Long Non-coding RNA NR2F1-AS1 Induces Breast Cancer Dormancy in Lungs by Regulating NR2F1 and ΔNp63
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE149265 | GEO | 2023/04/23
REPOSITORIES: GEO
Similar Datasets
Project description:Long Non-coding RNA NR2F1-AS1 Induces Breast Cancer Dormancy in Lungs by Regulating NR2F1 and ΔNp63
| PRJNA627846 | ENA
Project description:Long non-coding RNA NR2F1 antisense RNA1 (lncRNA NR2F1-AS1) was identified as the main candidate associated to late recurrence in ER-positive breast cancer clinical samples. Gain-of-function of NR2F1-AS1 induced the expression of dormancy-inducers BMP4 and DEC2, and upregulated pluripotency markers NANOG and OCT4. Representative pathways entailed to metastatic events such as HER2/Neu, hypoxia, EMT and inflammatory-response were also found enriched.
2019-12-31 | GSE128600 | GEO
Project description:Long non-coding RNA NR2F1 antisense RNA1 (lncRNA NR2F1-AS1) was identified as the main candidate associated to late recurrence in ER-positive breast cancer clinical samples. Gain-of-function of NR2F1-AS1 induced the expression of dormancy-inducers BMP4 and DEC2, and upregulated pluripotency markers NANOG and OCT4. Representative pathways entailed to metastatic events such as HER2/Neu, hypoxia, EMT and inflammatory-response were also found enriched.
2019-12-31 | GSE128617 | GEO
Project description:It has been suggested that breast cancers are driven and maintained by a cellular subpopulation with stem cell properties. These breast cancer stem cells (BCSCs) mediate metastasis and by virtue of their resistance to radiation and chemotherapy, contribute to relapse. Although several BCSC markers have been described, it is unclear whether these markers identify the same or independent BCSC populations. Based on established breast cancer cell lines, as well as primary tumor samples and xenografts, we show that BCSCs exist in distinct mesenchymal-like (epithelial-mesenchymal transition, EMT) and epithelial-like (mesenchymal-epithelial transition, MET) states characterized by expression of distinct markers, proliferative capacity and invasive characteristics. The gene expression profiles of mesenchymal-like and epithelial-like BCSCs are remarkably similar across the different molecular subtypes of breast cancer and resemble those of distinct basal and luminal stem cells found in the normal breast. We propose that the plasticity of BCSCs allowing them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination and growth at metastatic sites. Breast cancer cells from patient were sorted using flow cytometry to select for cells that were ALDH+. Gene expression profiles of these cells were compared with profiles of ALDH- cells.
2013-11-14 | E-GEOD-52327 | biostudies-arrayexpress
Project description:It has been suggested that breast cancers are driven and maintained by a cellular subpopulation with stem cell properties. These breast cancer stem cells (BCSCs) mediate metastasis and by virtue of their resistance to radiation and chemotherapy, contribute to relapse. Although several BCSC markers have been described, it is unclear whether these markers identify the same or independent BCSC populations. Based on established breast cancer cell lines, as well as primary tumor xenografts, we show that BCSCs exist in distinct mesenchymal-like (epithelial-mesenchymal transition, EMT) and epithelial-like (mesenchymal-epithelial transition, MET) states characterized by expression of distinct markers, proliferative capacity and invasive characteristics. The gene expression profiles of mesenchymal-like and epithelial-like BCSCs are remarkably similar across the different molecular subtypes of breast cancer and resemble those of distinct basal and luminal stem cells found in the normal breast. We propose that the plasticity of BCSCs allowing them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination and growth at metastatic sites. Breast cancer cell lines, primary xenografts and normal breast cells from patient were sorted using flow cytometry to select for cells that were CD24-,CD44+ and ALDH+. Gene expression profiles of CD24-CD44+ cells were compared with non-CD24-CD44+ cells. Gene expression profiles of ALDH+ cells were compared with ALDH- cells.
2013-11-13 | E-GEOD-52262 | biostudies-arrayexpress
Project description:It has been suggested that breast cancers are driven and maintained by a cellular subpopulation with stem cell properties. These breast cancer stem cells (BCSCs) mediate metastasis and by virtue of their resistance to radiation and chemotherapy, contribute to relapse. Although several BCSC markers have been described, it is unclear whether these markers identify the same or independent BCSC populations. Based on established breast cancer cell lines, as well as primary tumor samples and xenografts, we show that BCSCs exist in distinct mesenchymal-like (epithelial-mesenchymal transition, EMT) and epithelial-like (mesenchymal-epithelial transition, MET) states characterized by expression of distinct markers, proliferative capacity and invasive characteristics. The gene expression profiles of mesenchymal-like and epithelial-like BCSCs are remarkably similar across the different molecular subtypes of breast cancer and resemble those of distinct basal and luminal stem cells found in the normal breast. We propose that the plasticity of BCSCs allowing them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination and growth at metastatic sites.
