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 of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer

21 Sept 2020

Abstract excerpt

Background Breast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative breast cancer (TNBC) is easy to metastasize and has a short survival time, less choice of treatment options. Here, we aimed to identify the potential biomarkers to TNBC diagnosis and prognosis. Material/Methods Three independent data sets ( GSE45827 , GSE38959 , GSE65194 ) were downloaded from the...

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 Ferroptosis and cancer prognosis
Share to Wnt/β-catenin signaling in development and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33005492
DOI: 10.7717/peerj.9975

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancerPMID 33005492Read ↗

Identification of Seven Hub Genes as the Novel Biomarkers in Triple-negative Breast Cancer and Breast Cancer MetastasisSemantic proximity Read ↗

Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkersSemantic proximity Read ↗

Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysisSemantic proximity Read ↗

Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools.Semantic proximity Read ↗

Identification of Candidate Biomarkers Correlated Poorer Prognosis of Breast Cancer via Bioinformatics MethodSemantic proximity Read ↗

Hsa-mir-3163 and CCNB1 may be potential biomarkers and therapeutic targets for androgen receptor positive triple-negative breast cancerSemantic proximity Read ↗

Identification of Novel Hub Genes and Key Pathways Associated with Breast Cancer Through Various Classification ModelsSemantic proximity Read ↗

KEGG-expressed genes and pathways in triple negative breast cancerSemantic proximity Read ↗

Identification of potential key genes and pathways predicting pathogenesis and prognosis for triple-negative breast cancerSemantic proximity Read ↗

Identification of hub genes affecting triple-negative breast cancer using bioinformatics analysis strategiesSemantic proximity Read ↗

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

Demystifying the role of prognostic biomarkers in breast cancer through integrated transcriptome and pathway enrichment analysesSemantic proximity Read ↗

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