Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA182210 | ENA |
REPOSITORIES: ENA
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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: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.
2013-10-30 | GSE42529 | GEO
Project description:The development of high-throughput anticancer drug screening using patient-derived cancer cell lines (PDCs) that maintain their original characteristics in an in vitro three-dimensional (3D) culture system poses a significant challenge for achieving personalized cancer medicine. Because stromal tissue plays a critical role in the composition and maintenance of the cancer microenvironment, in vitro 3D-culture using reconstructed stromal tissues has attracted much attention. Here, a simple and unique in vitro 3D-culture method using heparin and collagen together with fibroblast and endothelial cells to fabricate vascularized 3D-stromal tissues for in vitro culture of PDCs is reported. While co-treatment with bevacizumab, a monoclonal antibody against the vascular endothelial growth factor, and 5-fluorouracil (5-FU) significantly reduced the survival rate of the 3D-cultured PDCs to 30%, separate addition of each drug did not induce such strong cytotoxicity, suggesting the possibility of evaluating the combined effect of anticancer drug and an angiogenesis inhibitor. Surprisingly, drug evaluation using eight PDCs with the 3D-culture method resulted in a drug efficacy concordance rate of 75% with clinical history. The model is expected to be applied to in vitro throughput drug screening for the development of personalized cancer medicine.
2023-12-01 | GSE248026 | GEO
Project description:Background: The main focus of the work was the evaluation of gene expression differences between our established NSCLC 3D cell culture model and the 2D cell culture in regard to the use of our model for drug screening applications. Methods: The non-small cell lung cancer (NSCLC) cell lines Colo699 and A549 were cultivated as monolayer (2D) on cell culture plates for five days or as microtissues (3D) in a hanging-drop system for five and ten days, respectively. Cells and microtissues were harvested and Affymetrix chip analyses were performed with the prior isolated RNA. This was repeated in three independent experiments. Subsequent biostatistical data analyses tested for reproducibility, comparability and significant differences in gene expression profiles between cell lines, experiments and culture methods. Results: The analyses revealed a high interassay correlation within the distinct culture systems, thus proving a high validity of our data. The comparison of 3D versus 2D cell cultures revealed significant differences in RNA expression (979 genes for A549; 1106 genes for Colo699), but the overlap of changes in RNA profiles between the cell lines at the individual gene level was small (149 genes), potentially reflecting overall heterogeneity and their origin, i.e. primary vs pleural effusion. Nevertheless, these RNA expression changes affected most relevant cancer-associated pathways as DNA methylation, cell cycle, rRNA expression and meiosis pathways. Furthermore, the expression differences between 2D and 3D were more evident after longer cultivation time, which supports the hypothesis of cultivation related mechanisms and the usage of long-time cultivation systems. Conclusion: In summary, our data support the need of innovative 3D drug testing systems to close the gap between in-vitro drug screening and in-vivo data. Thus, our 3D NSCLC model might provide a model to address the challenge of microenviroment associated resistance mechanisms, as well as cell-cell interaction related effects.
2018-02-07 | GSE78210 | GEO
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 compare gene expression patterns of MCF7 breast cancer cells when grown as xenografts, in 2D, in polyHEMA coated anchorage independent 3D models and in Matrigel on-top 3D cell culture models. Surprisingly small variations in gene expression patterns were observed between the models indicating that 3D and xenograft are not always that different from 2D cell cultures. Gene expression analysis of MCF7 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-47583 | biostudies-arrayexpress
Project description:Development of a reliable method for human triple-negative breast cancer organotypic culture: Improving imaging and genomic studies in 3D cultures The primary objectives of this study are to develop an advanced three-dimensional cell culture system to better model the tumor microenvironment in triple-negative breast cancer (TNBC), analyze the differences in molecular and cellular behavior between two-dimensional (2D) and 3D cultures, and investigate the impact of these differences on key oncogenic signaling pathways, specifically PI3K and β-catenin.
2024-09-20 | GSE277405 | GEO
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:Obvious advantages of 3D cell culture model are the cell morphology better reflecting tissue cell morphology, the formation of zones of i) active proliferation, ii) quiescent viable cell zone and iii) necrotic zone, as well as formation of nutrition, oxygen and drug gradients better reflecting cellular environment in tissue. Nevertheless the 3D cultures are a model still not resembling full complexity of tumor tissue environment in vivo. Few obvious limitations of 3D cell cultures as cancer research model are the lack of vasculature, host immune response and other cell-cell interactions that occur between cancer and stromal cells in tumors. Recognized advantages and limitations of the 3D cell culture models, however do not suggest directly the areas of cancer biology where 3D models could be applied with highest success. Hence detailed analysis at the molecular level of 2D/3D cell cultures and tumors in vivo are needed to unlock the power of 3D cell culture model. In order to elucidate which biological pathways of cancer cells in tumors are best resembled by the 3D cell culture model we have analyzed whole genome gene expression changes in mouse LLC1 cell line when cultured in 2D or laminin rich ECM 3D system. RNA was isolated 48h after growing in two different cell culture systems.
2015-12-10 | E-GEOD-75863 | biostudies-arrayexpress
Project description:Two-dimensional (2D) monolayer cell cultures are inevitable for drug development to identify drug candidate molecules because they are extremely potent for screening procedures. They can be used to predict in vivo drug responses for a variety of targets and pathways but they also face disadvantages like a lack of cell-to-cell and cell-to-matrix interaction as well as the loss of tissue-specific architecture. To overcome the drawbacks of 2D systems, three-dimensional (3D) cell culture was designed to provide cells a more physiological environment. In light of the multiple benefits of 3D cell culture it is important to note that this cultivation system is not automated and thus not ideal for high throughput screening (HTS) so far. An automated technique is critical for reproducible and standardized in vitro cultivation and it can greatly speed up preclinical research and total drug development. This procedure also requires a quality control system to monitor results and ensure that it is suitable for customers´ applications. For this purpose, the physiological condition of 2 D and 3D cell cultures will be assessed analyzing gene expression profiles of human mesenchymal stem cells (hMSCs). This will be accomplished by extracting total ribonucleic acid (RNA) from 2D and 3D cells followed by Affymetrix microarrays to get transcription profiles. The resulting data from both cell systems can be compared, and changes in cell behaviour caused by the 3D system can be observed.
2022-06-30 | GSE207210 | GEO