the benefit of sequencing TAM to A versus Tam alone.
 Methods: From 1996-2004, ABCSG 8 randomized 3,901 pts with ER positive breast cancer. The primary endpoint was event-free survival. Assuming 40% of pts had reduced CYP2D6 metabolism, we designed a nested case control study in which 110 Tam treated cases matched to 2 controls would yield 80% power to detect a relative risk of 2.3 for pts with reduced CYP2D6 metabolism. Additionally, we sought to perform an exploratory analysis of the benefit of switching from Tam to A in pts with impaired vs non-impaired CYP2D6 metabolism. DNA and RNA derived from paraffin embedded sections were used to genotype for CYP2D6 and to obtain H/I and MGI RT-PCR profiles.
 Findings: Thus far, CYP2D6 genotyping is complete in 345 pts corresponding to 53 cases/106 controls (Tam) and 62 cases/124 controls (Tam to A). DNA and RNA yields were excellent with a CYP2D6 genotype call rate of >95%. CYP2D6 allele frequencies were as expected: *3 (.01), *4, (.23), *6 (.01), *10 (.02), *17 (.00), and *41 (.10). 44% of pts had reduced CYP2D6 metabolism (at least one CYP2D6 null allele or intermediate metabolizer) and 8% were CYP2D6 poor metabolizers. For H/I and MGI, 340 pts were profiled with 64%, 20% and 16% in the low, intermediate, and high risk groups, respectively. Tissue sectioning/genotyping for additional cases/controls is ongoing.
 Discussion: This is the first retrospective analysis of a large Tam versus Tam to A trial to evaluate the association between 1) CYP2D6, HOXB13/IL17BR, and MGI with TAM treatment outcome and 2) the predictive benefit of these biomarkers in pts randomized to switch from Tam to AI versus Tam alone. Final results will be presented at the meeting. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 57.