bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.08.21.671451

Bio-fabricated alginate tumor-like hydrogels to enhance understanding of prostate-specific micro-environments in vitro

Abstract

Engineered three-dimensional (3D) in vitro models are useful tools for closely mimic human tissue-specific tumor microenvironments (TME) and to provide key information on cell-material interactions. In this work we aimed at engineering prostate-specific in vitro models to help in discerning specific cell-material interactions at the interface during prostate cancer (PCa) progression, focusing on modelling both biomechanical and biochemical traits of the prostate extracellular matrix (ECM) within PCa progression. Here, we functionalized alginates and obtained PCa-specific hydrogels for 3D culture and ease evaluation of markers used to assess PCa progression in human prostate cancer cells (i.e., PC-3 cells). Alginate-based hydrogels were modified with laminin-like peptides (i.e., IKVAV, AG73) and tailored in physical and mechanical properties to closely mimic the PCa ECM, with mechanical properties in the range of 2.5-13 kPa (the stiffer value matching advanced/metastatic PCa). To engineer the heterogeneity of advanced PCa, cancer-associated fibroblasts (hTERT PF179T CAF) were selected as stromal cellular component and co/cultured with PC-3 cells. We formulated prostate bioinks for extrusion-based bioprinting (EBB) and 3D printed engineered PCa in vitro models to study the effect of the microenvironment on the expression of key markers in PC-3 cells, considering the pivotal role of epithelial-to-mesenchymal transition (EMT) in PCa progression. Cells cultured in prostate-specific hydrogels showed higher cell proliferation and viability, whereas CD44 and Vimentin expression evidenced a higher metastatic potential in PC-3 cells cultured in stiffer and laminin-enriched hydrogels. The selected PCa TMEs used in this work showed PC-3 cells expressing increased levels of Vimentin when co-cultured with CAFs, which also correlates with CD44 expression. Results suggests positive correlations with clinical findings, underlying that tumor biomechanics holds potential for better understand cancer pathobiology and that new 3D in vitro models are urged to unveil how ECM traits regulate PCa progression. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/671451v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@6a923borg.highwire.dtl.DTLVardef@a68087org.highwire.dtl.DTLVardef@14029a8org.highwire.dtl.DTLVardef@16ef509_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Al-Husaini, K., Spessot, E., Baena, E., Domingos, M., Tirella, A.. 2025-08-25. Bio-fabricated alginate tumor-like hydrogels to enhance understanding of prostate-specific micro-environments in vitro. https://doi.org/10.1101/2025.08.21.671451

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

KEEP EXPLORING

Related preprints

Dynamic Compression Platform for Live Imaging of Scaffold-Transmitted Cellular Mechanoresponses

Mechanical characterization of biomaterial scaffolds is essential to evaluate their capacity to meet the functional demands of target tissues in tissue engineering and regenerative medicine applications. Scaffolds designed to interface with living tissues must support the transmission of mechanical cues to resident cells and stimulate mechanosignaling pathways that are essential to their function. In joints, bone and cartilage cells act as primary mechanosensors, converting mechanical stimuli into biochemical signals that regulate tissue homeostasis and remodelling. Therefore, evaluating cellular mechanoresponses to scaffold-transmitted compression in vitro can inform the development of functional tissue-engineered constructs. For example, poly({epsilon}-caprolactone) (PCL) scaffolds are highly relevant for bone and cartilage tissue engineering due to their biocompatibility, stable mechanical properties and slow degradation. Here, we applied a custom-built device to study compression-induced mechanosignaling in MC3T3-E1 pre-osteoblast cells. The device is composed of a polydimethylsiloxane (PDMS) pillar, a force-sensing load cell, and a piezoelectric linear track. A protocol is described in which MC3T3-E1 cells are repeatedly compressed, while in parallel live tracking of force measurements and live imaging of intracellular calcium dynamics in MC3T3-E1 cells are recorded. PCL scaffolds fabricated by melt electrowriting (MEW) were subsequently integrated into the platform. Scaffold-transmitted compression triggered dynamic increases in cytosolic calcium; in MC3T3-E1 cells located directly under the PCL microfibers, but also in cells located in the interfiber spaces. This device and workflow facilitate in vitro investigations of real-time cellular mechanoresponses to dynamic compression applied with biomaterial scaffolds, and provides a testing platform for evaluating the mechanotransductive properties of scaffolds intended for tissue engineering applications.

bioengineering↗

Ultrasound Tracking Reveals Progressive Regional Strain Differences in Human Achilles Tendons During Fatigue Loading

Ultrasound is commonly used to assess structural changes in symptomatic Achilles tendons, but quantitative biomechanical metrics for progressive tendon deterioration remain limited. The goal of this study was to develop and validate an automated ultrasound tracking algorithm for regional tendon deformation and evaluate strain progression in survived and ruptured tendons during fatigue loading. We hypothesized that maximum strain, average strain, and strain heterogeneity would exhibit different trajectories between groups. Ten cadaveric Achilles tendons underwent cyclic loading with stress tests every 500 cycles until rupture or 150,000 cycles. Ultrasound images acquired during stress tests were analyzed using an automated tracking algorithm to generate spatially resolved regional strain fields. Ultrasound-derived bulk strain was highly correlated with actuator-derived strain in survived (R^2 = 0.968 +/- 0.017) and ruptured tendons (R^2 = 0.972 +/- 0.014). Maximum and average longitudinal strains progressively diverged between groups across fatigue life (Group x FatigueLife: p = 0.003 and p < 0.0001, respectively). During the first 10,000 cycles, average strain decreased in survived tendons ({beta} = -0.0268%, p = 0.0215) but not ruptured tendons ({beta} = 0.0147%, p = 0.1197), with a significant Group x Cycle interaction (p = 0.0061). This study demonstrates that the algorithm quantified Achilles tendon deformation with high fidelity and enabled spatially resolved strain assessment throughout fatigue loading. Maximum and average strain followed different trajectories between groups, whereas strain heterogeneity did not. Early differences in tendon biomechanics suggest that regional strain behavior may change before pronounced differences in absolute magnitude develop.

bioengineering↗

Brain organoid computing for robotic decision-making

Biomimicry has inspired the evolution of robotics toward greater autonomy, adaptability, and symbiosis with humans and dynamic environments. However, current robotic systems still face major challenges in recapitulating the high-efficiency decision-making capabilities of the human brain under complex and dynamic conditions. Here, we present Brainobot, a biohybrid robotic system that establishes a brain organoid controller as a high-level robotic decision-making layer for closed-loop embodiment. By leveraging brain organoid reservoir computing, Brainobot interacts with dynamic environments by receiving and processing sensory inputs and generating motor actions. As a proof-of-concept demonstration, Brainobot is implemented in a humanoid robotic system to perform real-world tasks, including object grasping and laser chasing. Interestingly, Brainobot exhibits unique features, including cross-task adaptivity, high computing efficiency, and low energy consumption. Thus, our approach may provide insights for advancing robotic embodiment and understanding biological decision-making.

bioengineering↗