Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA sequencing (RNA-SEQ) of ER-α36 knockdown by siRNA in cervical cancer cells

ABSTRACT: Estrogen is proven to promote the malignant behaviors of many cancers via its receptors. Estrogen receptor alfa 36(ER-α36) is a newly identified isoform of estrogen receptor alfa （ERα）, which is different from the 66 kDa estrogen receptor alpha (ER-α66).However, the role of ER-α36 in regulating the effects of estrogen and its potential impact on human cervical cancer is poorly understood. In this study, we found that ER-α36 was over-expressed in cervical cancer tissues and elevated ER-α36 expression was associated with poor prognosis in cervical cancer patients. High expression of ER-α36 promotes the proliferation, invasion and metastasis of cervical cancer cells mediated by estrogen, while silencing ER-α36 had the opposite effects. Further research showed that high mobility group A2 (HMGA2) identified as a down-target of ER-α36 in cervical cancer cells. The oncogenic effect of ER-α36 was attenuated after HMGA2 knockdown. In conclusion, high expression of ER-α36 was correlated with a poor prognosis and metastasis in cervical cancer by regulating HMGA2.ER-α36 might serve as a prognostic biomarker and a target for cervical cancer treatment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173120 | GEO | 2021/04/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Oxidative phosphorylation is a metabolic vulnerability of endocrine therapy and palbociclib resistant metastatic breast cancers

Project description:<p>Resistance to endocrine treatments and CDK4/6 inhibitors is considered a near-inevitability in most patients with estrogen receptor positive breast cancers (ER+ BC). By genomic and metabolomics analyses of patients’ tumours, metastasis-derived patient-derived xenografts (PDX) and isogenic cell lines we demonstrate that a fraction of metastatic ER + BC is highly reliant on oxidative phosphorylation (OXPHOS). Treatment by the OXPHOS inhibitor IACS-010759 strongly inhibits tumour growth in multiple endocrine and palbociclib resistant PDX. Mutations in the PIK3CA/AKT1 genes are significantly associated with response to IACS-010759. At the metabolic level, in vivo response to IACS-010759 is associated with decreased levels of metabolites of the glutathione, glycogen and pentose phosphate pathways in treated tumours. In vitro, endocrine and palbociclib resistant cells show increased OXPHOS dependency and increased ROS levels upon IACS-010759 treatment. Finally, in ER+ BC patients, high expression of OXPHOS associated genes predict poor prognosis. In conclusion, these results identify OXPHOS as a promising target for treatment resistant ER+ BC patients.Insert information here such as publication abstract</p>

2023-06-27 | MTBLS3342 | MetaboLights

Link between GRHL2 Motifs and Intratumor Heterogeneity of Cis-Regulatory Elements Results in Poor Outcome in Luminal Breast Cancer: A Single-cell Chromatin Accessibility Analysis

Project description:In breast cancer patients, tumor heterogeneity is associated with prognosis and therapeutic response; however, the epigenetic diversity that exists in primary tumors remains unknown. Using a single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq), we obtained the chromatin accessibility profiles of 12,452 cells from 16 breast cancer patients including 11 luminal, 1 luminal-HER2, 1 HER2+, and 3 triple-negative subtypes. Via this profiling process, tumors were classified into cancer cells and the tumor microenvironment, highlighting the heterogeneity of disease-related pathways including estrogen receptor (ER) signaling. Furthermore, the coexistence of cancer cell clusters with different ER binding motif enrichments was identified in a single ER+ tumor. In a cluster with reduced ER motif enrichment, we identified GRHL2, a transcription factor, as the most enriched motif, and it cooperated with FOXA1 to initiate endocrine resistance. Coaccessibility analysis revealed that GRHL2 binding elements potentially regulate genes associated with endocrine resistance, metastasis, and poor prognosis in patients that received hormonal therapy. Overall, our study suggests that epigenetic heterogeneity could lead to endocrine resistance and poor prognosis in breast cancer patients and it offers a large-scale resource for further cancer research.

2022-03-16 | GSE198639 | GEO

Neurofibromin is an Estrogen Receptor alpha Transcriptional Co-repressor in Breast cancer

Project description:We report that neurofibromin, a tumor suppressor and Ras-GAP (GTPase Activating Protein), is also an estrogen receptor-alpha (ER) transcriptional co-repressor through leucine/isoleucine-rich motifs that are functionally independent of GAP activity. GAP activity, in turn, does not impact ER binding. Consequently, neurofibromin-depletion causes estradiol hypersensitivity and tamoxifen agonism, explaining the poor prognosis associated with neurofibromin-loss in endocrine therapy-treated ER+ breast cancer. Neurofibromin-deficient ER+ breast cancer cells initially retain sensitivity to selective estrogen receptor degraders (SERDs). However, Ras activation does play a role in acquired SERD resistance, which can be reversed upon MEK inhibitor addition, and SERD/MEK inhibitor combinations induce tumor regression. Thus, neurofibromin is a dual repressor for both Ras and ER signaling, and co-targeting may treat neurofibromin-deficient ER+ breast tumors.

