Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Biological Functions of the Genes in the Mammaprint Breast Cancer Profile Reflect the Hallmarks of Cancer

1 Jan 2010

Abstract excerpt

BACKGROUND: MammaPrint was developed as a diagnostic tool to predict risk of breast cancer metastasis using the expression of 70 genes. To better understand the tumor biology assessed by MammaPrint, we interpreted the biological functions of the 70-genes and showed how the genes reflect the six hallmarks of cancer as defined by Hanahan and Weinberg. RESULTS: We used a bottom-up system biology approach to...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to 14-3-3 protein interactions
Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 21151591
DOI: 10.4137/bmi.s6184

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Biological Functions of the Genes in the Mammaprint Breast Cancer Profile Reflect the Hallmarks of CancerPMID 21151591Read ↗

MammaPrint and BluePrint comprehensively capture the cancer hallmarks in early‐stage breast cancer patientsSemantic proximity Read ↗

70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer.Semantic proximity Read ↗

Performance Characteristics of the MammaPrint ® Breast Cancer Diagnostic Gene SignatureSemantic proximity Read ↗

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

Prediction of the 70-gene signature (MammaPrint) high versus low risk by nomograms among axillary lymph node positive (LN+) and negative (LN-) Chinese breast cancer patients, a retrospective studySemantic proximity Read ↗

Clinical and Molecular Characteristics of ER-Positive Breast Cancer Tumors Identified as Ultralow Risk by the 70-Gene Signature in a Randomized Clinical TrialSemantic proximity Read ↗

Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosisSemantic proximity Read ↗

OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicineSemantic proximity Read ↗

Integrated transcriptome interactome study of oncogenes and tumor suppressor genes in breast cancerSemantic proximity Read ↗

Identification of a low-risk subgroup of HER-2-positive breast cancer by the 70-gene prognosis signatureSemantic proximity Read ↗

Whole transcriptome analysis reveal MammaPrint and BluePrint-associated gene expression patterns with early lymph node metastasis in early-stage breast cancerSemantic proximity Read ↗

Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patientsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.