GSM2528185[Accession] - GEO DataSets

Warning: The NCBI web site requires JavaScript to function. more...

Format

Summary
Summary (text)
Unique Identifier List

Sort by

Default order
Number of Samples (High to Low)
Number of Samples (Low to High)

Send to:

Choose Destination

File
Clipboard
Collections

Search results

Items: 4

Select item 2000960581.

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative [cohort 3273]

(Submitter supplied) PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing

Platforms:: GPL11154 GPL18573
3409 Samples

Download data: CSV, GTF

Series

Accession:: GSE96058

ID:: 200096058

PubMed Full text in PMC Similar studies

Select item 2000815402.

(Submitter supplied) This SuperSeries is composed of the SubSeries GSE81538 [cohort 405] and GSE96058 [cohort 3273] linked to below. PURPOSE In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification. more...