Benign MCF10A Cells Research Articles

Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics.

MotivationMotions of transmembrane receptors on cancer cell surfaces can reveal biophysical features of the cancer cells, thus providing a method for characterizing cancer cell phenotypes. While conventional analysis of receptor motions in the cell membrane mostly relies on the mean-squared displacement plots, much information is lost when producing these plots from the trajectories. Here we employ deep learning to classify breast cancer cell types based on the trajectories of epidermal growth factor receptor (EGFR). Our model is an artificial neural network trained on the EGFR motions acquired from six breast cancer cell lines of varying invasiveness and receptor status: MCF7 (hormone receptor positive), BT474 (HER2-positive), SKBR3 (HER2-positive), MDA-MB-468 (triple negative, TN), MDA-MB-231 (TN) and BT549 (TN).ResultsThe model successfully classified the trajectories within individual cell lines with 83% accuracy and predicted receptor status with 85% accuracy. To further validate the method, epithelial–mesenchymal transition (EMT) was induced in benign MCF10A cells, noninvasive MCF7 cancer cells and highly invasive MDA-MB-231 cancer cells, and EGFR trajectories from these cells were tested. As expected, after EMT induction, both MCF10A and MCF7 cells showed higher rates of classification as TN cells, but not the MDA-MB-231 cells. Whereas deep learning-based cancer cell classifications are primarily based on the optical transmission images of cell morphology and the fluorescence images of cell organelles or cytoskeletal structures, here we demonstrated an alternative way to classify cancer cells using a dynamic, biophysical feature that is readily accessible.Availability and implementationA python implementation of deep learning-based classification can be found at https://github.com/soonwoohong/Deep-learning-for-EGFR-trajectory-classification.Supplementary information Supplementary data are available at Bioinformatics online.

Novel ferrocenyl pyrazoles inhibit breast cancer cell viability via induction of apoptosis and inhibition of PI3K/Akt and ERK1/2 signaling

Despite the advances in early detection and targeted therapies, chemotherapy is still of vital importance in breast cancer treatment. However, development of drug resistance and serious side effects limits their usage. Thus, there is an urgent need for safer and more effective agents against breast cancer. We have previously described the synthesis of a number of pyrazole derivatives, and in the current study, we have investigated the effects of two different ferrocenyl pyrazole (FP) derivates, 5-ferrocenyl-1-phenyl-1H-pyrazole (FP-Ph) and 5-ferrocenyl-1H-pyrazole (FP-H), on breast cancer cells. First, we investigated the effects of both FPs on cell viability and induction of cell death in breast cancer cells and benign MCF-10A cells by XTT and DNA fragmentation assays, respectively. Morphological changes in human breast cancer cells after FPs treatment were detected by both phase contrast microscope and atomic force microscopy (AFM). Then, we tested whether FPs exert their cytotoxic effect through inhibiting PI3K/Akt and/or ERK1/2 signaling pathways by using specific inhibitors. Both FPs induced cytotoxicity in a time and concentration-dependent manner in breast cancer cells; however, MCF-10A benign breast epithelial cells were much less susceptible to the cytotoxic effect of both FPs. FPs inhibited both PI3K/Akt and ERK 1/2 signaling pathways in breast cancer cells. The ultra structure images of MCF-7 cells by AFM showed that the cell surface was smooth in untreated cells, but it was rough with protrusions in treated cells. Both FPs induced apoptotic cell death in MDA-MB-231 cells; however, necrotic cell death was induced in caspase-3 lack MCF-7 cells, which implies that the synthesized FPs may induce apoptosis through caspase-3 dependent mechanism. In summary, these results suggest that FPs might be promising agents for the breast cancer therapy.

Differential gene expression of Wnt signaling pathway in benign, premalignant, and malignant human breast epithelial cells

To gain insight into the role of gene expression alterations in breast cancer progression, we conducted a comprehensive gene expression analysis of a series of cell lines derived from MCF10A, which include benign MCF10A cells, premalignant AT, and malignant CA1a tumor cells. We analyzed gene expression variation using the Agilent Human Genome Oligo Microarray with the goal of identifying gene-specific expression change events. In addition to a previously noted overexpression in oncogene MDM2, HRAS, and PCNA, our studies identified overexpression of Wnt signaling pathway in malignant breast cell lines. The Kaplan-Meier plot showed that high c-Myc expression in breast cancer was associated with tumor progression and the patient's poor survival. This study showed that the Wnt pathway has further provided a basis for the development of potential biomarker for breast cancer prognosis.

