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504 Background: Axillary surgery in breast cancer is used for staging and therapeutic purposes, but axillary lymph node dissection (ALND) confers high risk of complications including lymphedema. Accordingly, trials have focused on right-sizing axillary surgery, with options ranging from complete omission of surgery, sentinel lymph node (SLN) surgery, targeted axillary dissection (TAD), or ALND. Identifying a biomarker to reliably predict nodal burden would facilitate accurate selection of surgical management. We evaluated whether the presence or absence of ctDNA in the blood pre and post NAC is associated with residual nodal burden. Methods: I-SPY2 is a prospective, multicenter NAC trial for patients with clinical stage II-III high-risk breast cancer. Patients are randomized to novel NAC agents, with pathologic complete response being the primary endpoint. As part of the trial, serial ctDNA is assessed with a highly sensitive tumor-informed assay using up to 16 patient-specific tumor mutations (Signatera) at baseline, 3 weeks, 12 weeks, and post-NAC. We determined whether ctDNA positivity or negativity post-NAC, and the change in ctDNA status baseline/post-NAC (-/-, -/+, +/+, +/-) are associated with ypN category (N0, N1, N2). Results: ctDNA status was available post-NAC in 495 patients and change in ctDNA status from baseline was available in 493. At baseline, ctDNA was detected in 160/220 (72.3%) cN0 patients and 227/273 (83.2%) cN+ patients (p=0.006). Post-NAC, ctDNA was detected in 11/220 (5%) cN0 patients and 34/273 (12.5%) cN+ patients (p=0.004). While baseline ctDNA status was not associated with ypN category, there was a significant association between post-NAC ctDNA status and ypN category. For ctDNA + patients post-NAC, 33.3% were ypN0, 31.1% were ypN1, and 35.6% were ypN2 at surgery; in contrast, for ctDNA - patients post-NAC, 67.1% were ypN0, 23.1% were ypN1, and 9.8% were ypN2 (p<0.0001). Dynamic ctDNA changes were also associated with ypN category, with significantly more ypN0 patients among ctDNA -/- or ctDNA +/- cases, and more ypN2 patients in those who did not clear ctDNA (+/+) (p=0.0001, Table). Conclusions: To our knowledge this is the first study to demonstrate a significant relationship between ctDNA and ypN category, which has important surgical implications. CtDNA negativity was associated with low likelihood of ypN2 disease, making these patients excellent candidates for SLN surgery or TAD. Ongoing analyses will incorporate receptor subtype and timing of clearance of ctDNA. CtDNA in breast cancer may help tailor surgical management of the axilla, potentially reducing patient morbidity without compromising prognostic information. ctDNA baseline/post-NAC ypN0 (n=317) ypN1 (n=116) ypN2 (n=60) ctDNA -/- (n=105) 72.4% 19.1% 8.6% ctDNA -/+ (n=1) 0.0% 100.0% 0.0% ctDNA +/+ (n=44) 34.1% 29.6% 36.4% ctDNA +/- (n=343) 65.9% 23.9% 10.2%

3008 Background: Numerous studies have demonstrated the prognostic value of ctDNA analysis after neoadjuvant chemotherapy for early-stage high-risk breast cancer. Few studies have characterized ctDNA in pts receiving NET for early-stage hormone receptor positive (HR+)/HER2- BC that is predicted to benefit less from chemotherapy. Methods: Cell-free DNA (cfDNA) was isolated from 432 plasma samples from 108 pts enrolled in the I-SPY2 EOP trial. Pts had Stage 2/3 HR+/HER2-, MammaPrint low or high risk 1 BC. Pts were randomized to one of 7 neoadjuvant-based treatment arms including arms containing AI, Z-endoxifen, Lasofoxifene, vepdegestrant (ARV-471), and Abemaciclib. Pts were treated for 6 months prior to surgery. Blood was collected at baseline (T0), 3 weeks (T1), 12 weeks (T2), and 6 months (T3). A personalized ctDNA test (Signatera) was designed to detect up to 16 patient-specific mutations (from whole-exome sequencing of pretreatment tumor) in cfDNA by ultra-deep sequencing. The chi-square test was used to assess associations between categorical variables, and the Wilcoxon rank-sum test was used to evaluate differences in medians. Results: ctDNA information was available for 101 patients at baseline (T0) (Table 1). At T0, 36 (35.6%) patients were ctDNA-positive. 