Search PubMedSearch

PubMed · 42377389

Multinucleated Giant Cells in Human Pancreatic Cancer Are a Distinct Macrophage Population Undergoing a DNA Damage Response and Associated with an Aggressive Tumor Microenvironment.

Abstract

Macrophages (Mϕ) constitute a dominant and functionally diverse immune population within the microenvironment of pancreatic ductal adenocarcinoma (PDAC), yet how Mϕ heterogeneity contributes to the tumor remains poorly defined. In an institutional cohort of 145 PDAC specimens, we identified a population of multinucleated giant cells (MGC) of Mϕ origin, an entity previously described in chronic inflammation but rarely in cancer. CD68+ MGCs were present in 28% of tumors, enriched in squamous, nonglandular regions, and more frequent after neoadjuvant chemotherapy. By integrating spatial transcriptomics and quantitative imaging, we defined the features of these cells, which, compared with MGCs in nonneoplastic inflammatory lesions, lacked canonical polarization markers (HLA-DR and CD163) and displayed a distinctive transcriptional program characterized by upregulation of the POLR2K, TUBA8, COX5B, and VDAC1 genes, which encode proteins involved in DNA repair, oxidative stress, and MYC signaling. Spatial analyses revealed activation of hypoxia and extracellular matrix-remodeling pathways in MGC-associated niches, and experimental hypoxia promoted MGC formation in vitro. Consistent with these data, we found that in the The Cancer Genome Atlas (TCGA) Pancreatic Adenocarcinoma (PAAD) dataset a Mϕ MGC gene signature was enriched in the squamous PDAC subtype and correlated with poorer overall survival (P = 0.018). Morphometric and immunofluorescence analyses further showed increased 53BP1+Ki67+ nuclei and nuclear atypia in MGCs, indicating ongoing proliferation despite DNA damage. Together, these data identify MGCs of Mϕ origin as an immune cell state shaped by hypoxia and stress signaling, associated with aggressive tumor phenotypes, and potentially exploitable as an immune classifier in PDAC.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Marika Viatore, Rebecca Polidori, Anna Rita Putignano, Arturo Bonometti, Daoud Rahal, Marialuisa Barbagallo, Lisa Veghini, Greta Donisi, Gianluca Basso, Desirée Giuliano, Sergio Marchini, Marco Erreni, Maria Rita Fumagalli, Fabio Pasqualini, Fabio Grizzi, Paola Spaggiari, Silvia Uccella, Silvia Bozzarelli, Alessandro Zerbi, Giovanni Luigi Capretti, Vincenzo Corbo, Massimo Locati, Alberto Mantovani, Federica Marchesi. 2026-09-02. Multinucleated Giant Cells in Human Pancreatic Cancer Are a Distinct Macrophage Population Undergoing a DNA Damage Response and Associated with an Aggressive Tumor Microenvironment.. https://doi.org/10.1158/2326-6066.cir-25-1602

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans