DeSchryver, Katherine

Abstract Background. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor biology. As part of the NCI Human Tumor Atlas Network (HTAN), we conducted comprehensive genomic analyses on two large DCIS case-control cohorts. Methods. We performed smart3-seq and low-pass whole genome sequencing on two independent, retrospective, longitudinally sampled DCIS case-control cohorts. TBCRC 038 was a multicenter cohort diagnosed with DCIS between 1998 and 2016 at one of the Translational Breast Cancer Research sites; the RAHBT (Resource of Archival Human Breast Tissue) cohort included women identified through the St. Louis Breast Tissue Repository, and the Women’s Health Repository diagnosed between 1997 and 2001. We studied the spectrum of molecular changes present and sought genomic predictors of subsequent ipsilateral breast events (iBEs: DCIS recurrence or invasive progression) in both DCIS epithelium and stroma in formalin fixed paraffin embedded tissue. We generated de novo tumor and stroma-centric subtypes for DCIS that represents fundamental transcriptomic organization. Copy number analysis was performed using low-pass DNA sequencing. Non-negative matrix factorization (NMF) was applied to the RNA expression of all coding genes to identify clusters. A negative-binomial regression model was used to identify differentially expressed genes. Results. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up. In TBCRC samples, we identified three clusters via NMF in TBCRC referred to as ER low, quiescent, and ER high. The ER-low cluster had significantly higher levels of ERBB2 and lower levels of ESR1 compared to quiescent and ER-high clusters. Quiescent cluster lesions were less proliferative and less metabolically active than ER high and ER low subtypes. These findings were replicated in the RAHBT cohort. Focusing on the stromal component of DCIS from laser capture microdissection in RAHBT samples, we identified four distinct DCIS-associated stromal clusters. A “normal-like” stromal cluster with ECM organization and PI3K-AKT signaling; a “collagen-rich” stromal cluster; a “desmoplastic” stromal cluster with high fibroblast and total myeloid abundance, mostly associated with macrophages and myeloid dendritic cells (mDC); and an “immune-dense” stromal cluster. Further, we compared differentially expressed genes in patients with or without subsequent iBEs within 5 years of diagnosis. Hypothesizing that the resulting 812 DE genes (DESeq2) represent multiple routes to subsequent iBEs, we leveraged NMF to identify paths to progression. In both TBCRC and RAHBT cohorts, poor outcome groups exhibited increased ER, MYC signaling, and oxidative phosphorylation, supporting that these pathways are important for DCIS recurrence and progression. Conclusion. Comprehensive genomic profiling in two independent DCIS cohorts with longitudinal outcomes shows distinct DCIS stromal expression patterns and immune cell composition. RNA expression profiles reveal underlying tumor biology that is associated with later iBEs in both cohorts. These studies provide new insight into DCIS biology and will guide the design of diagnostic strategies to prevent invasive progression. Citation Format: Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West. The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS4-07.

Purpose To determine the pathologic complete response (pCR) rate in estrogen receptor (ER) –positive primary breast cancer triaged to chemotherapy when the protein encoded by the MKI67 gene (Ki67) level was > 10% after 2 to 4 weeks of neoadjuvant aromatase inhibitor (AI) therapy. A second objective was to examine risk of relapse using the Ki67-based Preoperative Endocrine Prognostic Index (PEPI). Methods The American College of Surgeons Oncology Group (ACOSOG) Z1031A trial enrolled postmenopausal women with stage II or III ER-positive (Allred score, 6 to 8) breast cancer whose treatment was randomly assigned to neoadjuvant AI therapy with anastrozole, exemestane, or letrozole. For the trial ACOSOG Z1031B, the protocol was amended to include a tumor Ki67 determination after 2 to 4 weeks of AI. If the Ki67 was > 10%, patients were switched to neoadjuvant chemotherapy. A pCR rate of > 20% was the predefined efficacy threshold. In patients who completed neoadjuvant AI, stratified Cox modeling was used to assess whether time to recurrence differed by PEPI = 0 score (T1 or T2, N0, Ki67 < 2.7%, ER Allred > 2) versus PEPI > 0 disease. Results Only two of the 35 patients in ACOSOG Z1031B who were switched to neoadjuvant chemotherapy experienced a pCR (5.7%; 95% CI, 0.7% to 19.1%). After 5.5 years of median follow-up, four (3.7%) of the 109 patients with a PEPI = 0 score relapsed versus 49 (14.4%) of 341 of patients with PEPI > 0 (recurrence hazard ratio [PEPI = 0 v PEPI > 0], 0.27; P = .014; 95% CI, 0.092 to 0.764). Conclusion Chemotherapy efficacy was lower than expected in ER-positive tumors exhibiting AI-resistant proliferation. The optimal therapy for these patients should be further investigated. For patients with PEPI = 0 disease, the relapse risk over 5 years was only 3.6% without chemotherapy, supporting the study of adjuvant endocrine monotherapy in this group. These Ki67 and PEPI triage approaches are being definitively studied in the ALTERNATE trial (Alternate Approaches for Clinical Stage II or III Estrogen Receptor Positive Breast Cancer Neoadjuvant Treatment in Postmenopausal Women: A Phase III Study; clinical trial information: NCT01953588).

