Lustberg, Maryam B.

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the https://www.asco.org/practice-patients/guidelines/guideline-methodology . ASCO Guidelines follow the https://www.asco.org/about-asco/legal/conflict-interest-coi . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by clinicians and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and Appendix 2 (online only) for more . PURPOSE To offer clinicians recommendations concerning breast cancer follow-up and surveillance after primary treatment. METHODS ASCO convened an Expert Panel to develop recommendations based on a systematic review and a formal consensus process. RESULTS One randomized controlled trial (RCT) was identified and formed the evidentiary basis for the surveillance mammography guideline recommendation. No RCTs were identified that evaluated different follow-up approaches by risk of relapse in patients treated for early-stage breast cancer. Given the dearth of evidence identified in the systematic review of the literature, formal modified Delphi consensus-based recommendations were generated. RECOMMENDATIONS The guideline offers recommendations on the role of a risk-based approach to the frequency and intensity of follow-up among patients with breast cancer in the adjuvant setting. Regular history, physical examination, and mammography are recommended for breast cancer follow-up. Either virtual or in-person visits can be offered. Certain patients at a high risk of cancer recurrence warrant closer surveillance, such as those patients with locally advanced disease or residual disease following neoadjuvant chemotherapy. Recommendations on the use of blood-based biomarkers and supplemental imaging are provided. Guideline recommendations will be updated once additional evidence-based tools become available to better individualize surveillance. Additional information is available at www.ascopubs.org/topics/asco-guidelines/breast-cancer .

564 Background: HER2+ ILC is rare (~5% of ILC), with limited data on long-term adjuvant trastuzumab outcomes. We investigated late recurrence and immune landscapes of HER2+ ILC vs invasive ductal carcinoma (IDC) in the phase III NCCTG N9831 trial (NCT00005970) and a real-world cohort. Methods: We evaluated 3304 early-stage HER2+ breast cancer patients (pts) enrolled in N9831 (122 ILC, 3182 IDC). Recurrence-free survival (RFS) and overall survival (OS) were estimated (Kaplan-Meier) and compared using multivariable Cox regression adjusting for age, tumor size, grade, hormone receptor (HR), and nodal status. Findings were validated in a real-world cohort of HER2+ pts (Caris Life Sciences CODEai platform). Immune microenvironments were profiled by WTS deconvolution (Quantiseq). Real-world overall survival was calculated from trastuzumab start to last contact. Results: In N9831, ILC pts were older (median 54 vs 49 y), more ER+ (74.6% vs 51.4%), and had more N3 disease (25.4% vs 12.7%) compared to IDC. ILC pts derived a comparable magnitude of benefit from adjuvant trastuzumab compared to the overall population (HR 0.58 vs 0.67). However, long-term outcomes diverged: while the 5-year RFS was similar (77.1% vs 82.7%), ILC pts experienced a steep decline between years 5-15 (77.1% to 57.7%; ~20% decline) vs IDC (82.7% to 72.7%; ~10% decline) after multivariable Cox analysis (Table). In the real-world early/advanced cohort (n=1328; 26 ILC vs 1302 non-ILC [subset IDC n=595]) treated with trastuzumab-based therapy, ILC pts had worse mOS (33.7 vs 68.6 m, HR 2.01, 95%CI 1.00-4.07, p=0.04) compared to non-ILC. However, there was no statistically significant difference when compared specifically to IDC (HR 1.77, 95% CI 0.87-3.61, p=0.11). ILC had: i) numerically lower tumor mutation burden (TMB)-high (4.2% vs 9.5%, p=0.38); ii) higher infiltration of B cells, Tregs, and M2 macrophages (p<0.05); iii) upregulated