Discover Community Create You

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

A 10-Gene Signature to Predict the Prognosis of Early-Stage Triple-Negative Breast Cancer

27 May 2024

Abstract excerpt

PURPOSE: Triple-negative breast cancer (TNBC) is a particularly challenging subtype of breast cancer, with a poorer prognosis compared to other subtypes. Unfortunately, unlike luminal-type cancers, there is no validated biomarker to predict the prognosis of patients with early-stage TNBC. Accurate biomarkers are needed to establish effective therapeutic strategies. MATERIALS AND METHODS: In this study, we...

Read the complete abstract on PubMed

Topics

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

Share to Breast Cancer Treatment Studies
Share to Cancer Immunotherapy and Biomarkers
Share to HER2/EGFR in Cancer Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38754473
DOI: 10.4143/crt.2024.100

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A 10-Gene Signature to Predict the Prognosis of Early-Stage Triple-Negative Breast CancerPMID 38754473Read ↗

The Early-Stage Triple-Negative Breast Cancer Landscape Derives a Novel Prognostic Signature and Therapeutic TargetSemantic proximity Read ↗

Transcriptome Analysis Derives a Novel Prognostic 7-mRNA Signature in Early-Stage Triple-Negative Breast CancerSemantic proximity Read ↗

Secondary Transcriptomic Analysis of Triple Negative Breast Cancer Reveals Reliable Universal and Subtype-Specific BiomarkersSemantic proximity Read ↗

Gene expression profile analysis to discover molecular signatures for early diagnosis and therapies of triple-negative breast cancerSemantic proximity Read ↗

Identification and validation of molecular subtypes and a 9-gene risk model for breast cancer.Semantic proximity Read ↗

Malignant cell related gene signature for patients with triple-negative breast cancer based on integrated analysis of single cell and bulk RNA sequencingSemantic proximity Read ↗

An 8-lncRNA signature predicts survival of triple-negative breast cancer patients without germline BRCA1/2 mutationSemantic proximity Read ↗

Identification and Validation of a Five-gene Signature Associated with Overall Survival in Breast Cancer PatientsSemantic proximity Read ↗

A Retrospective View on Triple Negative Breast Cancer Microenvironment: Novel Markers, Interactions, and Mechanisms of Tumor-Associated Components using public Single-cell RNA Seq DatasetsSemantic proximity Read ↗

Relationship Between Gene Expression and Drug Response in Triple-Negative Breast Cancer: Leveraging Single-Cell RNA Sequencing and Machine Learning to Identify Biomarker ProfilesSemantic proximity Read ↗

Construction and Identification of a Novel 5-Gene Signature for Predicting the Prognosis in Breast CancerSemantic proximity Read ↗

An exosome-based specific transcriptomic signature for profiling regulation patterns and modifying tumor immune microenvironment infiltration in triple-negative breast cancerSemantic proximity Read ↗

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