23/36 (63.9%) became ctDNA-negative and 13/36 (36.1%) remained ctDNA-positive. At T0, 65/101 patients (64.4%) were ctDNA-negative. Of these, 57 (87.7%) remained negative, while 8 (12.3%) became ctDNA-positive at T1 before reverting to ctDNA-negative. A higher percentage of ctDNA-positive patients at T0 were cN+ compared to ctDNA-negative pts (p = 0.036, 64% vs. 40%). Additionally, ctDNA-positivity at T0 was strongly associated with higher Ki67 (p = 0.03) and larger functional tumor volume by MRI at baseline (p = 0.03). T3/T4 and high-grade tumors at baseline were also associated with having ctDNA positivity at baseline, though this was not statistically significant (p = 0.34 and 0.058, respectively). Conclusions: In this study of pts with Stage 2/3 HR+ HER2- BC with largely MammaPrint low risk signatures, over one-third of pts had detectable ctDNA at baseline. Detectable ctDNA at baseline was associated with cN+ disease, larger FTV, and high baseline Ki67. The majority of pts with positive ctDNA at baseline cleared the ctDNA on NET. Clinical trial information: NCT01042379 . Clinicopathologic characteristics of EOP patients. All Patients(N=101) Age at screening 55 (27-80) years* Clinical N Stage Node+ (cN+) 49 (48.5%) Node- (cN-) 52 (51.5%) SET status High 84 (83.2%) Low 14 (13.9%) Missing 3 (2.97%) MammaPrint (MP) risk** High risk 1 (H1) 15 (14.9%) Low risk 86 (85.1%) *Mean(min-max). **H1: MP score between 0 and -0.57; low: MP score between 0 and 0.355.

271 Background: Many studies have shown that fatigue is associated with poor outcomes such as quality of life and physical function in breast cancer survivors.Early treatment of symptoms that result in persistent fatigue may be a strategy to mitigate long-term fatigue.As a result, we studied symptoms and developed risk estimates for patients that are most likely to develop fatigue by pre-surgery and follow up among patients treated on the I-SPY 2 neoadjuvant trial. I-SPY 2 is a phase-II adaptive trial for high-risk early-stage breast cancer patients. Methods: In this retrospective cohort study of 306 women undergoing neoadjuvant chemotherapy +/- targeted therapy, patients complete electronic surveys of symptoms via 34 PRO-CTCAE items and QOL via 9 PROMIS instruments. Fatigue is collected as part of the PROMIS survey and scored using Health Measures. Study timepoints are screening (SC), weekly study treatment (ST), 12 weeks (12w), pre-surgery (PS) and at 1, 6, 12 and 24 months (FU1-FU4) following surgery. Correlation between symptoms and fatigue at equal timepoints was quantified using spearman correlations and BH-adjusted p-values. For symptom odds analysis, symptoms were binarized such that those that had an average grade of mild or above (severity), rarely or above (frequency) or a little bit or above (interference) between ST weeks 1-6 were considered present. Clinically significant (CS) increase in fatigue was defined as an increase >=0.5 standard deviation (SD) in mean from baseline. Logistic regression was used to determine odds ratios of factors associated with fatigue. Results: Baseline PROMIS fatigue mean score was 47.14 (SD 9.31) with a median of 47.45. A CS increase in fatigue from baseline was seen in 55% of patients at 12w, and 61% of patients pre-surgery. Of the patients that had a CS increase in fatigue at any point prior to surgery, 45.7% had persistent fatigue through FU1-4. Symptoms associated with Fatigue at 12w were shortness of breath, headache, and nausea (P< 0.03). At PS, fatigue was significantly correlated with GI symptoms, neuropathy, and shortness of breath (P< 0.03). Risk estimates for patients that filled out symptom surveys at early timepoints (weeks 1-6) and also had fatigue were evaluated. Patients with early GU (genitourinary) symptoms had higher risk of fatigue at IR (OR=9.33, p=0.02, 88.9% in cases vs 33.3% in controls). Patients with early GI symptoms at PS (OR=8.56, p=0.03, 90.1% vs 50%), or FU2-4 (OR= 5.88 and 7.36, p= 0.04 and 0.02, 80% vs 39.1% and 81.8% vs 36.3%) also had a higher risk of developing fatigue. Conclusions: A CS increase in fatigue during treatment and follow up is seen in the majority of patients and is associated with a large number of persistent symptoms.