MHC class II expression (HLA-DOA, p<0.05); and iv) downregulated proliferative and DNA repair pathways (E2F, G2M, MYC; FDR <0.25) compared to non-ILC. Conclusions: HER2+ ILC carries late recurrence risk despite initial trastuzumab benefit. The unique immune landscape (Treg/M2 macrophage enrichment and lower proliferative signatures) distinguishes HER2+ ILC from IDC, highlighting the need for tailored strategies. Long-term RFS and OS in HER2-positive ILC vs IDC (N9831 trial). Population N 5-year% (95% CI) 10-year% (95% CI) 15-year% (95% CI) ILC 122 RFS 77.13% (69.9, 85.1) OS 84.04% (77.7, 90.9) RFS 70.57% (62.7, 79.4) OS 76.0% (68.7, 84.2) RFS 57.67% (44.2, 75.1) OS 65.22% (56.6, 75.2) IDC 3182 RFS 82.71% (81.4, 84.1) OS 90.18% (89.1, 91.2) RFS 77.45% (75.9, 78.9) OS 81.81% (80.4, 83.2) RFS 72.68% (70.77, 74.6) OS 76.68% (75, 78.4)

1024 Background: Invasive lobular carcinoma (ILC) is a distinct breast cancer (BC) subtype with dissemination patterns differing from invasive breast carcinoma of no special type (IBC-NST). While genomic differences between ILC and IBC-NST have been described, the extent to which molecular and immune profiles vary by metastatic organ and histology is poorly characterized. Methods: We conducted a retrospective analysis to evaluate organ- and histology-specific molecular features of metastatic BC (mBC). Patients with metastatic IBC-NST or pure ILC underwent NGS (592, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences). Tumor mutational burden (high ≥10 mut/Mb), PD-L1 expression (22C3), and immune cell fractions (RNAseq deconvolution, quanTIseq) were assessed. Analyses were restricted to sites with ≥10 biopsies per histology. Comparisons used chi-square or Mann–Whitney U tests with multiple testing correction (q < 0.05). Results: A total of 2645 mBC biopsies (605 ILC; 2040 IBC-NST) were analyzed (Table). In ILC, ERBB2 mut frequency differed by metastatic site (q<0.01), with higher prevalence in liver (32.7%) and lower in gastrointestinal (GI) lesions (3.7%). In IBC-NST, ESR1 and GATA3 mut and FGFR1 amplification were enriched in liver metastases, whereas PD-L1 expression was highest in skin (20.7%) and lowest in liver (5.0%). No organ-specific differences were observed for PIK3CA, AKT, PTEN, BRCA1/2 or RB1 . Across metastatic sites, both ILC and IBC-NST showed differences in B cells, macrophages (M1/M2), neutrophils, NK cells, dendritic cells, CD8+ T cells, and Tregs (all q < 0.05); CD4+ T-cell differences were observed only in IBC-NST (q = 0.002). In organ-specific ILC vs IBC-NST comparisons, CDH1 mut were more frequent in ILC across sites, along with higher PIK3CA mut in skin (ILC 51.3% vs IBC-NST 34.4%) and higher ERBB2 mut in liver (32.7% vs 3.3%), whereas a higher TP53 mut frequency was observed in IBC-NST in skin (28.5% vs 52.3%) and lymph nodes (LND) (23.5% vs 55.5%) (all q < 0.01). Conclusions: mBC exhibits marked organ-specific molecular and immune heterogeneity that differs by histology. These findings support histology- and site-aware interpretation of metastatic biopsies and may inform biomarker assessment and treatment decisions in advanced disease. BC-NST ILC Skin LND Bone Breast Liver Perit. CNS q-value Skin LND Bone Breast GI Liver GYN Perit. CNS q-value N (specimens) 785 401 109 361 220 15 44 - 172 84 62 56 56 54 43 37 11 - ERBB2 mut (%) 3.2 3.1 3.2 2.3 3.3 7.1 2.5 1.0 7.1 7.4 16.4 15.4 3.7 32.7 2.4 5.7 11.1 <0.01 ESR1 mut (%) 9.4 5.2 8.3 16.0 28.2 7.1 2.4 0.0 7.8 7.2 8.9 9.8 16.7 26.0 4.9 20.0 0.0 0.9 FGFR1 amp (%) 10.1 6.6 5.6 12.8 16.5 0.0 9.7 0.02 4.4 3.4 6.7 6.1 2.4 5.6 7.7 18.5 0.0 1.0 IHC-PD-L1 (%) 20.7 - 5.3 16.0 5.0 11.1 10.3 0.02 8.9 - 5.0 5.7 6.1 0.0 0.0 0.0 14.3 1.0 TMB-High (%) 10.7 10.1 8.8 8.8 8.5 14.3 21.4 0.8 27.6 11.0 19.6 28.0 11.3 19.6 9.8 32.4 22.2 0.8 Perit: peritoneum; CNS: central nervous system; GYN: genital tract.

