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Goetz, Matthew P.

https://orcid.org/0000-0002-4383-270X

Mayo Clinic

Mayo Clinic

Citations 339

Abstract 6715: Safety, tolerability, and early immune responses in the safety run-in of an HER2 multi-epitope vaccine combined with T-DM1 in residual HER2-positive breast cancer
Chumsri, Saranya , Giri, Sharmila, Ness, Andy J., Norton, Nadine , Cogen, Davitte , Necela, Brian M. , Northfelt, Donald W. , Advani, Pooja , Rao, R., Mareno-Aspitia, Alvaro, Ruddy, Kathryn J., Knutson, Keith L. , Norton, Nadine , Hillman, David W. , Nassar, Aziza , Ernst, Brenda , Ruddy, Kathryn J. , Goetz, Matthew P. , Knutson, Keith L.

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 6715-6715

10.1158/1538-7445.am2026-6715 Get It

Abstract Background: Patients with residual invasive disease after neoadjuvant chemotherapy (NAC) for HER2-positive breast cancer remain at high risk for recurrence even with standard adjuvant trastuzumab emtansine (T-DM1). H2NVAC, a multi-epitope HER2 peptide vaccine, has previously demonstrated the ability to elicit robust and durable immune responses. Here, we assessed the safety and early immunogenicity of H2NVAC in combination with T-DM1 in this high-risk population. Methods: Patients with stage II-III HER2-positive breast cancer and residual invasive disease following NAC and HER2-directed therapy received standard adjuvant T-DM1 alongside six priming doses of H2NVAC administered every 3 weeks. The primary endpoint was the occurrence of dose-limiting toxicity (DLT) within 21 days of the first vaccination, with adverse events graded per CTCAE v5.0. Immunogenicity assessments included HER2-specific T-cell responses measured by IFNγ ELISpot and HER-specific serum antibodies measured by ELISA at baseline and 30 days after the sixth priming dose. Results: 20 patients were enrolled. H2NVAC plus T-DM1 was well tolerated with no DLTs observed. All treatment-emergent AEs were grade 1-2, with fatigue (grade 1 60%, grade 2 5%), peripheral sensory neuropathy (grade 1 35%, grade 2 10%), elevated alkaline phosphatase (grade 1 40%), nausea (grade 1 35%, grade 2 5%), arthralgia (grade 1 30%), and injection-site reactions (grade 1 50%) being most common. Robust vaccine-specific T-cell responses by ELISpot were observed in 94% of evaluable patients, who mounted HER2-specific T-cell responses at 30 days after the sixth priming dose, with a mean 197-fold increase over baseline. Further CYTOF analysis showed a significant decrease in exhausted T-cell phenotypes, with reduced LAG3 and TIM3 expression on both CD4+ and CD8+ T cells. For antibody responses by ELISA, 26% of patients developed HER2 protein-specific antibody responses at this time point. There was no significant increase in antibodies to H2NVAC peptides or to unrelated tumor antigens (p53, IGFBP2, TERT, myoglobin) at 30 days after the sixth vaccine. Ongoing correlative analyses will assess the evolution of immune responses at later time points following completion of T-DM1 therapy. Conclusions: Concurrent administration of H2NVAC with T-DM1 was safe and did not increase toxicity beyond single-agent T-DM1. To our knowledge, this is the first study to demonstrate that a cancer vaccine can be delivered concurrently with an antibody-drug conjugate without increasing adverse effects while still eliciting robust T-cell responses. Ongoing analyses will further define the kinetics and durability of vaccine-induced antibody and T-cell responses at later time points, as well as evaluate the efficacy of H2NVAC in reducing recurrence risk in the randomized phase 2 trial. Citation Format: Saranya Chumsri, Sharmila Giri, Andy J. Ness, David W. Hillman, Nadine Norton, Davitte Cogen, Brian M. Necela, Aziza Nassar, Donald W. Northfelt, Pooja Advani, Rohit Rao, Alvaro Mareno-Aspitia, Brenda Ernst, Kathryn J. Ruddy, Matthew P. Goetz, Keith L. Knutson. Safety, tolerability, and early immune responses in the safety run-in of an HER2 multi-epitope vaccine combined with T-DM1 in residual HER2-positive 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 6715.
Abstract 2756: Development of an LLM framework for analysis of heterogeneous breast cancer patients genomic reports.
Kalari, K. R., Boyapati, Thanmayee , Myla, Sumathilatha, Penheiter, Sumedha G., Weinshilboum, R., Wang, Liewei , Giridhar, Karthik Vikram, Goetz, Matthew P., Kalari, Krishna R. , Tang, Xiaojia , Hoskin, Tanya L. , Tizhoosh, Hamid R. , Goetz, Matthew P. , Boughey, Judy C.

