Symmans, W. Fraser

Importance Although adding immune checkpoint inhibitors to neoadjuvant chemotherapy improves outcomes in high-risk early-stage breast cancer, opportunities remain to further enhance response. Dual checkpoint blockade offers a potential strategy to further enhance efficacy. Objective To evaluate the combination of anti−programmed cell death 1 protein (PD-1) cemiplimab and anti−lymphocyte activation gene 3 (LAG-3) added to neoadjuvant therapy in ERBB2 -negative early-stage, high-risk breast cancer. Design, Setting, and Participants The I-SPY2 (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging and Molecular Analysis 2) is an ongoing randomized clinical platform trial being conducted at multiple US clinical sites including patients with early-stage (II or III) ERBB2 -negative, high-risk breast cancer. Participants, continuously enrolled since 2010, were adaptively randomized from February 2, 2020, to December 9, 2021, to one of several experimental neoadjuvant therapies or control groups based on receptor subtypes defined by hormone receptor (HR), ERBB2 status, and MammaPrint (Agendia Inc) molecular risk, categorized as high (MP1) or ultrahigh (MP2). Data were analyzed from January 1, 2022, to August 5, 2025. Interventions Both groups received weekly paclitaxel for 12 weeks, then doxorubicin and cyclophosphamide followed by surgery; concomitant with paclitaxel, the intervention group also received 4 doses of cemiplimab and fianlimab (PCF) every 3 weeks. Main Outcomes and Measures Pathologic complete response (pCR). Treatments graduated when they achieved 85% bayesian probability of success in a subtype-specific phase 3 trial. Pathway-specific biomarkers were assessed for response prediction. Results A total of 78 participants (mean [SD] age, 47 [39-54] years) were randomized to the intervention group, with 350 participants (mean [SD] age, 48 [39-57] years) randomized to the historical control population. PCF graduated in all clinical signatures, with pCR rates vs control of 44% (95% CI, 34%-53%) vs 21% (95% CI, 17%-25%) in all ERBB2 , 53% (95% CI, 39%-67%) vs 29% (95% CI, 22%-36%) in triple-negative, and 36% (95% CI, 23%-49%) vs 14% (95% CI, 9%-19%) in HR-positive and ERBB2 -negative disease. Among the total participants, 16 (21%) experienced adrenal insufficiency, including hypophysitis (11% grade 3 or 4), mostly occurring after immunotherapy completion. PCF was found to be highly effective in the subset of patients with immune signature positive status (ImPrint positive). Conclusions and Relevance In this randomized clinical trial, the combination of PD-1 and anti−LAG-3 inhibition with standard NAC was effective in early-stage ERBB2 -negative breast cancer, particularly in patients displaying a positive ImPrint immune signature. These results warrant further definitive trials. Trial Registration ClinicalTrials.gov Identifier: NCT01042379

625 Background: I-SPY 2 is a multicenter phase II adaptive platform trial evaluating novel agents for stage II-III high-risk breast cancer using response-predictive subtypes (RPS) and a sequential neoadjuvant treatment design of up to three blocks (A/B/C). Investigational regimens are given in Block A, followed by response-guided escalation to standard-of-care (SOC) therapy (tx) in subsequent blocks or early surgery for responders. Topoisomerase I (TOPO1) inhibition plus PARP inhibition may enhance DNA damage and tumor response. DAN-222 is a tumor-targeted polymeric camptothecin conjugate designed to improve the therapeutic index of TOPO1 inhibition. Based on favorable phase 1 safety and preliminary activity in metastatic breast cancer, DAN-222 plus niraparib was evaluated as Block A tx in HER2− disease. Notably, the neoadjuvant regimen used a higher dose of niraparib (200 mg daily) than the prior phase 1 metastatic study. Methods: Patients (pts) with HER2− breast cancer were randomized to DAN-222 plus niraparib for up to 12 weeks in Block A. Response was assessed by serial MRI and biopsy. Inadequate responders escalated early to SOC tx in Blocks B/C. Primary endpoint was pathologic complete response (pCR). Secondary endpoints included residual cancer burden, safety, early