Background/Objectives. Decades of research have failed to uncover effective approaches to prevent chemotherapy-induced peripheral neuropathy (CIPN), a common side effect of neurotoxic chemotherapy. Increased interest in placebo response as a potentially under-recognized confounder in CIPN trials was recently sparked by the results of a multisite NCI-funded phase II-III CIPN prevention study of duloxetine, a promising serotonin–norepinephrine reuptake inhibitor that enhances pain-inhibitory mechanisms within the central nervous system. Study findings revealed high and nearly equivalent response rates in three randomized treatment groups—little to no CIPN was reported by 65.2%, 66.0%, and 68.0% of study participants who received duloxetine 30 mg, 60 mg, or placebo treatment, respectively. Methods. We performed a meta-analysis of placebo response rates from seven randomized, double-blinded, placebo-controlled trials conducted over the past 20 years and comprising 191 placebo participants that were specifically testing interventions for oxaliplatin- and paclitaxel-induced peripheral neuropathy and that serially collected patient responses on the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire for Chemotherapy-Induced Neuropathy questionnaire. Additionally, we sought to identify trial- and patient-specific factors that predicted higher placebo response rates from a participant-level pooled analysis. Results. The placebo response rate was 10.0% [95% CI: 5.8%, 16.6%] when response was defined more conservatively as patients reporting no neuropathy at all. When the placebo response was defined more broadly based on patients reporting no or a little neuropathy, the placebo response rate was higher (39.6% [95% CI: 27.4%, 53.2%]). Male participants, receipt of oxaliplatin, and a 2:1 randomization ratio favoring the intervention arm were individually associated with a higher placebo response. Conclusions. High placebo response rates can threaten scientific progress toward identifying effective treatments for cancer treatment-associated side effects, like CIPN. Careful attention to study design factors, participant eligibility, and patient and research staff expectations may help to minimize placebo response rates in future CIPN intervention studies.

Background: Premedications used to prevent paclitaxel-associated infusion hypersensitivity reactions (iHSRs) can cause undesirable toxicities, such as sleep disturbance and weight gain. Although phase II data suggest that discontinuing premedications after paclitaxel-associated iHSRs may be safe and feasible in select patients without prior iHSRs, no prospective randomized trials have evaluated this approach. Patients and Methods: This randomized clinical trial enrolled patients with breast cancer receiving paclitaxel chemotherapy. Those who experienced no iHSRs with the first 2 doses of paclitaxel were randomized to either continue standard premedications (control arm) or to discontinue all premedications (investigational arm). Both arms were followed longitudinally for any subsequent iHSRs requiring parenteral rescue medications. Additionally, changes in weight, drug-related side effects, and quality of life were assessed. Results: A total of 98 patients were randomized; 89 were evaluable (46 in the control arm and 43 in the investigational arm). Only 1 (2.3%) patient in the investigational arm experienced an iHSR, which resolved with rescue medications. No iHSRs occurred in the control arm. The estimated proportion of subjects who experienced a hypersensitivity reaction (exact binomial 95% CI) was 2.3% (95% CI, 0.1%–12.3%) in the investigational arm and 0.0% (95% CI, 0.0%–7.7%) in the control arm. Patients in the investigational arm reported significantly less sleep disruption (0.5 vs 1.7; P =.002) and unwanted appetite increases (1.0 vs 2.5; P =.0018). Conclusions: Discontinuation of premedications after 2 uneventful paclitaxel doses was not associated with a high rate of subsequent iHSRs and resulted in fewer steroid-related side effects. This strategy may reduce unnecessary medication exposure, improve patient experience, and streamline clinical workflows. For patients who do not experience iHSRs during the first 2 paclitaxel treatments, discontinuing premedications appears safe and may improve tolerability.

