Citations

Abstract Background: Neoadjuvant endocrine therapy (NET) trials serve to inform design and selection of agents for larger adjuvant endocrine trials. The neoadjuvant aromatase inhibitor (AI) trial ACOSOG Z1031 randomized the treatment of postmenopausal women with ER rich (Allred 6-8) clinical stage 2/3 breast cancer to either EXE, ANA and LET. The results are therefore of interest in the context of new data that compares these AIs in the adjuvant setting. The opportunity to develop predictive biomarker tests for NET sensitivity was also a key study objective in order guide future selection of patients for inclusion in studies that compare NET versus neoadjuvant chemotherapy (NCT). The value of a baseline PAM50 intrinsic subtype test for NET patient selection was therefore an embedded objective of the study. Methods: Of the 374 women who began study treatment on Z1031, pretreatment biopsy specimen for central IHC testing for ER and Ki67 was available on 304 patients. The PAM50 intrinsic subtype test (PMCID: 2667820) could be conducted on 170 baseline samples. The Preoperative Endocrine Prognostic Index (PEPI) an approach to predicting long term outcomes based on pathological stage and surgical specimen ER and Ki67 status was also conducted because patients with a PEPI of zero (T1/2 N0, ER+, Ki67<=2.7%) have been found to have an excellent long term prognosis and therefore unlikely to benefit from chemotherapy (PMCID: 255670). Results: The degree of Ki67 suppression, the absolute level of Ki67 in the surgical specimen and the PEPI results were not significantly different by treatment arm (Kruskal-Wallis tests p >0.05). Thirty Percent (95%CI: 19.6-42.9%) of women with pre-AI LumA subtype and 12% (95%CI: 6.4-20.0%) of women with pre-AI LumB subtype had a PEPI of zero predicting excellent prognosis. Multivariate logistic modeling found that the likelihood of a PEPI score of zero is 3.2 fold higher (95%CI: 1.43 7.12) among 66 women with a pre-AI LumA subtype compared to 100 women with a pre-AI LumB subtype. Additional baseline variables (clinical T and N stage, HER2 status, pre-AI Ki-67 level (< = 10% vs. >10%) were not found to modify the chance of a PEPI of zero. Baseline PAM50 Subtype versus PEPI Conclusion: The results of Z1031 show no differences in clinical or biologic response between LET, EXE, and ANA in the neoadjuvant setting; predicting that no difference in efficacy will be seen between these agents in adjuvant studies. Pre-AI LumA versus LumB status, defined by the PAM50 subtype, identifies patients who are more likely to be in the most favorable PEPI score following neoadjuvant AI therapy. Patients with pretreatment LumA status may, therefore, not be suitable for a randomized trial of NET versus NCT since approximately one third of these patients may be able to avoid chemotherapy altogether. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr S1-2.

Abstract Purpose: Emerging data from cooperative group trials suggests that not all patients with a positive SLN require completion axillary lymph node dissection (ALND). The controversy regarding who will benefit from additional nodal clearance continues, suggesting a need for improved tools to predict non-SLN involvement. We hypothesized that the size of a SLN metastasis evaluated as a continuous variable would be an important predictor of non-SLN involvement. The goal of this study was to determine clinicopathologic factors including SLN metastasis size that predicted non-SLN involvement and to use these factors to construct an improved predictive nomogram. Methods: Using a prospective database, we identified 509 patients with invasive breast cancer from 1996 - 2007 with a positive SLN who underwent ALND. Patients receiving neoadjuvant therapy were excluded. Clinicopathologic data including age, primary tumor size, presence of multifocal disease, histology (invasive ductal vs. invasive lobular vs. mixed invasive), tumor grade, estrogen receptor, progesterone receptor, and HER2/neu status, presence of lymphovascular invasion (LVI), the number of SLNs identified, number of positive SLNs, the maximum SLN metastasis size and the presence of extranodal extension were recorded. For SLNs described only as containing isolated tumor cells, size was recorded as 0.1 mm. Univariate and multivariate logistic regression analyses were performed to identify factors predictive of positive non-SLNs. Using these variables, a nomogram was constructed and subsequently validated using an external cohort of 464 patients. Results: On univariate analysis, the following factors were predictive of positive non-SLNs: number of SLN identified (p<.001), number of positive SLN (p<.001), maximum SLN metastasis size (p<.001), extranodal extension (p<.001), primary tumor size (p=.001), LVI (p=.019) and histology (p=.034). On multivariate analysis, all factors remained significant at the 5% level except LVI. A nomogram was created using these variables. When applied to an external cohort, the nomogram was accurate and discriminating with an area under the receiver operating characteristic curve of .73 (95% CI: .68 - .77). Conclusions: SLN metastasis size is predictive for identifying additional disease in the axilla. These data have been incorporated into a nomogram that accurately predicts the likelihood of having additional, non-SLN metastasis suggesting that routine reporting of the SLN metastasis size would assist with clinical decision making regarding the need to perform a completion ALND. Figures available in online version. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr PD06-08.