discontinuation, and treatment-strategy performance versus subtype-specific SOC tx controls. Given established PARPi sensitivity in BRCA mut disease, the key objective was to assess clinically meaningful activity of DAN-222 plus niraparib in BRCA wt pts. Accordingly, a prespecified Bayesian interim futility analysis focused on BRCA wt and tested the probability of the true pCR rate after Block A alone exceeded 15% after 50 pts. Results: Fifty pts enrolled from Sep to Dec 2024. In BRCA wt (n=47), estimated Block A pCR was 3%, with posterior probability of 0.02 that that true pCR exceeded 15%, meeting futility criteria and prompting arm closure. Across all blocks, pCR rate was 57% (8/14) for HR-HER2−; 11% (4/36) for HR+ HER2−, largely after SOC tx. 2/3 BRCA mut pts achieved pCR. Treatment strategies initiating with DAN-222 plus niraparib underperformed subtype-specific controls. 68% discontinued Block A early, mainly due to toxicity. Grade ≥3 cytopenias were common: neutropenia (n=25; 50%), anemia (24%), and thrombocytopenia (18%). Cystitis occurred in 36% (1 grade ≥3). Conclusions: Neoadjuvant DAN-222 plus niraparib showed insufficient activity and no treatment-strategy benefit in BRCA wt HER2− breast cancer, underscoring challenges for TOPO1–PARP inhibitor combinations. Although not supported for further development in this setting, these results highlight the strength of I-SPY 2 in rapidly enrolling patients and quickly distinguishing ineffective from promising therapeutic strategies to accelerate progress toward improved outcomes for patients with curable breast cancer. Clinical trial information: NCT01042379 .

Abstract Introduction: Pathological complete response (pCR) is a strong prognostic marker, but survival outcomes comparing treatment to control do not reliably align with treatment-control differences in pCR rates in breast cancer. A novel Bayesian hierarchical framework models treatments within trials, allowing us to predict treatment effects on distant recurrence-free survival (DRFS) from pCR with greater accuracy. Methods: We analyzed 12 neoadjuvant breast cancer trials (6,000 patients, all HR/HER2 subtypes; including I-SPY2). The framework of Burzykowski, Molenberghs & Buyse (2005) is extended to a novel arm-based hierarchical structure providing a distribution of pCR and DRFS treatment effects controlling for subtype (HR/HER2), N and T stage, grade, and calendar year. Three held-out trials (877 patients; 26 regimens; med follow-up >4 years) validate predictions of DRFS treatment benefit from pCR. All data was used to estimate treatment-effect correlation and the surrogate threshold effect (STE). Analyses were repeated for Residual Cancer Burden Index (binary RCB01, continuous RCB). Results: Predicted probability of DRFS benefit closely matched actual DRFS follow-up (mean absolute error 0.06; Pearson r = 0.9). Across all trials, pCR showed moderate surrogacy (ρ = 0.82, R2 = 0.67). A 60% increase in pCR odds achieves ≥95% probability of DRFS benefit (STE = OR of 1.60). RCB outperforms pCR across all metrics, with 92% sensitivity and 93% specificity for detecting DRFS benefit in 26 validation regimens (Table 1). Conclusion: This novel Bayesian meta-analytic framework reveals that pCR, RCB01 and continuous RCB reliably predict survival benefit across heterogeneous trials, with RCB performing the best in an external validation. This provides a statistical foundation for accelerated approval decisions using robust early biomarkers in modern neoadjuvant trial designs by accurately predicting survival at the treatment arm level. Citation Format: Keli S. Santos-Parker, Jessica R. Santos-Parker, W. Fraser Symmans, Laura J. Esserman, Christina Yau, Angie DeMichele, Laura van't Veer, Doug Yee, Fabien Reyal, Helena Earl, Jean Abraham, David Cameron, Peter Hall, Judy Boughey, Matthew Goetz, Gabe Sonke, Miguel Martín, Sara López-Tarruella, Priyanka Sharma, Rachel Freiberg, Jane Perlmutter, Aditya Bardia, Martin Eklund, Rachel Freiberg, Lajos Pusztai. A novel statistical framework for surrogate endpoint prediction of survival in neoadjuvant breast cancer trials [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1401.

