Skip to content

Micro-vascularized Multicellular Pancreatic Ductal Adenocarcinoma (PDAC) spheroid: A novel 3D PDAC Research Model.

Sep 2026 · Translational Research: The Journal of Laboratory and Clinical Medicine · Vol 297, pp. 98-111 · 0 citations · 67 references
Medicine

TL;DR

This model enables analysis of tumor-endothelial-stromal interactions in a pancreas-derived dECM environment and supported PDAC spheroid formation and the CD44-associated endothelial phenotype.

Abstract

Aim

To establish a multicellular three-dimensional (3D) pancreatic ductal adenocarcinoma (PDAC) spheroid model in a pancreas-derived extracellular matrix environment and determine how cancer-associated fibroblasts (CAFs) and endothelial CD93 affect spheroid architecture and endothelial organization.

Methods

Porcine pancreatic decellularized extracellular matrix (dECM) was processed into a hydrogel and characterized. PANC-1 cells and mCherry-labelled human umbilical vein endothelial cells (HUVECs) were embedded with or without patient-derived CAFs. Microscopy, immunofluorescence staining, and image analysis were used to evaluate spheroid formation, cellular composition, HUVEC distribution, CD31/CD44 double-positive staining, and matrix-remodeling-associated proteins. CD93-overexpressing HUVECs were used to examine the effects of endothelial CD93.

Results

The dECM hydrogel retained major matrix components and supported PDAC spheroid formation. HUVECs exhibited elongated and interconnected network-like distributions around and within PANC-1 aggregates. Compared with PANC-1/HUVEC co-cultures, CAF-containing tri-cultures formed more spheroids and showed greater mean and total spheroid volumes, higher cell density, and increased estimated PANC-1 and HUVEC abundance. The CD31/CD44 double-positive signal was 1.46-fold higher in tri-cultures. Endothelial CD93 overexpression increased spheroid number and cell density and produced a more intermixed cellular distribution, but reduced the number of large spheroids, mean spheroid volume, total spheroid burden, estimated PANC-1 abundance, and MMP2 and MMP9 immunofluorescence signals. The CD31/CD44 double-positive signal increased by 1.3-fold without a significant change in estimated HUVEC abundance.

Conclusion

This model enables analysis of tumor-endothelial-stromal interactions in a pancreas-derived dECM environment. CAFs and endothelial CD93 differentially altered spheroid architecture and the CD44-associated endothelial phenotype. The formation of continuous and functional microvascular structures remains to be established.

View source

Similar papers

Sep 2026

Abstract A001: Improved Modeling of Pancreatic Ductal Adenocarcinoma (PDAC) Using High-Density Collagen Matrix

Pancreatic Ductal Adenocarcinoma (PDAC) has a tumor microenvironment (TME) that is rich in organized strands of type I collagen. The most commonly used PDAC models utilize basement membrane extract (BME, e.g. Matrigel), which instead contains the more pliable type IV collagen. We hypothesize that utilizing a high...

Marc Abou Assali, Nguyen-Ta Kim, Sural K. Ranamukhaarachchi et al. · 0 citations
Open access Sep 2026

Hepatic stellate cells promote structural and functional remodeling of three-dimensional hepatocellular carcinoma coculture spheroids

Hepatic stellate cells (HSCs) are major regulators of the hepatocellular carcinoma (HCC) tumor microenvironment, contributing to extracellular matrix remodeling, tumor progression, and therapeutic resistance. Although three-dimensional (3D) coculture spheroid models better represent tumor-stroma interactions than conve...

Jéssica Obelar, João G. Vasconcellos, N. B. Do Nascimento et al. · 0 citations
Open access Sep 2026

A pancreatic cancer organoid-macrophage co-culture using starPEG-heparin hydrogel deciphers tumor-immune cell interactions

Macrophages are among the most abundant immune cells in the pancreatic ductal adenocarcinoma (PDAC) tumor microenvironment (TME) and play a key role in regulating the immunosuppressive niche that facilitates tumor growth. Although recent three-dimensional (3D) culture systems using patient-derived materials have advanc...

Julius Thyen, V. A. Sioson, Daniel Haak et al. · 0 citations
Sep 2026

Abstract A017: Collagen stiffness shapes the stromal microenvironment architecture in pancreatic cancer in vitro models

Pancreatic ductal adenocarcinoma (PDAC) desmoplasia arises from pancreatic stellate cell (PSC) activation and progressive collagen I deposition, driving extracellular matrix (ECM) stiffening that sustains tumor progression, immune evasion, and therapy resistance. Current 2D and organoid models still poorly capture ho...

E. Soprano, Federica Carnevali, S. Forciniti et al. · 0 citations
Open access Aug 2026

Chemotherapy-induced CAF-associated stromal remodeling in a humanized stroma pancreatic ductal adenocarcinoma organoid xenograft model: a comparison between GP and GS

Pancreatic ductal adenocarcinoma features a dense, desmoplastic tumor microenvironment (TME) dominated by cancer-associated fibroblasts (CAFs). While gemcitabine plus nab-paclitaxel (approximated as gemcitabine plus paclitaxel [GP]) and gemcitabine plus S-1 (GS) are standard regimens with distinct clinical indications,...

K. Furihata, W. Iwashita, Atsushi Kurabayashi et al. · 0 citations
Review Open access Sep 2026

Uncovering the Potential of 3D Spheroids for Modeling the Cellular Crosstalk Within the Tumor Microenvironment in HNSCC

The value of 3D spheroid models as versatile preclinical tools for advancing understanding of HNSCC biology and supporting the development and evaluation of personalized therapeutic strategies targeting pro‐tumorigenic communication networks is highlighted.

Anshu Yadav, Uddalak Das, Randhir Singh et al. · 0 citations

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.