ABSTRACT Introduction Erectile dysfunction (ED) may be the most commonly observed adverse event (AE) associated with the combination of radiation therapy (RT) and androgen deprivation therapy (ADT). A significant number of men are trying phosphodiesterase type 5 inhibitors (PDE5s) such as sildenafil to treat ED, yet sildenafil studies to date shed little light on the response to ED after ADT. Aim The purpose of this trial was to evaluate sildenafil in the treatment of ED in prostate cancer patients previously treated with external beam RT and neoadjuvant and concurrent ADT. Methods In this randomized, double-blinded crossover trial, eligible patients received RT/ADT for intermediate risk prostate cancer and currently had ED as defined by the International Index of Erectile Function (IIEF). Patients were randomized to 12 weeks of sildenafil or placebo followed by 1 week of no treatment then 12 weeks of the alternative. Treatment differences were evaluated using a marginal model for binary crossover data. Main Outcome Measures The primary end point was improved erectile function, as measured by the IIEF. Results The study accrued 115 patients and 61 (55%) completed all three IIEF assessments. Sildenafil effect was significant (P = 0.009) with a difference in probabilities of erectile response of 0.17 (95% confidence interval: 0.06, 0.29), and 0.21 (0.06, 0.38) for patients receiving ≤120 days of ADT. However, as few as 21% of patients had a treatment-specific response, only improving during sildenafil but not during the placebo phase. Conclusions This is the first controlled trial to suggest a positive sildenafil response for ED treatment in patients previously treated with RT/ADT, however, only a minority of patients responded to treatment. ADT duration may be associated with response and requires further study. The overall low response rate suggests the need for study of additional or preventative strategies for ED after RT/ADT for prostate cancer.

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.

Abstract The Multiple Myeloma Research Consortium has established a tissue bank for the deposition of bone marrow samples from patients with multiple myeloma to be mailed and processed under good laboratory practices. To date, over 1,000 samples have been collected. At this time, limited information is available on shipped bone marrow aspirates in regards to cell viability, yield, purity, and subsequent RNA yield and quality. To test these determinants, we did a pilot study on behalf of the Multiple Myeloma Research Consortium where samples were drawn at Mayo Clinic Rochester (MCR) pooled and split into two equal aliquots. One-half of each sample was processed following good laboratory practices compliant standard operating procedures, immediately after sample procurement, at MCR. The CD138+ cells were stored at -80°C as a Trizol lysate. The other half of the aspirate was sent overnight to Mayo Clinic Scottsdale where they were processed using identical standard operating procedures. The RNA was extracted and analyzed in a single batch at MCR. At both locations, samples were assayed for the following quality determinants: Viability was assessed using a three-color flow cytometric method (CD45, CD38, and 7-AAD). Cell counts were done to determine plasma cell recovery and post-sort purity determined by means of a slide-based immunofluorescent assay. RNA recovery and integrity was assessed using the Agilent Bioanalyzer. Lastly, gene expression profiles were compared to determine the signature emanating from the shipment of samples. Despite minor differences, our results suggest that shipment of samples did not significantly affect these quality determinants in aggregate. (Cancer Epidemiol Biomarkers Prev 2008;17(3):666–73)

A chimeric class I glycoprotein was created to investigate the functional contribution of the alpha helices and the beta-pleated sheets in forming the antigen recognition site (ARS) of antigen-presenting molecules. This novel molecule was generated by replacing the DNA sequences encoding the alpha helices of the Ld gene with the corresponding sequences from the Kb gene. Serologic analysis of transfected L cells that expressed the chimeric molecule (Kb alpha Ld beta) revealed that the engineered class I glycoprotein retains two conformational epitopes associated with the alpha helices of Kb, as defined by monoclonal antibodies K10.56 and 28-13-3. These results demonstrate that the alpha helices of Kb can associate with the beta-pleated sheets of Ld to form a stable structure, which is expressed on the cell surface. To address the role of the alpha helices of the ARS in determining T cell crossreactivity, alloreactive cytotoxic T lymphocytes (CTL) were used to analyze L cells expressing Kb alpha Ld beta. CTL raised against Kb or Ld as alloantigens showed little, if any, ability to lyse L cells expressing Kb alpha Ld beta. Thus, alloreactive CTL did not recognize structures determined by the alpha helices alone or by the beta sheets of the ARS alone. However, bulk and cloned alloreactive CTL that were generated against the mutant Kb glycoprotein Kbm8 reacted strongly with Kb alpha Ld beta. In addition to the Kb alpha helices, the Kbm8 ARS shares a single polymorphic amino acid at position 24 with Kb alpha Ld beta. Amino acid 24 is located on the beta 2 strand that forms part of the floor of the ARS and has been identified as a component of pocket B in the HLA class I ARS. The substitution of Glu to Ser at this position was shown previously to be the central determinant of the Kbm8 mutant alloantigenicity. The functional significance of this position in determining crossreactivity between bm8 and Kb alpha Ld beta identifies pocket B as a strong anchor for allogenic self-peptides. These findings demonstrate that determinants recognized by CTL on class I alloantigens are formed by interactions involving both the alpha helices and beta sheets of the ARS. These interactions are best explained by the influence of the alpha helices and beta sheets on the peptide-binding properties of these antigen-presenting molecules.