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Knockdown of breast cancer master regulators: siRNA targeting PTTG1 and SPDEF in MCF-7 cells

ABSTRACT: Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways The data consists of 18 microarray samples after knocking down PTTG1 and SPDEF in MCF-7 cells. The data have been pre-processed in R using the Beadarray package, and are presented in the form of log2 expression values. The experiment was carried out on Humanv4 BeadChips arrays interrogating 48107 randomly-distributed bead-types, and in this experiment there was a mean of 22 beads per bead-type (Standard Deviation of 5)

ORGANISM(S): Homo sapiens

SUBMITTER: Alves Castro Mauro

PROVIDER: S-ECPF-GEOD-48928 | biostudies-other |

REPOSITORIES: biostudies-other

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Knockdown of breast cancer master regulators: siRNA targeting PTTG1 and SPDEF in MCF-7 cells.

Project description:Genome-wide association studies for breast cancer have identified over 80 different risk regions in the genome, with the FGFR2 locus consistently identified as the most strongly associated locus. However, we know little about the mechanisms by which the FGFR2 locus mediates risk or the pathways in which multiple risk loci may combine to cause disease. Here we use a systems biology approach to elucidate the regulatory networks operating in breast cancer and examine the role of FGFR2 in mediating risk. Using model systems we identify FGFR2-regulated genes and, combining variant set enrichment and eQTL analysis, show that these are preferentially linked to breast cancer risk loci. Our results support the concept that cancer-risk associated genes cluster in pathways The data consists of 18 microarray samples after knocking down PTTG1 and SPDEF in MCF-7 cells. The data have been pre-processed in R using the Beadarray package, and are presented in the form of log2 expression values. The experiment was carried out on Humanv4 BeadChips arrays interrogating 48107 randomly-distributed bead-types, and in this experiment there was a mean of 22 beads per bead-type (Standard Deviation of 5)

2013-07-17 | E-GEOD-48928 | biostudies-arrayexpress

Knockdown of breast cancer master regulators: siRNA targeting PTTG1 and SPDEF in MCF-7 cells.

2013-07-17 | GSE48928 | GEO

Identification of miRNA Master Regulators in Breast Cancer.

Project description:Breast cancer is the neoplasm with the highest number of deaths in women. Although the molecular mechanisms associated with the development of this tumor have been widely described, metastatic disease has a high mortality rate. In recent years, several studies show that microRNAs or miRNAs regulate complex processes in different biological systems including cancer. In the present work, we describe a group of 61 miRNAs consistently over-expressed in breast cancer (BC) samples that regulate the breast cancer transcriptome. By means of data mining from TCGA, miRNA and mRNA sequencing data corresponding to 1091 BC patients and 110 normal adjacent tissues were downloaded and a miRNA-mRNA network was inferred. Calculations of their oncogenic activity demonstrated that they were involved in the regulation of classical cancer pathways such as cell cycle, PI3K-AKT, DNA repair, and k-Ras signaling. Using univariate and multivariate analysis, we found that five of these miRNAs could be used as biomarkers for the prognosis of overall survival. Furthermore, we confirmed the over-expression of two of them in 56 locally advanced BC samples obtained from the histopathological archive of the National Cancer Institute of Mexico, showing concordance with our previous bioinformatic analysis.

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Master regulators of FGFR2 signalling and breast cancer risk.

Project description:The fibroblast growth factor receptor 2 (FGFR2) locus has been consistently identified as a breast cancer risk locus in independent genome-wide association studies. However, the molecular mechanisms underlying FGFR2-mediated risk are still unknown. Using model systems we show that FGFR2-regulated genes are preferentially linked to breast cancer risk loci in expression quantitative trait loci analysis, supporting the concept that risk genes cluster in pathways. Using a network derived from 2,000 transcriptional profiles we identify SPDEF, ER?, FOXA1, GATA3 and PTTG1 as master regulators of fibroblast growth factor receptor 2 signalling, and show that ER? occupancy responds to fibroblast growth factor receptor 2 signalling. Our results indicate that ER?, FOXA1 and GATA3 contribute to the regulation of breast cancer susceptibility genes, which is consistent with the effects of anti-oestrogen treatment in breast cancer prevention, and suggest that fibroblast growth factor receptor 2 signalling has an important role in mediating breast cancer risk.

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Effects of siRNA targeting PRKCD in breast cancer cells

Project description:The aim was to identify genes that were commonly influenced by a siRNA targeting PRKCD in breast cancer cell lines. MDA-MB-468 and BT-549 breast cancer cell lines were treated with control siRNA or siRNA targeting PRKCD. Three samples in each group were analyzed.