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 2756-2756

10.1158/1538-7445.am2026-2756 Get It

Abstract Background: The increasing volume and diversity of clinical genomic reports pose a significant challenge across healthcare institutions for the interpretation and proper implementation of precision oncology research. Reports from multiple different vendors (e.g., Invitae, Ambry Genetics, Foundation Medicine) are typically PDFs and exhibit substantial heterogeneity in panel design, gene coverage, and reporting standards, which hinders efficient retrospective data mining and patient cohort identification within the electronic medical records. We sought to develop a framework to interrogate all of these reports. Methods: We extracted genomic reports from patients with breast cancer treated with neoadjuvant chemotherapy and developed MolHarmonizer, a novel, scalable framework leveraging Python and Gemini LLMs, designed to process and harmonize genomic data from disparate multi-vendor reports. Gemini LLMs are employed explicitly for robust information extraction, normalization, and structuring of key genomic features, transforming unstructured data into a unified, queryable dataset. Results: Our MolHarmonizer framework successfully processed 1,147 genomic reports from 1703 breast cancer patients (2006-2023) from 23 different companies, demonstrating robust capability to extract and standardize critical actionable biomarkers. Data sources included Invitae (n=554), Ambry Genetics (n=189), Natera (n=95), Mayo Clinic (n=88), Tempus (n=63), Guardant Health (n=47), and Foundation Medicine (n=37), with others contributing less than 20 reports. Of the samples, 827/1147 (72.1%) were germline (blood/saliva). A majority of the patients were tested using the panels due to a personal/family history (n=925). Overall, 413/1147 (36.0%) reports identified at least one mutation. For breast cancer, 75 reports showed BRCA1/2 mutations (37 BRCA1, 37 BRCA2, and one patient with both BRCA1 and 2). Other mutations identified included: PIK3CA (n=40), TP53 (n=96), PTEN (n=21), ESR1 (n=13) and AKT1/2 (n=8). Conclusion: MolHarmonizer, a powerful framework leveraging Gemini LLMs, effectively addresses genomic data heterogeneity by automating biomarker extraction and harmonization. This enables rapid cohort identification and deep retrospective analyses for clinical insights, biomarker discovery, understanding disease history, facilitating novel pattern discovery, e.g., predicting BRCA1 mutations from WSI, and accelerating research within our neoadjuvant BC cohort. Future plans include expanding to include over 20,000 breast cancer patients, developing a user-friendly chatbot, and ensuring inter-institutional adaptability for a variety of complex diseases. Citation Format: Krishna Rani Kalari, Xiaojia Tang, Thanmayee Boyapati, Tanya L. Hoskin, Sumathilatha Myla, Sumedha G. Penheiter, Richard M. Weinshilboum, Liewei Wang, Hamid R. Tizhoosh, Karthik Vikram Giridhar, Matthew P. Goetz, Judy C. Boughey. Development of an LLM framework for analysis of heterogeneous breast cancer patients genomic reports [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 2756.
Abstract 1401: A novel statistical framework for surrogate endpoint prediction of survival in neoadjuvant breast cancer trials.
Santos-Parker, Keli S. , Santos-Parker, Jessica R, Esserman, Laura J., DeMichele, Angie, Veer, Laura Van't, Yee, Doug, Reyal, Fabien, Earl, Helena , Cameron, D. , Hall, Peter, Boughey, Judy, Goetz, Matthew, Sonke, Gabe, Martín, Miguel, López-Tarruella, Sara, Sharma, Priyanka, Freiberg, Rachel, Perlmutter, J, Bardia, Aditya, Eklund, Martin, Pusztai, Lajos, Santos‐Parker, Jessica R. , Symmans, W. Fraser , Esserman, Laura J. , Yau, Christina , Yee, Douglas , Reyal, Fabien , Abraham, Jean , Cameron, David, Goetz, Matthew P. , Martín, Miguel , López‐Tarruella, Sara , Sharma, Priyanka , Bardia, Aditya , Pusztai, Lajos