Abstract Background: The Preoperative Endocrine Prognostic Index (PEPI) is a method to predict outcome after neoadjuvant endocrine therapy that integrates Ki67, estrogen receptor (ER) analysis and pathological stage from the surgical specimen (Ellis, JNCI 100:1380, 2008). We sought to further develop the PEPI for use in clinical trials by: a) establishing an efficient SOP for Ki67 analysis, b) determining the effect of simplifying the score by removing the ER component (modified "mPEPI") and c) independent validation of mPEPI in the ACOSOG (Alliance) Z1031 neoadjuvant aromatase inhibitor trial (Ellis, M, JCO 29:234, 2011). Methods: Ki-67 assay development focused on reproducing a 2.7% Ki-67 cut point (CP) required for PEPI. Ventana Image analysis (IA) to replace labor-intensive visual point counting (VPC) was assessed to increase scoring efficiency. Discordant scores led to a triage approach where cases with complex histological features that could not be resolved by IA were flagged for VPC. The Ki-67 scoring approach was preliminarily validated on T1/2 N0 cases from the P024 and POL trials (SABCS 2013, abstract P3-05-190). Models with and without ER suggested ER was dispensable. A locked SOP for mPEPI was subsequently applied to the Z1031A trial. The primary endpoint was time from the date of surgery to local, regional, or distant recurrence in the mPEPI-0 group (T1/2 N0, Ki67 &lt;2.7%) versus the mPEPI&gt;0 group. Results. mPEPI by IA was evaluated on 202 of 377 (53%) patients enrolled into Z1031A (6% of IA results were triaged to VPC). All patients have been followed a minimum of 2 years (median: 5 years; max: 7 years). Only 10 patients in the mPEPI-0 group (22.7%) received adjuvant chemotherapy, versus 78 in the mPEPI&gt;0 group (49.4%). Time to breast cancer recurrence was decreased among those with mPEPI&gt;0 status relative to those with mPEPI-0 status (log rank p=0.012). Only one disease event among 44 (2%) cases with mPEPI-0 was observed versus 26 of 158 cases with mPEPI&gt;0 (16.5%) Conclusions. mPEPI-0 status can identify patients at low risk of relapse after neoadjuvant endocrine therapy: therefore mPEPI-0 status has operational characteristics similar to pCR after chemotherapy for ER-negative disease. mPEPI is undergoing prospective validation in the Alliance ALTERNATE trial that will assess whether Fulvestrant increases the mPEPI-0 rate and also will prospectively determine whether patients with mPEPI-0 status can safely be managed without adjuvant chemotherapy treatment. Citation Format: Souzan Sanati, Vera J Suman, Rodrigo Goncalves, Katherine DeSchryver, Cynthia X Ma, Jeremy Hoog, Erika Crouch, Michael Barnes, Gary Unzeitig, A Marilyn Leitch, Kelly K Hunt, Matthew J Ellis. Validation of the preoperative endocrine prognostic index in the ACOSOG (Alliance) Z1031 neoadjuvant aromatase inhibitor trial [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-11-13.

