Establishing 3D Organoid Models from Patient-Derived Conditionally Reprogrammed Cells to Bridge Preclinical and Clinical Insights in Pancreatic Cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE297770 | GEO | 2025/06/16
REPOSITORIES: GEO
Similar Datasets
Project description:Complex three-dimensional (3D) in vitro model systems that recapitulate human tumor biology are essential to better understand the pathophysiology of the disease and to aid in the discovery of novel anti-cancer therapies. 3D organotypic cultures exhibit intercellula communication, nutrient and oxygen gradients, and cell polarity that is lacking in traditional two-dimensional (2D) monolayer cultures. In the present study, we could demonstrate that 2D and 3D cancer models exhibit different drug sensitivities towards both targeted inhibitors of EGFR signaling and broad acting cytotoxic agents. Changes in the kinase activities of Erb family members and differential expression of apoptosis- and survival-associated genes before and after drug treatment may account for the differential drug sensitivities. Importantly, EGFR oncoprotein addiction was evident only in the 3D cultures mirroring the effect of EGFR inhibition in the clinic. Furthermore, targeted drug efficacy was strongly increased when incorporating cancer-associated fibroblasts into the 3D cultures. Taken together, we could provide conclusive evidence that complex 3D cultures are more predictive of the clinical outcome than their 2D counterparts. In the future, 3D cultures will be instrumental for understanding the mode of action of drugs, identifying genotype-drug response relationships and developing patient-specific and personalized cancer treatments.
2017-11-30 | GSE102722 | GEO
Project description:The traditional method for studying cancer in vitro is to grow immortalized cancer cells in two-dimensional (2D) monolayers on plastic. However, many cellular features are impaired in these unnatural conditions and big alterations in gene expression in comparison to tumors have been reported. Three-dimensional (3D) cell culture models have become increasingly popular and are suggested to be better models than 2D monolayers due to improved cell-to-cell contacts and structures that resemble in vivo architecture. The aim of this study was to develop a simple high-throughput 3D drug screening method and to compare drug responses in JIMT1 breast cancer cells when grown in 2D, in polyHEMA coated anchorage independent 3D models and in Matrigel on-top 3D cell culture models. We screened 102 compounds with multiple concentrations and biological replicates for their effects on cell proliferation. The cells were either treated immediately upon plating or they were allowed to grow in 3D for four days prior to the drug treatment. Big variations in drug responses were observed between the models indicating that comparisons of culture model influenced drug sensitivities cannot be made based on effects of a single drug. However, we show with the 63 most prominent drugs that, in general, JIMT1 cells grown on Matrigel were significantly more sensitive to drugs than cells grown in 2D cultures, while responses of cells grown in polyHEMA resembled those of 2D. Furthermore, comparison of gene expression profiles of the cell culture models to xenograft tumors indicated that cells cultured in Matrigel and as xenografts most closely resembled each other. In this study we also suggest that 3D cultures can provide a platform for systematic experimentation of larger compound collections in a high-throughput mode and be used as alternatives for traditional 2D screens towards better comparability to in vivo state. Gene expression analysis of JIMT1 breast cancer cells cultured as xenografts for 43 days, in two dimensional cultures for seven days (2D7d), in polyHEMA three dimensional cell culture models for four and seven days (PH7d and PH7d), and in Matrigel three dimensional cultures for four and seven days (MG4d and MG7d). Two biological replicates was included for each sample.
2013-10-30 | E-GEOD-42529 | biostudies-arrayexpress
Project description:This study used Illumina single-end RNA-sequencing to examine gene expression differences between 2 mouse-derived pancreatic stellate cell lines (PSC4, PSC5) grown either in 2D monolayers, as 3D quiescent cultures, or as 3D activated transwell cocultures with 2 mouse tumor-derived pancreatic ductal organoid lines (T4, T5). Mouse pancreatic stellate cell (PSC) lines were derived from the pancreata of wild-type C57Bl/6J mice. Mouse tumor organoid lines were derived from mouse pancreata containing pancreatic ductal adenocarcinoma (PDAC) from the KrasLSL-G12D; Trp53LSL-R162H; Pdx1-Cre mouse model. We measured genes differentially expressed among 2D, quiescent, and 3D activated PSCs that may reflect the expression changes of heterogeneous CAF population in pancreatic tumors.
