Abstract 1589: Spatial and molecular profiling of multinucleated giant macrophages in pancreatic ductal adenocarcinoma

Abstract Macrophages constitute a dominant and heterogeneous immune population within the microenvironment of pancreatic ductal adenocarcinoma (PDAC), but how specific macrophage states contribute to tumor behavior remains poorly understood. In an institutional series of 145 PDAC specimens, we identified a distinct subset of multinucleated giant cells (MGCs) of macrophage origin, an entity well described in chronic inflammation but rarely characterized in cancer. CD68+MGCs were found in about 28% of cases, enriched in squamous, non-glandular regions, and more frequent after neoadjuvant chemotherapy. Spatial and high-dimensional profiling, including NanoString GeoMx® Digital Spatial Profiling, Hyperion Imaging System, and AI-guided histopathology, defined the morphological, phenotypic, and transcriptional features of these cells. PDAC-associated MGCs lacked canonical polarization markers (HLA-DR, CD163) and instead displayed a unique transcriptional program involving POLR2K, TUBA8, COX5B, and VDAC1, genes linked to oxidative stress, DNA repair, and MYC signaling. Gene set enrichment and spatial analyses indicated that MGC-rich regions coincide with hypoxic and extracellular matrix-remodeling niches. Experimental hypoxia promoted MGC formation in vitro. Morphometric assessment revealed abnormal nuclear architecture and increased 53BP1+/Ki67+ nuclei in MGCs, suggesting proliferative activity despite DNA damage. A macrophage MGC gene signature was enriched in the squamous subtype of PDAC and correlated with shorter overall survival in TCGA datasets (p = 0.018). Collectively, these data identify multinucleated macrophages as a previously unrecognized immune cell state driven by microenvironmental stress and hypoxia. Their distinctive transcriptional and spatial profiles associate with aggressive tumor phenotypes, highlighting potential diagnostic and prognostic relevance in pancreatic cancer. Citation Format: Marika Viatore, Rebecca Polidori, Anna Rita Putignano, Arturo Bonometti, Silvia Uccella, Silvia Bozzarelli, Gianluca Basso, Marco Erreni, Capretti Giovanni, Vincenzo Corbo, Alberto Mantovani, Massimo Locati, Federica Marchesi. Spatial and molecular profiling of multinucleated giant macrophages in pancreatic ductal adenocarcinoma [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 1589.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-1589
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Abstract 1589: Spatial and molecular profiling of multinucleated giant macrophages in pancreatic ductal adenocarcinoma

Silvia Uccella, Marika Viatore, Federica Marchesi, Massimo Locati et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 1589: Spatial and molecular profiling of multinucleated giant macrophages in pancreatic ductal adenocarcinoma

Silvia Uccella, Marika Viatore, Federica Marchesi, Massimo Locati, Vincenzo Corbo, Anna Rita Putignano, Rebecca Polidori, Gianluca Basso, Silvia Bozzarelli, Marco Erreni, Arturo Bonometti, Alberto Mantovani, Capretti Giovanni
article en

Abstract

Abstract Macrophages constitute a dominant and heterogeneous immune population within the microenvironment of pancreatic ductal adenocarcinoma (PDAC), but how specific macrophage states contribute to tumor behavior remains poorly understood. In an institutional series of 145 PDAC specimens, we identified a distinct subset of multinucleated giant cells (MGCs) of macrophage origin, an entity well described in chronic inflammation but rarely characterized in cancer. CD68+MGCs were found in about 28% of cases, enriched in squamous, non-glandular regions, and more frequent after neoadjuvant chemotherapy. Spatial and high-dimensional profiling, including NanoString GeoMx® Digital Spatial Profiling, Hyperion Imaging System, and AI-guided histopathology, defined the morphological, phenotypic, and transcriptional features of these cells. PDAC-associated MGCs lacked canonical polarization markers (HLA-DR, CD163) and instead displayed a unique transcriptional program involving POLR2K, TUBA8, COX5B, and VDAC1, genes linked to oxidative stress, DNA repair, and MYC signaling. Gene set enrichment and spatial analyses indicated that MGC-rich regions coincide with hypoxic and extracellular matrix-remodeling niches. Experimental hypoxia promoted MGC formation in vitro. Morphometric assessment revealed abnormal nuclear architecture and increased 53BP1+/Ki67+ nuclei in MGCs, suggesting proliferative activity despite DNA damage. A macrophage MGC gene signature was enriched in the squamous subtype of PDAC and correlated with shorter overall survival in TCGA datasets (p = 0.018). Collectively, these data identify multinucleated macrophages as a previously unrecognized immune cell state driven by microenvironmental stress and hypoxia. Their distinctive transcriptional and spatial profiles associate with aggressive tumor phenotypes, highlighting potential diagnostic and prognostic relevance in pancreatic cancer. Citation Format: Marika Viatore, Rebecca Polidori, Anna Rita Putignano, Arturo Bonometti, Silvia Uccella, Silvia Bozzarelli, Gianluca Basso, Marco Erreni, Capretti Giovanni, Vincenzo Corbo, Alberto Mantovani, Massimo Locati, Federica Marchesi. Spatial and molecular profiling of multinucleated giant macrophages in pancreatic ductal adenocarcinoma [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 1589.

Cancer ResearchVol. 86(7_Supplement)
University of Verona (IT), Humanitas University (IT), University of Milan (IT), IRCCS Humanitas Research Hospital (IT)
Good health and well-being
Openalex Percentile: Top 31%
Single-cell and spatial transcriptomics
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