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 1401-1401

10.1158/1538-7445.am2026-1401 Get It

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 1200: Spatially resolved tumor-cell MHC class II shapes adaptive immunity and therapeutic response in triple-negative breast cancer.
Deshmukh, Sachin Kumar, Susiriwatananont, Thiti , Eiamprapaporn, Panuch , Wu, Bogang , JOENSUU, H, Leon-Ferre, Roberto A, Zahrieh, D. M., Boughey, JC , Ingle, James Newell, Couch, FJ, Wu, Sharon, Sledge, G. W., Goetz, M. P., Knutson, KL, Thompson, E Aubrey, Chumsri, Saranya , Liu, Yi , Deshmukh, Sachin Kumar , Leon‐Ferre, Roberto A. , Zahrieh, David , Gandhi, Shipra , Lustberg, Maryam B. , Goetz, Matthew P. , Knutson, Keith L. , Thompson, E. Aubrey , Carter, Jodi M.

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 1200-1200

10.1158/1538-7445.am2026-1200 Get It

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<0.05) and longer overall survival (24.2 vs. 18.5 months, HR 0.77, 95% CI 0.71-0.83, p<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<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.
Abstract 443: LMTK2: A novel driver of endocrine resistance in ERα+ breast cancer.
Detry, A. M., Marigliano, S., Heinen, Jenna E., Bass, Adam D. , Jones, C., Goetz, Matthew, Hawse, John R., Detry, Anna, Jones, Calley J., Muthyala, Rajeev S. , Goetz, Matthew P.

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 443-443

10.1158/1538-7445.am2026-443 Get It

Abstract Breast cancer is the most common female malignancy in the U.S. and the leading cause of cancer-related deaths in women worldwide. Nearly 80% of breast tumors express estrogen receptor alpha (ERα) which drives tumor progression. While endocrine therapies and CDK4/6 inhibitors have increased overall survival, many patients experience recurrence of metastatic disease that is largely refractory to additional lines of endocrine therapy. Metastatic disease remains incurable, highlighting the need for alternative treatment approaches. Through a genome-wide CRISPR knockout screen, we identified Lemur Tail Kinase 2 (LMTK2) as the top hit exhibiting synthetic lethality in the presence of the endocrine therapy, endoxifen, in both endocrine-sensitive and -resistant cell line models. Using publicly available patient tumor databases we identified LMTK2 copy number gain/amplification in 67% of ERα+ human metastatic breast tumors, while only 1% of primary tumors harbored these genomic alterations. Elevated LMTK2 expression in early-stage primary breast tumors was associated with worse recurrence-free survival and overall survival. We discovered that LMTK2 mRNA and protein levels were substantially elevated in nearly all cell-line and patient-derived models of endocrine and CDK4/6i resistance. Utilizing siRNAs and dox-inducible shRNA expressing cell lines, we found that knockdown of LMTK2 enhanced the efficacy of multiple endocrine therapies in treatment naïve models and resensitized resistant models to their respective treatment. LMTK2 overexpression was found to be sufficient for conferring resistance to all standard of care therapies tested including endocrine agents, CDK4/6i, and PI3K inhibitors. RNAseq and global proteomics of LMTK2 overexpressing and knockout models revealed the PI3K/AKT pathway and estrogen signaling as highly regulated pathways by LMTK2. Confirmatory western blot studies demonstrated that LMTK2 overexpression results in dramatic increases in AKT and ERα phosphorylation and activity, while knockout of LMTK2 diminishes these effects. Attempts to completely ablate LMTK2 in endocrine/CDK4/6i-resistant models via CRISPR were not successful, and continuous siRNA or shRNA-mediated knockdown was lethal in resistant cell lines, confirming its essentiality in this setting. In summary we have uncovered LMTK2 as a novel mediator of endocrine/CDK4/6i resistance that is mechanistically linked to the PI3K/AKT pathway among others. Genetic manipulation of LMTK2 has validated it as an ideal therapeutic target for both advanced and newly diagnosed forms of ERα+ breast cancer. Citation Format: Anna Detry, Sofia Marigliano, Jenna Heinen, Adam Bass, Calley Jones, Rajeev Muthyala, Matthew Goetz, John Hawse. LMTK2: A novel driver of endocrine resistance in ERα+ 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 443.
Abstract PS5-05-09: Treatment Persistence and Dose Modifications in US Patients with HR+, HER2-, Node-Positive, Early Breast Cancer Treated with Adjuvant Abemaciclib
Soliman, H., Dent, S., Liepa, A., Stefaniak, Victoria Jennifer, Huang, M., Sugihara, Tomoko, Moreira, Kíria Karolline Gomes , Hudson, Kathryn Elizabeth , Goetz, M. P., Dent, Susan , Liepa, AM, Moreira, K., Goetz, Matthew P.