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CRIF1 siRNA-Encapsulated PLGA Nanoparticles Suppress Tumor Growth in MCF-7 Human Breast Cancer Cells

Project description:Mitochondrial oxidative phosphorylation (OXPHOS) system dysfunction in cancer cells has been exploited as a target for anti-cancer therapeutic intervention. The downregulation of CR6-interacting factor 1 (CRIF1), an essential mito-ribosomal factor, can impair mitochondrial function in various cell types. In this study, we investigated whether CRIF1 deficiency induced by siRNA and siRNA nanoparticles could suppress MCF-7 breast cancer growth and tumor development, respectively. Our results showed that CRIF1 silencing decreased the assembly of mitochondrial OXPHOS complexes I and II, which induced mitochondrial dysfunction, mitochondrial reactive oxygen species (ROS) production, mitochondrial membrane potential depolarization, and excessive mitochondrial fission. CRIF1 inhibition reduced p53-induced glycolysis and apoptosis regulator (TIGAR) expression, as well as NADPH synthesis, leading to additional increases in ROS production. The downregulation of CRIF1 suppressed cell proliferation and inhibited cell migration through the induction of G0/G1 phase cell cycle arrest in MCF-7 breast cancer cells. Similarly, the intratumoral injection of CRIF1 siRNA-encapsulated PLGA nanoparticles inhibited tumor growth, downregulated the assembly of mitochondrial OXPHOS complexes I and II, and induced the expression of cell cycle protein markers (p53, p21, and p16) in MCF-7 xenograft mice. Thus, the inhibition of mitochondrial OXPHOS protein synthesis through CRIF1 deletion destroyed mitochondrial function, leading to elevated ROS levels and inducing antitumor effects in MCF-7 cells.

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Comprehensive epigenetic analyses reveal master regulators driving lung metastasis of breast cancer.

Project description:The lung metastasis of breast cancer involves complicated regulatory changes driven by chromatin remodelling. However, the epigenetic reprogramming and regulatory mechanisms in lung metastasis of breast cancer remain unclear. Here, we generated and analysed genome-wide profiles of multiple histone modifications (H3K4me3, H3K27ac, H3K27me3, H3K4me1 and H3K9me3), as well as transcriptome data in lung-metastatic and non-lung-metastatic breast cancer cells. Our results showed that the expression changes were correlated with the enrichment of specific histone modifications in promoters and enhancers. Promoter and enhancer reprogramming regulated gene expression in a synergetic way, and involved in multiple important biological processes and pathways. In addition, lots of gained super-enhancers were identified in lung-metastatic cells. We also identified master regulators driving differential gene expression during lung metastasis of breast cancer. We found that the cooperations between regulators were much closer in lung-metastatic cells. Moreover, regulators such as TFAP2C, GTF2I and LMO4 were found to have potential prognostic value for lung metastasis free (LMF) survival of breast cancer. Functional studies motivated by our data analyses uncovered an important role of LMO4 in regulating metastasis. This study provided comprehensive insights into regulatory mechanisms, as well as potential prognostic markers for lung metastasis of breast cancer.

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Elucidating and Pharmacologically Targeting Master Regulators of Stem-like Breast Cancer Cell State

Project description:In many tumors, small subpopulations of stem-like cells can exist in drug-resistant states that are transient and epigenetically governed. Single-cell RNA sequencing provides transcriptional profiles for individual cells which, although sparse and noisy, may provide insight into how they are regulated and how they may be targeted. We took a systems-biology approach to analyzing stem-like cells in breast tumors and predicting how this drug-resistant subpopulation might be sensitized to treatment. Our analysis predicted that the anthelmintic albendazole would reprogram the stem-like population, and a subsequent sensitizing-then-kill experiment in triple negative breast cancer PDX mice revealed a synergistic relationship between albendazole and the first-line treatment, paclitaxel. These results are a proof of concept that it is possible to use, a systems biology approach to identify drugs that can reprogram cell-state, and that tumor subpopulations which have long been considered intractable may be forced into a sensitive state.

2024-06-05 | GSE226329 | GEO

Double gene siRNA knockdown of mutant p53 and TNF induces apoptosis in triple-negative breast cancer cells.

Project description:Apoptosis is the major downregulated pathway in cancer. Simultaneous inhibition using specific small interfering RNA (siRNA) of two key player genes, p53 and TNF, is an interesting and feasible strategy when it comes to investigating various molecular pathways and biological processes in triple-negative breast cancer (TNBC), which is one of the most aggressive and therapeutically unresponsive forms of breast cancers. Our present research focuses on evaluating the impact of double p53-siRNA and TNF-siRNA knockdown at a cellular level, and also evaluating cell proliferation, apoptosis, induction of autophagy, and gene expression by using reverse transcription polymerase chain reaction array approaches. Simultaneous inhibition of p53 and TNF in Hs578T TNBC human cell line revealed a panel of up- and downregulated genes involved in apoptosis. Furthermore, the effects of double gene knockdown were validated in a second TNBC cell line, MDA-MB-231, by using reverse transcription polymerase chain reaction TaqMan assay. All our findings help in understanding the functional mechanisms of extrinsic apoptosis, cell signaling pathways, and the mechanisms involved in tumor cell survival, growth, and death in TNBC.

| S-EPMC5113913 | biostudies-literature

Gene expression data from human breast cancer MCF-7 cells treated with siRNA targeting OCT1

Project description:To evaluate the effect of OCT1 in breast cancer cells, expression of OCT1 was knocked down in MCF-7 cells by small interfering RNA (siRNA). Microarray analysis was performed to analyze gene expression profiles of these cells.

2021-10-25 | GSE179241 | GEO

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