Citations

Abstract Background: ASP is hypothesized to decrease the risk of breast cancer (BRCA) and BRCA recurrences. Thus we performed an exploratory analysis of ASP and CC use within the NCIC CTG MA.27 adjuvant trial comparing exemestane (E;N=3789) to anastrozole (A; N=3787) with a factorial second randomization to CC or placebo (P). Neither A or E was superior in breast cancer outcomes. Baseline low-dose ASP use is an accepted surrogate of cardiovascular risk factors and was used as a stratification factor across all 4 arms. Randomization to CC-P was discontinued after 18 months (n = 1622) due to concerns of cardiac toxicity. Methods: Patients taking >81mg of ASP daily at baseline were ineligible for randomization and use of >81mg of ASP daily was not allowed. Women enrolled during CC randomization were included in the comparison of E and A, stratified by whether they had been randomized to CC [yes, no;N=1622] and concomitant low-dose ASP [≤81 mg/day (yes, no); N=2209]. Other stratification factors included: lymph-nodes (negative, positive, or unknown); prior adjuvant chemotherapy (yes, no). The primary endpoint, event-free-survival (EFS), was defined as time from randomization to time of locoregional or distant disease recurrence, new primary breast cancer, or death from any cause. Secondary endpoints included overall survival (OS) defined as time from randomization to time of death from any cause and distant disease-free-survival (DDFS), defined as time from randomization to time of distant disease recurrence. Univariate (uni) assessment of CC and ASP use was assessed with stratified log-rank test, adjusting for lymph-node status and adjuvant chemotherapy and applied by intention-to-treat. Exploratory multivariate (multi) analyses (N = 1622) had forced inclusion of treatment and used step-wise forward stratified Cox modeling to examine the effects of CC, ASP use and baseline patient characteristics on outcomes; a factor was added with Wald test statistic p ≤ 0.05. Results: At median follow-up of 4.1 years, 186/1622 (11%) patients had an EFS event; 125 (8%) had died from any cause, and 80 (5%) had distant BRCA relapse. CC did not have significant uni association with outcomes: EFS p-value=0.92; OS p-value p = 0.56; DDFS p-value=0.55. ASP use was associated with worse EFS [p = 0.006, HR 1.48 (95% CI 1.12–1.96)], worse OS [p = 0.0002, HR 1.87 (95% CI (1.35–2.61)], and non-significant difference in DDFS (p = 0.72). CC had no multi association with EFS, OS or DDFS. ASP use had no multi association with EFS and DDFS (p > 0.05). However, ASP use had multi prognostic association with worse OS [p = 0.01; HR 1.67 (95% CI 1.13–2.49)]. Conclusions: Users of either CC or low dose ASP had similar DDFS to non-users in MA.27. As expected, low-dose ASP users (with presumptive cardiovascular risk factors) had worse OS than non-users. Inadequate numbers of patients randomized to CC and lack of randomization to aspirin leaves inadequate evidence from MA.27 to determine whether anti-inflammatories influence breast cancer outcomes. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-13-02.