Abstract Objectives We describe the development and implementation of a system for monitoring patient-reported adverse events and quality of life using electronic Patient Reported Outcome (ePRO) instruments in the I-SPY2 Trial, a phase II clinical trial for locally advanced breast cancer. We describe the administration of technological, workflow, and behavior change interventions and their associated impact on questionnaire completion. Materials and Methods Using the OpenClinica electronic data capture system, we developed rules-based logic to build automated ePRO surveys, customized to the I-SPY2 treatment schedule. We piloted ePROs at the University of California, San Francisco (UCSF) to optimize workflow in the context of trial treatment scenarios and staggered rollout of the ePRO system to 26 sites to ensure effective implementation of the technology. Results Increasing ePRO completion requires workflow solutions and research staff engagement. Over two years, we increased baseline survey completion from 25% to 80%. The majority of patients completed between 30% and 75% of the questionnaires they received, with no statistically significant variation in survey completion by age, race or ethnicity. Patients who completed the screening timepoint questionnaire were significantly more likely to complete more of the surveys they received at later timepoints (mean completion of 74.1% vs 35.5%, P &lt; .0001). Baseline PROMIS social functioning and grade 2 or more PRO-CTCAE interference of Abdominal Pain, Decreased Appetite, Dizziness and Shortness of Breath was associated with lower survey completion rates. Discussion and Conclusion By implementing ePROs, we have the potential to increase efficiency and accuracy of patient-reported clinical trial data collection, while improving quality of care, patient safety, and health outcomes. Our method is accessible across demographics and facilitates an ease of data collection and sharing across nationwide sites. We identify predictors of decreased completion that can optimize resource allocation by better targeting efforts such as in-person outreach, staff engagement, a robust technical workflow, and increased monitoring to improve overall completion rates. Trial Registration https://clinicaltrials.gov/study/NCT01042379.

601 Background: EOP is an I-SPY2 neoadjuvant sub-study designed to test the tolerability and impact of novel endocrine-based strategies in stage 2/3 BC pts predicted to have lower benefit from chemotherapy. Amcenestrant (A) is an oral selective estrogen receptor degrader (SERD) with activity in hormone receptor positive (HR+) HER2- metastatic BC. Methods: EOP eligibility included pts screened for the main I-SPY2 trial with HR+ HER2-, MammaPrint (MP) low risk Stage 2/3 BC. Pts with MP High risk tumor signatures were eligible if clinically node-negative (cN-). Pts were stratified by SET index and menopausal status. Pts were randomized to 3 arms: A 200 mg qd (A), A + abemaciclib 150 mg bid (AA), A + letrozole 2.5 mg qd (AL). Premenopausal pts received concurrent ovarian function suppression. Treatment was for 6 mos followed by surgery. Baseline (BL) and 3-wk biopsies were performed. Breast MRIs were conducted at BL (T0), 3 wks (T1), 12 wks (T2), 6 mos (T3). The primary endpoint was feasibility, defined as >75% of pts completing >75% study therapy. Results: Between May 2021 and Aug 2022, 74 pts were randomized: 31 A, 21 AA, 22 AL. Median age 50 years, 54% premenopausal, 38% clinically node-positive (cN+). 