Dataset Information

Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) is a solid-tumor malignancy. To enhance the treatment landscape of PDAC, a 3D model optimized for rigorous drug screening is essential. Within the PDAC tumor microenvironment, a dense stroma comprising a large extracellular matrix and cancer-associated fibroblasts (CAFs) is well-known for its vital role in modulating tumor growth, cellular heterogeneity, bidirectional paracrine signaling, and chemoresistance. In this study, we employed a fibroblast-populated collagen lattice (FPCL) modeling approach that has the ability to replicate fibroblast contractility in the collagenous matrix to build dense stroma. This FPCL model allows CAF differentiation by facilitating multifaceted cell-cell interactions between cancer cells and CAFs, with the differentiation further influenced by mechanical forces and hypoxia carried within the 3D structure. Our FPCL models displayed hallmark features, including ductal gland structures and differentiated CAFs with spindle shapes. Through morphological explorations alongside in-depth transcriptomic and metabolomic profiling, we identified substantial molecular shifts from the nascent to mature model stages and potential metabolic biomarkers, such as proline. The initial pharmacological assays highlighted the effectiveness of our FPCL model in screening for improved therapeutic strategies. In conclusion, our PDAC modeling platform mirrors complex tumor microenvironmental dynamics and offers an unparalleled perspective for therapeutic exploration.

SUBMITTER: Song X

PROVIDER: S-EPMC11011612 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment.

Song Xiaoyu X Nihashi Yuma Y Imai Yukiko Y Mori Nobuhito N Kagaya Noritaka N Suenaga Hikaru H Shin-Ya Kazuo K Yamamoto Masamichi M Setoyama Daiki D Kunisaki Yuya Y Kida Yasuyuki S YS

International journal of molecular sciences 20240327 7

Pancreatic ductal adenocarcinoma (PDAC) is a solid-tumor malignancy. To enhance the treatment landscape of PDAC, a 3D model optimized for rigorous drug screening is essential. Within the PDAC tumor microenvironment, a dense stroma comprising a large extracellular matrix and cancer-associated fibroblasts (CAFs) is well-known for its vital role in modulating tumor growth, cellular heterogeneity, bidirectional paracrine signaling, and chemoresistance. In this study, we employed a fibroblast-populat ...[more]

PMID: 38612551

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Project description:The fibroblast-populated 3D collagen matrix has been used to study the effect of mechanical stress on cell fate; this process is relevant to the fields of wound healing and tissue engineering. Gene array data was generated from mechanically stressed vs. stress-released matrices. The parameters of the collagen matrix model were: collagen type = bovine type I; collagen concentration = 1.5 mg/mL; initial matrix volume = 0.2 mL; initial matrix diameter = 11 mm (cultured in 24-well plates); cell type = human foreskin fibroblast, passage <10; initial matrix cell concentration = 1,000,000 cell/mL (200,000 cell/matrix); culture medium = 5% FBS in DMEM with 1 M-BM-5g/mL ascorbate. Matrices (n = 6 per experimental group) were incubated for 24 hr in the attached state; the released groups then underwent matrix detachment from the culture plate (defined as t = 0), while the attached groups were left undisturbed. RNA was isolated from attached and released matrices 6 and 24 hr after t = 0. Gene expression in the attached vs. released condition at 6 or 24 hr then was analyzed by hybridizing the anti-sense RNA derived from attached and released matrices at a given time point onto a single chip. Refer to the attached Figure 1 for the experimental design. The index experiment was defined as the comparison of gene expression in attached vs. released collagen matrices in a single strain of human foreskin fibroblasts at 6 and 24 hr after stress-release (i.e., after t = 0). Each experiment utilized two mechanical conditions (attached and released) at two time points (6 and 24 hr). So with each condition utilizing 6 matrices, each index experiment required a total of 24 matrices. In each index experiment, the chip hybridizations were: (i) 6 hr attached vs. 6 hr released, and (ii) 24 hr attached vs. 24 hr released (i.e., two gene chips per index experiment). Each hybridization was done using a 10K spotted gene chip manufactured in the UNMC Microarray Core Facility. The index experiment was performed on three fibroblast strains, meaning that expressional data was derived from three foreskin donors (nonpooled samples). Dye-swap was not performed; dye assigned to attached vs. released remained constant among all chips. Since the index experiment was performed three times, the total number of gene chips used for this entire dataset was six.

Dataset Information

Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment.

Publications

Collagen Lattice Model, Populated with Heterogeneous Cancer-Associated Fibroblasts, Facilitates Advanced Reconstruction of Pancreatic Cancer Microenvironment.

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