Abstract Introduction Cancer clinical trials have historically faced challenges in achieving fully representative trial population, particularly in terms of including patients from diverse ethnic and racial groups, those with low socioeconomic status, and those living in rural regions. This has contributed to inequities in access to novel therapeutic options. Background The I-SPY adaptive platform trials have prioritized diversity since inception, consistently enrolling in >10% of trial patients being Black and/or Hispanic individuals. The majority of participating institutions in the I-SPY 2.2 study are academic or large well-resourced health systems. In 2023, the I-SPY ACCESS (Achieving Cancer Clinical Trial Equity in Socioeconomically Diverse Sites) Initiative was launched to enhance representation by engaging and involving nontraditional trial sites- such as safety-net hospitals, community cancer centers, and rural cancer centers- that serve historically excluded patient populations. Methods The I-SPY ACCESS Initiative offers customized and personalized tailored support to under-resourced sites. This includes comprehensive feasibility and readiness assessments, onboarding guidance, enhanced site-specific training, centralized institutional review board (IRB) navigation, site peer mentorship, and educational materials for both patient and provider. Additionally, patients gain access to I-SPY advocate peer trial navigators. Sites are provided culturally responsive patient education tools- including multilingual brochures, a dedicated patient website, and content co-developed with community partners. A Clinical Trial Navigator supports both patients and sites, helping to locate logistical, social, and trial specific resources.Tools such as virtual Clinical Research Coordinators (vCRC's) and OneSource technology are deployed strategically based on assessed site need and resource availability. OneSource is an innovative platform that enables direct extraction of clinical data from electronic health records into trial databases, reducing site workload and improving data quality. Funding models are currently being explored to extend OneSource and vCRC services across more ACCESS sites. In the future, there are plans to pilot financial navigation services and integrative care resources for all patients enrolled in I-SPY with particular focus on those enrolled at ACCESS sites. Results and Progress As of June 2025, seven sites have been assessed as ACCESS sites for I-SPY 2.2, with two sites having successfully completed activation and currently enrolling participants. Beginning in mid-2024, one DCIS RECAST ACCESS site has been activated and 11 additional sites are in the onboarding process. The modest pace of I-SPY 2.2 activation reflects the complexity and operational demands associated with resource-intensive platform trial. In contrast, the DCIS RECAST protocol was designed with a lower burden, facilitating easier implementation by under-resourced sites, reflected by increased interest in the study among ACCESS sites. The ACCESS framework is being explored for potential future application in the Pre I-SPY Phase 1 platform trial, particularly considering the historical underrepresentation of such sites in the early-phase clinical research. Conclusion and Future Goals The I-SPY ACCESS initiative demonstrates that investing in thoughtful, innovative, and effective means for trial delivery, as well as incorporating community-based support, can strengthen representation in complex, adaptive breast cancer trials. The initiative offers a flexible, equity-driven framework that is impactful now and scalable for future innovation in oncology research. Citation Format: S. L. Horton, D. A. Idossa, K. C. Hewitt, J. Perlmutter, L. Van't Veer, N. Hylton, A. Borowsky, F. Symmans, D. Yee, C. Yau, P. Pohlmann, J. Boughey, L. Esserman. Expanding Diversity through Innovation: Development of the I-SPY ACCESS Initiative for the I-SPY2.2 and DCIS RECAST Clinical Trials [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-09-08.