41% pts had ductal, 38% lobular, 11% mixed ductal/lobular histology. Mean BL tumor Ki67 (central testing) was 16.9%, 88% MP low, 76% SET index Hi. Pt and tumor characteristics were balanced across the 3 arms. Treatment in all 3 arms was feasible with 95% of pts completing >75% study therapy. Most common AEs include grade 1-2 hot flashes (69%) and fatigue (66%). Grade 3 AEs include neutropenia (2 pts) and diarrhea (1 pt) in AA. Table summarizes key response endpoints, which were similar between pre- and postmenopausal pts. Of 28 cN+ pts, 2 (7%) were pathologically node-negative (pN-). Mean MRI Functional Tumor Volume (cc) change between T0->T1, T1->T2, T2->T3, T0->T3 was -6.06 (-34.2%), -3.55 (-29.2%), -0.829 (-20.1%), -11.3 (-68.4%), respectively, similar across arms (p=0.396).ctDNA was detected in 10/59 (17%) pts at T0. ctDNA became undetectable in 6 pts, decreased in 4 pts, and went from ctDNA undetectable at baseline to detectable at T3 in 2 pts. Conclusions: Six months of neoadjuvant endocrine therapy (NET) with the oral SERD amcenestrant is feasible, well-tolerated, and demonstrates anti-proliferative and anti-tumor activity in pre- and postmenopausal pts. NET provides a rich platform for biomarker discovery and investigating response to endocrine therapy. Clinical trial information: NCT01042379 . [Table: see text]

11113 Background: Patient-reported outcomes (PROs) are valuable for understanding treatment tolerability and toxicity. I-SPY2 is a phase-II neoadjuvant clinical trial for breast cancer with electronic PROs and quality of life (QOL) assessments. We sought to understand how well the GP5 self-reported tolerability item reflected toxicity burden and QOL during treatment and follow-up in I-SPY 2 participants. Methods: Our study included 306 patients who completed the FACIT Item GP5 and answered PROMIS surveys at two or more timepoints. Analysis timepoints included screening (SC), inter-regimen (IR), pre-surgery (PS), 1-month post-surgery (FU1), and 6-months post-surgery (FU2). Symptoms were assessed weekly using PRO-CTCAE and CTCAEv4.0. QOL was evaluated using PROMIS. The GP5: “I am bothered by side effects of treatment,” was used to estimate tolerability, where worse tolerability is a higher score. Odds ratios, Spearman correlation, and regularized multi-variate regression were used to evaluate the associations between individual symptoms and adverse events with GP5 scores. Results: Demographic information was available for 243 of the 306 (70.2%) participants (median age=47,73.7% white). In the 306, tolerability scores worsened over study treatment, with a maximum mean score of 1.71 at Cycle 11. Tolerability improved after treatment cessation at FU1(1.09). Mean tolerability at week 6 was 1.53. The only clinical factor that was associated with early change in tolerability (week 6 to PS) was age >50 (mean score ranged from 1.55-1.70 vs 1.29-1.45 (age<50), p<0.05). PRO-CTCAE and GP5 correlative analysis suggested that higher grade abdominal pain, decreased appetite, dizziness and blurry vision significantly associated with higher GP5 scores at multiple timepoints (p<0.05). Symptoms not associated with tolerability were nail loss, acne, hair loss, and rash (p>0.05). Additionally, the total number of low-grade (mild to moderate) symptoms a patient experienced during study treatment was significantly correlated to poor tolerability (p<0.00001). Among patients with CTCAE data, 9% had adrenal insufficiency, and higher GP5 was found across all study timepoints in those with (compared to without) adrenal insufficiency (mean GP5 = [1.7-1.9] vs [1.3-1.5] respectively). Similarly, among patients with neuropathy (14%), higher GP5 scores were reported across all study timepoints (mean GP5 = [1.8-2.3] vs [1.3-1.5] respectively). Higher GP5 scores during treatment were correlated with higher fatigue scores at PS and FU1 (p<0.02 and p<0.001) and lower physical functioning at PS (p<0.01). Conclusions: TheGP5 measure is associated with self-reported symptoms, higher grade adverse events and quality of life scores. Furthermore, greater accumulation of lower grade symptoms can lead to poor tolerability. The single measure GP5 composite score reflects multiple components of treatment toxicity.

