scholarly journals Perfusion Flow Enhances Viability and Migratory Phenotype in 3D-Cultured Breast Cancer Cells

2021 ◽  
Author(s):  
Alice Pasini ◽  
Joseph Lovecchio ◽  
Marilisa Cortesi ◽  
Chiara Liverani ◽  
Chiara Spadazzi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Culture ◽  
Cancer Cells ◽  
Cancer Cell ◽  
3D Cell Culture ◽  
Integrated Approach ◽  
Cell Distribution ◽  
Conventional Culture ◽  
Culture Models

AbstractConventional 2D cell culture, a traditional tool in pre-clinical studies, can hardly be regarded as a representation of a natural cell microenvironment. In this respect, it might result in altered cellular behaviors. To overcome such a limitation, different approaches have been tested to conduct more representative in vitro studies. In particular, the use of 3D cell culture introduces variables, such as cell-cell and cell-extracellular matrix interactions; cell features such as survival, proliferation and migration are consequently influenced. For an example, an enhanced drug resistance and increased invasiveness are shown by cancer cells when cultured in 3D versus 2D conventional culture models. In this setting however, non-uniform cell distribution and biological behaviors appear throughout the scaffold, due to reduced diffusion of oxygen and nutrients. Perfusion in bioreactor systems can be used to improve medium transport. In this line of reasoning, this study proposes a breast cancer cell culture model sustained by an integrated approach that couples a 3D environment and a fluid perfusion. This model improves viability and uniformness of cell distribution, while inducing morphological, functional and molecular cancer cell remodeling.

Length vs. stiffness: which plays a dominant role in the cellular uptake of fructose-based rod-like micelles by breast cancer cells in 2D and 3D cell culture models?

2018 ◽  
Vol 6 (25) ◽  
pp. 4223-4231 ◽  
Author(s):  
Jiacheng Zhao ◽  
Hongxu Lu ◽  
Yin Yao ◽  
Sylvia Ganda ◽  
Martina H. Stenzel
Keyword(s):  
Breast Cancer ◽  
Cell Culture ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Dominant Role ◽  
3D Cell Culture ◽  
Culture Models ◽  
Nano Rods ◽  
2D And 3D ◽  
Cell Culture Models

Internalization of rod-like micelles by breast cancer cells is significantly affected by the stiffness of nano-rods.

scholarly journals A Unique 3D In Vitro Cellular Invasion Assay

2012 ◽  
Vol 17 (8) ◽  
pp. 1088-1095 ◽  
Author(s):  
Daniela F. Quail ◽  
Tamara J. Maciel ◽  
Kem Rogers ◽  
Lynne M. Postovit
Keyword(s):  
Breast Cancer ◽  
Cell Culture ◽  
Cancer Cell ◽  
3D Cell Culture ◽  
Breast Cancer Cell Lines ◽  
Invasion Assay ◽  
Cell Culture Techniques ◽  
Culture Techniques ◽  
Cellular Invasion

Three-dimensional (3D) cell culture techniques using a bioreactor have been used to co-culture various breast cancer cell lines. Comparisons between 3D co-cultures containing different proportions of breast cancer cell lines have been made with respect to cluster size, cell surface marker distribution, and Ki67 expression. Furthermore, an observed difference in invasion through collagen between co-cultures has been briefly reported. However, these assays have not yet been developed into a quantifiable methodology to assess the effects of drugs and/or microenvironments on cellular invasion. From a cancer perspective, two important aspects of cellular invasion that are often left out of in vitro assays are considerations about the 3D structural heterogeneity of the primary tumor and the ability of cells to migrate in all directions. Accordingly, we have taken advantage of the methodology previously described for 3D cell culture techniques and have developed a 3D invasion assay using cell clusters that can be used to assess the effects of different drugs and treatment conditions on cancer cell invasion. We also describe a novel whole-mount technique that permits fluorescence-based immunolocalization of proteins through the entire tumorsphere, without the need for sectioning. Our assay provides a simple, inexpensive, and physiologically relevant context to study cellular invasion in vitro, in a way that recapitulates an in vivo milieu.