Abstract Background: (Z)-endoxifen (ENDX) is an oral SERM that dually targets ERα (> 5 ng/ml) and PKCβ1 (>500 ng/ml). It has been tested in the endocrine resistant setting at doses of 20-360 mg/day; however, the optimal dose in an endocrine naïve population is not defined. We explored 10 mg/day dose of neoadjuvant ENDX in the Endocrine Optimization Pilot (EOP) of I-SPY2. Methods: EOP eligibility included pts with Stage II/III HR+ HER2- breast cancer, MammaPrint (MP) low. Pts with MP High1 scores were eligible if clinically node-negative. Pts received ENDX 10 mg orally once daily for 6 cycles (each cycle = 28 days). Premenopausal pts started ovarian function suppression on cycle 2, day 1. ENDX was continued until the day prior to surgery. The primary study endpoint was feasibility, defined as >75% of pts completing >75% of ENDX. Baseline (T0), 3-wk (T1) biopsies, and the surgical specimen (T3) were assessed centrally for Ki-67. Rates of modified preoperative endocrine prognostic index (mPEPI) 0 were reported, defined as pT1-2 pN0, Ki67< 2.7%, or pathologic complete response. A genomic index for sensitivity to endocrine therapy (SET) index was done at T0. Breast MRI measurement of functional tumor volume (FTV) was performed at T0, T1, 12 weeks (T2), and pre-operatively (T3). Blood was collected for tumor informed ctDNA at T0, T1, T2, T3 and for pharmacokinetic (PK) steady state concentrations (Css) at T1. Safety data using CTCAE V5 is reported. Results: Between March 2023 and May 2024, 20 pts were enrolled in this arm. The median age was 52.5 years (range 32 -73), 13 (65%) were premenopausal, and 55% had clinically positive lymph nodes. Tumors were MPHigh1 in 3 pts (15%) and SET2,3 index high in 16 pts (80%). The primary endpoint was met with 95% of study participants completing ≥75% of therapy. The T0 median Ki-67 was 10.5% (range 2-60%). At T1 (n=19) and T3 (n=18), median Ki-67 was 5% (range 0-35%) and 5% (range 0-45%), respectively. The 3-week rate of Ki-67 ≤10% at T1 was 61.5% in premenopausal and 71.4% in postmenopausal women. The rate of Ki-67 ≤10% at surgery was 81.8% in premenopausal and 57.1% in postmenopausal women. An mPEPI score of 0 was observed in 1 (5%) of participants. The median T0 FTV was 8.9 ccs (range 0.9 to 251.1). The median T3 FTV was 1.3 ccs (range 0 to 11.2) and the median change in FTV from T0 to T3 was -72.0% (range -88.5% to -61.6%). ctDNA analysis was performed in 17 pts longitudinally across 64 blood samples.10 pts had positive ctDNA at T0, with 7 converting to ctDNA undetectable during treatment with ENDX. 1/7 pts who was ctDNA negative at T0 became positive at T1 and then reverted to undetectable ctDNA. The other 6 pts remained ctDNA negative at all timepoints. The median ENDX T1 Css was 79.3 ng/mL (range 73.6 - 906.4 ng /mL). The most common side effects reported were Grade 1 hot flush (70%), nausea (40%), fatigue (40%), and insomnia (35%). Grade 2 side effects included fatigue (15%) and night sweats (5%). No dose reductions or discontinuations due to toxicity occurred. Conclusions: ENDX at 10 mg was well tolerated and demonstrated reductions in Ki-67, MRI FTV, and ctDNA. The ISPY2 EOP is currently enrolling patients to ENDX 40 mg/day (intended to dually target ERα and PKCβ1) in combination with abemaciclib (with and without OFS). Citation Format: K. V. Giridhar, M. P. Goetz, C. Yau, A. M. Wallace, C. Falkson, J. Boughey, M. Arora, E. Stringer-Reasor, C. Nangia, C. Gallagher, A. Elias, A. Zimmer, M. S. Trivedi, C. Omene, L. van 't Veer, L. Brown Swigart, G. L. Hirst, W. Symmans, A. D. Borowsky, N. Onishi, N. Hylton, C. Vakalvas, M. Wei, J. M. Reid, S. Alhafaji, N. Chen, R. M. Mukhtar, L. Huppert, O. Opopade, L. J. Esserman, A. Chein. Low dose (Z)-endoxifen in the I-SPY2 Endocrine Optimization Pilot [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-07-10.

