Article

Hormone Receptor-status Prediction in Breast Cancer Using Gene Expression Profiles and Their Macroscopic Landscape

2020-03-30

Abstract excerpt

The cost of next-generation sequencing technologies is rapidly declining, making RNA-seq-based gene expression profiling (GEP) an affordable technique for predicting receptor expression status and intrinsic subtypes in breast cancer (BRCA) patients. Based on the expression levels of co-expressed genes, GEP-based receptor-status prediction can classify clinical subtypes more accurately than can immunohistochemistry...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4d9f7f7e-bc0b-553a-bf66-f0e0ebfa2bd4
DOI: 10.1101/2020.03.29.014050

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hormone Receptor-status Prediction in Breast Cancer Using Gene Expression Profiles and Their Macroscopic LandscapeDOI 10.1101/2020.03.29.014050Read

Defining Breast Cancer Intrinsic Subtypes by Quantitative Receptor ExpressionSemantic proximity Read

Combined Hormone Receptor and Human Epidermal Growth Factor Receptor-2 Expression Reflects Inter-and Intra-tumor Heterogeneity in Hormone Receptor-positive/human Epidermal Growth Factor Receptor-2-positive Breast CancerSemantic proximity Read

Decoding molecular signatures and identifying therapeutic targets in triple-negative breast cancer subtypes using omics and network analysis.Semantic proximity Read

Tumor cell intrinsic and extrinsic features predicts prognosis in estrogen receptor positive breast cancerSemantic proximity Read

Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast CancerSemantic proximity Read

Integrated transcriptomic meta-analysis provides novel insights into breast cancer molecular subtypesSemantic proximity Read

THR-6E: A Six-Gene Cell-of-Origin Signature Stratifies Risk and Predicts Systemic Therapy Response in ER+/HER2− Breast CancerSemantic proximity Read

Prognostic Markers in Tyrosine Kinases Specific to Basal-like 2 Subtype of Triple-Negative Breast CancerSemantic proximity Read

Molecular essence and endocrine responsiveness of estrogen receptor-negative, progesterone receptor-positive, and HER2-negative breast cancer.Semantic proximity Read

Clinical outcome and global gene expression data support the existence of the estrogen receptor-negative/progesterone receptor-positive invasive breast cancer phenotype.Semantic proximity Read

Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technologySemantic proximity Read

The molecular portraits of breast tumors are conserved across microarray platforms.Semantic proximity Read