Abstract Background: Intrinsic breast cancer subtypes determined by the PAM50 assay are reported to be prognostic independent of standard clinicopathological variables. The CALGB (Alliance) 9741 adjuvant trial randomized treatment in a 2×2 factorial design to (i) 2-wk (dose dense; DD) vs 3-wk therapy and (ii) sequential vs concurrent doxorubicin, cyclophosphamide, paclitaxel (A>T>C vs AC>T). DD therapy improved disease-free survival and overall survival (OS) (Citron et al. JCO 2003.). A significant interaction between intrinsic breast cancer subtypes and the use of DD therapy was hypothesized. Methods: C9741 was conducted in collaboration with ECOG, NCCTG, and SWOG. Biospecimens were collected from 1652 of 2005 subjects. Multiplexed gene expression profiling (NanoString Technologies, Inc) generated PAM50 subtype calls (luminal A, luminal B, HER2-enriched, basal-like), risk of relapse (ROR) score, and proliferation score for 1321 cases (80%). Excluded samples were due to insufficient tumor (n = 181) or RNA (n = 150). The primary endpoint was relapse-free survival (RFS). The primary analysis to determine if the clinical benefit of DD therapy is dependent on intrinsic subtype was conducted as a test of interaction in a Cox proportional hazards model (3 degrees of freedom, df; alpha=0.05). Similar analyses were performed for ROR score and proliferation score as continuous measures of risk (1 df). PAM50 subtype, ROR score, and proliferation score were evaluated in separate multivariate models adjusting for number of positive nodes, menopausal status, dose density, and sequence of therapy. Results: Improved outcomes for DD therapy in the evaluable subset mirrored results from the complete dataset (HR = 1.20; 95%CI 0.99–1.44) with a median follow-up of 12.3 yrs. Subtype analysis identified 32% luminal A (n = 417), 26% luminal B (n = 341), 20% HER2-enriched (n = 267), and 22% basal-like (n = 296). Intrinsic subtypes were prognostic of RFS (p < 0.0001) irrespective of treatment assignment with HRs relative to the luminal A subgroup of 1.50 (luminal B), 1.70 (HER2-enriched) and 1.66 (basal-like). No subtype specific treatment effect on RFS was identified (p = 0.44). ROR scores (range 0–100, median 60) were also prognostic of RFS (HR = 1.12 for a 10-unit change; 95% CI 1.07–1.18; p < 0.0001), but no association with DD therapy benefit was seen (p = 0.58). Similar results were obtained for the proliferation score, for OS as a secondary endpoint, and from multivariate models with clinical covariates. Conclusion: The prognostic value of PAM50 subtype, ROR score, and proliferation score remains highly significant in patients treated with contemporary adjuvant anthracycline and taxane based chemotherapy. Intrinsic subtype did not predict for improved survival with the 2-wk DD vs 3-wk treatment schedule; we hypothesize that this is because the prognostic differences by subtype outweighed the modest but significant clinical benefit of DD chemotherapy administration for the overall population. Planned clinical validation studies will assess the ability of PAM50 and other gene signatures to stratify patients and individualize systemic therapy regimens based on the expected risk of distant recurrence. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-10-01.

Abstract Ki-67 proliferation marker-based response monitoring will be prospectively tested in the ALternate Treatment for ER positive NeoAdjuvant TrEatment (ALTERNATE) trial. Tumor Ki-67 will be analyzed after one month of neoadjuvant anastrozole, fulvestrant or the combination to detect early resistance (Ki-67 >10%) for triage to alternate treatment (chemotherapy/investigational agent). Ki-67 will be repeated on the surgical specimen after 24 weeks to detect PEPI-0 cases (path Stage 0/1/2A and Ki-67 ≤2.7%), which will be managed without adjuvant chemotherapy. A CLIA-approved Ki-67 assay was required by CTEP/FDA. FDA reviewed-components included the CONFIRM anti-Ki-67 (30-9) Rabbit Monoclonal Primary Antibody, the Benchmark XT platform and the VENTANA iScan Coreo scanner. The validation process was as follows: Step 1 was a TMA-based bridging study between a SP6-based research assay to the 30-9 CLIA assay using visual point counting (VPC); Step 2 trained a scoring SOP using Companion Algorithm Ki-67 (30-9) image analysis software with triage to VPC when certain observations were flagged; Step 3 was an independent test of the SOP using relevant patient outcome-associated samples from the P024 and POL neoadjuvant endocrine studies with two independent pathology analyses. STEP 1: Bridging Research to CLIA. Using a 28-case TMA, and VPC, the intra-class correlation (ICC) for agreement measure of Ki-67 10% cut-point (CP) between research Ki-67 and CLIA Ki-67 was 0.96 (CI 0.92-0.98). The Cohen's simple kappa for agreement measure was 0.78 (CI 0.55-1.0). STEP 2: Scanner-based Algorithm training. An SOP for the image analysis was developed by reviewing discordant cases in two independent reads at the 10% and 2.7% CP in a training set (N+ disease from P024 N = 61). Histology features that led to inaccurate scoring from the image analysis included: streaming /fascicular tumor cells, a large amount of intervening stromal cells, heavy immune cell infiltration, sparse scattered tumor cells, faint staining, and plump stromal cells. These cases were flagged for VPC. The final Ki-67 scoring SOP used image analysis with triage to VPC when necessary (required in 16% of cases). STEP 3: Scoring Algorithm Validation. The Ki-67 SOP was run on T1/2 N0 cases from the P024 trial N = 58. The% positive agreement for the combined scanner and VPC approach using the Ki-67 2.7% CP was 87.5% (95% CI 61.7- 98.5%); percent negative agreement 88.9% (95% CI: 65.3-98.6%). Minor discordance did not affect the ability to predict very similar survival outcomes (Log Rank P = 0.044 and P = 0.055). The data for the 10% CP was similar (N = 66), the percentage positive agreement was 100%; percent negative agreement 93.55% (95% CI: 78.58-99.21%). The survival predictions were again similar (P = 0.0001 and P = 0.0002). The FDA ruled the use of Ki-67 in the ALTERNATE trial is “no significant risk” because previous clinical trial data indicated the majority of patients with Stage 0/1/2A disease post neoadjuvant endocrine therapy already do not receive chemotherapy. Thus the use of Ki-67 reduces the risk of under-treatment of patients with low stage disease but aggressive biology. CTEP accepted these data on assay concordance and performance and the ALTERNATE trial will proceed. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-05-10.