LBA509 Background: I-SPY2.2 is a multicenter phase 2 platform sequential multiple assignment randomized trial (SMART) evaluating novel experimental regimens in the neoadjuvant breast cancer setting. The novel therapy is given as first in a sequence (Block A), followed by standard chemo/targeted therapies (Block B/C) if indicated. The goal is to identify agents that lead to pCR after novel targeted agents alone, or in sequence with optimal therapy assigned based on the tumor response predictive subtype (RPS). RPS incorporates expression-based immune, DNA repair deficiency (DRD), and luminal signatures with hormone receptor (HR) and HER2 status to classify patients by subtype: S1: HR+HER2-Immune-DRD-; S2: HR-HER2-Immune-DRD-; S3: HER2-Immune+; S4: HER2-Immune-DRD+; S5: HER2+/non-Luminal; S6: HER2+/Luminal. Methods: RPS S1, S2, S3 and S4 were eligible for assignment to Dato in Block A. Patients (pts) were followed by MRI during treatment (at 3, 6 and 12 weeks after start of Blocks A and B). Predicted responders by MRI and biopsy at the end of Block A or B have the option of going to surgery early, otherwise they proceed to next treatment Block (B +/- C). Randomization to Block B includes a taxane-based regimen specific to the RPS, and options include S1: paclitaxel; S2 and S3: paclitaxel + carboplatin + pembrolizumab; S4: paclitaxel + carboplatin vs. paclitaxel + carboplatin + pembrolizumab. Patients who did not go to surgery after Block B proceeded to Block C (AC or AC + Pembrolizumab if HR-HER2-). The primary endpoint is pCR. Efficacy is evaluated within each RPS and HR+HER2- and HR-HER2- signatures. To estimate the arm's efficacy as a stand-alone therapy, we use a Bayesian covariate-adjusted model to estimate the pCR rate and compare the posterior distribution to a subtype-specific fixed threshold. This model uses pCR data when available and MRI data when pCR is not. To estimate pCR rate in the context of a multi-decision treatment regimen, we use a Bayesian model based on if and when a pCR occurred in the trial. The posterior is compared to a subtype-specific dynamic control generated from historical I-SPY data. Results: 103 pts were randomly assigned to the Dato arm between August 2022 and August 2023. All patients have proceeded beyond Block A; 33 went to surgery after Dato alone. The efficacy results for Dato as a stand-alone therapy are summarized in Table. Conclusions: Dato monotherapy was active, particularly in the HR-HER2- signature, but did not meet the pre-specified threshold for graduation in I-SPY 2.2. Clinical trial information: NCT01042379 . [Table: see text]

e12641 Background: Many promising agents or combinations regimens relevant to breast cancer lack sufficient clinical information for use in the neoadjuvant setting. To enable acceleration of drug development by reducing time and cost of clinical trial planning and conduct, the Phase I initiative PRE-ISPY Program was created. Methods: The PRE-ISPY Program is built within the I-SPY network, with the overall aim to streamline the regulatory pathway and the processes of trial design, contracting, activation, enrollment, execution, data gathering and analysis, as well as reporting of new therapeutic agents or combinations of relevance to breast cancer. Results: The PRE-ISPY trial is an open-label platform phase IB study designed to evaluate compelling single agent or combination regimens with the overall goal of moving promising drug regimens into I-SPY2 Trial and/or into other oncology-based trials in a timely manner. Graduation of a PRE-ISPY regimen to I-SPY2 is not mandatory. The primary objectives in each study Arm are to determine safety and to obtain preliminary efficacy data of the new regimen in patients with metastatic cancer, including a cohort of breast cancer patients. Each Arm may contain a Part 1 (dose finding) and a Part 2 (dose expansion). The new treatment can be tested also in patients with other solid malignancies than breast cancer, in which the treatment may be applicable, as specified in the design of the Arm. A breast cancer specific cohort is required in Part 2. Candidate treatment regimens are selected with advice from the I-SPY2 Agent Selection Working Group. The PRE-ISPY/Phase IB trial has multiple ongoing drug regimen Arms subsequently added as new protocol appendices through amendments to a Master protocol. There is no randomization; participants are enrolled, and treatment selected according to the relevance of therapy to their disease. Prospective companion biomarkers are evaluated. The current arms under study are PRE1: ALX-148 combined with trastuzumab deruxtecan; PRE2: tucatinib combined with zanidatamab; and PRE3: vidutolimod combined with cemiplimab. Selected agents or therapeutic combinations are tested through this protocol in the I-SPY Network Centers that participate in the PRE-ISPY Program. Toxicities are graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE). Clinical responses are evaluated based on RECIST v1.1 criteria. Conclusions: Once safety is established, promising regimens can be rapidly transitioned to I-SPY 2.2 or other phase 2/3 trials. The first patient was enrolled on 2/1/2023. Clinical trial information: NCT05868226 .