2017-02-03 | GSE93313 | GEO
Project description:Analysis of 2D (transwell) and 3D (collagen type I) cultured MDCK cells and HGF (a MAPK activator). Traditional 2D cultures are fast and inexpensive but do no mimic natural niche/cell environment as well as the more laborious and costly 3D-cultures. 3D cultures, arguably, are better models for the study of developmental processes, such as tubulogenesis. Epithelial organs (such as kidney) develop via tubulogenesis, a process, at least in part, regulated by MAPK signaling. Therefore, 2D and 3D cells also treated with HGF plus MAPK inhibitors. Results provide insights into differential response to HGF-induced tubulogenesis depending on cell culture conditions (2D vs. 3D). 29 samples total: 2D and 3D control (untreated) in quadruplicate, respectively; 2D and 3D + HGF in quadruplicate, respectively; 2D + HGF + PD-98059 in quadruplicate; 3D + HGF + PD-98059 in triplicate; 2D + HGF + U0126 in triplicate; and 3D + HGF + U0126 in triplicate.
2014-03-31 | E-GEOD-49518 | biostudies-arrayexpress
Project description:2D culture as a model for drug testing often turns to be clinically futile. Therefore, 3D cultures (3Ds) show potential to better model responses to drugs observed in vivo. In preliminary studies, using melanoma (B16F10) and renal (RenCa) cancer, we confirmed that 3Ds better mimics the tumor microenvironment. Here, we evaluate how the proposed 3D mode of culture affects tumor cell susceptibility to anti-cancer drugs, which have distinct mechanisms of action (everolimus, doxorubicin, cisplatin). Melanoma spheroids show higher resistance to all used drugs, as compared to 2D. In RCC model, such modulation was only observed for doxorubicin treatment. As drug distribution was not affected by the 3D shape, we assessed the expression of MDR1 and mTor. Upregulation of MDR1 in RCC spheroids was observed, in contrast to melanoma. In both models mTor expression was not affected by the 3D cultures. By NGS, 10 genes related with metabolism of xenobiotics by cytochrome p450 were deregulated in renal cancer spheroids; 9 of them were later confirmed in melanoma model. The differences between 3D models and classical 2D cultures point to the potential to uncover new non canonical mechanisms to explain drug resistance set by the tumor in its microenvironment.
2022-01-20 | GSE190296 | GEO
Project description:In vitro cell cultures are frequently used to define the molecular background of drug resistance. In this study our major aim was to compare the gene expression signature of 2D and 3D cultured BRAFV600E mutant melanoma cell lines. We successfully developed BRAF-drug resistant cell lines from paired primary/metastatic melanoma cell lines in both 2D and 3D in vitro cultures. Using Affymetrix Human Gene 1.0 ST arrays, we determined the gene expression pattern of all cell lines. Our study highlights gene expression alterations that might help to understand the development of acquired resistance in melanoma cells in tumour tissue.