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS5-05-09-PS5-05-09

10.1158/1557-3265.sabcs25-ps5-05-09 Get It

Abstract Background: Two years of adjuvant abemaciclib plus endocrine therapy is approved and guideline-recommended in patients (pts) with HR+, HER2-, node-positive, early breast cancer (EBC) at high risk of recurrence. In initial real-world studies, the high rate (>85%) of treatment (tx) persistence beyond 3 months suggests that adjuvant abemaciclib is well-tolerated in routine clinical practice.1,2 Dose reductions were associated with higher persistence in prior studies and clinical trial data have shown that efficacy of abemaciclib was maintained with dose reductions. This study describes 6-month tx persistence and dosing patterns in pts with HR+, HER2-, node-positive EBC initiating abemaciclib 150 mg twice daily (BID). Methods: Retrospective data were accessed from the US de-identified Flatiron Health Research Database. Adults with HR+, HER2-, node-positive, EBC, who initiated abemaciclib 150 mg BID from Jan 2022-Jun 2024 were eligible and further characterized by ≥1 vs no dose reduction. Data cut-off was Dec 2024. Persistence rate was the proportion of pts on abemaciclib >6 months, allowing for ≤60-day medication gap within this period. Time to dose modifications and reasons for discontinuation (DC) were summarized. Subgroup analyses were conducted in pts confirmed as meeting the monarchE high-risk criteria (N2, N3, or N1 plus Grade 3 and/or tumor >5 cm). All analyses were descriptive. Results: Of 1063 eligible pts, median age was 56 years (IQR 47, 65). Most had N1 (48%) or N2 (34%) disease. Median follow-up was 17.5 months (IQR 11, 25). Tx persistence at 6 months was 75%. DC was mostly due to adverse events (AEs; 19%) and <1% due to recurrence. Approximately 50% of pts had ≥1 dose reduction. Persistence was 85% in pts with ≥1 dose reduction and 64% in pts with no dose reductions. 70% of pts who DC’d by 6 months did not have a dose reduction. Median time from start of abemaciclib to first dose change and/or hold was 49 days (IQR 23, 111). During the first 30 days of tx and Days 31-90, DCs due to AEs were lower in pts with dose reductions vs pts with no dose reductions (Table). Persistence and use of dose reductions were similar in pts confirmed as meeting the monarchE high-risk criteria. Conclusion: In US clinical practice, a majority (75%) who initiated adjuvant abemaciclib continued abemaciclib beyond 6 months. Tx persistence was higher among pts with dose reductions relative to those with no dose reductions, and rates of early DCs due to AEs were low in pts with dose reductions. Given that dose reductions in monarchE were not associated with reduced efficacy, these additional real-world data support the use of early dose modifications to improve tolerability and tx persistence for adjuvant abemaciclib in pts with high risk of recurrence. Citation Format: H. Soliman, S. Dent, A. Liepa, V. Stefaniak, M. Huang, T. Sugihara, K. Moreira, K. Hudson, M. Goetz. Treatment Persistence and Dose Modifications in US Patients with HR+, HER2-, Node-Positive, Early Breast Cancer Treated with Adjuvant Abemaciclib [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 PS5-05-09.
Abstract PS5-07-20: Trial in progress: Phase 1 Study Targeting DNA Methyltransferases in Metastatic Triple-Negative Breast Cancer (NCI Protocol #10546)
Leon-Ferre, R. A., Zahrieh, D. M., Advani, P. P., Giridhar, K. V., Dizona, P. J., Stover, D. G., Wang, X. , Tevaarwerk, A. J., Choong, G. M., Yasir, S., Kalari, K. R., Foldi, Julia , Parajuli, R., Hackney, Mary Helen , Chew, H. K., Wajeeha, R., Bear, H., Sharon, E., Ko, B., Shapiro, G. I., Gore, S., Pelosof, Lorraine, Wang, L., Goetz, M. P., Leon‐Ferre, Roberto A. , Zahrieh, David , Advani, P. P., Quiroga, Dionisia , Tevaarwerk, Amye J., Kalari, Krishna R. , Razaq, Wajeeha, Gore, Steven D. , Goetz, Matthew P.