2013-11-14 | GSE52327 | GEO
Project description:It has been suggested that breast cancers are driven and maintained by a cellular subpopulation with stem cell properties. These breast cancer stem cells (BCSCs) mediate metastasis and by virtue of their resistance to radiation and chemotherapy, contribute to relapse. Although several BCSC markers have been described, it is unclear whether these markers identify the same or independent BCSC populations. Based on established breast cancer cell lines, as well as primary tumor xenografts, we show that BCSCs exist in distinct mesenchymal-like (epithelial-mesenchymal transition, EMT) and epithelial-like (mesenchymal-epithelial transition, MET) states characterized by expression of distinct markers, proliferative capacity and invasive characteristics. The gene expression profiles of mesenchymal-like and epithelial-like BCSCs are remarkably similar across the different molecular subtypes of breast cancer and resemble those of distinct basal and luminal stem cells found in the normal breast. We propose that the plasticity of BCSCs allowing them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination and growth at metastatic sites.
2013-11-13 | GSE52262 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE33495: Disrupted transcripitonal network in ΔNp63 AEC tissue model [gene expression] GSE33571: Disrupted transcriptional network in ΔNp63 AEC tissue model [ChIP-Seq] Refer to individual Series
2012-06-17 | E-GEOD-33572 | biostudies-arrayexpress
Project description:Breast cancer stem cells (bCSCs) have been implicated in tumor progression and therapeutic resistance; however, the molecular mechanisms that define bCSC-state are unclear. We have performed concurrent human miRNome-wide gain- and loss-of-function screens to identify switcher miRNAs controling the choice between bCSC self-renewal and differentiation. These analysis enlightened miR-600 whose silencing resulted in bCSC expansion. Mechanistically, miR-600 targets the stearoyl desaturase 1 (SCD1), an enzyme required to produce active, lipid-modified WNT proteins. To explore further miR-600 interactions and WNT-pathway, SUM159 cell line constructions were made and FACS-sorted to select the bCSCs. We compared gene expression profiles from native, miR-600 'over-expressed', miR-600'knock-down' and siSCD1 bCSCs. We showed that in the absence of miR-600, WNT signaling is maintained active and promotes self-renewal, whereas overexpression of miR-600 inhibits the production of active WNT proteins and promotes bCSC differentiation. These findings highlight a miR-600-centered signaling network that governs bCSC-fate decision and influences tumor progression.
2020-08-25 | E-MTAB-5393 | biostudies-arrayexpress
Project description:Background: Breast cancer stem cells (BCSCs) are considered responsible for cancer relapse and drug-resistance. Understanding the identity of BCSCs may open new avenues in breast cancer therapy. Although several discoveries have been made on BCSCs characterization, the factors critical to BCSCs is largely unclear. This study was aimed to determine whether genomic mutation contributes to the acquisition of cancer stem-like phenotype, and to investigate the genetic and transcriptional features of BCSCs. Methods: We detected the potential mutation hotspot regions by using whole genome sequencing on parental cancer cells and derived serial-generation spheroids in increasing order of BCSC frequency, and then performed target deep DNA sequencing in the level of bulk-cell and single-cell. To identify the transcriptional program associated with BCSCs, bulk-cell and single-cell RNA sequencing were performed. Results: By analyzing whole genome sequencing of bulk cells, potential BCSCs associated mutation hotspot regions were detected. Validation by target deep sequencing, in both bulk-cell and single-cell levels, revealed no genetic changes specifically associated with BCSC phenotype. Moreover, single-cell RNA sequencing showed that cancer cells display profound transcriptional variability at the single-cell level that predicts BCSC features. Notably, this transcriptomic variability is enriched in transcription of a number of genes, revealed as BCSC markers. Individuals with breast cancer in a high-risk recurrence group exhibited higher expression of these transcriptomic variabilities, highlighting their clinical significance. Conclusions: Transcriptional variability, not genetic mutations, distinguish BCSCs from non-BCSCs. The identified BCSCs markers can become novel targets for BCSCs.
2018-10-12 | GSE116180 | GEO