594 Background: Recent analyses in HER2+ and triple negative (TN) breast cancer (BC) treated with neoadjuvant systemic therapy (NAST) suggest that extent of disease at presentation (tumor [T] size and nodal [N] involvement) influences outcomes independently of response to NAST, even in the context of pathologic complete response (pCR). Given this, we evaluated the association of clinical T and N status prior to NAST with long-term outcomes in I-SPY2. Methods: We identified patients (pts) with TN and HER2+ BC who received NAST on the I-SPY2 trial with available clinical T size and N status prior to NAST, pathologic response after NAST, and follow up for recurrence and survival. We conducted univariable and multivariable (MV) Cox proportional models for Event Free (EFS), Distant Recurrence Free (DRFS), and Overall Survival (OS) in TN and HER2+ BC according to response after NAST, adjusting for residual cancer burden (RCB) category. Results: Of 1,170 pts with TN or HER2+ BC, 1,013 were eligible (TN: 623 and HER2+: 390), after 157 pts were excluded due to missing critical variables. Median follow up was 4.4 years (range 0.3-10.2). Median age was 48 for TN and 49 for HER2+ BC. Following NAST, pCR was achieved in 277 (45%) pts with TN and 197 (51%) pts with HER2+ BC. Among pts with pCR, separate MV analyses for TN and HER2+ BC showed no independent association between clinical T and N category with EFS, DRFS or OS (p values all > 0.05). However, among pts with residual disease, clinical T category (but not clinical N status) prior to NAST retained independent prognostic information in both TN and HER2+ BC in a MV model adjusting for age, RCB class, and hormone receptor status (for HER2+ BC). Compared to cT1-2, cT3-4 stage at diagnosis was associated with worse EFS, DRFS, and OS in TNBC, and with worse EFS, DRFS (but not OS) in HER2+ BC (Table). Additionally, hormone receptor status was independently associated with outcomes in HER2+ BC with residual disease (data not shown). The 5y EFS for cT1-2 vs cT3-4 according to RCB class in TNBC were: RCB0: 94% vs 95%, RCB1: 90% vs 65%, RCB2: 74% vs 44% and RCB3: 45% vs 20%. The 5y EFS for cT1-2 vs cT3-4 according to RCB class in HER2+ were: RCB0: 95% vs 88%, RCB1: 89% vs 84%, RCB2: 85% vs 64% and RCB3: 56% vs 50%. Conclusions: Tumor size (but not N involvement) prior to NAST was independently associated with outcomes in TN and HER2+ BC with residual disease, independently of RCB class. TN and HER2+ BC achieving pCR exhibited favorable outcomes regardless of extent of disease prior to NAST. These data are consistent with prior findings of the Neobioscore contributing only in the context of residual disease. Clinical trial information: NCT01042379 . [Table: see text]