Abstract Neoadjuvant endocrine therapy (ET) in patients (pts) with locally advanced estrogen receptor positive (ER+) breast cancer (BC) improves breast conservation rate, and importantly offers an opportunity for individualized assessment of tumor responsiveness to ET to guide subsequent treatment. Previous neoadjuvant ET trials demonstrated that pathologic tumor size (pT), axillary lymph node status (N), and tumor Ki67 value at surgery predicted risk of relapse. Preoperative endocrine prognostic index (PEPI) was therefore developed to assign risk scores based on these factors. Modified PEPI 0, defined by pT1-2 N0 Ki67&lt; 2.7%, was associated with extremely low risk of recurrence without adjuvant chemotherapy. In addition, high Ki67 post 2-4 weeks (wks) of neoadjuvant ET identified resistant tumors with poor outcome. ALTERNATE trial is a three-arm phase III neoadjuvant/adjuvant ET trial designed to achieve two primary objectives. The first is to prospectively validate that modified PEPI 0 predicts &gt; 95% relapse-free survival (RFS). The second is to determine whether fulvestrant (F), or fulvestrant (F) plus anastrozole (A), is superior to A in inducing a higher rate of modified PEPI 0. Secondary objectives include assessing RFS for pts with endocrine resistant tumor, defined by Ki67 &gt; 10% at 4 or 12 wk, disease progression, or modified PEPI non-0, and pathologic responses of resistant tumors to neoadjuvant chemotherapy. Correlative studies include degrees of Ki67 suppression and ER level post treatment. In addition, ongoing research sequencing studies of DNA and RNA will be performed to contrast sensitive vs resistant tumors. During the first phase of the trial, 1200 pts are randomized 1:1:1 to the F, A or F/A. This provides an 82% chance, 1-sided alpha 0.025 chi-square test to detect at least 10% difference in modified PEPI 0 rate comparing F or F/A with A. While waiting for result of analysis, the A arm will continue for the 2nd phase enrollment. Only the F-containing arm(s) superior over A will be continued to the 2nd phase. During the 2nd phase, an additional 540 pts in each arm is estimated to obtain 317 pts with PEPI score 0. This will have a 90% chance, with a one-sided alpha=0.025 nonparametric Brookmeyer-Crowley type one sample survival test, rejecting that 5 year RFS rate is 95%. The maximum sample size is 2820 pts. Eligible pts include postmenopausal women with newly diagnosed clinical stage II or III ER+ (Allred score 6-8) HER2- BC. Tumor biopsy is required at baseline, 4 wk, and surgery for central Ki67 analysis. Treatment decision is individualized based on 4 wk Ki67 and modified PEPI score. Pts with Ki67 &gt; 10% at 4 wk are switched to chemotherapy. Pts with a modified PEPI score of 0 are recommended not to receive chemotherapy, but continue the assigned ET for 1.5 years followed by 3 years of A. This trial is currently accruing pts through CTSU. This research is supported in part by NCI BIQSFP, and grants from Breast Cancer Research Foundation, Genentech, and the Investigator-Sponsored Study Program of AstraZeneca. The Clinical Trials.gov Identifier: NCT01953588. Citation Format: Cynthia X Ma, Vera Suman, A Marilyn Leitch, Souzan Sanati, Katherine DeSchryver, Gary W Unzeitig, Paul Haluska, Mark Watson, Olwen Hahn, Jo Anne Zujewski, Kelly Hunt, Eric P Winer, Cliff A Hudis, Matthew J Ellis. Alliance A011106: ALTernate approaches for clinical stage II or III Estrogen Receptor positive breast cancer NeoAdjuvant TrEatment (ALTERNATE) in postmenopausal women: A phase III study [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr OT2-1-04.

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&gt;T&gt;C vs AC&gt;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 &lt; 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 &lt; 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 &gt;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: 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

Purpose Preoperative aromatase inhibitor (AI) treatment promotes breast-conserving surgery (BCS) for estrogen receptor (ER) –positive breast cancer. To study this treatment option, responses to three AIs were compared in a randomized phase II neoadjuvant trial designed to select agents for phase III investigations. Patients and Methods Three hundred seventy-seven postmenopausal women with clinical stage II to III ER-positive (Allred score 6-8) breast cancer were randomly assigned to receive neoadjuvant exemestane, letrozole, or anastrozole. The primary end point was clinical response. Secondary end points included BCS, Ki67 proliferation marker changes, the Preoperative Endocrine Prognostic Index (PEPI), and PAM50-based intrinsic subtype analysis. Results On the basis of clinical response rates, letrozole and anastrozole were selected for further investigation; however, no other differences in surgical outcome, PEPI score, or Ki67 suppression were detected. The BCS rate for mastectomy-only patients at presentation was 51%. PAM50 analysis identified AI-unresponsive nonluminal subtypes (human epidermal growth factor receptor 2 enriched or basal-like) in 3.3% of patients. Clinical response and surgical outcomes were similar in luminal A (LumA) versus luminal B tumors; however, a PEPI of 0 (best prognostic group) was highest in the LumA subset (27.1% v 10.7%; P = .004). Conclusion Neoadjuvant AI treatment markedly improved surgical outcomes. Ki67 and PEPI data demonstrated that the three agents tested are biologically equivalent and therefore likely to have similar adjuvant activities. LumA tumors were more likely to have favorable biomarker characteristics after treatment; however, occasional paradoxical increases in Ki67 (12% of tumors with > 5% increase after therapy) suggest treatment-resistant cells, present in some LumA tumors, can be detected by post-treatment profiling.

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 &gt;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%&gt;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%&gt;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.