Abstract Background: Epidermal Growth Factor Receptor (EGFR, HER1) is known to heterodimerize with HER2 and may modulate the effectiveness of trastuzumab or lapatinib. Historically, it has been difficult to measure, but recently we reported a new, standardized, quantitative immunofluorescence assay and a novel EGFR antibody which showed that high levels of EGFR were associated with decreased benefit in the concurrent arm of the North Central Cancer Treatment Group (NCCTG/Alliance) N9831 trial (Rimm et al, SABCS 2012). Here we assess its value in the neo-adjuvant setting in the NeoALTTO trial. Methods: NeoALTTO randomized 455 breast cancer patients to neoadjuvant trastuzumab, lapatinib or both and showed benefit in both single anti-HER2 therapy arms, and the combination therapy showing about twice as much benefit as either single drug arm. We used the previously described AQUA method of quantitative immunofluorescence to measure EGFR levels using the D38B1 antibody on between 4 and 140 fields of view per slide on 353 specimens. The averaged EGFR score was standardized to the absolute concentration using cell lines and western blots and the 13 ng/ug total protein established in the N9831 trial was tested to determine predictive value for pathological complete response (pCR) defined as ypT0/is. Results: In NeoALTTO, 19% of the patients had EGFR levels above 13 ng/ug, compared to 16% in NCCTG N9831. The pCR rate was 35.3% in the patients with low EGFR, compared with 29.8% for high EGFR but this difference was not statistically significant. However, when adjusted for treatment and hormone receptor (HR) status, high EGFR is statistically significantly associated with lower response rate(p = 0.038). Continuous analysis measures were not significant. The effect on overall response at 6 weeks was also weakly significant when adjusting for treatment and HR status (p = 0.06). Surprisingly, for HR negative patients in the lapatinib only arm, the pCR rate in the low EGFR group was 47.2% compared with 16.0% in the high group. While this difference is statistically significant (p = 0.014), it should be interpreted cautiously because of the small numbers of patients and the multiple tests performed. Conclusions: High expression of EGFR by the AQUA platform appears to be associated with decreased pCR rate from HER2 targeted therapy in the neoadjuvant setting. This observation is consistent with NCCTG N9831. Although underpowered, high EGFR levels predicted decreased pCR rate from lapatinib, the opposite of that anticipated for this small molecule dual EGFR/HER2 inhibitor. Further studies are required to determine the clinical utility of this assay and the biological mechanisms underlying these observations. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-08-09.