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS5-07-20-PS5-07-20

10.1158/1557-3265.sabcs25-ps5-07-20 Get It

Abstract Background: DNA methyltransferase (DNMT) isoforms 1, 3A and 3B are enzymes that regulate DNA methylation, controlling gene expression, chromatin stability and genetic imprinting. We have previously shown that DNMT3A protein expression in early triple negative breast cancer (TNBC) is associated with more aggressive clinicopathologic features (higher tumor grade, tumor proliferation and frequency of nodal metastases) and worse clinical outcomes in the absence of chemotherapy (Leon-Ferre et al, SABCS 2024). Pre-clinically, we have shown that DNMT3A protein expression predicts sensitivity to DNMT inhibitors (Yu J et al., J Clin Invest 2018), and that DNMT inhibitor treatment leads to downregulation of DNMT3A, enhanced expression of immune-related pathways, and halted tumor growth, particularly in combination with immunotherapy and paclitaxel. Methods: This is a phase 1, open-label, multicenter study evaluating the safety and recommended phase 2 dose (RP2D) of the oral DNMT inhibitor ASTX727 + paclitaxel + pembrolizumab in metastatic TNBC. ASTX727 is an oral fixed dose combination (FDC) tablet of 35 mg decitabine (active agent) and 100 mg cedazuridine (a cytidine deaminase inhibitor that prevents decitabine degradation in the bowel and liver, allowing oral delivery). The study consists of two parts: Part 1 is a dose-finding cohort, using a 3+3 design, with 5 dose levels (Table), and its primary objective is to determine the RP2D. Part 2 is an expansion cohort (n=6), with the primary objective to confirm tolerability of the regimen at the RP2D. Secondary objectives are to record the antitumor activity of the regimen, describe the AE profile, explore the association of baseline gene expression profiles with clinical benefit, and to evaluate impact of treatment on tumor and ctDNA methylation. Exploratory objectives will evaluate the association of baseline DNMT3A protein expression and antitumor activity, and the impact of treatment on the tumor and peripheral blood immune phenotype. Eligible patients are adults 18 years or older with metastatic TNBC (ER/PR ≤10%, and HER2-negative per ASCO/CAP guidelines), independent of PD-L1 expression. Patients are allowed to have received 0-3 prior lines of systemic therapy in the metastatic setting, including prior immune checkpoint inhibitors in the early and/or metastatic settings. Patients must be eligible for taxanes and have adequate organ and bone marrow function. Patients with treated brain metastases are eligible if previously treated without evidence of progression after 4 weeks. Leptomeningeal carcinomatosis is not allowed. Patients must have an ECOG performance status of ≤2 and have no gastrointestinal disorders impacting absorption of oral medications. As of June 20, 2025, the study is enrolling patients, with 10 patients dosed in the dose-finding phase. Citation Format: R. Leon-Ferre, D. M. Zahrieh, P. P. Advani, D. Quiroga, K. V. Giridhar, P. J. Dizona, D. Stover, X. Wang, A. J. Tevaarwerk, G. M. Choong, S. Yasir, K. R. Kalari, J. Foldi, R. Parajuli, M. H. Hackney, H. K. Chew, R. Wajeeha, H. Bear, E. Sharon, B. Ko, G. I. Shapiro, S. Gore, L. Pelosof, L. Wang, M. P. Goetz. Trial in progress: Phase 1 Study Targeting DNA Methyltransferases in Metastatic Triple-Negative Breast Cancer (NCI Protocol #10546) [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 PS5-07-20.
Abstract PS2-11-01: Lmtk2: a novel driver of endocrine resistance in ER+ breast cancer
Detry, A. M., Marigliano, S., Heinen, J., Bass, Adam D. , Jones, C., Muthyala, R. S., Goetz, M. P., Hawse, J. R., Detry, Anna, Heinen, Jenna E., Jones, Calley J., Muthyala, Rajeev S. , Goetz, Matthew P.