Abstract Background: MHC class II molecules are normally restricted to professional antigen-presenting cells. Prior TNBC studies have focused on immune-compartment MHC-II. Using spatial transcriptomics, we recently identified aberrant tumor-cell MHC-II expression. Here, we characterized the immune architecture surrounding HLA-DRA-expressing tumor cells. Methods: High-plex single-cell spatial transcriptomics (CosMxTM SMI) was performed on treatment-naïve TNBC (Mayo TMA, n=65) and two neoadjuvant pembrolizumab cohorts (Mayo n=8; Emory n=4). Spatial neighborhoods were mapped relative to HLA-DRA-high tumor cells. Differential expression and adaptive immune gene-set scores were evaluated. Clinical relevance was assessed using FinXX (n=114), I-SPY2 (n=364), and Caris CODEai (n=3,662). Results: HLA-DRA-high tumor regions showed significant enrichment of adaptive immune subsets within ≤50 μm, including B cells, CD8+ T cells, NK cells, macrophages, and plasmacytoid dendritic cells. In pembrolizumab-treated cohorts, responders exhibited higher proportions of HLA-DRA-high tumor cells and greater numbers of B cells, plasmablasts, CD4+ and CD8+ T cells, and macrophages near tumor cells. Responders’ tumors showed upregulation of antigen-presentation machinery, B-cell/plasma-cell programs, CXCL13, and NOTCH3/DLL1. Across I-SPY2 and FinXX, higher HLA-DRA correlated with pathologic complete response and improved survival. In CODEai TNBC, high HLA-DRA expression correlated with higher CXCL13 (median TPM 7.5 vs. 1.1, q&lt;0.05) and longer overall survival (24.2 vs. 18.5 months, HR 0.77, 95% CI 0.71-0.83, p&lt;0.0001). This association was TNBC-specific. High CXCL13 also predicted improved survival (26.6 vs. 16.5 months, HR 0.64, 95% CI 0.59-0.69, p&lt;0.0001). Conclusions: Tumor-cell HLA-DRA expression defines a highly organized adaptive immune niche enriched with B cells and activated T-cell populations in close proximity. Adaptive immune programs—including enhanced antigen presentation and CXCL13-mediated B-cell/plasma-cell pathways—consistently associate with improved outcomes across TNBC cohorts treated with chemotherapy and immune checkpoint blockade. Aberrant tumor-cell MHC-II expression may contribute to antitumor immunity and warrants further investigation as a potential therapeutic target. Citation Format: Yi Liu, Sachin Kumar Deshmukh, Thiti Susiriwatananont, Panuch Eiamprapaporn, Bogang Wu, Heikki Joensuu, Roberto A. Leon-Ferre, David Zahrieh, Judy C. Boughey, James Newell Ingle, Fergus J. Couch, Sharon Wu, Shipra Gandhi, Maryam Lustberg, George W. Sledge, Matthew P. Goetz, Keith L. Knutson, E Aubrey Thompson, Jodi Carter, Saranya Chumsri. Spatially resolved tumor-cell MHC class II shapes adaptive immunity and therapeutic response in triple-negative breast cancer [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 1200.