Abstract Anticancer drugs are combined in an effort to treat a heterogeneous tumor or to maximize the pharmacodynamic effect. The development of combination regimens, while desirable, poses unique challenges. These include the selection of agents for combination therapy that may lead to improved efficacy while maintaining acceptable toxicity, the design of clinical trials that provide informative results for individual agents and combinations, and logistic and regulatory challenges. The phase I trial is often the initial step in the clinical evaluation of a combination regimen. In view of the importance of combination regimens and the challenges associated with developing them, the Clinical Trial Design (CTD) Task Force of the National Cancer Institute Investigational Drug Steering Committee developed a set of recommendations for the phase I development of a combination regimen. The first two recommendations focus on the scientific rationale and development plans for the combination regimen; subsequent recommendations encompass clinical design aspects. The CTD Task Force recommends that selection of the proposed regimens be based on a biologic or pharmacologic rationale supported by clinical and/or robust and validated preclinical evidence, and accompanied by a plan for subsequent development of the combination. The design of the phase I clinical trial should take into consideration the potential pharmacokinetic and pharmacodynamic interactions as well as overlapping toxicity. Depending on the specific hypothesized interaction, the primary endpoint may be dose optimization, pharmacokinetics, and/or pharmacodynamics (i.e., biomarker). Clin Cancer Res; 20(16); 4210–7. ©2014 AACR.

Abstract There is increasing evidence that subjective cognitive decline (SCD) in individuals with unimpaired performance on cognitive tests may represent the first symptomatic manifestation of Alzheimer's disease (AD). The research on SCD in early AD, however, is limited by the absence of common standards. The working group of the Subjective Cognitive Decline Initiative (SCD‐I) addressed this deficiency by reaching consensus on terminology and on a conceptual framework for research on SCD in AD. In this publication, research criteria for SCD in pre‐mild cognitive impairment (MCI) are presented. In addition, a list of core features proposed for reporting in SCD studies is provided, which will enable comparability of research across different settings. Finally, a set of features is presented, which in accordance with current knowledge, increases the likelihood of the presence of preclinical AD in individuals with SCD. This list is referred to as SCD plus .

Purpose In patients with hormone-dependent postmenopausal breast cancer, standard adjuvant therapy involves 5 years of the nonsteroidal aromatase inhibitors anastrozole and letrozole. The steroidal inhibitor exemestane is partially non–cross-resistant with nonsteroidal aromatase inhibitors and is a mild androgen and could prove superior to anastrozole regarding efficacy and toxicity, specifically with less bone loss. Patients and Methods We designed an open-label, randomized, phase III trial of 5 years of exemestane versus anastrozole with a two-sided test of superiority to detect a 2.4% improvement with exemestane in 5-year event-free survival (EFS). Secondary objectives included assessment of overall survival, distant disease–free survival, incidence of contralateral new primary breast cancer, and safety. Results In the study, 7,576 women (median age, 64.1 years) were enrolled. At median follow-up of 4.1 years, 4-year EFS was 91% for exemestane and 91.2% for anastrozole (stratified hazard ratio, 1.02; 95% CI, 0.87 to 1.18; P = .85). Overall, distant disease–free survival and disease-specific survival were also similar. In all, 31.6% of patients discontinued treatment as a result of adverse effects, concomitant disease, or study refusal. Osteoporosis/osteopenia, hypertriglyceridemia, vaginal bleeding, and hypercholesterolemia were less frequent on exemestane, whereas mild liver function abnormalities and rare episodes of atrial fibrillation were less frequent on anastrozole. Vasomotor and musculoskeletal symptoms were similar between arms. Conclusion This first comparison of steroidal and nonsteroidal classes of aromatase inhibitors showed neither to be superior in terms of breast cancer outcomes as 5-year initial adjuvant therapy for postmenopausal breast cancer by two-way test. Less toxicity on bone is compatible with one hypothesis behind MA.27 but requires confirmation. Exemestane should be considered another option as up-front adjuvant therapy for postmenopausal hormone receptor–positive breast cancer.