Abstract Background: Neoadjuvant immunotherapy (IO) has become standard of care for early-stage triple negative breast cancer (TNBC). I-SPY2 was the first randomized trial to examine the efficacy of IO therapy in high-risk HR+HER2- breast cancer, where most IO arms showed improved efficacy relative to control. We also previously showed immune-gene expression signatures associate with pathologic complete response (pCR) in HR+HER2- treated with IO; and developed a clinically applicable Immune classifier (ImPrint) predicting response to IO that is now being used in I-SPY2.2 as part of the Response Predictive Subtypes. Here we report the performance of ImPrint in HR+HER2- patients from 5 IO arms. Methods: 204 HR+HER2- (MammaPrint high risk) patients from 5 IO arms (anti-PD1, anti-PDL1/PARPi, anti-PD1/TLR9 dual-IO, and anti-PD1 +/- LAG3 dual-IO) and 191 patients from the control arm were included in this analysis. Patients were classified ImPrint+ (likely sensitive) vs. ImPrint- (likely resistant), by Agendia, Inc, using pre-treatment mRNA. Performance of ImPrint for predicting pCR to IO was characterized and compared to that of MammaPrint (ultra) High2 risk (MP2) and tumor grade (III). Based on the DRFS of pCR vs. non-pCR HR+HER2-/ImPrint+ patients (median follow up ~4.5yr), we predicted the DRFS in the IO vs. control arms using an exponential model as a function of the pCR rates. Results: Overall, the pCR rate over the 5 IO arms was 33%. 28% of HR+HER2- patients were ImPrint+; and pCR rates with IO were 76% in ImPrint+ vs. 16% in ImPrint-, with the highest pCR rate &gt;90% in a dual-IO arm. In the control arm, pCR rates were 33% in ImPrint+ and 8% in ImPrint-. Based on the pCR rates in the IO vs. control (76% vs. 33%), the predicted DRFS of HR+HER2-/ImPrint+ patients are 91% vs 80% at 5 years, respectively. This translates to a risk reduction of 52% for the IO arm relative to standard chemotherapy in HR+HER2-/ImPrint+ patients. We also compared MP2 and tumor grade (III) to ImPrint+ as pCR predictors, as these markers have been used or proposed as selection markers for neoadjuvant IO trials in HR+HER2-. The pCR rates for MP2, Grade III, at 56%, 45%, respectively, are much smaller than that for ImPrint+ at 75% pCR; thus ImPrint appears to be a more precise predictive biomarker for neoadjuvant IO therapy in the HR+HER2- breast cancers. Conclusion: These results suggest that a subset of high risk HR+HER2- breast cancers is highly sensitive to immunotherapy, and by using a specific and sensitive selection strategy patients could achieve pCR rates similar to what is seen with best neoadjuvant therapies in TNBC and HER2+ (i.e., pCR rate &gt; 65-70%). ImPrint, an FDA IDE-enabled assay currently being further evaluated in I-SPY2, may represent the way to identify patients for IO that best balances likely benefit vs risk of serious immune-related adverse events. Citation Format: Denise M. Wolf, Christina Yau, Lajos Pusztai, Rita Nanda, Jo Chien, Erica Stringer-Reasor, Rebecca Shatsky, Claudine Isaacs, MInetta Liu, Hyo Han, Hatem Soliman, Michael Campbell, Annuska Glas, Andrei Barcaru, Lorenza Mittempergher, Midas Kuilman, Lamorna Brown Swigart, Gillian Hirst, Hongmei Yu, Philip Beineke, Amrita Basu, I-SPY2 Investigators, Douglas Yee, W. Fraser Symmans, Angela DeMichele, Jane Perlmutter, Amy Delson, Laura Huppert, Hope Rugo, Amy Clark, Nola Hylton, Paula Pohlmann, Laura Esserman, Laura van 't Veer. Immune subtyping identifies a subset of HR+HER2- early-stage breast cancer patients with a very high likelihood of response to neoadjuvant immunotherapy (IO): Results from 5 IO arms of the I-SPY2 TRIAL [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1207.