PURPOSE The primary objective of this randomized, double-blind, placebo-controlled, multicenter phase II study (Alliance A221805) was to screen two doses of duloxetine for preventing sensory oxaliplatin-induced peripheral neuropathy (OIPN). METHODS Participants were randomly assigned 1:1:1 to receive once daily 30 mg duloxetine, 60 mg duloxetine, or placebo. Eligible participants had stage II to III colorectal cancer and no baseline neuropathy, had Eastern Cooperative Oncology Group performance status 0-2, were age 25 years and older, and received oxaliplatin via one of the following doses and schedules: 85 mg/m 2 every 2 weeks (6 or 12 doses) or 130 mg/m 2 every 3 weeks (4 doses). Duloxetine/placebo was taken once daily beginning day 1 of cycle 1 and continued for 17 weeks. The primary end point, a composite response reflecting sensory OIPN symptom severity and onset, was measured in weeks 19-21 using a validated participant-reported outcome survey assessing extremity numbness, tingling, and pain. Response was defined as a participant-reported highest score of ≤2 (ie, 1 = not at all; 2 = a little) on survey items. To be evaluable for the response end point, eligible participants must have initiated oxaliplatin and submitted ≥1 postbaseline OIPN survey. RESULTS Of the 199 participants (n = 66, 30 mg duloxetine; n = 66, 60 mg duloxetine; n = 67, placebo), 46, 47, and 50 (N = 143, 71.8%), respectively, were evaluable for primary end point analysis based on modified intention-to-treat criteria. Participant mean age was 55.1 years (standard deviation = 10.4). Most were White (n = 113, 80.7%) and male (n = 82, 58.6%). The proportion of responders among those receiving placebo (68.0%) was similar to those receiving duloxetine 30 mg (65.2%) or 60 mg (66.0%). Duloxetine adherence rates, measured via pill counts—30 mg (54%), 60 mg (57%), and placebo (59%) groups—were low (<75%). CONCLUSION Duloxetine is not more promising than placebo for preventing sensory OIPN.

Abstract Background: Triple-negative breast cancer (TNBC) is highly aggressive subtype with poor prognosis and there is an urgent need to develop novel therapies. Deregulated cellular energetics is a known hallmark of cancer. Stearoyl-CoA desaturase-1 (SCD1), is a key enzyme in fatty acid (FA) synthesis, converting saturated to monounsaturated FA. It is upregulated in TNBC, and its expression correlates with poor survival. Hence, targeting SCD1 is a novel strategy for cancer therapy. We have developed an SCD1 inhibitor, MTI-301 and shown anti-tumor activity in murine TNBC cell lines with MTI-301 alone and in combination with paclitaxel. Here, we study the efficacy of MTI-301 in TNBC mouse model and, molecular and immunological association of SCD1 in TNBC. Methods: MTI-301 activity (10 mg/kg oral gavage daily) was evaluated in E0771 immunocompetent TNBC mouse models alone and with immune checkpoint inhibitors (ICI) and paclitaxel (anti-PD-L1 Ab 200ug/mouse; IP and 25 mg/kg IP both given 2/week). Immune markers such as CD4+ T cell and CD8+ T cell in mice tumor tissue were assessed by immunohistochemistry (IHC). Tumor volume was measured by calipers 2/week and compared between groups by ANOVA test. Molecular and immune characterization was performed in 1,581 invasive ductal (ID) TNBC patient (pt) samples tested by NGS (592-gene panel, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences, Phoenix, AZ). ID-TNBC SCD1-high(H) and SCD1-low(L) RNA expression were classified as above or below the 50 percentiles, respectively. Immune