N-hexane Extract and Fraction of Green Tea as Antiproliferation of MCM-B2 Breast Cancer Cells In Vitro

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Lisni Noraida Waruwu ◽  
Maria Bintang ◽  
Bambang Pontjo Priosoeryanto
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Green Tea ◽  
Cancer Cell ◽  
Breast Cancer Cells ◽  
Green Tea Extract ◽  
Hexane Fraction ◽  
Phytochemical Screening ◽  
Tea Extract

Green tea (Camellia sinensis) is one of traditional plants that have the potential as an anticancer. The sample used in this research commercial green tea extract. The purpose of this study was to test the antiproliferation activity of green tea extract on breast cancer cell MCM-B2 in vitro. Green tea extract fractionated using three solvents, ie water, ethanol 70%, and n-hexane. Extract and fraction of green tea water have value Lethality Concentration 50 (LC50) more than 1000 ppm. The fraction of ethanol 70% and n-hexane had an LC50 value of 883.48 ppm and 600.56 ppm, respectively. The results of the phytochemical screening of green tea extract are flavonoids, tannins, and saponins, while the phytochemical screening results of n-hexane fraction are flavonoids and tannins. Antiproliferation activity was tested on breast cancer cells MCM-B2 and normal cells Vero by trypan blue staining method. The highest MCM-B2 cell inhibitory activity was achieved at a concentration of 13000 ppm green tea extract and 1000 ppm of n-hexane fraction, 59% and 59%, respectively. The extract and n-hexane fraction of green tea are not toxic to normal Vero cells characterized by not inhibiting normal cell proliferation. Keywords: antiproliferative, cancer cell MCM-B2, commercial green tea, cytotoxicity

A Novel Triazole Derivative Drug Presenting In Vitro and In Vivo Anticancer Properties

2018 ◽  
Vol 18 (17) ◽  
pp. 1483-1493
Author(s):  
Ricardo Imbroisi Filho ◽  
Daniel T.G. Gonzaga ◽  
Thainá M. Demaria ◽  
João G.B. Leandro ◽  
Dora C.S. Costa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Line ◽  
Cancer Cell ◽  
Cancer Cell Line ◽  
Hepatic Function ◽  
Anticancer Properties ◽  
Mcf 7

Background: Cancer is a major cause of death worldwide, despite many different drugs available to treat the disease. This high mortality rate is largely due to the complexity of the disease, which results from several genetic and epigenetic changes. Therefore, researchers are constantly searching for novel drugs that can target different and multiple aspects of cancer. Experimental: After a screening, we selected one novel molecule, out of ninety-four triazole derivatives, that strongly affects the viability and proliferation of the human breast cancer cell line MCF-7, with minimal effects on non-cancer cells. The drug, named DAN94, induced a dose-dependent decrease in MCF-7 cells viability, with an IC50 of 3.2 ± 0.2 µM. Additionally, DAN94 interfered with mitochondria metabolism promoting reactive oxygen species production, triggering apoptosis and arresting the cancer cells on G1/G0 phase of cell cycle, inhibiting cell proliferation. These effects are not observed when the drug was tested in the non-cancer cell line MCF10A. Using a mouse model with xenograft tumor implants, the drug preventing tumor growth presented no toxicity for the animal and without altering biochemical markers of hepatic function. Results and Conclusion: The novel drug DAN94 is selective for cancer cells, targeting the mitochondrial metabolism, which culminates in the cancer cell death. In the end, DAN94 has been shown to be a promising drug for controlling breast cancer with minimal undesirable effects.

