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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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Single-cell sequencing in cancer research.

Mireia Mato Prado1, Adam E Frampton1,2, Justin Stebbing1

  • 1a Division of Cancer, Department of Surgery & Cancer , Imperial Centre for Translational and Experimental Medicine (ICTEM), Imperial College , Hammersmith Hospital campus, Du Cane Road, London , W12 0NN , UK.

Expert Review of Molecular Diagnostics
|November 24, 2015
PubMed
Summary
This summary is machine-generated.

Single-cell sequencing helps classify tumor cells and understand their variations. This advances precision cancer therapy and biomarker development, though challenges remain for clinical use.

Keywords:
biomarkerscancerdiagnosisprognosissingle-cell sequencing

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Genome-wide single-cell sequencing enables classification of individual cells within tumors.
  • Advances in single-cell DNA and RNA quantification reveal cellular subpopulations in heterogeneous populations.

Discussion:

  • Single-cell approaches unravel complex genetic, epigenetic, and transcriptional interactions within tumor cells.
  • Understanding cellular variability enhances knowledge of biological phenotypes and impacts treatment design.
  • This can lead to improved outcomes and reduced tumor resistance.

Key Insights:

  • Single-cell sequencing facilitates precise anticancer treatment design.
  • It aids in developing diagnostic and prognostic biomarkers for personalized cancer therapy.

Outlook:

  • Further research is needed to overcome technical, biological, and computational challenges.
  • Clinical application of single-cell sequencing in oncology requires continued investigation and development.