Guerriero, Jennifer L.

TPS1143 Background: Poly(ADP-ribose) polymerase (PARP) inhibitors (PARPi) have revolutionized the treatment of patients (pts) with germline BRCA1/2 (gBRCA)-associated HER2-negative BC. However, resistance eventually occurs in almost all pts. Tumor-associated macrophages (TAMs), a key component of the BC tumor microenvironment, are highly immunosuppressive and associated with poor clinical outcomes. In preclinical immunocompetent models of BRCA-associated BC, PARP inhibition induces suppressive CSF-1R+ TAMs, contributing to resistance, so that combining anti-CSF-1R therapy with PARPi significantly enhances progression free survival (PFS) compared to PARPi monotherapy (190d vs 92d). Axatilimab (SNDX-6352; Ab969.g2), a humanized IgG4 monoclonal antibody targeting CSF-1R, reduces TAMs, potentially slowing tumor growth and enhancing anti-tumor immunity. In the Phase I SNDX-6352-0502 study for advanced solid tumors, axatilimab showed tolerability at the highest dose (6 mg/kg), with biomarker modulation observed at doses as low as 1 mg/kg. Axatilimab is FDA-approved for chronic graft-versus-host disease (cGVHD). Methods: AXALAP (NCT06488378) is a non-randomized open-label, proof-of-concept phase 1 study designed to evaluate axatilimab 1mg/kg or 3mg/kg every 2 weeks in combination with olaparib 300 mg twice daily in pts with somatic or germline BRCA1/2 - and PALB2 -associated HER2-negative metastatic BC. Patients must be PARPi naïve, or have not progressed on prior PARPi, and have received up to 2 prior lines of chemotherapy for metastatic disease. Pts will receive a two-week lead-in of olaparib monotherapy, followed by combined olaparib and axatilimab. Pts will undergo mandatory tumor biopsies pre-treatment, after the 2-week olaparib lead-in, and after 2 cycles of olaparib/axatilimab, with an optional biopsy at time-of-progression. Primary objectives are to establish the maximum tolerated dose (MTD) and recommended phase 2 dose and to assess the safety and tolerability of axatilimab and olaparib. Secondary objectives include assessment of changes in CSF-1R+ CD163+ macrophage levels after olaparib monotherapy and after 2 cycles of combination treatment at the MTD; to determine the objective response rate and the median PFS of the combination per RECIST 1.1 criteria. The MTD will be determined by Bayesian Optimal Interval (BOIN) design. Pts will be treated in cohorts of 3 with a maximum of 10 at each dose. If the MTD is identified as 3mg/kg, we will complete enrollment of 10 pts at 1 mg/kg to assess biological effectiveness and clinical efficacy of the lower dose. We expect to treat up to 20 pts, who will receive study treatment until development of unacceptable toxicity or disease progression. Enrollment began on 5/2024 at Dana-Farber Cancer Institute and the trial will also open at Beth Israel Deaconess Medical Center and Mayo Clinic-Rochester. Clinical trial information: NCT03604692 .

Breast cancer is a heterogenous disease with variability in tumor cells and in the surrounding tumor microenvironment (TME). Understanding the molecular diversity in breast cancer is critical for improving prediction of therapeutic response and prognostication. High-plex spatial profiling of tumors enables characterization of heterogeneity in the breast TME, which can holistically illuminate the biology of tumor growth, dissemination and, ultimately, response to therapy. The GeoMx Digital Spatial Profiler (DSP) enables researchers to spatially resolve and quantify proteins and RNA transcripts from tissue sections. The platform is compatible with both formalin-fixed paraffin-embedded and frozen tissues. RNA profiling was developed at the whole transcriptome level for human and mouse samples and protein profiling of 100-plex for human samples. Tissue can be optically segmented for analysis of regions of interest or cell populations to study biology-directed tissue characterization. The GeoMx Breast Cancer Consortium (GBCC) is composed of breast cancer researchers who are developing innovative approaches for spatial profiling to accelerate biomarker discovery. Here, the GBCC presents best practices for GeoMx profiling to promote the collection of high-quality data, optimization of data analysis and integration of datasets to advance collaboration and meta-analyses. Although the capabilities of the platform are presented in the context of breast cancer research, they can be generalized to a variety of other tumor types that are characterized by high heterogeneity.

Abstract In multiple myeloma (MM), despite well-characterized precursor states such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), there is a lack of sufficient biomarkers to predict disease progression. Most genomic analyses have studied the malignant plasma cells, however, cancers form a complex ecosystem with the immune and stromal microenvironment. To characterize the cellular composition and transcriptional programs of each component of the tumor and microenvironment at different stages of MM progression, we employed single-cell RNA sequencing on 48K plasma and 40.8K immune microenvironmental cells from a cohort of 22 patients with varying stages of disease progression and 9 healthy donors. Expression profiles of plasma cells revealed clear tumor-specific differences in known oncogenic drivers in MM (MMSET/FGFR3, CCND1 and MAFB) as well as other clonally expressed genes (LAMP5, HIST1H1C, and AREG), distinguishing them from healthy plasma cells. We identified a subset of cycling plasma cells in malignant samples, observing a range of proliferative capacity across disease stages. Furthermore, our approach allowed a unique head-to-head comparison of gene expression changes in normal and malignant plasma cells from the same individual, revealing early alterations in genes related to immune modulation (NKBIA) or controlling transcription and differentiation (EID1). Some alterations were patient-specific, while others, such as MHC I overexpression and CD27 loss, were recurrently observed across subsets of the cohort. Analysis of the BM microenvironment demonstrated significant infiltration of natural killer cells, non-classical monocytes/macrophages, and T cells, even in the earliest stages of the disease. Further investigation revealed upregulation of MHC II expression at the mRNA level in CD14+ monocytes/macrophages and yet, intriguingly, analysis by CyTOF and immunohistochemistry revealed a shift towards intracellular localization of MHC II in these cells. Co-culture with MM cell lines was sufficient to induce the decrease of extracellular MHC II, providing strong evidence for MM-induced compromised antigen presentation by macrophages, and hinting at a mechanism of immune evasion. Together, our results provide a comprehensive view at the complex interplay of the immune and malignant cells in different stages of the disease. We demonstrate the immune response beginning in premalignant conditions to be heterogeneous, including compromised antigen presentation as well as alterations in cellular composition and signaling. Consideration of the type of immunological response may prove valuable in determination of progression risk, as well as open up potential strategies for therapy. Citation Format: Nicholas J. Haradhvala, Oksana Zavidij, Tarek H. Mouhieddine, Romanos Sklavenitis-Pistofidis, Jihye Park, Mairead Reidy, Abdallah Flaifel, Benjamin Ferland, Salomon Manier, Mark Bustoros, Daisy Huynh, Marzia Capelletti, Brianna Berrios, Mahshid Rahmat, Chia-Jen Liu, Meng Xiao He, Esteban Braggio, Rafael Fonseca, Yosef Maruvka, Jennifer Guerriero, Melissa Goldman, Eliezer Van Allen, Steven McCarroll, Jamil Azzi, Gad Getz, Irene M. Ghobrial. Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 139.