Abstract Background: Stromal tumor infiltrating lymphocytes (sTILs) are associated with improved response to chemotherapy and better overall survival (OS) in triple-negative breast cancer (TNBC). Quantification of sTILs via hematoxylin and eosin (H&E) tumor slides offers a widely available method to define a simple, effective surrogate for host anti-tumor immunity. Digitization of H&E slides has rapidly gained acceptance for use in diagnostic pathology and research, opening the door for image-based computational approaches to enumerate sTILs, among other features. Methods: We describe QuTILs - a multilayer perceptron-based framework to detect/enumerate TILs trained on >700,000 cells via The Cancer Genome Atlas Program (TCGA) slide images, implemented in the widely used open-source QuPath digital pathology suite. QuTILs was applied to digital H&E images using standard computing in primary breast tumors from phase 3 breast cancer clinical trials - CALGB 40502 (testing), CALGB 40601 and 40603 (validation) - in total 1,729 total images from 962 unique patients. The aims of this investigation were: 1) to assess the relationship between TIL patterns with overall or event-free survival outcomes; 2) to benchmark diverse image-based characteristics of TIL abundance and spatial architecture; and 3) to evaluate the association between image-based TIL levels and RNA-seq-based immune deconvolution metrics (CIBERSORT, EPIC, quanTIseq). Results: QuTILs average processing time was 7.9 minutes for whole-slide total TIL count and area density on a standard laptop workstation. In CALGB 40502, there was positive but modest correlation between pathologist TILs and QuTILs total TILs %, higher in the TNBC subgroup of CALGB 40502 (Pearson r = 0.55). In Cox proportional hazards models, the CALGB 40502 TNBC cohort showed significant univariate association for total TILs % with increasing decile (higher total TIL%) associated with reduced hazard (hazard ratio [HR]: 0.712, 95% CI: 0.559-0.906; P = 0.006), which remained significant in multivariable model incorporating age, race, and treatment arm (HR: 0.713, 95% CI: 0.556-0.915; P = 0.008). In validation TNBC clinical trial CALGB 40603, marginal TILs % was significant in the univariable Cox model (HR: 0.786, 95% CI: 0.639-0.966). Evaluation of TILs % by QuTILs with RNAseq-based deconvolution metrics in cohort-stratified and deconvolution method-stratified multivariable models showed that decile total TILs % by QuTILs was shown to significantly predict outcome in the EPIC (HR: 0.668, 95% CI: 0.466-0.957) and quanTIseq (HR: 0.646, 95% CI: 0.446-0.936) sets, with a similar magnitude as in clinical Cox, suggesting that RNA-based deconvolution estimates may not supplement the prognostic power of image-based TIL estimates. Exploratory analyses of pre- versus post-neoadjuvant therapy H&E images in CALGB 40603 and CALGB 40601 revealed a significant decrease in QuTILs total TIL% in CALGB 40603 for all pairs (n = 118 pairs, pre-median=9.52%, post-median=6.33%; Wilcoxon signed rank P < 0.001) but no significant change in QuTILs total TIL% among all pairs in CALGB 40601 (n = 82 pairs, pre-median=15.92%, post-median=15.10%; P = 0.886). Conclusions: QuTILs provides a computationally efficient open-source workflow for sTIL identification from digital H&E images that can be deployed on a standard laptop. We present the first evaluation of digital sTIL enumeration in CALGB 40502, CALGB 40603, and CALGB 40601 phase III breast cancer clinical trials and demonstrate significant prognostic association with QuTIL total TIL % among TNBCs across studies. Citation Format: M. Vater, R. Salgado, E. Blige, H. Lefebvre, A. Strahan, M. Gatti-Mays, H. Rugo, K. Ballman, M. Watson, Y. Wen, R. Leon-Ferre, K. Niazi, W. Symmans, L. Carey, K. AbdulJabbar, Z. Li, D. Stover. Qutils: open-source image-based infiltrating immune cell detection and outcomes in calgb 40502, calgb 40603, and calgb 40601 phase iii breast cancer clinical trials [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-27.