Nuclear transport receptor karyopherin-α2 promotes malignant breast cancer phenotypes in vitro

Tumorigenesis and tumor progression are associated with dysfunction of the nuclear transport machinery at the level of import and export receptors (karyopherins). Recent studies have shown that the nuclear import factor karyopherin-α2 (KPNA2) is a novel prognostic marker for poor prognosis in human breast cancer. Based on the well-defined hallmarks of cancer progression, we performed a detailed in vitro characterization of the phenotypic effects caused by KPNA2 overexpression and KPNA2 silencing in benign and malignant human breast cells. KPNA2 overexpression clearly increased proliferation of MCF7 tumor cells and further led to a reduction of cell-matrix adhesion in benign MCF10A cells, whereas cell migration was significantly increased (P<0.0001) in both tumor models. Remarkably, these individual effects of KPNA2 overexpression on proliferation, cell-matrix adhesion and migration resulted in an increased colony spreading of benign MCF10A breast cells and malignant MCF7 tumor cells (P<0.001), which is a hallmark of cancer progression. Conversely, RNA interference-mediated KPNA2 silencing caused a complete inhibition of MCF7 tumor cell proliferation and migration (P<0.0001). In addition, in these experiments apoptosis was increased (P<0.05) and formation of tumor cell colonies was reduced (P<0.01). Thus, KPNA2 overexpression provoked increased aggressiveness of malignant MCF7 breast tumor cells and induced a shift in benign MCF10A breast cells toward a malignant breast cancer phenotype. In conclusion, we demonstrate for the first time in experimental tumor models that forced KPNA2 expression drives malignant features relevant for breast cancer progression, while its silencing is required for the remission of those progressive phenotypes. This study gives clear evidence that KPNA2 acts as a novel oncogenic factor in human breast cancer, in vitro.

Proteomic profiling of lipid rafts in a human breast cancer model of tumorigenic progression

Tumor biomarkers assist in the early detection of cancer, act as therapeutic targets for intervention, and function as diagnostic indicators for the evaluation of therapeutic responses. To identify novel human breast cancer biomarkers, we have analyzed the protein content of lipid rafts isolated from a series of human mammary epithelial cell lines with increasing tumorigenic potential. Since lipid rafts function as platforms for protein interaction critical to several biological processes, we hypothesized that the abundance of proteins associated with proliferation, invasion and metastasis would be dysregulated in highly transformed cells. For this purpose, the MCF10A epithelial lineage, which include benign MCF10A cells, premalignant AT and TG3B cells, and malignant CA1a tumor cells, was utilized. Detergent-resistant membranes were isolated from each line and proteins were identified and relatively quantitated using iTRAQ™ reagents and tandem mass spectrometry. 57 proteins were identified, and 1667 peptide identifications, mapping to 49 proteins, contained sufficient information for semi-quantitative analysis. When comparing malignant to benign cells, we observed consistent alterations in groups of proteins, such as a 5.7-fold average decrease in G protein content (n=5), 2.7-fold decrease in glycosylphosphatidylinositol-linked proteins (n=7) and 3.3-fold increase in intermediate filaments (n=9). Several of the identified proteins, including caveolin-1, filamin A, keratins 5, 6 and 17, and vimentin, are bona fide or candidate biomarkers in clinical studies, underscoring the usefulness of the MCF10A series as a model to better understand the biological mechanisms underlying cancer progression.

Rapamycin sensitizes Akt inhibition in malignant human breast epithelial cells

Akt and mTOR are therapeutic targets for the treatment of cancer. The effects of inhibiting mTOR, with rapamycin, and Akt, with A-443654, concurrently, on cell morphology, cell proliferation, the cell cycle, and apoptosis were examined using the benign MCF10A and malignant MCF10CA1a human breast epithelial cells. Rapamycin and A-443654 in combination produced the greatest morphological changes and inhibited cell proliferation by G2/M arrest. Rapamycin and A-443654 in combination induced apoptosis at earlier times and at lower A-443654 concentrations in MCF10CA1a tumor cells than in the benign MCF10A cells. Rapamycin and A-443654 increased p53 and p15 INK4B protein levels, decreased anti-apoptotic Bcl-2 levels, and increased Bad levels in the MCF10CA1a tumor cells by ∼5-fold. These results suggest that the combined inhibition of Akt and mTOR may have beneficial therapeutic and safety margin effects.

Proteomic and phosphoproteomic alterations in benign, premalignant and tumor human breast epithelial cells and xenograft lesions: Biomarkers of progression