cell fractions were calculated by deconvolution of WTS: Quantiseq. Pathway enrichment was determined by GSEA (Broad Inst). Statistical significance was determined using chi-square and Mann-Whitney U test with p-values adjusted for multiple comparisons (q&lt;0.05). Results: Compared to vehicle control, MTI-301 showed significant reduction in mean tumor volume and was associated with macrophage phagocytosis and intratumor infiltration of CD4 and CD8 T cells. We have also showed that MTI-301 + anti-PD1 Ab + paclitaxel has significant antitumor activity compared to either agent alone. IHC analysis is ongoing. In real-word pt data, SCD1-H TNBC (N=791) had higher immune cell infiltration of M2 MΦ (2.95% vs. 2.58%) and neutrophils (4.5% vs. 4.1%) compared to SCD1-L (N=790), all q&lt;0.05. SCD1-H had decreased IFNγ score (-0.29 vs -0.24), but increased MAPK activation score (-0.57 vs -1.77), all q&lt;0.05. SCD1-H had higher levels of metabolic regulator genes (IL10, IL10RA, SOCS3, HIF1A, DUSP6, FC: 1.4-1.8), immune checkpoint genes (PDCD1, CTLA4, LAG3, TIGIT, VISTA, CD244, CD160, BTLA, HAVCR2, FC: 1.3-1.6), stem cell related genes (CD44, ALDH1A1, ALDH1A2, ALDH1A3, KLF4, NANOG, FC: 1.4-1.6) and markers of exhausted T cells (CXCL13, CD38, CD101, ENTPD1, CD69, CD103, KLRG1, PRF1, GZMB, FC: 1.2-1.7), all q&lt;0.05. SCD1-H had enrichment of pathways related to oxidative phosphorylation, FA metabolism, PI3K/AKT/MTOR, EMT, DNA repair, TGF beta, P53 and inflammatory response (NES: 1.7-3.8, all FDR&lt;0.25). SCD1-H had higher frequency of PIK3CA (18.1% vs 8.8%), PTEN (10.7% vs 5.2%), PIK3R1 (6.4% vs 2.3%), AKT1 (3.3% vs 1.3%) and NF1 (8.3% vs 2.7%) mutation compared to SCD1-L, all q&lt;0.05. Conclusion: SCD1 high TNBC tumors are associated with immune suppressive TME, FA metabolism, and dysregulated PI3K pathway, positioning SCD1 as a metabolic driver of therapy resistance and immune evasion and support its targeting to enhance chemo-ICI efficacy. SCD1 inhibitor, MTI-301 significantly reduced tumor growth and enhanced effector immune cell infiltration in TNBC murine models with combinatorial activity with chemo-ICI, indicating that pharmacologic modulation of SCD1 is a promising strategy for cancer therapy. We will be conducting Phase I clinical trial with MTI-301 in pts with advanced tumors including TNBC (NCT NCT06911008). Citation Format: P. P. Advani, S. K. Deshmukh, R. Whetten, M. Redig, M. Pawlush, S. Wu, J. Xiu, J. P. Leone, S. Gandhi, M. Lustberg, G. Sledge Jr, J. Copland. Metabolic and immune reprogramming via SCD1 inhibition enhances chemo-immunotherapy response in TNBC [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 PS2-12-07.

Abstract Background: Hispanic/Latinx (HL) and African American (AA) breast cancer (BC) patients (pts) have increased prevalence of high-risk features such as incidence of BC at age &lt;50 and estrogen receptor negativity. We previously showed that AA and HL had a lower fraction of neutrophils and M2 macrophages (Mɸ) despite higher percentage of PD-L1 positive cases. This study aims to further characterize differences in the tumor immune microenvironment between racial and ethnic groups, with a focus on how these differences vary by site of biopsy. Methods: We analyzed 19,459 BC samples tested by NGS (592, NextSeq; WES, NovaSeq) and WTS (NovaSeq; Caris Life Sciences). Race/ethnicity data were self-reported by pts. Immune cell proportions were estimated using WTS deconvolution (Quantiseq). Gene expression was analyzed for T-cell inflammed score (TIS), MAPK