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

Integrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasis

23 Jan 2025

Abstract excerpt

OBJECTIVE: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model. METHODS: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP,...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Immunotherapy and Biomarkers
Share to Extracellular vesicles in disease
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39847423
DOI: 10.1080/07853890.2024.2447917

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasisPMID 39847423Read ↗

Single-cell Atlas reveals core function of CPVL/MSR1 expressing macrophages in the prognosis of triple-negative breast cancerSemantic proximity Read ↗

Integration of scRNA-Seq and bulk RNA-Seq to Establish a Macrophage-related Prognostic Model in Ovarian CancerSemantic proximity Read ↗

Single-cell RNA sequencing reveals immunosuppressive pathways associated with metastatic breast cancerSemantic proximity Read ↗

Integrated transcriptome and single-cell sequencing reveals M2-like tumor-associated macrophages-related prognostic signatures in breast cancerSemantic proximity Read ↗

M2-like tumor-associated macrophage-associated signatures from bulk and single-cell RNA-seq data may predict head and neck squamous cell carcinoma prognosis and immunotherapy responseSemantic proximity Read ↗

M2-like tumor-associated macrophage-related biomarkers to construct a novel prognostic signature, reveal the immune landscape, and screen drugs in hepatocellular carcinomaSemantic proximity Read ↗

Identification of a novel immune-related gene signature by single-cell and bulk sequencing for the prediction of the immune landscape and prognosis of breast cancerSemantic proximity Read ↗

Comprehensive analysis of immune evasion in breast cancer by single-cell RNA-seqSemantic proximity Read ↗

Integrative Single-Cell Transcriptomics and Co-Expression Network Analysis Identify SIMALR as a Prognostic Immune-Related LncRNA in Breast Cancer: In Silico Analysis and ValidationSemantic proximity Read ↗

Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancerSemantic proximity Read ↗

Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastasesSemantic proximity Read ↗

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasisSemantic proximity Read ↗

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