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 · 0 citations · 67 references
Medicine

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

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

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.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

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