Small Molecular Leads Differentially Active Against HER2 Positive and Triple Negative Breast Cancer Cell Lines

2019 ◽  
Vol 15 (7) ◽  
pp. 738-742 ◽  
Author(s):  
Adnan Badran ◽  
Atia-tul-Wahab ◽  
Sharmeen Fayyaz ◽  
Elias Baydoun ◽  
Muhammad Iqbal Choudhary
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Triple Negative ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Cancer Type

Background:Breast cancer is the most prevalent cancer type in women globally. It is characterized by distinct subtypes depending on different gene expression patterns. Oncogene HER2 is expressed on the surface of cell and is responsible for cell growth regulation. Increase in HER2 receptor protein due to gene amplification, results in aggressive growth, and high metastasis in cancer cells.Methods:The current study evaluates and compares the anti-breast cancer effect of commercially available compounds against HER2 overexpressing BT-474, and triple negative MDA-MB-231 breast cancer cell lines.Results:Preliminary in vitro cell viability assays on these cell lines identified 6 lead molecules active against breast cancer. Convallatoxin (4), a steroidal lactone glycoside, showed the most potent activity with IC50 values of 0.63 ± 0.56, and 0.69 ± 0.59 µM against BT-474 and MDA-MB-231, respectively, whereas 4-[4-(Trifluoromethyl)-phenoxy] phenol (3) a phenol derivative, and Reserpine (5) an indole alkaloid selectively inhibited the growth of BT-474, and MDA-MB-231 breast cancer cells, respectively.Conclusion:These results exhibited the potential of small molecules in the treatment of HER2 amplified and triple negative breast cancers in vitro.

The α2δ1 subunit of the voltage-gated calcium channel as a potential candidate for breast cancer tumor initial cells biomarker

2021 ◽  
pp. 1-11
Author(s):  
Meng Li ◽  
Wenmin Zhang ◽  
Xiaodan Yang ◽  
Guo An ◽  
Wei Zhao
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Breast Cancer Cells ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Self Renewal

BACKGROUND: The voltage-gated calcium channel subunit alpha 2 delta 1 (α2δ1) is a functional tumor initial cells (TICs) marker for some solid cancer cells. This study aimed to investigate whether α2δ1 can be used as a potential TIC marker for breast cancer cells. METHODS: α2δ1+ and α2δ1- cells were identified and sorted from the breast cancer cell lines MDA-MB-231, MDA-MB-435s and ZR-75-1 by Immunofluorescence (IF) and Fluorescent-activated cell sorting (FACS) analyses. Spheroid formation in vitro and tumorigenesis in NOD/SCID mice were assessed to determine the self-renewal and serial transplantation abilities of these cells. Using a lentivirus infection system for α2δ1 in breast cancer cell lines, we determined the mRNA levels of stemnessassociated genes by quality real-time PCR (qRT-PCR). Boyden chamber and wounding assays were further performed to detect the migration of α2δ1 overexpression cells. Bioinformatics explored the relationship of molecular classification of breast cancer and drug resistance. RESULTS: α2δ1 presents on the cytomembrane of breast cancer cells, with a positive rate of 1.5–3%. The α2δ1+ cells in breast cancer cell lines have a stronger self-renewal ability and tumor initiating properties in vitro and in vivo. Overexpressing α2δ1 successfully enhanced the sphere-forming efficiency, and upregulated the expression of stemness-associated genes, and increased cell migration. However, seldom significant was available between estrogen receptor +/- (ER+/-), progesterone receptor (PR+/-), and Her2+/-. CONCLUSIONS: Breast cancer cells positive for the α2δ1 charactered tumor initiation, and α2δ1 is a potential TIC marker for breast cancer that further promotes the migration.

scholarly journals Osteoblast-Derived Paracrine and Juxtacrine Signals Protect Disseminated Breast Cancer Cells from Stress

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1366
Author(s):  
Russell Hughes ◽  
Xinyue Chen ◽  
Natasha Cowley ◽  
Penelope D. Ottewell ◽  
Rhoda J. Hawkins ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Survival ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Breast Cancer Cells ◽  
Metastatic Breast ◽  
Accessory Cell ◽  
Cancer Cell Survival