Abstract Background: Estrogen receptors are over-expressed in around 70% of breast cancer cases. The genetic changes that occur during aromatase inhibitor (AI) treatment are not well understood and may differ depending upon the patient's response phenotype. Methods: We performed whole genome sequencing (WGS) of matched blood, pre-treatment, and post-treatment biopsy samples from 22 estrogen receptor positive breast cancer patients treated with neoadjuvant aromatase inhibitors. For 5 cases, we performed the whole genome sequencing (WGS) on patients’ matched normal, two pre AI-treatment, and two post AI-treatment DNA isolates from biopsy samples. We validated all putative coding and non-coding somatic mutations using deep sequencing. By comparing the validated somatic mutations from pre- and post- AI treatment biopsy samples, we were able to determine the alterations in the tumor genomes. In every case we defined the clonal architecture of each pair of pre-treatment and post-treatment biopsy samples by comparing the variant allele frequencies from thousands of validated somatic mutations. Results: Comparisons of the two pre AI-treatment biopsy samples from the same patient indicates that the variant allele frequencies of mutations showed high concordances in all 5 cases, 0.74 to 0.95 range of correlation coefficient. Only a small percentage of somatic mutations were detected in one pre-treatment sample and not the other (4.65% overall). In comparing the somatic variations between pre-treatment and matched post-treatment biopsy samples in 22 cases, we found that patients with good clinical response to AI treatment retained known driver mutations only in their pre-treatment tumors. Conversely, those patients with poor clinical response presented new driver mutations in their post-treatment samples. Furthermore, the variant allele frequency for most mutated genes decreased in post AI treatment samples for patients with good AI treatment response; on the contrary, the variant allele frequency increased for patients with poor clinical response. Conclusions: From WGS of matched normal, pre-treatment, and post-treatment biopsy samples, we identified new driver genes mutated in patients with poor clinical response, while patients with good clinical response had lost mutated driver genes in their post-treatment biopsy samples. The genetic landscape revealed by WGS of pre-treatment and post-treatment biopsy samples reveals mutational repertoires are remodeled by AI therapy. This finding suggests deep sequencing of AI treated samples will be necessary to reveal the complete complement of mutations present in a patient's tumor. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr LB-423. doi:1538-7445.AM2012-LB-423

Background —Time to treatment with thrombolytic therapy is a critical determinant of mortality in acute myocardial infarction. Little is known about the relationship between the time to treatment with direct coronary angioplasty and clinical outcome. The objectives of this study were to determine both the time required to perform direct coronary angioplasty in the Global Use of Strategies to Open Occluded Arteries in Acute Coronary Syndromes (GUSTO-IIb) trial and its relationship to clinical outcome. Methods and Results —Patients randomized to direct coronary angioplasty (n=565) were divided into groups based on the time between study enrollment and first balloon inflation. Patients randomized to angioplasty who did not undergo the procedure were also analyzed. The median time from study enrollment to first balloon inflation was 76 minutes; 19% of patients assigned to angioplasty did not undergo an angioplasty procedure. The 30-day mortality rate of patients who underwent balloon inflation ≤60 minutes after study enrollment was 1.0%; 61 to 75 minutes after enrollment, 3.7%; 76 to 90 minutes after enrollment, 4.0%; and ≥91 minutes after enrollment, 6.4%. The mortality rate of patients assigned to angioplasty who never underwent the procedure was 14.1% ( P =0.001). Logistic regression analysis revealed that the time from enrollment to first balloon inflation was a significant predictor of mortality within 30 days; after adjustment for differences in baseline characteristics, the odds of death increased 1.6 times ( P =0.008) for a movement from each time interval to the next. Conclusions —The time to treatment with direct PTCA, as with thrombolytic therapy, is a critical determinant of mortality.