Abstract Background: PALLAS (PALbociclib CoLlaborative Adjuvant Study, NCT02513394) is a randomized phase III trial comparing two years of the CDK4/6 inhibitor palbociclib combined with the physician’s choice of adjuvant endocrine therapy, versus endocrine therapy alone for patients with Stage II-III hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer. Molecular residual disease (MRD) detection via circulating tumor DNA (ctDNA) testing was a predefined biomarker analysis to identify patients at highest risk of recurrence. Methods: PALLAS participants with available tumor block, at least a baseline (pre-study treatment) plasma sample, and either whole blood or buffy coat were randomly selected from the overall study population. Plasma samples on cycle 1 day 1 (C1D1), cycle 6 day 1 (C6D1), and at the end of treatment (EOT) were collected, processed, and stored. Nucleic acids were extracted from primary tumor tissue or, when primary tissue was insufficient, from post-neoadjuvant tumor tissue, provided the sample had sufficient material and tumor cellularity (>25 mm2 tissue area with ≥20% tumor nuclei). Data from next generation sequencing of tumor tissue and matched normal DNA were used to create a personalized ctDNA SignateraTM assay (Natera, Inc.) for MRD assessment in the peripheral blood. ctDNA was reported as mean tumor molecules/mL (MTM/mL) of plasma. The primary endpoint was distant recurrence-free interval (DRFI) based on ctDNA status. Cox Proportional Hazards models were used to evaluate prognosis and predictive interactions. To minimize bias, the biorepository and laboratory teams were blinded to participant identity. Results: In total, 1280 participants were randomly selected for inclusion in this preplanned ctDNA sub-study. WES and WGS are being conducted on tissue, and Signatera results will be generated. Results for association of MRD status (positive/negative) and MTM/mL with DRFI in the context of 7 year median follow up of this study cohort will be reported. Conclusions: The planned analysis is ongoing and the presented work will provide data from the first randomized phase 3 adjuvant study in HR+/HER2- breast cancer to report MRD status by treatment arm. Citation Format: H. A. Parsons, K. Ballman, E. Heitzer, M. Watson, M. Balic, D. Hlauschek, D. Renner, E. Kalashnikova, G. Steger, J. M. Balko, Y. Novik, M. Martin, A. A. Rodriguez, Z. Dayao, A. Chan, E. Nili Gal-Yam, M. C. Liu, C. Isaacs, M. Los, M. Gil Gil, B. Felder, C. Denkert, P. Fasching, F. Liu, T. O'Donnell, E. L. Mayer, M. Gnant, W. F. Symmans, A. DeMichele. Tumor-informed circulating tumor DNA analysis to assess molecular residual disease for prognosis and prediction of benefit from palbociclib in the PALLAS trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF3-04.

Abstract Background PALLAS trial compared palbociclib plus endocrine therapy (ET) vs. ET alone in stage II-III HR+/HER2- breast cancer. SETER/PR index quantifies transcriptional activity related to estrogen and progesterone receptors and serves as a measure of endocrine sensitivity. In CALGB 9741, low SETER/PR (< 0.75) - reflecting endocrine resistance - predicted survival benefit from adjuvant anthracycline/taxane-based treatment. In PALLAS low SETER/PR was associated with worse prognosis and early recurrence. Early recurrences driven by endocrine-resistant tumors may obscure the benefit of palbociclib by disproportionately contributing events from a more resistant population. We hypothesized that palbociclib efficacy might vary by endocrine sensitivity and prior chemotherapy regimen, with greatest benefit in patients with intermediate SETER/PR index. Methods Invasive disease-free survival (iDFS) was summarized with Kaplan-Meier plots and the treatment arms were compared with a log-rank test. Cox models estimated the hazard ratio (HR) with 95% confidence interval (95%CI) (significance level used was a two-sided 0.05). SETER/PR index was successfully obtained for 3,090 PALLAS patients (TransPALLAS ITT cohort, Metzger et al. ASCO 2024). SETER/PR index cut points (0.75 and 1.50) were proposed from previous studies comparing different adjuvant chemotherapy regimens. Results Table 1 summarizes the efficacy of adjuvant palbociclib by prior (neo)adjuvant chemotherapy regimen. Palbociclib was associated with longer iDFS in the group who received prior anthracycline-paclitaxel chemotherapy (AC-P), though the chemo regimen x palbociclib interaction term was not significant (Table 1). In the 1,132 patients from the TransPALLAS cohort who received AC-P chemotherapy, the 518 (46%) patients with intermediate SETER/PR (0.75≤ SETER/PR <1.50) had longer iDFS with palbociclib (HR 0.58; 95% CI: 0.40-0.84; p=0.004; 7-yr iDFS 80.2% vs. 68.4%), but this subset did not predict palbociclib benefit relative to all others, i.e., 206 (18%) patients with low SETER/PR (<0.75) and 408 (36%) high SETER/PR (≥1.50); P interaction=0.11. Exploratory analysis of SETER/PR index as a continuous variable in patients who received prior AC-P chemotherapy revealed a non-linear relationship with the hazard ratio favoring palbociclib observed in the subset with SETER/PR values between 1.1 and 1.8, compared to all others (P interaction=0.01). Conclusions In PALLAS, we observed a numerical benefit favoring palbociclib among pts treated with adjuvant AC-P; in this subset a moderate level of endocrine transcriptional activity (SETER/PR index between 1.1 and 1.8) predicted palbociclib benefit. These results are hypothesis-generating. Citation Format: O. Metzger, P. O'Brien, K. Ballman, M. Gnant, M. Watson, E. Chen, K. Tran, D. Hlauschek, M. Martin, J. Balko, Z. Nowecki, O. Hahn, C. Denkert, C. Curtis, F. Liu, A. Dueck, C. Fesl, E. Mayer, A. De Michele, W. Symmans. Exploratory analysis of palbociclib benefit in the PALLAS trial by SETERPR index and prior chemotherapy regimens (ABCSG-42/AFT-05/BIG-14-13) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-08-13.