2020-02-14 | GSE142479 | GEO

Estrogen-regulated genes predict survival in estrogen receptor and/or progesterone receptor-positive breast cancers

Project description:The prognosis of a patient with Estrogen Receptor (ER) and/or Progesterone Receptor (PR)-positive breast cancer is highly variable. Therefore, we developed a gene-expression based outcome predictor for ER+ and/or PR+ (i.e. Luminal) breast cancer patients using biological properties of the tumors. First, we identified estrogen-regulated genes using the ER+ MCF-7 breast cancer cell line treated with estrogen. The estrogen-induced gene set was then used to hierarchically cluster a training set of 65 ER+ and/or PR+ tumors into 2 group, which showed survival differences (p=0.0004). Next, supervised analyses based upon these two groups was performed and identified 822 genes that optimally defined these two groups, with the poor prognosis Group IIE tumors showing a proliferation signature and high expression of anti-apoptosis genes and the good outcome Group IE showing the high expression of estrogen and GATA3-induced genes. Centroids were created for each group and applied to ER+ and/or PR+ tumors from three published datasets. For all datasets, Kaplan-Meier survival analyses showed a statistically significant difference in Relapse-Free Survival (and Overall) between Group IE and IIE tumors. Multivariate Cox analysis of the largest test dataset also showed that this predictor was adding independent information. This study provides new biological information concerning differences within Luminal/ER+ breast cancers and a means of predicting long term outcomes in ER+ and/or PR+ breast cancer patients. Keywords: other

2005-12-01 | GSE2740 | GEO

The inferred mechanisms for prognostic features of signal transducer and activator of transcription 3 in an ER(+) breast cancer model system

Project description:Abstract Aberrantly expressed signal transducer and activator of transcription 3 (STAT3) predicts poor prognosis primarily in estrogen receptor positive (ER(+)) breast cancers and activated STAT3 is overexpressed in luminal A subtype cells. The mechanisms contributing to the prognosis and/or subtype relevant features of *STAT3* in ER(+) breast cancers are* *through multiple interacting regulatory pathways including STAT3-MYC, STAT3-ER , STAT3-MYC-ER interactions and the direct action of activated STAT3. These results predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance. The inferred crosstalk between ER and STAT3 in regulating their shared target gene-*METAP2* is partially validated in the luminal B breast cancer cell line-MCF7. Taken together, we identify a poor prognosis relevant gene set within the *STAT3* network and a robust one in a subset of patients. *VEGFA*, *ABL1*, *LYN*, *IGF2R* and* STAT3* are suggested therapeutic targets for further study based upon the degree of differential expression in our model. Keywords: STAT3 transcriptional regulatory network, prognosis, tamoxifen resistance, tumorigenesis, breast cancer.

2010-11-04 | GSE24124 | GEO

Tissue Specific Pathways for Estrogen Regulation of Ovarian Cancer Growth and Metastasis

Project description:Menopausal estrogen (E2) replacement therapy increases the risk of estrogen receptor (ER)-positive epithelial ovarian cancers (EOC). Whether E2 is tumorigenic or promotes expansion of undiagnosed pre-existing disease is unknown. To determine E2 effects on tumor promotion, we developed an intraperitoneal mouse xenograft model using ZsGreen fluorescent ER- 2008 and ER+ PEO4 human EOC cells. Tumor growth was quantified by in vivo fluorescent imaging. In ER+ tumors, E2 significantly increased size, induced progesterone receptors, and promoted lymph node metastasis, confirming that ER are functional and foster aggressiveness. Laser captured human EOC cells from ER- and ER+ xenografted tumors were profiled for expression of E2-regulated genes. Three classes of E-regulated EOC genes were defined, but less than 10% were shared with E-regulated breast cancer genes. Since breast cancer selective ER modulators (SERM) are therapeutically ineffective in EOC, we suggest that our EOC-specific E-regulated genes can assist pharmacologic discovery of ovarian targeted SERM. 15 samples were included in this experiment with a 2x2 factorial design with 2 different cell lines (2008 and PEO4) and 2 different hormone treatments (E for Estrogen and C for Placebo Control) and 4 replicates per treatment. 1 sample was excluded (a replicate of PEO4 with C treatment) because of poor quality.

2011-05-13 | E-GEOD-22600 | biostudies-arrayexpress

Transcription profiling of mouse model of estrogen receptor positive breast cancer lymph node metastasis.