Activation Score (MPAS) and interferon-gamma (IFNy) score. Real-world overall survival (OS) data were derived from insurance claims, calculated from tissue collection or treatment initiation to last contact, and analyzed using Kaplan-Meier. Statistical significance was assessed by chi-square and Mann-Whitney U test with p-values adjusted for multiple comparisons (q&lt;0.05). Results: There were 9674 Non-Hispanic Whites (NHW) (primary BC, defined as biopsy (bx) from breast) pBC: n=3,537, 36.6%; (metastatic BC, defined as biopsy outside of the breast) mBC: n=6,137 63.4%, 1800 AA (pBC: n=750, 42%, mBC: n=1,050, 58%), and 1795 HL (pBC: n=842, 47%; mBC n=953, 53%) samples. There were 2364 TNBC (66% NHW, 19% NHB, 15% HL), 4318 HR+/HER2- (76% NHW, 11.6% NHB, 12.4% HL), and 893 HER2+ (68% NHW, 15% NHB, 17% HL). In pBC overall, AA had lower median cell fraction (%) of B cells (4.8% vs 5.3%), M2 Mɸ (3.4% vs 4.4%), but higher median cell fraction of dendritic cells (DC) (2.8% vs 2.6%) compared to NHW while HL had lower median cell fraction of M2 Mɸ (3.9% vs 4.4%) and higher median cell fraction of CD8+ T cell (0.4% vs 0.2%), all q&lt;0.05. In pBC, HL had higher IFNy score (-0.3 vs -0.34), while AA had lower MPAS (-1.2 vs -0.96), all q&lt;0.05. In lymph node bx, AA had lower median % of M2 Mɸ (3.4% vs 4.4%, q&lt;0.05). No significant differences were seen in the liver bx by race but notably there were lower median cell fractions of CD4+, CD8+, and regulatory T cells (0.0 across NHW, AA, HL) across all race/ethnicities vs. other biopsy sites. By subtype, TNBC primary bx yielded much of the significant changes with AA having lower median cell fraction of M2 Mɸ (2.49% vs 3.04%, q= 0.01) compared to NHW. In primary bx, AA (35.6 m vs 48.5 m, HR 1.4, 95% CI 1.2-1.5, p&lt;0.001) and HL (42.4 m vs 48.5 m, HR 1.2, 95% CI 1.1-1.4, p&lt;0.001) had worse median OS versus NHW. In lymph node bx, AA also had worse OS (29.2 m vs 37.2 m, HR 1.2, 95% CI 1-1.5, p=0.03) compared to NHW. In liver bx, there was worse mOS overall but no difference by race (NHW 18.65m, AA 18.79m, HL 20.6m, p =0.73). In HR+/HER2- liver bx AA had worse OS (14.2 m vs 20.9 m, HR 1.3, 95% CI 1-1.7, p=0.03) versus NHW. In HER2+ primary bx, HL had worse OS (43.2m vs 66.9m, HR 1.7, 95% CI 1.1-2.6, p=0.009). There was a trend towards worse mOS in TNBC AA patients receiving pembrolizumab (18.42m vs HL 23.69m vs NHW 35.30m; p=0.16) and HER2+ AA patients receiving trastuzumab deruxtecan (AA: 16.06m vs HL: 26.81m vs NHW: not reached; p = 0.05). Conclusions: We found race and biopsy site specific differences in the breast cancer immune microenvironment. AA pts had lower M2 Mɸ in primary and lymph node bx while NHW pts showed higher CD8+ T cell in primary tumors. Liver biopsies exhibited low T cell infiltration across all groups. AA pts had worse mOS in primary and lymph node bx compared to NHW but not in liver bx of which we saw worse mOS in all races. These results highlight the need to consider both race and bx site in treatment decisions. Citation Format: R. Hsu, S. Deshmukh, N. Gyabaah-Kessie, E. Rallos, B. Al-Zubeidy, E. Gonzalez, A. G. Baugh, S. Carrel, M. Li, D. Zavala, A. Martynova, P. Jayachandran, D. Stewart, D. Spicer, S. Wu, J. Xiu, G. W. Sledge Jr., R. L. Mahtani, A. C. Sandoval Leon, S. Gandhi, S. Chumsri, M. Lustberg, M. C. Stern, E. T. Roussos Torres. Immune microenvironment and survival differences among Hispanic and African American breast cancer cases by biopsy site [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 PS3-12-06.