Abstract Background: We have identified two potentially predictive signatures of palbociclib resistance: the RBsig, composed of E2F1/E2F2 dependent genes, which is associated with genetic loss of RB1, and the ratio between the gene expression levels of CCNE1 to RB1 (CCNE1/RB1). Both signatures have been previously analyzed in vitro and in neoadjuvant and metastatic studies with palbociclib. The present analysis aims to explore the role of RBsig and CCNE1/RB1 in the phase III adjuvant PALLAS trial, which randomized patients to palbociclib plus endocrine therapy, versus endocrine therapy alone. Materials and methods: Gene expression data from PALLAS were generated using the HTG EdgeSeq Oncology BM Panel. Of the 87 genes composing RBsig, 46 were available within the EdgeSeq dataset and were used for the analyses; CCNE1 and RB1 were both available. RBsig was calculated as the mean of the Z-score scaled gene expression (log) of the 46 genes; CCNE1/RB1 was computed as the log ratio between the mRNA expression of CCNE1 and RB1. The prognostic/predictive effect of the continuous signatures in terms of invasive disease-free survival (IDFS), distant recurrence-free survival (DRFS), and overall survival (OS) was evaluated using Cox proportional hazard models. Results: HTG data were available from 2,587 of 5,748 patients from the entire PALLAS intention-to-treat (ITT) cohort. As RBsig and CCNE1/RB1 levels are affected by pre-surgical treatments, we limited the analyses to 1612 pre-treatment samples (530 core biopsies and 1082 surgical specimens) (analysis population). Compared with the entire PALLAS ITT cohort, the analysis population was significantly enriched for patients with low clinical risk (41.3% vs 59.4%) who did not receive prior chemotherapy (17.5% vs 55.9%). In keeping with the PALLAS ITT cohort, no significant benefit from the addition of palbociclib was observed in the analysis population. Higher baseline RBsig or CCNE/RB1 values were significantly and independently associated with worse IDFS (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.3-2.0; HR 1.22, 95%CI 1.1-1.3, respectively), DRFS (HR 1.94, 95%CI 1.5-2.5; HR 1.26, 95%CI 1.1-1.4, respectively) and OS (HR 1.79, 95% CI 1.3-2.4; HR 1.26, 95%CI 1.1-1.4, respectively) in the analysis population. No predictive effect of palbociclib benefit was observed for either signature in the analysis population, nor according to clinical risk or chemotherapy receipt. Interestingly, higher RBsig was strongly prognostic in patients who did not receive adjuvant chemotherapy (HR 1.83, 95%CI 1.4-2.3) but not in those who received it (HR 1.01, 95%CI 0.6-1.6) (interaction p=0.02) suggesting a potential predictive role of RBsig for chemotherapy benefit. Conclusions: In the PALLAS trial, higher baseline RBsig or CCNE1/RB1 values are associated with worse prognosis, but are not predictive of benefit from palbociclib in the adjuvant setting. RBsig might be associated with differential benefit from chemotherapy. Further study of these biomarkers may strengthen their role in risk stratification.https://acknowledgments.alliancefound.org Citation Format: L. Malorni, D. Hlauschek, E. Mayer, M. Benelli, L. Biganzoli, I. Migliaccio, A. Kermanidis, G. Pfeiler, E. P. Mamounas, A. M. Brufsky, M. Bellet-Ezquerra, K. Clifton, G. Rubovszky, T. Foukakis, M. Goetz, S. Lee, M. Ruiz-Borrego, W. Symmans, K. V. Ballman, F. Liu, J. Machacek-Link, C. Denkert, A. DeMichele, M. Gnant. Prognostic and predictive role of RBsig and CCNE1/RB1 gene-expression signatures for patients with early breast cancer treated with endocrine therapy with or without palbociclib in the PALLAS trial (ABCSG-42, AFT-05, BIG 14-03) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-13.