Project description:The lymphatic system is a common avenue for the spread of breast cancer cells and dissemination through it occurs at least as frequently as hematogenous metastasis. Approximately 75% of primary breast cancers are estrogen receptor (ER) positive and the majority of these maintain receptor expression as lymph node (LN) metastases. However, it is unknown if ER function is equivalent in cancer cells growing in the breast and in the LNs. We have developed a model to assess estrogen responsiveness in ER(+) breast tumors and LN metastases. Fluorescent ER(+) MCF-7 tumors were grown in ovariectomized nude mice supplemented with estradiol. Once axillary LN metastasis arose, estradiol was withdrawn (EWD), for 1 or 4 weeks, or continued, to assess estradiol responsiveness. On EWD, proliferation rates fell similarly in tumors and LN metastases. However, estradiol-dependent ER down-regulation and progesterone receptor induction were deficient in LN metastases, indicating that ER-dependent transcriptional function was altered in the LN. Cancer cells from estradiol-treated and EWD primary tumors and matched LN metastases were isolated by laser capture microdissection. Global gene expression profiling identified transcripts that were regulated by the tissue microenvironment, by hormones, or by both. Interestingly, numerous genes that were estradiol regulated in tumors lost estradiol sensitivity or were regulated in the opposite direction by estradiol in LN metastases. We propose that the LN microenvironment alters estradiol signaling and may contribute to local antiestrogen resistance. Experiment Overall Design: 10 samples, including 3 each of estrogen and estrogen withdrawn axillary lymph nodes and 2 each of estrogen and estrogen withdrawn primary mammary gland tumors.

2008-06-11 | E-GEOD-11317 | biostudies-arrayexpress

Gene expression profiling data following TRIM8 knockdown in MCF-7 cells

Project description:Breast cancer (BC) is the most common female malignancies worldwide, and 70% of cases are estrogen receptor α (ERα) positive. In this study, we report that the E3 ubiquitin ligase TRIM8 acts as a novel regulator of ER signaling. TRIM8 is downregulated in BC and is associated with poor prognosis. In addition, the protein level of TRIM8 is negatively correlated with ERα expression. To investigate whether TRIM8 mediated estrogen signaling pathway, we generated a knockdown model of TRIM8 in human MCF7 cells.

2020-08-29 | GSE157109 | GEO

HuR differentially regulates unique subsets of mRNAs in estrogen receptor negative and positive breast cancer

Project description:Analysis of RNA immunoprecipitation of HuR, a RNA binding protein (RBP), in breast cancer cell lines. This approach, utilizing RNA immunoprecipitation hybridized to microarray (RIP-Chip), provides global identification of putative endogenous mRNA targets of different RBPs. HuR is an RBP that binds to the AU-rich (ARE) regions of labile mRNAs, such as proto-oncogenes, facilitating their translation into protein. HuR has been shown to play a role in cancer progression and elevated levels of cytoplasmic HuR directly correlate with increased invasiveness and poor prognosis for many cancers, including those of the breast. We used HuR RIP-Chip as a comprehensive and systematic method to survey breast cancer target genes in both MCF-7 (estrogen receptor positive, ER+) and MDA-MB-231 (estrogen receptor negative, ER-) breast cancer cell lines. We identified unique subsets of HuR associated mRNAs found individually or in both cell types. Two novel HuR targets, CD-9 and CALM-2, were identified and validated by quantitative RT-PCR and biotin pulldown analysis. Our findings reveal that the differential regulation of these two cancer-related genes by HuR was contingent upon the cellular environment. RNA immunoprecipitation of the HuR RNA binding protein by 3A2 antibody and IgG (control) from two human breast cancer cell lines, MCF-7 and MDA-MB-231 .

2010-06-24 | E-GEOD-17820 | biostudies-arrayexpress

Clinical and genomic crosstalk between glucocorticoid receptor and estrogen receptor α in endometrial cancer [RNA-seq]

Project description:Steroid hormone receptors are simultaneously active in many tissues and capable of altering each other's function. Estrogen receptor ɑ (ER) and glucocorticoid receptor (GR) are expressed in the uterus and their ligands have opposing effects on uterine growth. In endometrial tumors expressing high levels of ER, we surprisingly found that expression of GR is associated with poor prognosis. Dexamethasone reduced normal uterine growth in vivo; however, this growth inhibition was abolished in estrogen-induced endometrial hyperplasia. We observed low genomic binding site overlap when ER and GR are induced with their respective ligands; however, upon simultaneous induction they co-occupy more sites. GR binding is significantly altered by estradiol with GR recruited to ER bound loci that become more accessible upon estradiol induction. Gene expression responses to co-treatment were more similar to estradiol, but with novel regulated genes. Our results suggest phenotypic and molecular interplay between ER and GR in endometrial cancer.

2018-03-13 | GSE109892 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data