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-11-01-PS2-11-01

10.1158/1557-3265.sabcs25-ps2-11-01 Get It

Abstract Breast cancer is the most common female malignancy in the U.S. and the leading cause of cancer-related deaths in women worldwide. Nearly 80% of breast tumors express estrogen receptor alpha (ERα) which drives tumor progression. While CDK4/6 inhibitors in combination with endocrine therapy improve overall survival in the metastatic setting and disease-free survival in the adjuvant setting, many patients eventually relapse/progress with resistant forms of disease. In the post-CDK4/6 inhibitor setting, second line endocrine therapy responses are limited, highlighting the need for alternative treatment approaches. Through a genome-wide CRISPR knockout screen, we identified Lemur Tail Kinase 2 (LMTK2) as the top hit exhibiting synthetic lethality in the presence of the tamoxifen metabolite, endoxifen, in both endocrine-sensitive and -resistant cell line models. We further studied multiple other endocrine resistant models and identified that LMTK2 mRNA and protein expression were both increased in ERα cell lines resistant to estrogen deprivation, tamoxifen, fulvestrant, abemaciclib and palbociclib, as well as in endocrine resistant patient derived models. We then studied LMTK2 in patient samples and identified copy number gain/amplification in 67% of ERα+ human metastatic breast tumors, while only 1% of primary tumors harbored these genomic alterations. From a prognostic standpoint, elevated tumoral LMTK2 expression was associated with worse recurrence-free survival and overall survival in early-stage breast cancer. Through proteomic studies, we identified the MET-PI3K-AKT pathway as overactivated in LMTK2 overexpressing cells. Unlike activating PIK3CA mutations that drive AKT signaling, LMTK2 was found to employ an alternative mechanism to activate AKT signaling by inhibiting PP1α, an AKT-inhibitory phosphatase. Further, LMTK2 overexpression was sufficient to drive endocrine and CDK4/6 inhibitor resistance in vitro and resulted in dramatic increases in AKT and ERα phosphorylation and activity. While knockout of LMTK2 in treatment naïve ERα+ breast cancer cells neither altered AKT/ERα phosphorylation/activity nor endocrine/CDK4/6 inhibitor responsiveness, attempts to knockout LMTK2 in endocrine/CDK4/6 inhibitor-resistant models failed, further confirming its essentiality in this setting. In summary we have uncovered LMTK2 as a novel biomarker of endocrine/CDK4/6 inhibitor resistance that is mechanistically linked to the AKT pathway. LMTK2 may be a novel drug target for the effective treatment of resistant and advanced forms of ERα+ breast cancer. Citation Format: A. M. Detry, S. Marigliano, J. Heinen, A. Bass, C. Jones, R. S. Muthyala, M. P. Goetz, J. R. Hawse. Lmtk2: a novel driver of endocrine resistance in ER+ 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 PS2-11-01.
Abstract PS2-07-13: 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)
Malorni, L., Mayer, E. L., Benelli, M., Biganzoli, L., Migliaccio, Ilenia , Kermanidis, Anna Sophia, Pfeiler, G., Mamounas, E. P., Brufsky, A. M., Bellet-Ezquerra, M., Clifton, Katherine , Foukakis, T., Goetz, M. P., Lee, S., Ruiz-Borrego, M., Symmans, W. F., Ballman, K. V., Liu, F., Machacek-Link, J., Denkert, C., DeMichele, A. M., Gnant, M., Malorni, L., Hlauschek, Dominik , Benelli, Matteo , Biganzoli, Laura , Pfeiler, G., Mamounas, EP, Brufsky, Adam , Clifton, Katherine , Rubovsky, Gabor , Foukakis, Theodoros , Goetz, Matthew P. , Ruíz-Borrego, Manuel , Symmans, W. Fraser , Ballman, K. V., Machacek‐Link, Jana, DeMichele, Angela , Gnant, Michael

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-07-13-PS2-07-13

10.1158/1557-3265.sabcs25-ps2-07-13 Get It

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 PS2-11-08: Stemness-targeted therapies to enhance the efficacy of AURKA inhibitors in endocrine resistant er+ breast cancer
D'ASSORO, A. B., Drago, M., Haddad, TC, Goetz, M. P., Giridhar, K. V., Kalari, K., Drago, F., Vancheri, C., Lange, C., Ingle, J. N., D’Assoro, Antonino B. , Goetz, Matthew P. , Kalari, KR, Manzella, Livia , Vigneri, Paolo Giovanni , Drago, F., Vancheri, C.