2020-06-30 | GSE148638 | GEO
Project description:The development of more complex but reliable systems for compound testing in a pharmaceutical context is a challenging task to date. Three-dimensional (3D), organ mimetic cell culture is aiming to become an alternative to common two-dimensional (2D) cell culture or animal testing in that field. We developed a biocompatible 3D cell culture environment for a hepatocellular carcinoma (HCC) model that enables cellular maintenance in a polycarbonate scaffold structure. Albumin, regarded as a differentiation marker, was elevated in statically 3D cultivated HepG2 cells. Expression of HCC tumor marker alpha-fetoprotein (AFP) was reduced compared to immunofluorescence stainings of 2D cultivated cells. Remarkably, expression of cytokeratin and pathophysiologically relevant beta-1 integrin (ITGB1) was found enhanced in nonperfused 3D cell culture. Changes in gene expression induced by the 3D cultivation environment were investigated using Ingenuity Pathway Analysis (IPA). Our findings revealed involvement of the insulin growth factor (IGF) signaling pathway in upregulation of matrix metalloproteinases (MMP) and ITGB1. The experimental data indicate a more differentiated state in 3D cultivated HepG2 cells than in the respective 2D experiments. Hence, scaffold-supported 3D cultivation of HepG2 cells may lead to a gain of information valuable for both drug testing and cancer research. HepG2 cells were cultivated for five days under 2D and 3D statical and perfused conditions. Cultivation was started with 0.25x10^6 cells in 2D and with 1x10^6 vital cells for the 3D experiments. The day of seeding was defined as d0. The groups were classified as follows: 2D, i.e., monolayer cultures, 3D, i.e., statical 3D cultures and BR, which denotes perfused 3D culture of HepG2 cells. The perfusable bioreactor system was operated using a peristaltic pump. It houses the MatriGrid, a polycarbonate-based microporous cellular support. For 3D static cultivation, cell-inoculated MatriGrids were placed in wells of a 24-well plate. Microarray experiments of three 2D (i.e., control), three 3D statically and three actively perfused 3D cultivations were performed at SIRS-Lab GmbH (SIRS-Lab GmbH, Jena, Germany) according to the manufacturer's instructions (Illumina, San Diego, CA). Altogether, 9 RNA samples of hepatocyte cultures and an internal control RNA were hybridized on two HumanHT-12 v4 Expression BeadChips.
2012-11-01 | E-GEOD-41962 | biostudies-arrayexpress
Project description:The aim of this study is to compare the transcriptomic profiles of various ex vivo models of pancreatic cancer. First, primary tumours and their corresponding xenografts in nude mice were analysed by RNA-seq. Monocultures of pancreatic cancer cells derived from the xenografts were then prepared as 2D monolayers, Matrigel-embedded organoids, spheres in suspension and 3D cultures in self-assembling peptide amphiphile (PA) hydrogels. Seven-day cultures were then analysed by RNA-seq. The results suggest that all ex vivo monocultures retain patient-specific transcriptional profiles, especially cancer stem cell signatures, while being deficient in the expression of stromal components such as the core matrisome. Correlations with the primary tumours were generally higher in PA hydrogels than organoids. Biased gene expression signatures were identified in certain models. This is the first study to explore the transcriptomic signatures of four different ex vivo models matched to their primary tumours of origin.
2021-07-03 | GSE139184 | GEO
Project description:Expression data from HepG2 cultured in 2D monolayer cultures and 3D Matrigel cultures We performed this study to understand differences in gene expression profiles of 2D and 3D HepG2 cultures
2019-08-31 | GSE128763 | GEO
Project description:In our study, we aimed to investigate adaptive processes of tumors under treatment and therefore, generated PDAC patient-derived organoids (PDOs) and 2D cell lines before and after chemotherapy. We enrolled a patient with borderline resectable PDAC who received neoadjuvant FOLFIRINOX. Endoscopic fine needle (pre-FFX) and surgical biopsies (post-FFX) were used to generate PDOs and 2D cells. Whole exome sequencing (WES) and RNA sequencing data of the pre-FFX and post-FFX organoids were compared in order to evaluate the genetic landscape and PDAC subtypes. Although transcriptional subtyping classified both PDOs as classical PDAC, gene set enrichment analysis (GSEA) revealed a reduced pathway activation linked to the basal-like phenotype such as KRAS signaling in the post-FFX organoids. WES did not show major differences in the genetic landscape of the tumor pre- and post-FFX induction suggesting a plasticity process rather than a clonal selection during chemotherapy. 2D cells were subjected to an unbiased automated drug screening of 415 compounds to investigate FFX-induced vulnerabilities. Top targets such as MEK inhibitors were validated manually in the 2D cells and organoids and an increased sensitivity was observed in the post-FFX cells. Thus, integrating functional layers into personalized medicine allows to identify chemotherapy-induced vulnerabilities as potent targeted therapy options in PDAC.
2022-03-09 | GSE193389 | GEO