Metastatic breast cancer in bone is incurable and there is an urgent need to develop new therapeutic approaches to improve survival. Key to this is understanding the mechanisms governing cancer cell survival and growth in bone, which involves interplay between malignant and accessory cell types. Here, we performed a cellular and molecular comparison of the bone microenvironment in mouse models representing either metastatic indolence or growth, to identify mechanisms regulating cancer cell survival and fate. In vivo, we show that regardless of their fate, breast cancer cells in bone occupy niches rich in osteoblastic cells. As the number of osteoblasts in bone declines, so does the ability to sustain large numbers of breast cancer cells and support metastatic outgrowth. In vitro, osteoblasts protected breast cancer cells from death induced by cell stress and signaling via gap junctions was found to provide important juxtacrine protective mechanisms between osteoblasts and both MDA-MB-231 (TNBC) and MCF7 (ER+) breast cancer cells. Combined with mathematical modelling, these findings indicate that the fate of DTCs is not controlled through the association with specific vessel subtypes. Instead, numbers of osteoblasts dictate availability of protective niches which breast cancer cells can colonize prior to stimulation of metastatic outgrowth.

scholarly journals Conjunctival melanoma and electrochemotherapy: preliminary results using 2D and 3D cell culture models in vitro

2018 ◽  
Vol 97 (4) ◽  
pp. e632-e640 ◽  
Author(s):  
Miltiadis Fiorentzis ◽  
Periklis Katopodis ◽  
Helen Kalirai ◽  
Berthold Seitz ◽  
Arne Viestenz ◽  
...  
Keyword(s):  
Cell Culture ◽  
3D Cell Culture ◽  
Conjunctival Melanoma ◽  
Preliminary Results ◽  
Culture Models ◽  
2D And 3D ◽  
Cell Culture Models

scholarly journals Computational Cancer Cell Models to Guide Precision Breast Cancer Medicine

Genes ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 263 ◽  
Author(s):  
Lijun Cheng ◽  
Abhishek Majumdar ◽  
Daniel Stover ◽  
Shaofeng Wu ◽  
Yaoqin Lu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Practice ◽  
Cancer Cells ◽  
Cancer Cell ◽  
System Model ◽  
The Novel ◽  
Cell Models ◽  
Decision System ◽  
Cancer Medicine

Background: Large-scale screening of drug sensitivity on cancer cell models can mimic in vivo cellular behavior providing wider scope for biological research on cancer. Since the therapeutic effect of a single drug or drug combination depends on the individual patient’s genome characteristics and cancer cells integration reaction, the identification of an effective agent in an in vitro model by using large number of cancer cell models is a promising approach for the development of targeted treatments. Precision cancer medicine is to select the most appropriate treatment or treatments for an individual patient. However, it still lacks the tools to bridge the gap between conventional in vitro cancer cell models and clinical patient response to inhibitors. Methods: An optimal two-layer decision system model is developed to identify the cancer cells that most closely resemble an individual tumor for optimum therapeutic interventions in precision cancer medicine. Accordingly, an optimal grid parameters selection is designed to seek the highest accordance for treatment selection to the patient’s preference for drug response and in vitro cancer cell drug screening. The optimal two-layer decision system model overcomes the challenge of heterology data comparison between the tumor and the cancer cells, as well as between the continual variation of drug responses in vitro and the discrete ones in clinical practice. We simulated the model accuracy using 681 cancer cells’ mRNA and associated 481 drug screenings and validated our results on 315 breast cancer patients drug selection across seven drugs (docetaxel, doxorubicin, fluorouracil, paclitaxel, tamoxifen, cyclophosphamide, lapitinib). Results: Comparing with the real response of a drug in clinical patients, the novel model obtained an overall average accordance over 90.8% across the seven drugs. At the same time, the optimal cancer cells and the associated optimal therapeutic efficacy of cancer drugs are recommended. The novel optimal two-layer decision system model was used on 1097 patients with breast cancer in guiding precision medicine for a recommendation of their optimal cancer cells (30 cancer cells) and associated efficacy of certain cancer drugs. Our model can detect the most similar cancer cells for each individual patient. Conclusion: A successful clinical translation model (optimal two-layer decision system model) was developed to bridge in-vitro basic science to clinical practice in a therapeutic intervention application for the first time. The novel tool kills two birds with one stone. It can help basic science to seek optimal cancer cell models for an individual tumor, while prioritizing clinical drugs’ recommendations in practice. Tool associated platform website: We extended the breast cancer research to 32 more types of cancers across 45 therapy predictions.

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