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-11-08-PS2-11-08

10.1158/1557-3265.sabcs25-ps2-11-08 Get It

Abstract Significance: Emergence of resistance to endocrine therapies represents a major challenge in theclinical management of estrogen receptor positive (ER+) breast tumors. CDK4/6 inhibitors(palbociclib, ribociclib, abemaciclib) have improved survival when combined with endocrine therapy. Nonetheless, resistance to CDK4/6 inhibitors eventually occurs. One of the emerging mechanisms ofresistance toward endocrine therapy and CDK4/6 inhibitors is characterized by the enrichment ofbreast cancer stem cells (CSCs) that show stem-like features such as self-renewal capacity, highCD44 expression and ALDH activity. We have demonstrated that Aurora-A kinase (AURKA) has apivotal role in promoting cancer cellular plasticity and clonal expansion of endocrine resistantCD44high/ALDHhigh CSCs. Our preclinical studies on AURKA-driven tumor stemness provided thetherapeutic foundation for a Phase-II clinical trial (TBCRC041) of the AURKA inhibitor, alisertib, whichdemonstrated clinically meaningful activity in patients with endocrine and CDK4/6 inhibitors resistantER+ metastatic breast cancer (MBC). Despite such activity, alisertib resistance finally occurred. Therefore, we hypothesize that up-regulation of IL6R/STAT3 and PR stemness oncogenic pathwaysmay sustain the clonal expansion of CD44high/ALDHhigh CSCs after tumor progression on AURKAinhibitors. Experimental Design: We used variant MCF-7 breast cancer models that show resistance toendocrine therapy (letrozole and fulvestrant) and alisertib (MCF-7 LR/FR, MCF-7 LR/FR-AlisR) todefine in vitro and in vivo the efficacy of stemness-targeted therapies to enhance alisertib activity byimpairing the enrichment of hormone refractory CD44High/ALDHHigh CSCs. Parental MCF-7 cells wereused as control. We employed exclusive PDX-derived 3D-Mammospheres (MPS) that wereestablished from the Phase-II clinical trial TBCRC041 to test the efficacy of stemness-targetedtherapies in enhancing the therapeutic activity of alisertib. In Vitro Studies: Immunofluorescence andimmunoblot assays were used to assess the expression of breast cancer stemness biomarkers. Enrichment of ALDHHigh CSCs was measured using Red-Aldefluor kit. Cell proliferation and Red-Annexin-VHigh apoptotic cells were quantified in real-time using IncuCyte S3. In Vivo Studies: 1x106breast cancer cells were injected into the mammary fat pad of NSG-female mice and treated withfulvestrant, alisertib and tocilizumab as monotherapy or in combination. Control groups were treatedwith saline solution placebo. Drug Treatments: Tocilizumab and Onapristone were used to inhibit theIL6R/STAT3 and PR stemness pathways, respectively. Results: Our study demonstrates for the first time that nuclear STAT3/PR complex mediatesAURKA-induced expression of KLF4 stemness gene and enrichment of endocrine resistantCD44high/ALDHhigh CSCs. Alisertib resistant MCF-7 LR/FR cells showed increased expression ofIL6R, T288-AURKA, S727-STAT3 and S294-PR compared to alisertib naïve cells. MCF-7 LR/FR-AlisR-derived 3D-MPS had increased KLF4 and CD44 expression. Alisertib resistant PDX modelsalso showed high levels of CD44, IL6R/STAT3 and KLF4 expression. Remarkable, pharmacologicalblockade of PR and STAT3 transcriptional regulatory networks enhanced the efficacy of alisertib byreducing the enrichment of CD44High/ALDHHigh CSCs. Conclusions: These findings provide the strong preclinical rationale for the development of novelcombinatorial therapeutic strategies targeting IL6R/STAT3 and PR stemness pathways to enhancethe efficacy of AURKA inhibitors that will result in the selective eradication of CD44High/ALDHHighCSCs with consequent benefits on the overall survival of patients with advanced ER+ breast tumorsrefractory to endocrine therapies and CDK4/6 inhibitors.輀 Citation Format: A. B. D'ASSORO, M. Drago, T. Haddad, M. GOETZ, K. Giridhar, K. Kalari, L. Manzella, P. Vigneri, F. Drago, C. Vancheri, C. Lange, J. Ingle. Stemness-targeted therapies to enhance the efficacy of AURKA inhibitors in endocrine resistant er+ 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 PS2-11-08.