Abstract Background: Invasive lobular carcinoma (ILC) is the second most common breast cancer (BC) subtype, accounting for up to 15% of cases. Although several biologic differences between ILC and invasive carcinoma of no special type (NST) have been described, most data are derived from primary tumors. In contrast, the biology of metastatic ILC remains poorly defined. This study aimed to investigate the unique genomic, transcriptomic, and immune landscapes of metastatic ILC using a multi-omic approach. Methods: This real-world study included patients with confirmed NST or pure ILC who had a biopsy of a metastatic lesion or a breast lesion in the setting of known metastatic disease. Tumors underwent whole exome sequencing (NGS 592, NextSeq; WES, NovaSeq), whole transcriptome sequencing (WTS, NovaSeq) (Caris Life Sciences, Phoenix, AZ). Demographic and baseline molecular features were compared across histologic subtypes. Tumor mutational burden (TMB; high ≥10 mut/MB) was assessed by NGS. Immune cell populations were estimated by RNAseq deconvolution (quanTIseq). Pathway enrichment analysis was determined by GSEA. Overall survival (OS) was defined from the date of biopsy to death from any cause using Kaplan-Meier estimates. Statistical tests included chi-square and Mann-Whitney U with multiple testing correction (q&lt;0.05). Results: Among 2,651 metastatic BC samples (ILC n = 608; NST n = 2,043), patients with ILC were older (median 67 vs 63 yrs) and more likely white (81.5% ILC vs 73.1% NST), all p&lt;0.05. By IHC, ILC were more frequently HR+/HER2- (83.6% vs 55.9%), less commonly triple-negative (11.9% vs 29.8%) or HER2+ (4.6% vs 14.3%), all p&lt;0.05. PAM50 subtypes differed between ILC and NST: luminal A (Lum A) (31.1% vs 13.7%) and luminal B (Lum B) (44.9% vs 43.8%) intrinsic subtypes were enriched in ILC, while NST was more frequently basal (1.2% vs 22.4%) and HER2-enriched (19.8% vs 22.2%), all p&lt;0.05. Within luminal BC, Lum B was more common than Lum A in both histologies, but Lum A was proportionally more frequent in ILC (ILC: 40.3% Lum A vs 59.7% Lum B; NST: 23.4% Lum A vs 76.6% Lum B), p&lt;0.0001. Comparative multi-omic analysis focused on the 922 HR+/HER2- tumors (ILC n = 275; NST n = 647). Compared to NST, ILC had higher frequency of CDH1 (87.3% vs 6.1%), PIK3CA (52.7% vs 38.5%), FOXA1 (9.0% vs 3.4%), ERBB2 (7.1% vs 2.0%), ARID1A, and NF1 (both q &lt; 0.05) mutations and TMB high (17.7% vs 9.9%), but lower frequency of TP53 (15.7% vs 33.3%), ESR1 (10.9% vs 18.1%) and GATA3 (2.3% vs 14.9%) mutations along with FGFR1 amplifications (15.3% vs 6.7%), all q&lt;0.05. ILC had higher expression of androgen receptor (91.2% vs 83.5%, q&lt;0.05) and higher MAPK activation score (-0.81 vs -1.19, q&lt;0.05), consistent with a luminal, hormone-driven phenotype. NST tumors demonstrated enrichment of pathways involved in the cell cycle and metabolic activity, including E2F targets, G2M checkpoint, MYC targets, mTORC1 signaling, glycolysis, and unfolded protein response (NES: 1.5-2.7, FDR&lt;0.25). ILC tumors had higher infiltration of B cells, dendritic cells, neutrophils, NK cells and M2 macrophages, but lower M1 macrophages, all q&lt;0.05. ILC had differential expression of immune checkpoint genes (upregulation: CD274 (PD-L1), PDCD1 (PD-1), TNFSF14, CEACAM1, CD160, fold change (FC): 1.2-1.5; down: HAVCR2 (TIM-3): FC: 1.2), all q&lt;0.05. Median OS (mOS) was similar between luminal ILC and NST (33.8 vs 35.4 months (mo); HR 1.0, 95% CI 0.91-1.3). No mOS difference was seen between Lum A ILC and NST (47.4 vs 50.5 mo; HR 1.0, 0.84-1.43), while Lum B ILC had worse mOS than NST (27.4 vs 35.3 mo; HR 1.3, 1.1-1.6). Conclusions: This study represents the largest cohort to date with multi-omic characterization of metastatic ILC, revealing distinct genomic, transcriptomic, and immune features compared to NST. These findings highlight the unique biology of ILC and may inform future subtype-specific therapeutic strategies. Citation Format: G. Nader-Marta, S. Kumar Deshmukh, K. Fanucci, P. Tarantino, S. Schnitt, A. Lee, S. Oesterreich, S. Wu, J. Xiu, P. Advani, M. Lustberg, N. Lin, S. Tolaney, E. Mayer, O. Metzger, G. Sledge Jr., R. Jeselsohn. The Genomic, Transcriptomic, and Immune Hallmarks of Metastatic Lobular Breast Cancer [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 PD9-07.