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

Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts

25 Dec 2021

Abstract excerpt

Epithelial-mesenchymal plasticity (EMP) underlies embryonic development, wound healing, and cancer metastasis and fibrosis. Cancer cells exhibiting EMP often have more aggressive behavior, characterized by drug resistance, and tumor-initiating and immuno-evasive traits. Thus, the EMP status of cancer cells can be a critical indicator of patient prognosis. Here, we compare three distinct transcriptomic-based...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to MicroRNA in disease regulation
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35053177
DOI: 10.3390/biom12010029

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

Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological ContextsPMID 35053177Read ↗

Transcriptomic-based quantification of the epithelial-hybrid-mesenchymal spectrum across biological contextsSemantic proximity Read ↗

Comparative study of transcriptomics-based scoring metrics for the epithelial-hybrid-mesenchymal spectrumSemantic proximity Read ↗

Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal SpectrumSemantic proximity Read ↗

Testing the Gene Expression Classification of the EMT SpectrumSemantic proximity Read ↗

Testing the gene expression classification of the EMT spectrum.Semantic proximity Read ↗

Measuring and Modelling the Epithelial- Mesenchymal Hybrid State in Cancer: Clinical ImplicationsSemantic proximity Read ↗

Decoupling epithelial-mesenchymal transitions from stromal profiles by integrative expression analysisSemantic proximity Read ↗

EMTome: a resource for pan-cancer analysis of epithelial-mesenchymal transition genes and signaturesSemantic proximity Read ↗

Stromal Signals Dominate Gene Expression Signature Scores That Aim to Describe Cancer Cell–intrinsic Stemness or Mesenchymality CharacteristicsSemantic proximity Read ↗

Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer.Semantic proximity Read ↗

Measuring and Modelling the Epithelial Mesenchymal Hybrid State in Cancer: Clinical ImplicationsSemantic proximity Read ↗

Survival Outcomes in Cancer Patients Predicted by a Partial EMT Gene Expression Scoring MetricSemantic proximity Read ↗

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