The MCF10A human breast epithelial cell lineage includes the benign MCF10A cells, premalignant cells (MCF10AT, MCF10ATG3B) and malignant MCF10CA1a tumor cells. The premalignant and tumor cells recapitulate the progressive alterations associated with the temporal development of PBD and carcinoma. Ras protein levels were elevated by 6.9-, 22.4- and 32.2-fold in 10AT, 10ATG3B and 10CA1a cells, respectively, relative to 10A cells. K-Ras was not detected, N-Ras levels were unchanged; Rac and Rho levels increased in 10CA1a tumor cells. Phospho-phosphatidylinositol 3-kinase, phosphoinositide-dependent protein kinase 1 (PDK1), phospho-PDK1, phospho-eukaryotic translation initiation factor 4E (eIF4E) and phospho-eukaryotic initiation factor 4E binding protein 1 (4E-BP1) levels progressively increased in the cell lineage, with the greatest increase monitored in 10CA1a tumor cells. Phospho Ser 473 and Thr 408 Akt levels increased 10.2- and 136-fold in 10CA1a cells, respectively, relative to 10A cells. Phospho-p70S6 kinase (p70S6K) increased >2-fold in 10CA1a cells, relative to 10A cells. Immunohistochemistry confirmed Ras, phospho-Akt and phospho-p70S6K (Thr 421/ Ser 424) expression in lesions arising from premalignant and tumor cells. FOXO 1, phospho-FOXO 1 and phospho-FOXO 4 were significantly elevated in 10ATG3B premalignant and 10CA1a tumor cells. Phospho-FOXO 3a was progressively elevated, with the greatest levels detected in 10CA1a tumor cells. Immunohistochemistry revealed that phospho-FOXO 1, 3a and 4 staining was less in benign lesions, but elevated in advanced 10ATG3B and malignant 10CA1a lesions, showing a correspondence between the cells and lesions. Hence, phospho-Akt and phospho-FOXO 1, 3a and 4 merit consideration as biomarkers of tumorigenic risk from hyperplastic breast tissue.

Retinoids suppress premalignant MCF10AT but not malignant MCF10CA1a breast epithelial cells in vivo. Role of retinoic acid receptor β2 expression

Recently we found that retinoic acid receptors (α, β, γ) and retinoid X receptors (α, β, γ) are variably expressed in MCF10A model of breast cancer development and progression. Here we employed this model to assess both in vitro and in vivo sensitivity of cells to retinoids and the role of RARβ2 in mediating the antitumor potential of retinoids. In vitro, we found that transformation of the benign MCF10A cells into premalignant MCF10AT and malignant MCF10CA1a cells increased their sensitivity to 4-(Hydroxyphenyl)retinamide (4-HPR) and all- trans-retinoic acid (atRA) but not to 9- cis-retinoic acid (9cRA) and LGD1069 and this was associated with loss of induction of RARβ2 by retinoids. RARβ2 expression in premalignant MCF10AT cells decreased their proliferating activity and increased their sensitivity to atRA. In vivo, when transplanted into the mammary fat pads of nude mice, MCF10A cells did not grow, MCF10AT cells formed slow-growing tumor nodules, and MCF10CA1a cells were highly malignant, grew quickly and infiltrated the surrounding tissues. Of the retinoids used, only 4-HPR suppressed the growth of slow-growing hyperplastic and premalignant MCF10AT but not of the malignant MCF10CA1a tumor nodules. These data may have clinical implication in selecting women with hyperplastic and premalignant breast lesions that may benefit the most from clinical trials with retinoids.

Breast cancer progression in MCF10A series of cell lines is associated with alterations in retinoic acid and retinoid X receptors and with differential response to retinoids.

In most breast carcinomas and in breast cancer cell lines, retinoic acid receptor beta (RARbeta) is lost or down-regulated, whereas retinoic acid receptor alpha and gamma (RARalpha, gamma) and retinoid X receptors (RXRalpha, beta, gamma) are variably expressed. Little is known about alterations of the above receptors in hyperplastic and premalignant stages of breast cancer development. In this study, we employed the MCF10A series of breast epithelial cell lines (the parental and benign MCF10A, premalignant MCF10AT, and malignant MCF10CA1a) to assess whether in the course of their malignant transformation specific alterations in RARalpha, beta, gamma and RXRalpha, beta, gamma expression occur and whether they may affect the sensitivity of cells to retinoids. Malignant properties of the above cell lines were estimated by the nude mice xenograft transplantation assay. Among the above receptors most significant alterations occurred in RARbeta2, which was detected in the normal breast epithelial cells both, at mRNA and protein levels, but expressed in the MCF10A cell lines at mRNA level only. The transformation of benign MCF10A cells into premalignant MCF10AT and malignant MCF10CA1a was also associated with increase in RARalpha, RARgamma, RXRalpha, and RXRbeta proteins expression. All-trans retinoic acid (atRA), 9-cis retinoic acid (9cRA), and 4-(hydroxyphenyl) retinamide (4-HPR) induced RARbeta2 protein expression exclusively in the benign MCF10A cells and the former two retinoids, mRNA expression in MCF10A and MCF10AT cells, but not in malignant, MCF10CA1a cells, suggesting that the loss of inducible RARbeta expression is associated with the progression and malignant transformation of MCF10A cells. Retinoids also variable decreased the RARalpha, RARgamma and RXRalpha protein expression preferentially in the premalignant and malignant, but not in benign MCF10A cells. Among the above retinoids, 4-HPR was most efficacious in inhibiting the growth of the three cell lines and this apparently was not dependent on the levels of the RARbeta2 transcriptional activation. Thus, our data support the hypothesis that breast epithelial cells in the course of their progression and malignant transformation may differentially respond to retinoids and that not only RARbeta, but RARalpha, gamma and/or RXRalpha, beta may also serve as potential targets for retinoids in breast cancer prevention and therapy trials.