Digitalis-like compounds facilitate redifferentiation of non-medullary thyroid cancer through intracellular Ca2+, cFOS and autophagy dependent pathways
Transcriptomics Dataset
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General Information
AccessionGSE79400
TitleDigitalis-like compounds facilitate redifferentiation of non-medullary thyroid cancer through intracellular Ca2+, cFOS and autophagy dependent pathways
DescriptionAbout 20-30%% of patients with metastatic non-medullary thyroid cancer (TC) have persistent or recurrent disease resulting from tumor dedifferentiation. Tumor redifferentiation to restore sensitivity to radioactive iodine therapy is considered a promising strategy to overcome RAI resistance. Autophagy has emerged as an important mechanism in cancer dedifferentiation. Here, we demonstrate the therapeutic potential of autophagy activation for redifferentiation in thyroid cancer cell lines. Five, all digitalis-like compounds, restored hNIS expression and iodine uptake in TC cell lines. Upregulation of hNIS was mediated by intracellular Ca2+ and cFOS activation. Cell proliferation was inhibited by downregulating Akt1 and by induction of autophagy and p21-dependent cell cycle arrest. All together, digitalis-like compounds could represent a promising treatment modality for patients with dedifferentiated TC.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79400
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE79400
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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