Abstract Background: Microtubule inhibitors remain a standard chemotherapy in the management of HER2-negative metastatic breast cancer (MBC). CALGB (Alliance) 40502 was a phase 3 randomized study involving 799 patients with MBC receiving first-line chemotherapy, to determine the optimal chemotherapeutic agent among paclitaxel, nab-paclitaxel, or ixabepilone (with or without bevacizumab). Secondary analysis suggested inferior PFS with nab-paclitaxel specifically among patients with hormone receptor positive (HR+)/HER2-negative breast cancer. Correlative analysis demonstrated significant association of stromal tumor infiltrating lymphocytes (sTILs) with improved progression-free (PFS) and overall survival (OS) in CALGB40502. We hypothesized that immune activation would be associated with differential benefit among distinct microtubule agents. To address this, we evaluated the sTILs and RNA-based immune features association with clinical outcomes, including evaluation of nab-paclitaxel versus paclitaxel. Methods: To limit heterogeneity, analyses focused on pre-treatment primary tumor breast samples with central review/pathologist-enumerated sTILs in accordance with International TILs Working Group methods and RNAseq (n = 280). PAM50 molecular subtypes were assigned based on transcriptomic features. RNAseq data were used to generate immune deconvolution estimates from 5 distinct algorithms (CIBERSORT, xCell, ABIS, ConsensusTME, ImmuCellAI). 1,018 curated breast cancer gene expression signatures GES) were derived from previously published studies. Associations between sTILs and GES were evaluated with sTILs being a categorical variable with the thresholds <5% (low) and (≥5%) high. Results: In the evaluable population, basal-like PAM50 subtype was enriched for high sTILs category (p=1e-4), as anticipated. T-cell and B-cell immune signatures and immune deconvolution estimates were among most highly associated with sTILs. In addition to the expected prognostic association of high T-cell GES, high B-cell-related IgG signature score was also significantly associated with improved overall survival (OS) among triple-negative breast cancer (TNBC) in CALGB 40502 (HR = 0.50,95% CI:0.30-0.86, log-rank p=0.01) but not in HR+/HER2-. In an exploratory analysis of young patients (age at study entry <50 years), high sTILs were associated with improved OS among TNBC patients but worse OS among those with HR+/HER2- MBC (HR = 2.19, 95% CI:1.10-4.36, log-rank p=0.022). High (above median) RNA-based Xcell total immune score was significantly associated with worse OS in both CALGB 40502 and a validation dataset of primary breast cancers, METABRIC (OS HR = 2.12, 95% CI:1.01-4.45, log-rank p=0.042). To further investigate the clinical trial finding of inferior PFS for nab-paclitaxel compared with paclitaxel in patients with HR+/HER2- MBC, there was a significant enrichment of T-cell signatures associated with poor outcome in patients receiving nab-paclitaxel (Fisher exact p<0.001). Conclusion: In this translational analysis of sTILs and RNAseq from a large phase III clinical trial, sTILs and immune signatures were not uniformly associated with better outcome. Rather, high sTILs or immune signatures were associated with worse OS in young patients with HR+/HER2- breast cancer and higher T-cell signatures were associated with inferior PFS with nab-paclitaxel among HR+/HER2- MBC patients. These data reinforce the importance of context/subtype-specific interrogation of the tumor-immune microenvironment Support: U10CA180821, U10CA180882; https://acknowledgments.alliancefound.org. Bristol Myers Squibb (BMS); Clinicaltrials.gov Identifier: NCT00785291 Citation Format: E. K. Blige, K. V. Ballman, A. Michmerhuizen, M. Vater, L. A. Carey, A. H. Partridge, W. F. Symmans, M. A. Watson, C. M. Perou, D. G. Stover, H. S. Rugo. Rna-based immune features associated with benefit from distinct microtubule inhibitor therapy for metastatic her2-negative breast cancer: a post hoc analysis of the calgb 40502 (alliance) phase iii randomized clinical trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS1-13-17.