SynthesisCancer research2009
GEMS (Gene Expression MetaSignatures), a Web resource for querying meta-analysis of expression microarray datasets: 17beta-estradiol in MCF-7 cells.
Synthesis in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 5 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- A data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.PloS one · 2013Pooled it
- Meta-analysis of estrogen response in MCF-7 distinguishes early target genes involved in signaling and cell proliferation from later target genes involved in cell cycle and DNA repair.BMC systems biology · 2011Pooled it
- Prioritizing genes associated with prostate cancer development.BMC cancer · 2010Pooled it
- Meta-analysis of archived DNA microarrays identifies genes regulated by hypoxia and involved in a metastatic phenotype in cancer cells.BMC cancer · 2010Pooled it
- Housekeeping genes in prostate tumorigenesis.International journal of cancer · 2009Pooled it
- CHRNA5 belongs to the secondary estrogen signaling network exhibiting prognostic significance in breast cancer.Cellular oncology (Dordrecht, Netherlands) · 2021Article
- Article
- Selecting suitable reference genes for qPCR normalization: a comprehensive analysis in MCF-7 breast cancer cell line.BMC molecular and cell biology · 2020Article
- Active Estrogen Receptor-alpha Signaling in Ovarian Cancer Models and Clinical Specimens.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Information-dependent enrichment analysis reveals time-dependent transcriptional regulation of the estrogen pathway of toxicity.Archives of toxicology · 2017Article
- GEN3VA: aggregation and analysis of gene expression signatures from related studies.BMC bioinformatics · 2016Article
- Genetic variability in a frozen batch of MCF-7 cells invisible in routine authentication affecting cell function.Scientific reports · 2016Article
- Moving Toward Integrating Gene Expression Profiling Into High-Throughput Testing: A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium.Toxicological sciences : an official journal of the Society of Toxicology · 2016Article
- The human toxome project.ALTEX · 2015Article
- AR collaborates with ERα in aromatase inhibitor-resistant breast cancer.Breast cancer research and treatment · 2014Article
- Identification of miR-26 as a key mediator of estrogen stimulated cell proliferation by targeting CHD1, GREB1 and KPNA2.Breast cancer research : BCR · 2014Article
- Invasive lobular carcinoma cell lines are characterized by unique estrogen-mediated gene expression patterns and altered tamoxifen response.Cancer research · 2014Article
- Transcriptomic analysis identifies gene networks regulated by estrogen receptor α (ERα) and ERβ that control distinct effects of different botanical estrogens.Nuclear receptor signaling · 2014Article
- Article
- TIMP1 overexpression mediates resistance of MCF-7 human breast cancer cells to fulvestrant and down-regulates progesterone receptor expression.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
With large amounts of public expression microrray data being generated by multiple laboratories, it is a significant task for the bench researcher to routinely identify available datasets, and then to evaluate the collective evidence across these datasets for regulation of a specific gene in a given system. 17beta-Estradiol stimulation of MCF-7 cells is a widely used model in the growth of breast cancer. Although myriad independent studies have profiled the global effects of this hormone on gene expression in these cells, disparate experimental variables and the limited power of the individual studies have combined to restrict the agreement between them as to the specific gene expression signature elicited by this hormone. To address these issues, we have developed a freely accessible Web resource, Gene Expression MetaSignatures (GEMS) that provides the user a consensus for each gene in the system. We conducted a weighted meta-analysis encompassing over 13,000 genes across 10 independent published datasets addressing the effect of 17beta-estradiol on MCF-7 cells at early (3-4 hours) and late (24 hours) time points. In a literature survey of 58 genes previously shown to be regulated by 17beta-estradiol in MCF-7 cells, the meta-analysis combined the statistical power of the underlying datasets to call regulation of these genes with nearly 85% accuracy (false discovery rate-corrected P < 0.05). We anticipate that with future expression microarray dataset contributions from investigators, GEMS will evolve into an important resource for the cancer and nuclear receptor signaling communities.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.