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

Identification and validation of a novel zinc finger protein-related gene-based prognostic model for breast cancer

18 Oct 2021

Abstract excerpt

BACKGROUND: Breast invasive carcinoma (BRCA) is a commonly occurring malignant tumor. Zinc finger proteins (ZNFs) constitute the largest transcription factor family in the human genome and play a mechanistic role in many cancers' development. The prognostic value of ZNFs has yet to be approached systematically for BRCA. METHODS: We analyzed the data of a training set from The Cancer Genome Atlas (TCGA) database...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34721975
DOI: 10.7717/peerj.12276

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

Identification and validation of a novel zinc finger protein-related gene-based prognostic model for breast cancerPMID 34721975Read ↗

A new prognostic signature based on cancer associated fibroblast-driven genes in breast cancerSemantic proximity Read ↗

A zinc metabolism-related gene signature for predicting prognosis and characteristics of breast cancerSemantic proximity Read ↗

A novel super-enhancer-related gene signature predicts prognosis and immune microenvironment for breast cancerSemantic proximity Read ↗

Identification of a Novel Transcription Factor Prognostic Index for Breast CancerSemantic proximity Read ↗

Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.Semantic proximity Read ↗

Identification and validation of a novel prognostic signature based on transcription factors in breast cancer by bioinformatics analysisSemantic proximity Read ↗

Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicineSemantic proximity Read ↗

Assessment of the expression patterns of ZNF667-AS1, LINC00662, and ZFP36 and their association with breast cancer patients’ clinicopathologicalSemantic proximity Read ↗

Identification and Prognostic Value Exploration of Cyclophosphamide (Cytoxan)-Centered Chemotherapy Response-Associated Genes in Breast Cancer.Semantic proximity Read ↗

Comprehensive research into prognostic and immune signatures of transcription factor family in breast cancer.Semantic proximity Read ↗

The diagnostic significance of the ZNF gene family in pancreatic cancer: a bioinformatics and experimental studySemantic proximity Read ↗

Integrating single-cell and bulk transcriptomic analyses to develop a cancer-associated fibroblast-derived biomarker for predicting prognosis and therapeutic response in breast cancerSemantic proximity Read ↗

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