NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE202773 Query DataSets for GSE202773
Status Public on Nov 09, 2023
Title Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (PDX RNA-Seq)
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. We found that mesenchymal TNBCs are more similar to mesenchymal neuroblastoma and rhabdoid tumors than to other TNBC subtypes, and the PRRX1 transcription factor serves as a key driver of these tumors. By directly regulating the transcription of mesenchymal genes, PRRX1 is sufficient for inducing the mesenchymal subtype but is not required for its maintenance.
 
Overall design RNA-seq of 15 TNBC patient derived xenografts
 
Contributor(s) Jovanović B, Temko D, Michor F, Polyak K
Citation(s) 38100350
Submission date May 11, 2022
Last update date Feb 08, 2024
Contact name Kornelia Polyak
E-mail(s) kornelia_polyak@dfci.harvard.edu
Phone 617-632-2106
Organization name Dana-Farber Cancer Institute
Department Medical Oncology
Lab Polyak
Street address 450 Brookline Ave
City Boston
State/province MA
ZIP/Postal code 02215
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (15)
GSM6133040 HCI010_RNA
GSM6133041 4272TG5_RNA
GSM6133042 5998TG5_RNA
This SubSeries is part of SuperSeries:
GSE202776 Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer
Relations
BioProject PRJNA837241

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE202773_TNBC_PDX_RNAseq_Gene_Counts.csv.gz 532.6 Kb (ftp)(http) CSV
GSE202773_TNBC_PDX_RNAseq_Gene_FPKM.csv.gz 1.0 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap